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sha256:e4e9cb4f0fd8dfae9c8f8f98d46b1b411e33812c49fe7c3e28acb5a3dcdec681 +size 5340 diff --git a/Database/gold/impactdbv2/test/Events.parquet b/Database/gold/impactdbv2/test/Events.parquet deleted file mode 100644 index a715ffe0f..000000000 --- a/Database/gold/impactdbv2/test/Events.parquet +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:fc9a743c496d9b8ec898a686d8d09af68da10cc057d4af17d88ef803ebc5759b -size 26878 diff --git a/Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Damage.parquet b/Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Damage.parquet deleted file mode 100644 index 69de87503..000000000 --- a/Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Damage.parquet +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:01cb46ebffef27bb96597875f9ad2de4dbd94731a0984cd62ea89363b357c663 -size 6296 diff --git a/Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Insured_Damage.parquet b/Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Insured_Damage.parquet deleted file mode 100644 index 58e0477f9..000000000 --- a/Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Insured_Damage.parquet +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:529656d27c369cf4045135dd1542f456395539fce07b537b3813580e8d2646d4 -size 4888 diff --git a/Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Damage.parquet b/Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Damage.parquet deleted file mode 100644 index 8baad6740..000000000 --- a/Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Damage.parquet +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:7e4b6fbd26cc632763385cb98f3fb0f3f9c387c329923e1f89585db0a41c16d7 -size 7822 diff --git a/Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Insured_Damage.parquet b/Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Insured_Damage.parquet deleted file mode 100644 index e660177d8..000000000 --- a/Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Insured_Damage.parquet +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e91343bddef989ecf2519f38ce30e033611735f7b4500144a45b75735870a503 -size 5147 diff --git a/Database/gold/impactdbv2/test/Total_Summary.parquet b/Database/gold/impactdbv2/test/Total_Summary.parquet deleted file mode 100644 index 38423b406..000000000 --- a/Database/gold/impactdbv2/test/Total_Summary.parquet +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:bc85029e2eb91269433cf666e110ed473abf3a81d406c2abb83178b1c01dc423 -size 26906 diff --git a/Database/gold/impactdbv2/test/l1/Total_Summary.parquet b/Database/gold/impactdbv2/test/l1/Total_Summary.parquet new file mode 100644 index 000000000..61c39fe48 --- /dev/null +++ b/Database/gold/impactdbv2/test/l1/Total_Summary.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dc0fcc3994ae5a06d23ef061a00a83a27b4be460390ed4d150601ffbbdec016c +size 26903 diff --git a/Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Affected.parquet b/Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Affected.parquet similarity index 100% rename from Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Affected.parquet rename to Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Affected.parquet diff --git a/Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Buildings_Damaged.parquet b/Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Buildings_Damaged.parquet similarity index 100% rename from Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Buildings_Damaged.parquet rename to Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Buildings_Damaged.parquet diff --git a/Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Damage.parquet b/Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Damage.parquet new file mode 100644 index 000000000..6fd3aff05 --- /dev/null +++ b/Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Damage.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:932637dc7a72d0df5001b809101590c01507b5485d7948cc5d3642fb25fa424e +size 6332 diff --git a/Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Deaths.parquet b/Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Deaths.parquet similarity index 100% rename from Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Deaths.parquet rename to Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Deaths.parquet diff --git a/Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Displaced.parquet b/Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Displaced.parquet similarity index 100% rename from Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Displaced.parquet rename to Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Displaced.parquet diff --git a/Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Homeless.parquet b/Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Homeless.parquet similarity index 100% rename from Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Homeless.parquet rename to Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Homeless.parquet diff --git a/Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Injuries.parquet b/Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Injuries.parquet similarity index 100% rename from Database/gold/impactdbv2/test/Instance_Per_Administrative_Areas_Injuries.parquet rename to Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Injuries.parquet diff --git a/Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Insured_Damage.parquet b/Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Insured_Damage.parquet new file mode 100644 index 000000000..77af66a26 --- /dev/null +++ b/Database/gold/impactdbv2/test/l2/Instance_Per_Administrative_Areas_Insured_Damage.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ae4297b9042bbf7055a16b112d217506a75ccd4ee87a84b141d2ce1d1a37ea75 +size 4924 diff --git a/Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Affected.parquet b/Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Affected.parquet similarity index 100% rename from Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Affected.parquet rename to Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Affected.parquet diff --git a/Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Buildings_Damaged.parquet b/Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Buildings_Damaged.parquet similarity index 100% rename from Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Buildings_Damaged.parquet rename to Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Buildings_Damaged.parquet diff --git a/Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Damage.parquet b/Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Damage.parquet new file mode 100644 index 000000000..fd3751339 --- /dev/null +++ b/Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Damage.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bc800ed79f31a9a8b5e7182be2aeea0521ed31aa0e7240f341c6070112cbb7df +size 7858 diff --git a/Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Deaths.parquet b/Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Deaths.parquet similarity index 100% rename from Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Deaths.parquet rename to Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Deaths.parquet diff --git a/Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Displaced.parquet b/Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Displaced.parquet similarity index 100% rename from Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Displaced.parquet rename to Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Displaced.parquet diff --git a/Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Homeless.parquet b/Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Homeless.parquet similarity index 100% rename from Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Homeless.parquet rename to Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Homeless.parquet diff --git a/Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Injuries.parquet b/Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Injuries.parquet similarity index 100% rename from Database/gold/impactdbv2/test/Specific_Instance_Per_Administrative_Area_Injuries.parquet rename to Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Injuries.parquet diff --git a/Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Insured_Damage.parquet b/Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Insured_Damage.parquet new file mode 100644 index 000000000..380371d31 --- /dev/null +++ b/Database/gold/impactdbv2/test/l3/Specific_Instance_Per_Administrative_Area_Insured_Damage.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1856ad13552c690c4c7268f9ea52d3959bacba337737b94cfa0a29b04ff35ea4 +size 5183 diff --git a/Database/gold_from_excel.py b/Database/gold_from_excel.py index e1ffcd5f1..11daa7d65 100644 --- a/Database/gold_from_excel.py +++ b/Database/gold_from_excel.py @@ -5,28 +5,31 @@ import pandas as pd from iso4217 import Currency +from tqdm import tqdm from Database.scr.log_utils import Logging from Database.scr.normalize_locations import NormalizeLocation +tqdm.pandas() + def flatten(xss): return [x for xs in xss for x in xs] def fix_column_names(df): - # TODO: L2 and L3 differ here! mapper = { "_Min": "Num_Min", "_Max": "Num_Max", - "_Units": "Num_Units", + "_Unit": "Num_Unit", + "_Units": "Num_Unit", "_Adjusted": "Num_Inflation_Adjusted", - "_Adjusted_Year": "Num_Adjusted_Year", + "_Adjusted_Year": "Num_Inflation_Adjusted_Year", } for k, v in mapper.items(): for col in df.columns: - if col.endswith(k): + if col.endswith(k) and not col.startswith("Num_"): df.rename(columns={col: v}, inplace=True) return df @@ -45,7 +48,7 @@ def _check_date(year: int, month: int, day: int) -> bool: datetime(year, month, day) return True except ValueError as err: - logger.error(err) + logger.error(f"Y: {year}; M: {month}; D: {day}. Error: {err}") return False @@ -90,26 +93,27 @@ def _split_range(text: str) -> tuple[float, None]: "Insured_Damage": [ "Insured_Damage_Min", "Insured_Damage_Max", - "Insured_Damage_Units", + "Insured_Damage_Unit", "Insured_Damage_Inflation_Adjusted", "Insured_Damage_Inflation_Adjusted_Year", ], "Damage": [ "Damage_Min", "Damage_Max", - "Damage_Units", + "Damage_Unit", "Damage_Inflation_Adjusted", "Damage_Inflation_Adjusted_Year", ], }, } -# L1, L2, and L3 have these three column sets in common +# l1, l2, and l3 have these three column sets in common shared_cols = [ "Event_ID", "Event_ID_decimal", "Sources", "Event_Names", + "Main_Event", "Hazards", "split", # dataset split; example: dev/test ] @@ -125,7 +129,7 @@ def _split_range(text: str) -> tuple[float, None]: "End_Date_Day", ] -# set L1 output target columns +# set l1 output target columns target_columns = flatten( [ shared_cols, @@ -138,14 +142,14 @@ def _split_range(text: str) -> tuple[float, None]: ## SETTINGS TO NORMALIZE COLUMNS ## -# get numeric type columns -numeric_type_col = [] +# get numerical type columns +numerical_type_col = [] for i in event_breakdown_columns["numerical"].keys(): - numeric_type_col.extend(event_breakdown_columns["numerical"][i]) + numerical_type_col.extend(event_breakdown_columns["numerical"][i]) # get string type columns convert_to_str = flatten([shared_cols]) -convert_to_int = flatten([date_cols, numeric_type_col]) +convert_to_int = flatten([date_cols, numerical_type_col]) convert_to_list = [ "Sources", "Event_Names", @@ -205,7 +209,7 @@ def flatten_data_table(): for col in convert_to_int: logger.debug(f"Casting column {col} as int") if col in data_table.columns: - data_table[col] = data_table[col].apply( + data_table[col] = data_table[col].progress_apply( lambda x: (None if x is None else (int(x.strip()) if str(x).isdigit() else None)) ) data_table = data_table.replace(float("nan"), None) @@ -213,18 +217,20 @@ def flatten_data_table(): logger.info(f"Converting to strings: {convert_to_str}") for col in convert_to_str: logger.debug(col) - data_table[col] = data_table[col].apply(lambda x: None if x is None else str(x).strip()) + data_table[col] = data_table[col].progress_apply(lambda x: None if x is None else str(x).strip()) logger.info(f"Splitting by pipes: {split_by_pipe} and normalizing NULLs in the output lists") for col in split_by_pipe: logger.debug(f"Casting column {col} as list") - data_table[col] = data_table[col].apply(lambda x: [y for y in x.split("|")] if isinstance(x, str) else None) - data_table[col] = data_table[col].apply( + data_table[col] = data_table[col].progress_apply( + lambda x: [y for y in x.split("|")] if isinstance(x, str) else None + ) + data_table[col] = data_table[col].progress_apply( lambda x: ([None if re.match(null_pattern, text) else text for text in x] if x else None) ) logger.info(f"Validating Units for monetary type columns...") for col in currency_unit_cols: - data_table[f"{col}_valid_currency"] = data_table[col].apply( + data_table[f"{col}_valid_currency"] = data_table[col].progress_apply( lambda x: all([_check_currency(y) for y in x]) if x else True ) assert all(data_table[f"{col}_valid_currency"]) @@ -234,14 +240,16 @@ def flatten_data_table(): for col in date_cols: if col.endswith("Year"): - data_table[f"{col}_valid_year"] = data_table[col].apply( + data_table[f"{col}_valid_year"] = data_table[col].progress_apply( lambda x: (len(str(x).split(".")[0]) == 4 and x > 0 and x <= datetime.now().year if x else True) ) assert all(data_table[f"{col}_valid_year"]) data_table.drop(columns=[f"{col}_valid_year"], inplace=True) if col.endswith("Month"): - data_table[f"{col}_valid_month"] = data_table[col].apply(lambda x: x <= 12 and x > 0 if x else True) + data_table[f"{col}_valid_month"] = data_table[col].progress_apply( + lambda x: x <= 12 and x > 0 if x else True + ) assert all(data_table[f"{col}_valid_month"]) data_table.drop(columns=[f"{col}_valid_month"], inplace=True) @@ -253,7 +261,7 @@ def flatten_data_table(): f"{date_type}_Date_Month", f"{date_type}_Date_Day", ] - ].apply(lambda x: _check_date(x[0], x[1], x[2]) if all(x) else True) + ].progress_apply(lambda x: _check_date(x[0], x[1], x[2]) if all(x) else True) assert all(data_table[f"{date_type}_valid_date"]) data_table.drop(columns=[f"{date_type}_valid_date"], inplace=True) @@ -262,17 +270,17 @@ def flatten_data_table(): for col_type in event_breakdown_columns["monetary"].keys(): logger.info(f"Normalizing ranges for {col_type}") - data_table[f"{col_type}_Min"] = data_table[col_type].apply( + data_table[f"{col_type}_Min"] = data_table[col_type].progress_apply( lambda x: [_split_range(y)[0] for y in x] if isinstance(x, list) else None ) - data_table[f"{col_type}_Max"] = data_table[col_type].apply( + data_table[f"{col_type}_Max"] = data_table[col_type].progress_apply( lambda x: [_split_range(y)[1] for y in x] if isinstance(x, list) else None ) logger.info(f"Converting to floats: {convert_to_float}") for col in convert_to_float: logger.debug(col) - data_table[col] = data_table[col].apply(lambda x: float(x) if isinstance(x, str) else None) + data_table[col] = data_table[col].progress_apply(lambda x: float(x) if isinstance(x, str) and x else None) yes_pattern = re.compile(r"^[\s|.|,]*(yes|true)[\s|.|,]*$", flags=re.IGNORECASE | re.MULTILINE) no_pattern = re.compile(r"^[\s|.|,]*(No|false)[\s|.|,]*$", flags=re.IGNORECASE | re.MULTILINE) @@ -281,7 +289,7 @@ def flatten_data_table(): for col in convert_to_boolean: logger.debug(col) if col in split_by_pipe: - data_table[col] = data_table[col].apply( + data_table[col] = data_table[col].progress_apply( lambda x: ( [ ( @@ -297,7 +305,7 @@ def flatten_data_table(): ) else: - data_table[col] = data_table[col].apply( + data_table[col] = data_table[col].progress_apply( lambda text: ( True if text and not isinstance(text, bool) and re.match(yes_pattern, text) @@ -307,25 +315,24 @@ def flatten_data_table(): norm_loc = NormalizeLocation( gadm_path="Database/data/gadm_world.csv", unsd_path="Database/data/UNSD — Methodology.csv", - rate_limiter=False if args.no_rate_limiter else True, ) logger.info("Extracting list of administrative areas and locations") data_table[["_Administrative_Area", "_Location"]] = ( - data_table["Location_raw"].apply(norm_loc.extract_locations).apply(pd.Series) + data_table["Location_raw"].progress_apply(norm_loc.extract_locations).progress_apply(pd.Series) ) for i in ["_Administrative_Area", "_Location"]: data_table[i] = data_table[i].replace(float("nan"), None) logger.info("Normalizing administrative areas") - data_table["Administrative_Area_Norm"] = data_table["_Administrative_Area"].apply( + data_table["Administrative_Area_Norm"] = data_table["_Administrative_Area"].progress_apply( lambda admin_areas: ( [norm_loc.normalize_locations(area=c, is_country=True)[0] for c in admin_areas] if admin_areas else [] ) ) logger.info("Normalizing locations") - data_table["Location_Norm"] = data_table.apply( + data_table["Location_Norm"] = data_table.progress_apply( lambda row: ( [ ([norm_loc.normalize_locations(area=a) if a else None for a in area_list] if area_list else None) @@ -336,25 +343,43 @@ def flatten_data_table(): ), axis=1, ) - data_table["Location_Norm"] = data_table["Location_Norm"].apply( + data_table["Location_Norm"] = data_table["Location_Norm"].progress_apply( lambda location_list: ( [[x[0] if x else None for x in area] if area else [] for area in location_list] if location_list else [] ) ) - logger.info("Splitting main events (L1) from instances (L2) and specific instabnces (L3)") - data_table["main"] = data_table.Event_ID_decimal.apply(lambda x: float(x).is_integer()) + logger.info("Splitting main events (l1) from instances (l2) and specific instabnces (l3)") + data_table["main"] = data_table.Event_ID_decimal.progress_apply(lambda x: float(x).is_integer()) - # data_table["Location_Norm"] = data_table["Location_raw"].apply(lambda x: []) + # data_table["Location_Norm"] = data_table["Location_raw"].progress_apply(lambda x: []) # Level 1 -- "Main Events" Events = data_table[data_table["main"] == True][[x for x in target_columns if x in data_table.columns]] - Events["Administrative_Area_Norm"] = Events["Administrative_Area_Norm"].apply(lambda x: list(set(x)) if x else None) + Events["Administrative_Area_Norm"] = Events["Administrative_Area_Norm"].progress_apply( + lambda x: list(set(x)) if x else None + ) Events.rename(columns={"Administrative_Area_Norm": "Administrative_Areas_Norm"}, inplace=True) Events.drop(columns=["Location_Norm"], inplace=True) + total_columns_rename_keys = [ + x + for x in Events.columns + if any([x.endswith(y) for y in ["_Min", "_Max", "_Unit", "_Adjusted_Year", "_Adjusted"]]) + and not x.startswith("Total_") + ] + total_columns_rename_values = [f"Total_{x}" for x in total_columns_rename_keys] + total_columns_map = { + total_columns_rename_keys[i]: total_columns_rename_values[i] for i in range(len(total_columns_rename_keys)) + } + logger.info(f"Renaming columns to 'Total_...`. Mapping: {total_columns_map}") + + Events.rename(columns=total_columns_map, inplace=True) + # Level 2 -- "Impacts Per country-level Administrative Area" - # multiple administrative areas, the lenght of this list is the same or smaller than that in "Events" (L1) - Instance_Per_Administrative_Areas = data_table[data_table["Location_Norm"].apply(lambda x: flatten(x) == [])] + # multiple administrative areas, the lenght of this list is the same or smaller than that in "Events" (l1) + Instance_Per_Administrative_Areas = data_table[ + data_table["Location_Norm"].progress_apply(lambda x: flatten(x) == []) + ] Instance_Per_Administrative_Areas = Instance_Per_Administrative_Areas[ Instance_Per_Administrative_Areas["main"] == False ] @@ -362,7 +387,7 @@ def flatten_data_table(): # Level 3 -- "Specific Instances per country-level Administrative Area" # single administrative area with multiple sub locations Specific_Instance_Per_Administrative_Area = data_table[ - ~data_table["Location_Norm"].apply(lambda x: flatten(x) == []) + ~data_table["Location_Norm"].progress_apply(lambda x: flatten(x) == []) ] Specific_Instance_Per_Administrative_Area = Specific_Instance_Per_Administrative_Area[ Specific_Instance_Per_Administrative_Area["main"] == False @@ -404,11 +429,12 @@ def flatten_data_table(): logger.debug(f"Dropping rows missing specific impacts: {df.shape}") missing_spec_impact_msk = df[event_breakdown_columns[col_type][cat]].isna().all(axis=1) df = df[~missing_spec_impact_msk] + if name == "Instance_Per_Administrative_Areas": # L2 - df["Administrative_Area_Norm"] = df["Administrative_Area_Norm"].apply( + df["Administrative_Area_Norm"] = df["Administrative_Area_Norm"].progress_apply( lambda x: [y.split("|") if y else None for y in x] ) - df["Location_Norm"] = df["Location_Norm"].apply(lambda x: flatten(x) if x else None) + df["Location_Norm"] = df["Location_Norm"].progress_apply(lambda x: flatten(x) if x else None) df = df[availble_col] df.rename( columns={"Administrative_Area_Norm": "Administrative_Areas_Norm"}, @@ -417,8 +443,8 @@ def flatten_data_table(): df.drop(columns=["Location_Norm"], inplace=True) event_breakdown_dfs[f"{name}_{cat}"] = df - elif name == "Specific_Instance_Per_Administrative_Area": # L3 - df["Administrative_Area_Norm"] = df["Administrative_Area_Norm"].apply( + elif name == "Specific_Instance_Per_Administrative_Area": # l3 + df["Administrative_Area_Norm"] = df["Administrative_Area_Norm"].progress_apply( lambda x: (x[0] if isinstance(x, list) and len(x) == 1 else None) ) df = df[availble_col] @@ -434,7 +460,7 @@ def flatten_data_table(): if __name__ == "__main__": parser = argparse.ArgumentParser() - logger = Logging.get_logger("import gold data from excel", level="DEBUG") + logger = Logging.get_logger("import gold data from excel", level="INFO") parser.add_argument( "-i", @@ -479,18 +505,21 @@ def flatten_data_table(): Events, event_breakdown_dfs = flatten_data_table() logger.info("Storing Main Events table") + lvl = "l1" if "split" in Events.columns: for i in Events["split"].unique(): - logger.info(f"Creating {args.output_dir}/{i} if it does not exist!") - pathlib.Path(f"{args.output_dir}/{i}").mkdir(parents=True, exist_ok=True) + l1_output = f"{args.output_dir}/{i}/{lvl}" + logger.info(f"Creating {l1_output} if it does not exist!") + pathlib.Path(f"{l1_output}").mkdir(parents=True, exist_ok=True) Events[Events["split"] == i][[x for x in Events.columns if x != "split"]].to_parquet( - f"{args.output_dir}/{i}/Total_Summary.parquet", + f"{l1_output}/Total_Summary.parquet", engine="fastparquet", ) else: + pathlib.Path(f"{args.output_dir}/{lvl}").mkdir(parents=True, exist_ok=True) Events.to_parquet( - f"{args.output_dir}/Total_Summary.parquet", + f"{args.output_dir}/{lvl}/Total_Summary.parquet", engine="fastparquet", ) for name, df in event_breakdown_dfs.items(): @@ -501,11 +530,12 @@ def flatten_data_table(): logger.info(f"Storing {name} table") if "split" in df.columns: for i in df["split"].unique(): - logger.info(f"Creating {args.output_dir}/{i} if it does not exist!") - pathlib.Path(f"{args.output_dir}/{i}").mkdir(parents=True, exist_ok=True) - print(f"{args.output_dir}/{i}/{name}.parquet") + lvl = "l3" if "Specific_" in name else "l2" + lvl_output = f"{args.output_dir}/{i}/{lvl}" + logger.info(f"Creating {lvl_output} if it does not exist!") + pathlib.Path(lvl_output).mkdir(parents=True, exist_ok=True) df[df["split"] == i][[x for x in df.columns if x != "split"]].to_parquet( - f"{args.output_dir}/{i}/{name}.parquet", + f"{lvl_output}/{name}.parquet", engine="fastparquet", ) else: diff --git a/Database/insert_events.py b/Database/insert_events.py new file mode 100644 index 000000000..bb2554a18 --- /dev/null +++ b/Database/insert_events.py @@ -0,0 +1,255 @@ +import argparse +import ast +import os +import pathlib +import sqlite3 + +import pandas as pd +from tqdm import tqdm + +tqdm.pandas() +from Database.scr.normalize_utils import GeoJsonUtils, Logging + +if __name__ == "__main__": + event_levels = { + "l1": { + "prefix": "Total_Summary", + "location_columns": {"Administrative_Areas": list}, + }, + "l2": { + "prefix": "Instance_Per_Administrative_Areas_", + "location_columns": {"Administrative_Areas": list}, + }, + "l3": { + "prefix": "Specific_Instance_Per_Administrative_Area_", + "location_columns": { + "Administrative_Area": str, + "Locations": list, + }, + }, + } + parser = argparse.ArgumentParser() + parser.add_argument( + "-m", + "--method", + dest="method", + default="append", + choices=["append", "replace"], + help="Choose whether to append data to the exisitng db or to replace it", + type=str, + ) + + parser.add_argument( + "-f", + "--file_dir", + dest="file_dir", + default="Database/output/dev", + help="The directory where .parquet files exist so they can be inserted into the db", + type=str, + ) + + parser.add_argument( + "-db", + "--database_name", + dest="database_name", + default="impact.v0.db", + help="The name of your database (followed by the extension name, such as ´.db´)", + type=str, + ) + + parser.add_argument( + "-lvl", + "--event_level", + dest="event_level", + required=True, + help="The event level to parse. Pass only 1", + choices=event_levels.keys(), + type=str, + ) + + parser.add_argument( + "-t", + "--target_table", + dest="target_table", + default=None, + required=False, + help="Must be a table in the target database. Example: `Instance_Per_Administrative_Areas_Deaths`. For l2 and l3 only!", + type=str, + ) + + parser.add_argument( + "-gj", + "--dump_geojson_to_file", + dest="dump_geojson_to_file", + action="store_true", + help="Pass to replace geojson columns to filenames where the geojson object is stored.", + required=False, + ) + + parser.add_argument( + "-nid", + "--nid_path", + dest="nid_path", + default="tmp/geojson_no_dupl", + required=True, + help="Where to store geojson with nid as filename.", + type=str, + ) + + parser.add_argument( + "-err", + "--error_path", + dest="error_path", + default="tmp", + required=False, + help="Where to store insertion errors if found.", + type=str, + ) + + args = parser.parse_args() + logger = Logging.get_logger(f"database-insertion", level="INFO") + + connection = sqlite3.connect(args.database_name) + cursor = connection.cursor() + files = os.listdir(args.file_dir) + errors = pd.DataFrame() + + # levels + main_level = "l1" + sub_levels = [x for x in event_levels.keys() if x != "l1"] + + if args.dump_geojson_to_file: + geojson_utils = GeoJsonUtils(nid_path=args.nid_path) + if args.event_level == main_level: + args.target_table = "Total_Summary" + logger.info(f"Inserting {main_level}...\n") + for f in files: + data = pd.read_parquet(f"{args.file_dir}/{f}", engine="fastparquet") + # geojson in l1 is always of type list + if args.dump_geojson_to_file: + logger.info(f"Popping GeoJson files out of {args.database_name} and onto disk") + for col in event_levels[args.event_level]["location_columns"].keys(): + logger.info(f"Processing GeoJson column {col}_GeoJson in {args.event_level}") + + for i in ["GeoJson", "Norm"]: + data[f"{col}_{i}"] = data[f"{col}_{i}"].apply( + lambda x: ast.literal_eval(x) if isinstance(x, str) else [] + ) + + data[f"{col}_GeoJson"] = data.progress_apply( + lambda row: ( + [ + geojson_utils.geojson_to_file(row[f"{col}_GeoJson"][i], row[f"{col}_Norm"][i]) + for i in range(len(row[f"{col}_Norm"])) + ] + if isinstance(row[f"{col}_GeoJson"], list) + and len(row[f"{col}_GeoJson"]) == len(row[f"{col}_Norm"]) + else [] + ), + axis=1, + ) + + for i in ["GeoJson", "Norm"]: + data[f"{col}_{i}"] = data[f"{col}_{i}"].astype(str) + + # change if_exists to "append" to avoid overwriting the database + # choose "replace" to overwrite the database with a fresh copy of the data + for i in tqdm(range(len(data))): + try: + data.iloc[i : i + 1].to_sql( + name=args.target_table, + con=connection, + if_exists=args.method, + index=False, + ) + except sqlite3.IntegrityError as err: + logger.debug( + f"""Could not insert event for level {args.event_level}. Error {err}. + The problematic row will be stored in /tmp/ with the error. GeoJson columns will not be included.""" + ) + err_row = data.iloc[i : i + 1][[x for x in data.columns if "GeoJson" not in x]].copy() + err_row["ERROR"] = err + errors = pd.concat([errors, err_row], ignore_index=True) + + elif args.event_level in sub_levels: + logger.info(f"Inserting {args.event_level}...\n") + assert args.target_table, f"When inserting sublevels ({sub_levels}), the target table must be specified!" + + check_table = cursor.execute( + f"""SELECT name FROM sqlite_master WHERE type='table' + AND name='{args.target_table}'; """ + ).fetchall() + + assert len(check_table) == 1, f"Table name {args.target_table} incorrect! Found {check_table} instead." + + for f in files: + data = pd.read_parquet(f"{args.file_dir}/{f}", engine="fastparquet") + + logger.info(f"Popping GeoJson files out of {args.database_name} and onto disk") + if args.dump_geojson_to_file: + for col, _type in event_levels[args.event_level]["location_columns"].items(): + logger.info(f"Processing GeoJson column {col} in {args.event_level}; File: {f}") + if _type == list: + for i in ["GeoJson", "Norm"]: + data[f"{col}_{i}"] = data[f"{col}_{i}"].apply( + lambda x: ast.literal_eval(x) if isinstance(x, str) else [] + ) + + data[f"{col}_GeoJson"] = data.progress_apply( + lambda row: ( + [ + geojson_utils.geojson_to_file(row[f"{col}_GeoJson"][i], row[f"{col}_Norm"][i]) + for i in range(len(row[f"{col}_Norm"])) + ] + if isinstance(row[f"{col}_GeoJson"], list) + and len(row[f"{col}_GeoJson"]) == len(row[f"{col}_Norm"]) + else [] + ), + axis=1, + ) + for i in ["GeoJson", "Norm"]: + data[f"{col}_{i}"] = data[f"{col}_{i}"].astype(str) + + elif _type == str: + data[f"{col}_GeoJson"] = data.progress_apply( + lambda row: ( + geojson_utils.geojson_to_file(row[f"{col}_GeoJson"], row[f"{col}_Norm"]) + if isinstance(row[f"{col}_GeoJson"], str) + else None + ), + axis=1, + ) + for i in ["GeoJson", "Norm"]: + data[f"{col}_{i}"] = data[f"{col}_{i}"].astype(str) + + # change if_exists to "append" to avoid overwriting the database + # choose "replace" to overwrite the database with a fresh copy of the data + for i in tqdm(range(len(data))): + try: + data.iloc[i : i + 1].to_sql( + name=args.target_table, + con=connection, + if_exists=args.method, + index=False, + ) + except sqlite3.IntegrityError as err: + logger.debug( + f"""Could not insert event for level {args.event_level}. Error {err}. + The problematic row will be stored in tmp/ with the error. GeoJson columns will not be included.""" + ) + err_row = data.iloc[i : i + 1][[x for x in data.columns if "GeoJson" not in x]].copy() + err_row["ERROR"] = err + errors = pd.concat([errors, err_row], ignore_index=True) + + geojson_utils.store_non_english_nids() + + if errors.shape != (0, 0): + from time import time + + tmp_errors_filename = ( + f"{args.error_path}/db_insert_errors_{args.event_level}_{args.target_table}_{int(time())}.json" + ) + logger.error(f"Insert errors were found! THIS ROW WAS NOT INSERTED! Storing in {tmp_errors_filename}") + pathlib.Path(args.error_path).mkdir(parents=True, exist_ok=True) + errors.to_json(tmp_errors_filename, orient="records") + connection.close() diff --git a/Database/insert_full_run.sh b/Database/insert_full_run.sh new file mode 100644 index 000000000..37238ceb0 --- /dev/null +++ b/Database/insert_full_run.sh @@ -0,0 +1,74 @@ +#!/usr/bin/env bash + +################## +# This bash script inserts levels of all events (l1, l2, and l3) in one go +# The files must exist in a certain tree format. +# Here is an example with some categories: +# . +# ├── l1 +# │ └── 0000.parquet +# ├── l2 +# │ ├── Instance_Per_Administrative_Areas_Affected +# │ │ ├── 0000.parquet +# │ │ ├── 0001.parquet +# │ │ ├── ... +# │ │ └── 0034.parquet +# │ ├── Instance_Per_Administrative_Areas_Buildings_Damaged +# │ │ └── 0000.parquet +# │ ├── Instance_Per_Administrative_Areas_Displaced +# │ │ ├── 0000.parquet +# │ │ ├── 0001.parquet +# │ │ ├── ... +# │ │ └── 0201.parquet +# │ └── Instance_Per_Administrative_Areas_Damage +# │ ├── 0000.parquet +# │ ├── 0001.parquet +# │ ├── ... +# │ └── 0345.parquet +# └── l3 +# ├── Specific_Instance_Per_Administrative_Area_Affected +# │ ├── 0000.parquet +# │ └── 0001.parquet +# ├── Specific_Instance_Per_Administrative_Area_Buildings_Damaged +# │ ├── 0000.parquet +# │ ├── 0001.parquet +# │ └── 0002.parquet +# ├── Specific_Instance_Per_Administrative_Area_Deaths +# │ ├── 0000.parquet +# │ ├── 0001.parquet +# │ ├── ... +# │ └── 0103.parquet +# └── Specific_Instance_Per_Administrative_Area_Injuries +# └── 0000.parquet +# +# Note 1: All categories are supported! Any other directories are ignroed! +# Note 2: Rows that could not be inserted due to some Integrity Error are stored in /tmp/ +################### + +levels=("l1" "l2" "l3") +inputFilesDir=${1} +dbName=${2} +nidPath=${3} + +echo Input: ${inputFilesDir} +echo Inserting into ${dbName} + +for lvl in "${levels[@]}"; do + if [[ ${lvl} == "l1" ]] + then + poetry run python3 Database/insert_events.py -m append -f ${inputFilesDir}/${lvl} -db ${dbName} -lvl ${lvl} -gj -nid ${nidPath} + echo Inserting ${lvl} + + else + for filePath in ${inputFilesDir}/${lvl}/*; do + echo Inserting ${lvl} + echo File Path ${filePath} + tblName=$(basename $filePath) + echo Table Name ${tblName} + poetry run python3 Database/insert_events.py -m "append" -f ${filePath} -db ${dbName} -lvl ${lvl} -t ${tblName} -gj -nid ${nidPath} + done + fi +done + +echo Inserting geojson to table GeoJson_Obj +poetry run python3 Database/schema/populate_geojson_table.py -db ${dbName} -tbl Database/schema/geojson_tbl.sql -f 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b/Database/output/dummy/l3/Specific_Instance_Per_Administrative_Area_Injuries/0000.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:549850694c457b088d92cafaa9f3da8603a1519aa2aef2babe5241ac08bb24d0 +size 117852104 diff --git a/Database/parse_events.py b/Database/parse_events.py index 3b6a3826c..c26491f0e 100644 --- a/Database/parse_events.py +++ b/Database/parse_events.py @@ -1,475 +1,652 @@ import argparse +import os import pathlib import re import pandas as pd +from tqdm import tqdm from Database.scr.log_utils import Logging from Database.scr.normalize_locations import NormalizeLocation from Database.scr.normalize_numbers import NormalizeNumber from Database.scr.normalize_utils import NormalizeUtils -if __name__ == "__main__": - logger = Logging.get_logger("parse_events") - - parser = argparse.ArgumentParser() - parser.add_argument( - "-sm", - "--spaCy_model", - dest="spaCy_model_name", - default="en_core_web_trf", - help="Choose a valid spaCy language model (https://spacy.io/models)", - type=str, - ) - parser.add_argument( - "-f", - "--filename", - dest="filename", - help="The name of the json file in the directory", - type=str, - ) - parser.add_argument( - "-r", - "--raw_dir", - dest="raw_dir", - help="The directory containing raw json files to be parsed", - type=str, - ) - parser.add_argument( - "-o", - "--output_dir", - dest="output_dir", - help="The directory where the parsed events will land (as .parquet)", - type=str, - ) - parser.add_argument( - "-l", - "--locale", - dest="locale_config", - default="en_US.UTF-8", - help="The locale encoding to localize numbers (eg. '32 000' -> `32000` or '1.000.000 (sv)' -> `1000000`). Run `import locale; locale.locale_alias` to get a full list of available locales", - type=str, - ) - - parser.add_argument( - "-t", - "--event_type", - dest="event_type", - default="all", - choices=["all", "main", "sub"], - help="Choose which events to parse. Possible values: main, sub, all", - type=str, - ) - - parser.add_argument( - "-con", - "--country_column", - dest="country_column", - default="Country", - help="Name of the column containing a list of countries", - type=str, - ) +tqdm.pandas() - parser.add_argument( - "-loc", - "--location_column", - dest="location_column", - default="Location", - help="Name of the column containing a list of countries", - type=str, - ) - - args = parser.parse_args() - logger.info(f"Passed args: {args}") - - logger.info(f"Creating {args.output_dir} if it does not exist!") - pathlib.Path(args.output_dir).mkdir(parents=True, exist_ok=True) - - utils = NormalizeUtils() - nlp = utils.load_spacy_model(args.spaCy_model_name) - norm_num = NormalizeNumber(nlp, locale_config=args.locale_config) +def parse_main_events(df: pd.DataFrame, target_columns: list): + admin_area_col = "Administrative_Areas" + logger.info("STEP: Parsing main level events (l1)") - norm_loc = NormalizeLocation( - gadm_path="Database/data/gadm_world.csv", - unsd_path="Database/data/UNSD — Methodology.csv", - ) - - df = pd.read_json(f"{args.raw_dir}/{args.filename}") - logger.info("JSON datafile loaded") - - # add short uids for each event if missing if "Event_ID" not in df.columns: logger.info("Event ids missing... generating random short uuids for col Event_ID") df["Event_ID"] = [utils.random_short_uuid() for _ in df.index] - - # unpack Total_Summary_* columns - total_summary_cols = [col for col in df.columns if col.startswith("Total_")] + logger.info("Unpacking Total_Summary_* columns") + total_summary_cols = [col for col in df.columns if col.startswith("Total_Summary_")] for i in total_summary_cols: - df[i] = df[i].apply(utils.eval) + df[i] = df[i].progress_apply(utils.eval) events = utils.unpack_col(df, columns=total_summary_cols) logger.info(f"Total summary columns: {total_summary_cols}") - del df - if args.event_type in ["main", "all"]: - if all([c in events.columns for c in ["Start_Date", "End_Date"]]): - logger.info("Normalizing dates for main events") - start_dates = events.Start_Date.apply(utils.normalize_date) - end_dates = events.End_Date.apply(utils.normalize_date) - - start_date_cols = pd.DataFrame( - start_dates.to_list(), - columns=["Start_Date_Day", "Start_Date_Month", "Start_Date_Year"], + if any([c in events.columns for c in ["Start_Date", "End_Date"]]): + logger.info("STEP: Normalizing start and end dates if present") + for d_col in ["Start_Date", "End_Date"]: + logger.info(f"Normalizing date column: {d_col}") + dates = events[d_col].progress_apply(utils.normalize_date) + date_cols = pd.DataFrame( + dates.to_list(), + columns=[f"{d_col}_Day", f"{d_col}_Month", f"{d_col}_Year"], ) - end_date_cols = pd.DataFrame( - end_dates.to_list(), - columns=["End_Date_Day", "End_Date_Month", "End_Date_Year"], + events = pd.concat([events, date_cols], axis=1) + del date_cols + + logger.info("STEP: Normalizing booleans if present") + _yes, _no = re.compile(r"^(yes)$|^(y)$|^(true)$", re.IGNORECASE | re.MULTILINE), re.compile( + r"^(no)$|^(n)$|^(false)$", re.IGNORECASE | re.MULTILINE + ) + for inflation_adjusted_col in [col for col in events.columns if col.endswith("_Adjusted")]: + logger.info(f"Normalizing boolean column {inflation_adjusted_col}") + events[inflation_adjusted_col] = events[inflation_adjusted_col].replace({_no: False, _yes: True}, regex=True) + + logger.info("STEP: Normalizing nulls") + events = utils.replace_nulls(events) + + total_cols = [ + col + for col in events.columns + if col.startswith("Total_") + and not col.endswith(("_with_annotation", "_Unit", "_Year", "_Annotation", "_Adjusted")) + ] + + logger.info(f"STEP: Normalizing ranges if present in {total_cols}") + for i in total_cols: + if i in events.columns: + logger.info(f"Normalizing ranges in {i}") + events[[f"{i}_Min", f"{i}_Max", f"{i}_Approx"]] = ( + events[i] + .progress_apply(lambda x: (norm_num.extract_numbers(x) if isinstance(x, str) else (None, None, None))) + .progress_apply(pd.Series) ) - events = pd.concat([events, start_date_cols, end_date_cols], axis=1) - del start_dates, end_dates, start_date_cols, end_date_cols + split_by_pipe_cols = ["Hazards"] + for str_col in [x for x in events.columns if x in split_by_pipe_cols]: + logger.info(f"Splitting column {str_col} by pipe") + events[str_col] = events[str_col].progress_apply( + lambda x: (x.split("|") if isinstance(x, str) else (x if isinstance(x, str) else None)) + ) - # normalize binary categories into booleans - logger.info("Normalizing booleans") - _yes, _no = re.compile(r"^(yes)$|^(y)$|^(true)$", re.IGNORECASE | re.MULTILINE), re.compile( - r"^(no)$|^(n)$|^(false)$", re.IGNORECASE | re.MULTILINE + logger.info("STEP: Normalizing country-level administrative areas if present") + + if "Administrative_Areas" in events.columns: + logger.info(f"Ensuring that all admin area data in Administrative_Areas is of type ") + events["Administrative_Areas"] = events["Administrative_Areas"].progress_apply( + lambda x: utils.eval(x) if x is not None else [] ) - for inflation_adjusted_col in [col for col in events.columns if col.endswith("_Inflation_Adjusted")]: - logger.info(f"Normalizing boolean column {inflation_adjusted_col}") - events[inflation_adjusted_col] = events[inflation_adjusted_col].replace( - {_no: False, _yes: True}, regex=True + logger.info("Normalizing administrative areas...") + events[f"{admin_area_col}_Tmp"] = events["Administrative_Areas"].progress_apply( + lambda admin_areas: ( + [norm_loc.normalize_locations(c, is_country=True) for c in admin_areas] + if isinstance(admin_areas, list) + else [] + ) + ) + events[ + [ + f"{admin_area_col}_Norm", + f"{admin_area_col}_Type", + f"{admin_area_col}_GeoJson", + ] + ] = ( + events[f"{admin_area_col}_Tmp"] + .progress_apply( + lambda x: ( + ( + [i[0] for i in x], + [i[1] for i in x], + [i[2] for i in x], + ) + if isinstance(x, list) + else None + ) ) + .progress_apply(pd.Series) + ) - logger.info("Normalizing nulls") - events = utils.replace_nulls(events) + events.drop(columns=[f"{admin_area_col}_Tmp"], inplace=True) + logger.info("Getting GID from GADM for Administrative Areas") + events[f"{admin_area_col}_GID"] = events[f"{admin_area_col}_Norm"].progress_apply( + lambda admin_areas: ( + [norm_loc.get_gadm_gid(country=c) if c else None for c in admin_areas] + if isinstance(admin_areas, list) + else None + ), + ) - total_cols = [ - col - for col in events.columns - if col.startswith("Total_") - and not col.endswith(("_with_annotation", "_Units", "_Year", "_Annotation", "_Adjusted")) - ] + logger.info("STEP: Cleanup") + logger.info("Normalizing nulls") + events = utils.replace_nulls(events) + logger.info("Cleaning event names...") + event_name_col = [x for x in events.columns if "Event_Name" in x] + if len(event_name_col) == 1: + event_name_col = event_name_col[0] + events["Event_Names"] = events[event_name_col].progress_apply( + lambda x: ([x.strip()] if isinstance(x, str) else ([y.strip() for y in x]) if isinstance(x, list) else None) + ) + logger.info("Converting annotation columns to strings to store in sqlite3") + annotation_cols = [col for col in events.columns if col.endswith(("_with_annotation", "_Annotation"))] + for col in annotation_cols: + events[col] = events[col].astype(str) + logger.info("Converting list columns to strings to store in sqlite3") + + for col in events.columns: + events[col] = events[col].astype(str) + + logger.info(f"Storing parsed results for l1 events. Target columns: {target_columns}") + df_to_parquet( + events[[x for x in target_columns if x in events.columns]], + f"{args.output_dir}/l1", + 200, + ) + del total_summary_cols, annotation_cols, total_cols + return events + + +def parse_sub_level_event(df, level: str, target_columns: list = []): + available_subevent_levels = { + "l2": { + "prefix": "Instance", + "administrative_area_col": "Administrative_Areas", + "administrative_area_type": list, + "location_col": None, + }, + "l3": { + "prefix": "Specific", + "administrative_area_col": "Administrative_Area", + "administrative_area_type": str, + "location_col": "Locations", + }, + } + try: + assert level in available_subevent_levels + column_pattern = available_subevent_levels[level]["prefix"] + administrative_area_col = available_subevent_levels[level]["administrative_area_col"] + location_col = available_subevent_levels[level]["location_col"] + + logger.info(f"STEP: Parsing level {level} with column prefix {column_pattern}") + except AssertionError as err: + logger.error( + f"Level {level} unavailable. Available subevent levels: {list(available_subevent_levels.keys())}. Error: {err}" + ) + raise AssertionError - if total_cols: - logger.info( - f"""Normalizing numbers to ranges and determining whether or - not they are an approximate (min, max, approx). Columns: {total_cols}""" - ) + logger.info("STEP: Normalizing nulls and NaNs") + df = utils.replace_nulls(df) - for i in total_cols: - events[[f"{i}_Min", f"{i}_Max", f"{i}_Approx"]] = ( - events[i] - .apply(lambda x: (norm_num.extract_numbers(x) if isinstance(x, str) else (None, None, None))) - .apply(pd.Series) - ) + specific_summary_cols = [col for col in df if col.startswith(column_pattern)] + logger.info(f"STEP: Parsing {level}. Columns: {specific_summary_cols}") - if "Perils" in events.columns: - logger.info("Normalizing Perils to list") - events.Perils = events.Perils.apply(lambda x: x.split("|")) + for col in specific_summary_cols: + # evaluate string bytes to python datatype (hopefully dict, str, or list) + df[col] = df[col].progress_apply(utils.eval) - if args.country_column in events.columns: - logger.info("Ensuring that all country data is of type ") + # unpack subevents + sub_event = df[["Event_ID", col]].explode(col) - events[args.country_column] = events[args.country_column].apply( - lambda x: utils.eval(x) if x is not None else [] - ) + # drop any events that have no subevents (aka [] exploded into NaN) + sub_event.dropna(how="all", inplace=True) + sub_event = pd.concat([sub_event.Event_ID, sub_event[col].progress_apply(pd.Series)], axis=1) - logger.info(f"Removing non-country areas from country column {args.country_column}") - events[args.country_column] = events[args.country_column].apply( - lambda countries: [c for c in countries if utils.simple_country_check(c)] if countries else [] - ) + logger.info( + f"Dropping any columns with non-str column names due to None types in the dicts {[c for c in sub_event.columns if not isinstance(c, str)]}" + ) + sub_event = sub_event[[c for c in sub_event.columns if isinstance(c, str)]] - logger.info("Normalizing Countries") - events["Country_Tmp"] = events[args.country_column].apply( - lambda countries: [norm_loc.normalize_locations(c, is_country=True) for c in countries] - if countries - else [] + logger.info(f"Normalizing nulls for {level} {col}") + sub_event = utils.replace_nulls(sub_event) + + specific_total_cols = [ + # keep as list in case more are added in the future + col + for col in sub_event.columns + if col == "Num" + ] + if specific_total_cols: + logger.info( + f"""Normalizing numbers to ranges in subevent {col} and determining whether or not they are an approximate (min, max, approx). Columns: {specific_total_cols}""" ) + for i in specific_total_cols: + sub_event[[f"{i}_Min", f"{i}_Max", f"{i}_Approx"]] = ( + sub_event[i] + .progress_apply( + lambda x: (norm_num.extract_numbers(str(x)) if x is not None else (None, None, None)) + ) + .progress_apply(pd.Series) + ) + logger.info(f"Normalizing nulls for subevent {col}") + sub_event = utils.replace_nulls(sub_event) - events[["Country_Norm", "Country_Type", "Country_GeoJson"]] = ( - events["Country_Tmp"] - .apply(lambda x: ([i[0] for i in x], [i[1] for i in x], [i[2] for i in x])) - .apply(pd.Series) + _yes, _no = re.compile(r"^(yes)$|^(y)$|^(true)$", re.IGNORECASE | re.MULTILINE), re.compile( + r"^(no)$|^(n)$|^(false)$", re.IGNORECASE | re.MULTILINE + ) + for inflation_adjusted_col in [col for col in sub_event.columns if col.endswith("_Adjusted")]: + logger.info(f"Normalizing boolean column {inflation_adjusted_col} for subevent {col}") + sub_event[inflation_adjusted_col] = sub_event[inflation_adjusted_col].replace( + {_no: False, _yes: True}, regex=True ) - # TODO: Countries with no location can be searched again without the is_country flag - events.drop(columns=["Country_Tmp"], inplace=True) + logger.info(f"Normalizing dates for subevet {col}") + start_date_col, end_date_col = [col for col in sub_event.columns if col.startswith("Start_Date")], [ + col for col in sub_event.columns if col.startswith("End_Date") + ] + assert len(start_date_col) == len(end_date_col), "Check the start and end date columns" + assert len(start_date_col) <= 1, "Check the start and end date columns, there might be too many" + + if start_date_col and end_date_col: + logger.info(f"Normalizing start and end date in columns {start_date_col} and {end_date_col}") + start_date_col, end_date_col = start_date_col[0], end_date_col[0] + start_dates = sub_event[start_date_col].progress_apply(utils.normalize_date) + end_dates = sub_event[end_date_col].progress_apply(utils.normalize_date) + start_date_cols = pd.DataFrame( + start_dates.to_list(), + columns=[ + f"{start_date_col}_Day", + f"{start_date_col}_Month", + f"{start_date_col}_Year", + ], + ) + end_date_cols = pd.DataFrame( + end_dates.to_list(), + columns=[ + f"{end_date_col}_Day", + f"{end_date_col}_Month", + f"{end_date_col}_Year", + ], + ) + sub_event.reset_index(inplace=True, drop=True) + sub_event = pd.concat([sub_event, start_date_cols, end_date_cols], axis=1) + + if level == "l2": + logger.info(f"Normalizing administrative area names for {level} {col}") + sub_event[f"{administrative_area_col}_Tmp"] = sub_event[administrative_area_col].progress_apply( + lambda admin_areas: ( + [norm_loc.normalize_locations(c, is_country=True) for c in admin_areas] + if isinstance(admin_areas, list) + else [] + ) + ) + sub_event[ + [ + f"{administrative_area_col}_Norm", + f"{administrative_area_col}_Type", + f"{administrative_area_col}_GeoJson", + ] + ] = ( + sub_event[f"{administrative_area_col}_Tmp"] + .progress_apply( + lambda x: ( + ( + [i[0] for i in x], + [i[1] for i in x], + [i[2] for i in x], + ) + if isinstance(x, list) + else None + ) + ) + .progress_apply(pd.Series) + ) - logger.info("Getting GID from GADM for Countries") - events["Country_GID"] = events["Country_Norm"].apply( - lambda countries: ( - [norm_loc.get_gadm_gid(country=c) if c else None for c in countries] if countries else None + sub_event.drop(columns=[f"{administrative_area_col}_Tmp"], inplace=True) + logger.info(f"Getting GID from GADM for Administrative Areas in subevent {col}") + sub_event[f"{administrative_area_col}_GID"] = sub_event[f"{administrative_area_col}_Norm"].progress_apply( + lambda admin_areas: ( + [norm_loc.get_gadm_gid(country=c) if c else None for c in admin_areas] + if isinstance(admin_areas, list) + else None ), ) - if args.location_column in events.columns and args.country_column in events.columns: - logger.info("Normalizing Locations") - events["Location_Tmp"] = events["Location"].apply( - lambda locations: ( - [norm_loc.normalize_locations(area=area) for area in locations] if locations else None + elif level == "l3": + sub_event[ + [ + f"{administrative_area_col}_Norm", + f"{administrative_area_col}_Type", + f"{administrative_area_col}_GeoJson", + ] + ] = ( + sub_event[administrative_area_col] + .progress_apply( + lambda admin_area: ( + norm_loc.normalize_locations(admin_area, is_country=True) + if isinstance(admin_area, str) + else None + ) ) + .progress_apply(pd.Series) ) - - events[["Location_Norm", "Location_Type", "Location_GeoJson"]] = ( - events["Location_Tmp"] - .apply(lambda x: ([i[0] for i in x], [i[1] for i in x], [i[2] for i in x])) - .apply(pd.Series) + logger.info(f"Getting GID from GADM for Administrative Areas in subevent {col}") + sub_event[f"{administrative_area_col}_GID"] = sub_event[f"{administrative_area_col}_Norm"].progress_apply( + lambda admin_area: (norm_loc.get_gadm_gid(country=admin_area) if isinstance(admin_area, str) else None) ) - events.drop(columns=["Location_Tmp"], inplace=True) - logger.info("Getting GID from GADM for Locations") - - events["Location_GID"] = events.apply( + logger.info(f"Normalizing location names for subevent {col}") + sub_event[f"{location_col}_Tmp"] = sub_event.progress_apply( lambda row: ( [ - # removes "countries" from the location column - # preserves order - # TODO: if location is added to main events, pass country param to get_gadm_gid func - (norm_loc.get_gadm_gid(area=area) if area not in row["Country_Norm"] else "COUNTRY") - for area in row["Location_Norm"] + norm_loc.normalize_locations( + area=row[location_col][i], + in_country=row[f"{administrative_area_col}_Norm"], + ) + for i in range(len(row[location_col])) ] - if row["Location_Norm"] - else None + if isinstance(row[location_col], list) + else [] ), axis=1, ) - # removes "countries" from the location column - # preserves order - logger.info("Removing countries from normalized location list.") - for loc_col in ["Location_Norm", "Location_Type", "Location_GeoJson"]: - events[loc_col] = events.apply( - lambda row: [ - row[loc_col][i] for i in range(len(row["Location_GID"])) if row["Location_GID"][i] != "COUNTRY" - ], - axis=1, + sub_event[ + [ + f"{location_col}_Norm", + f"{location_col}_Type", + f"{location_col}_GeoJson", + ] + ] = ( + sub_event[f"{location_col}_Tmp"] + .progress_apply( + lambda x: ( + ( + [i[0] for i in x], + [i[1] for i in x], + [i[2] for i in x], + ) + if isinstance(x, list) + else None + ) ) - - events["Location_GID"] = events["Location_GID"].apply( - lambda locations: [l for l in locations if l != "COUNTRY"] + .progress_apply(pd.Series) ) - logger.info("Normalizing nulls") - events = utils.replace_nulls(events) - - logger.info("Converting annotation columns to strings to store in sqlite3") - annotation_cols = [col for col in events.columns if col.endswith(("_with_annotation", "_Annotation"))] - for col in annotation_cols: - events[col] = events[col].astype(str) - - logger.info("Converting list columns to strings to store in sqlite3") - - col_to_str = [ - "Perils", - args.location_column, - "Location_Norm", - "Location_Type", - "Location_GID", - "Location_GeoJson", - args.country_column, - "Country_Norm", - "Country_Type", - "Country_GID", - "Country_GeoJson", - "Total_Deaths", - "Total_Damage", - "Total_Damage_Inflation_Adjusted", - "Total_Damage_Inflation_Adjusted_Year", - ] - col_to_str.extend([col for col in events if col.startswith("Specific_")]) - - for col in col_to_str: - if col in events.columns: - events[col] = events[col].astype(str) - for i in ["Countries_Affected"]: - if i in events.columns: - logger.info(f"Dropping unwanted column {i}") - events.drop(columns=[i], inplace=True) - - logger.info(f"Storing parsed results") - events_filename = f"{args.output_dir}/{args.filename.split('.json')[0]}" - events.to_parquet(f"{events_filename}.parquet", engine="fastparquet") - - if args.event_type in ["sub", "all"]: - # clean out NaNs and Nulls - events = utils.replace_nulls(events) - - # parse subevents - specific_summary_cols = [col for col in events if col.startswith("Specific_")] - logger.info(f"Parsing subevents. Columns: {specific_summary_cols}") - specifc_summary_dfs = {} - - for col in specific_summary_cols: - # evaluate string bytes to python datatype (hopefully dict, str, or list) - events[col] = events[col].apply(utils.eval) - - # unpack subevents - sub_event = events[["Event_ID", col]].explode(col) - - # drop any events that have no subevents (aka [] exploded into NaN) - sub_event.dropna(how="all", inplace=True) - - sub_event = pd.concat([sub_event.Event_ID, sub_event[col].apply(pd.Series)], axis=1) + sub_event.drop(columns=[f"{location_col}_Tmp"], inplace=True) + logger.info(f"Getting GID from GADM for locations in subevent {col}") - logger.info( - f"Dropping any columns with non-str column names due to None types in the dicts {[c for c in sub_event.columns if not isinstance(c, str)]}" + sub_event[f"{location_col}_GID"] = sub_event.progress_apply( + lambda row: ( + [ + ( + norm_loc.get_gadm_gid( + area=row[f"{location_col}_Norm"][i], + country=row[f"{administrative_area_col}_Norm"], + ) + if isinstance(row[f"{location_col}_Norm"][i], str) + else None + ) + for i in range(len(row[f"{location_col}_Norm"])) + ] + if isinstance(row[f"{location_col}_Norm"], list) + else None + ), + axis=1, ) - sub_event = sub_event[[c for c in sub_event.columns if isinstance(c, str)]] - - logger.info(f"Normalizing nulls for subevent {col}") - sub_event = utils.replace_nulls(sub_event) - - specific_total_cols = [ - col - for col in sub_event.columns - if col.startswith("Num_") - or col.endswith("Damage") - and "Date" not in col - and args.location_column not in col - ] - - if specific_total_cols: - logger.info( - f"""Normalizing numbers to ranges in subevent {col} and determining whether or not they are an approximate (min, max, approx). Columns: {specific_total_cols}""" - ) - - for i in specific_total_cols: - sub_event[[f"{i}_Min", f"{i}_Max", f"{i}_Approx"]] = ( - sub_event[i] - .apply(lambda x: (norm_num.extract_numbers(str(x)) if x is not None else (None, None, None))) - .apply(pd.Series) - ) + logger.info(f"Storing parsed results for sunbvent {col}") + for c in sub_event.columns: + sub_event[c] = sub_event[c].astype(str) + if target_columns: + sub_event = sub_event[[x for x in target_columns if x in sub_event.columns]] + df_to_parquet( + sub_event, + target_dir=f"{args.output_dir}/{level}/{col}", + chunk_size=200, + ) - logger.info(f"Normalizing nulls for subevent {col}") - sub_event = utils.replace_nulls(sub_event) - logger.info(f"Normalizing dates for subevet {col}") - start_date_col, end_date_col = [col for col in sub_event.columns if col.startswith("Start_Date_")], [ - col for col in sub_event.columns if col.startswith("End_Date_") - ] - assert len(start_date_col) == len(end_date_col), "Check the start and end date columns" - assert len(start_date_col) <= 1, "Check the start and end date columns, there might be too many" - - if start_date_col and end_date_col: - logger.info(f"Normalizing start and end date in columns {start_date_col} and {end_date_col}") - start_date_col, end_date_col = start_date_col[0], end_date_col[0] - - start_dates = sub_event[start_date_col].apply(utils.normalize_date) - end_dates = sub_event[end_date_col].apply(utils.normalize_date) - start_date_cols = pd.DataFrame( - start_dates.to_list(), - columns=[ - f"{start_date_col}_Day", - f"{start_date_col}_Month", - f"{start_date_col}_Year", - ], - ) - end_date_cols = pd.DataFrame( - end_dates.to_list(), - columns=[ - f"{end_date_col}_Day", - f"{end_date_col}_Month", - f"{end_date_col}_Year", - ], - ) - sub_event.reset_index(inplace=True, drop=True) - sub_event = pd.concat([sub_event, start_date_cols, end_date_cols], axis=1) +def df_to_parquet( + df: pd.DataFrame, + target_dir: str, + chunk_size: int = 2000, + **parquet_wargs, +): + """Writes pandas DataFrame to parquet format with pyarrow. + Credit: https://stackoverflow.com/a/72010262/14123992 + Args: + df: DataFrame + target_dir: local directory where parquet files are written to + chunk_size: number of rows stored in one chunk of parquet file. Defaults to 2000. + """ + for i in range(0, len(df), chunk_size): + slc = df.iloc[i : i + chunk_size] + chunk = int(i / chunk_size) + fname = os.path.join(target_dir, f"{chunk:04d}.parquet") + pathlib.Path(target_dir).mkdir(parents=True, exist_ok=True) + slc.to_parquet(fname, engine="fastparquet", **parquet_wargs) + + +def get_target_cols() -> tuple[list]: + date_cols = [ + "Start_Date_Day", + "Start_Date_Month", + "Start_Date_Year", + "End_Date_Day", + "End_Date_Month", + "End_Date_Year", + ] + + event_breakdown_columns = { + "numerical": { + "Injuries": [ + "Injuries_Min", + "Injuries_Max", + "Injuries_Approx", + ], + "Deaths": ["Deaths_Min", "Deaths_Max", "Deaths_Approx"], + "Displaced": ["Displaced_Min", "Displaced_Max", "Displaced_Approx"], + "Homeless": ["Homeless_Min", "Homeless_Max", "Homeless_Approx"], + "Buildings_Damaged": [ + "Buildings_Damaged_Min", + "Buildings_Damaged_Max", + "Buildings_Damaged_Approx", + ], + "Affected": ["Affected_Min", "Affected_Max", "Affected_Approx"], + }, + "monetary": { + "Insured_Damage": [ + "Insured_Damage_Min", + "Insured_Damage_Max", + "Insured_Damage_Approx", + "Insured_Damage_Unit", + "Insured_Damage_Inflation_Adjusted", + "Insured_Damage_Inflation_Adjusted_Year", + ], + "Damage": [ + "Damage_Min", + "Damage_Max", + "Damage_Approx", + "Damage_Unit", + "Damage_Inflation_Adjusted", + "Damage_Inflation_Adjusted_Year", + ], + }, + } + + l1_target_columns = [ + "Event_ID", + "Hazards", + "Main_Event", + "Event_Names", + "Sources", + "Administrative_Areas_Norm", + "Administrative_Areas_Type", + "Administrative_Areas_GID", + "Administrative_Areas_GeoJson", + ] + + l1_target_columns.extend(date_cols) + + for cat in ["numerical", "monetary"]: + impacts = event_breakdown_columns[cat].keys() + for im in impacts: + l1_target_columns.extend([f"Total_{x}" for x in event_breakdown_columns[cat][im]]) + + basic_subevent_cols = [ + "Event_ID", + "Hazards", + "Num_Min", + "Num_Max", + "Num_Approx", + "Num_Unit", + "Num_Inflation_Adjusted", + "Num_Inflation_Adjusted_Year", + ] + l2_target_columns = basic_subevent_cols.copy() + l2_target_columns.extend(date_cols) + l2_target_columns.extend( + [ + "Administrative_Areas_Norm", + "Administrative_Areas_Type", + "Administrative_Areas_GID", + "Administrative_Areas_GeoJson", + ] + ) - location_col = col.split("Specific_Instance_Per_Country_")[-1] + l3_target_columns = basic_subevent_cols.copy() + l3_target_columns.extend(date_cols) + l3_target_columns.extend( + [ + "Administrative_Area_Norm", + "Administrative_Area_Type", + "Administrative_Area_GID", + "Administrative_Area_GeoJson", + "Locations_Norm", + "Locations_Type", + "Locations_GID", + "Locations_GeoJson", + ] + ) - logger.info(f"Normalizing country names for subevent {col}") + return l1_target_columns, l2_target_columns, l3_target_columns - sub_event[["Country_Norm", "Country_Type", "Country_GeoJson"]] = ( - sub_event[args.country_column] - .apply(lambda country: norm_loc.normalize_locations(country, is_country=True)) - .apply(pd.Series) - ) - logger.info(f"Getting GID from GADM for countries in subevent {col}") - sub_event["Country_GID"] = sub_event["Country_Norm"].apply( - lambda country: (norm_loc.get_gadm_gid(country=country) if country else None) - ) +if __name__ == "__main__": + logger = Logging.get_logger("parse_events", level="INFO") + available_event_levels = ["l1", "l2", "l3"] + l1_target_columns, l2_target_columns, l3_target_columns = get_target_cols() - """ - logger.info(f"Dropping columns with no locations for subevent {col}") - sub_event.dropna(subset=[f"Location_{location_col}"], how="all", inplace=True) - """ - logger.info(f"Normalizing location names for subevent {col}") - sub_event[ - [ - f"Location_{location_col}_Norm", - f"Location_{location_col}_Type", - f"Location_{location_col}_GeoJson", - ] - # Sometimes, subevents can have a location and country that are the same - # (meaning the sub-event occurred in the same country), so the right params - # are passed to the function (it's better to search for locations with the advanced OSM query search) - ] = sub_event.apply( - lambda row: norm_loc.normalize_locations( - area=row[f"Location_{location_col}"], in_country=row["Country_Norm"] - ) - if row[f"Location_{location_col}"] != row["Country_Norm"] - else norm_loc.normalize_locations(area=row["Country_Norm"], is_country=True), - axis=1, - ).apply( - pd.Series - ) - logger.info(f"Getting GID from GADM for locations in subevent {col}") - sub_event[f"Location_{location_col}_GID"] = sub_event.apply( - lambda row: ( - norm_loc.get_gadm_gid( - area=row[f"Location_{location_col}_Norm"], - country=row["Country_Norm"], - ) - if row[f"Location_{location_col}_Norm"] - else None - ), - axis=1, - ) + parser = argparse.ArgumentParser() + parser.add_argument( + "-sm", + "--spaCy_model", + dest="spaCy_model_name", + default="en_core_web_trf", + help="Choose a valid spaCy language model (https://spacy.io/models)", + type=str, + ) + parser.add_argument( + "-f", + "--filename", + dest="filename", + help="The name of the json file in the directory", + type=str, + ) + parser.add_argument( + "-r", + "--raw_dir", + dest="raw_dir", + help="The directory containing raw json files to be parsed", + type=str, + ) + parser.add_argument( + "-o", + "--output_dir", + dest="output_dir", + help="The directory where the parsed events will land (as .parquet)", + type=str, + ) + parser.add_argument( + "-l", + "--locale", + dest="locale_config", + default="en_US.UTF-8", + help="The locale encoding to localize numbers (eg. '32 000' -> `32000` or '1.000.000 (sv)' -> `1000000`). Run `import locale; locale.locale_alias` to get a full list of available locales", + type=str, + ) - def normalize_location_rows_if_country(row): - # if location and country are identical in subevents, generalize country normalization - if row[f"Location_{location_col}"] == row[args.country_column]: - for i in ["Norm", "Type", "GeoJson", "GID"]: - row[f"Location_{location_col}_{i}"] = row[f"Country_{i}"] - return row - else: - return row + parser.add_argument( + "-lvl", + "--event_levels", + dest="event_levels", + default=",".join(available_event_levels), + help=f'Choose which events to parse (choices: {",".join(available_event_levels)}). Pass as string and sepatate each choice with a comma; example: "l1,l2". Irrelevant levels are ignored.', + type=str, + ) + parser.add_argument( + "-rl1", + "--raw_l1", + dest="raw_l1", + default=None, + help="Pass a filename (.json) to store or retrieve the raw output from l1.", + type=str, + ) - logger.info( - "Cleaning locations and countries that are identical (a subevent where the smallest location is a country)" - ) - sub_event = sub_event.apply(lambda row: normalize_location_rows_if_country(row), axis=1) + parser.add_argument( + "-srl1", + "--store_raw_l1", + action="store_true", + help="Pass to store a raw file of l1 events in json", + required=False, + ) - sub_event[f"Location_{location_col}_GID"] = sub_event[f"Location_{location_col}_GID"].astype(str) - sub_event["Country_GID"] = sub_event["Country_GID"].astype(str) + args = parser.parse_args() + args.event_levels = args.event_levels.split(",") + assert all( + [True if x in available_event_levels else False for x in args.event_levels] + ), f"Event type not available: {[x for x in args.event_levels if x not in available_event_levels]}.\nAvailable types: {available_event_levels}" + if args.store_raw_l1: + assert ( + args.raw_l1 + ), "If the `--store_raw_l1` flag is set, the `--raw_l1` param must be passed to give the raw json output for l1 a filename!" - sub_event[ - [ - f"Location_{location_col}_Norm", - f"Location_{location_col}_Type", - f"Location_{location_col}_GeoJson", - ] - ] = sub_event[ - [ - f"Location_{location_col}_Norm", - f"Location_{location_col}_Type", - f"Location_{location_col}_GeoJson", - ] - ].astype( - str - ) + logger.info(f"Passed args: {args}") - if "Death_with_annotation" in sub_event.columns: - sub_event["Death_with_annotation"] = sub_event["Death_with_annotation"].astype(str) + logger.info(f"Creating {args.output_dir} if it does not exist!") + pathlib.Path(args.output_dir).mkdir(parents=True, exist_ok=True) - logger.info(f"Storing parsed results for sunbvent {col}") + utils = NormalizeUtils() + nlp = utils.load_spacy_model(args.spaCy_model_name) - for c in sub_event.columns: - sub_event[c] = sub_event[c].astype(str) + norm_num = NormalizeNumber(nlp, locale_config=args.locale_config) - sub_event.to_parquet(f"{args.output_dir}/{col}.parquet", engine="fastparquet") + norm_loc = NormalizeLocation( + gadm_path="Database/data/gadm_world.csv", + unsd_path="Database/data/UNSD — Methodology.csv", + ) - norm_loc.uninstall_cache() + events = None + tmp_dir = f"{args.output_dir}/tmp" + + if args.raw_l1: + try: + events = pd.read_json(f"{tmp_dir}/{args.raw_l1}") + logger.info(f"Loaded events DataFrame from {args.raw_l1}") + except BaseException as err: + logger.error(f"Cannot find {args.raw_l1}. Error: {err}.") + + if "l1" in args.event_levels: + if events is None: + df = pd.read_json(f"{args.raw_dir}/{args.filename}") + logger.info("JSON datafile loaded") + events = parse_main_events(df, l1_target_columns) + if args.store_raw_l1 and args.raw_l1: + # store raw events to extract l2 and l3 without having to reparse l1 + pathlib.Path(tmp_dir).mkdir(parents=True, exist_ok=True) + events.to_json(f"{tmp_dir}/{args.raw_l1}", orient="records") + logger.info(f"Raw events file stored in {tmp_dir}/{args.raw_l1}") + + target_cols_by_level = {"l2": l2_target_columns, "l3": l3_target_columns} + for lvl in target_cols_by_level.keys(): + if events is not None and lvl in args.event_levels: + parse_sub_level_event(events, lvl, target_columns=target_cols_by_level[lvl]) + else: + if lvl in args.event_levels: + logger.error(f"Could not parse level {lvl}") diff --git a/Database/raw/dummy/dummy_llm_output_l1_l2_l3.json b/Database/raw/dummy/dummy_llm_output_l1_l2_l3.json new file mode 100644 index 000000000..1e4cb7e03 --- /dev/null +++ b/Database/raw/dummy/dummy_llm_output_l1_l2_l3.json @@ -0,0 +1,58234 @@ +[ + { + "Event_ID": "AHPDzKR", + "Sources": "https://en.wikipedia.org/wiki?curid=68241636", + "Event_Names": "2021 European Floods", + "Total_Summary_Affected": { + "Total_Affected": "NULL", + "Total_Affected_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Affected": [ + { + "Administrative_Areas": [ + "Belgium" + ], + "Start_Date": "15 July 2021", + "End_Date": "24 July 2021", + "Num": "NULL", + "Annotation": "Belgium" + }, + { + "Administrative_Areas": [ + "Germany" + ], + "Start_Date": "14 July 2021", + "End_Date": "17 July 2021", + "Num": "NULL", + "Annotation": "Germany" + }, + { + "Administrative_Areas": [ + "Netherlands" + ], + "Start_Date": "14 July 2021", + "End_Date": "25 July 2021", + "Num": "NULL", + "Annotation": "Netherlands" + }, + { + "Administrative_Areas": [ + "Austria" + ], + "Start_Date": "17 July 2021", + "End_Date": "17 July 2021", + "Num": "NULL", + "Annotation": "Austria" + }, + { + "Administrative_Areas": [ + "Croatia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Croatia" + }, + { + "Administrative_Areas": [ + "Czech Republic", + "France" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Czech Republic" + }, + { + "Administrative_Areas": [ + "France" + ], + "Start_Date": "12 July 2021", + "End_Date": "16 July 2021", + "Num": "NULL", + "Annotation": "France" + }, + { + "Administrative_Areas": [ + "Italy" + ], + "Start_Date": "14 July 2021", + "End_Date": "14 July 2021", + "Num": "NULL", + "Annotation": "Italy" + }, + { + "Administrative_Areas": [ + "Luxembourg" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Luxembourg" + }, + { + "Administrative_Areas": [ + "Romania" + ], + "Start_Date": "15 July 2021", + "End_Date": "20 July 2021", + "Num": "NULL", + "Annotation": "Romania" + }, + { + "Administrative_Areas": [ + "Switzerland" + ], + "Start_Date": "15 July 2021", + "End_Date": "20 July 2021", + "Num": "NULL", + "Annotation": "Switzerland" + }, + { + "Administrative_Areas": [ + "United Kingdom" + ], + "Start_Date": "12 July 2021", + "End_Date": "25 July 2021", + "Num": "NULL", + "Annotation": "United Kingdom" + } + ], + "Specific_Instance_Per_Administrative_Area_Affected": [ + { + "Administrative_Area": "Austria", + "Locations": [ + "Hallein", + "Saalbach-Hinterglemm" + ], + "Start_Date": "17 July 2021", + "End_Date": "17 July 2021", + "Num": "NULL", + "Annotation": "Austria" + }, + { + "Administrative_Area": "Belgium", + "Locations": [ + "Li\u00e8ge", + "Limburg Province", + "Wallonia", + "Pepinster", + "Verviers", + "Dinant" + ], + "Start_Date": "15 July 2021", + "End_Date": "24 July 2021", + "Num": "NULL", + "Annotation": "Belgium" + }, + { + "Administrative_Area": "Croatia", + "Locations": [ + "Na\u0161ice", + "\u017dupanja", + "Nova Gradi\u0161ka", + "Osijek" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Croatia" + }, + { + "Administrative_Area": "Czech Republic", + "Locations": [ + "North Bohemia", + "\u010cesk\u00e1 L\u00edpa" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Czech Republic" + }, + { + "Administrative_Area": "France", + "Locations": [ + "Ch\u00e2tel-de-Joux", + "Plainfaing", + "Le Fied", + "Villiers-la-Ch\u00e8vre" + ], + "Start_Date": "12 July 2021", + "End_Date": "16 July 2021", + "Num": "NULL", + "Annotation": "France" + }, + { + "Administrative_Area": "Germany", + "Locations": [ + "Rhineland-Palatinate", + "North Rhine-Westphalia", + "Ahrweiler", + "Hagen", + "Kordel", + "Euskirchen", + "Rheinbach", + "Swisttal", + "Wassenberg", + "Ophoven", + "Eschweiler", + "Blessem", + "Burg Blessem", + "Bavaria", + "Saxony", + "Berchtesgadener Ache" + ], + "Start_Date": "14 July 2021", + "End_Date": "17 July 2021", + "Num": "NULL", + "Annotation": "Germany" + }, + { + "Administrative_Area": "Italy", + "Locations": [ + "Trentino-Alto Adige", + "Veneto" + ], + "Start_Date": "14 July 2021", + "End_Date": "14 July 2021", + "Num": "NULL", + "Annotation": "Italy" + }, + { + "Administrative_Area": "Luxembourg", + "Locations": [ + "Echternach", + "Rosport", + "Mersch", + "Beringen", + "Rollingen" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Luxembourg" + }, + { + "Administrative_Area": "Netherlands", + "Locations": [ + "Valkenburg aan de Geul", + "Venlo", + "Belfeld", + "Steyl", + "Arcen", + "VieCuri Hospital", + "Friesland", + "De Westereen" + ], + "Start_Date": "14 July 2021", + "End_Date": "25 July 2021", + "Num": "NULL", + "Annotation": "Netherlands" + }, + { + "Administrative_Area": "Romania", + "Locations": [ + "Alba County", + "Ocoli\u0219", + "Cluj-Napoca", + "Satu Mare", + "Ia\u0219i" + ], + "Start_Date": "15 July 2021", + "End_Date": "20 July 2021", + "Num": "NULL", + "Annotation": "Romania" + }, + { + "Administrative_Area": "Switzerland", + "Locations": [ + "Lake Biel", + "Lake Thun", + "Lake Lucerne", + "Lake Neuch\u00e2tel" + ], + "Start_Date": "15 July 2021", + "End_Date": "20 July 2021", + "Num": "NULL", + "Annotation": "Switzerland" + }, + { + "Administrative_Area": "United Kingdom", + "Locations": [ + "London", + "Kew", + "Putney", + "Chipstead", + "Notting Hill", + "Sloane Square", + "Chalk Farm", + "Hampstead", + "Wimbledon", + "Euston", + "Southampton", + "Camberwell", + "Clapham", + "Hackney Wick", + "Woodford", + "Nine Elms" + ], + "Start_Date": "12 July 2021", + "End_Date": "25 July 2021", + "Num": "NULL", + "Annotation": "United Kingdom" + } + ], + "Total_Summary_Buildings_Damaged": { + "Total_Buildings_Damaged": "NULL", + "Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Buildings_Damaged": [ + { + "Administrative_Areas": "Belgium", + "Start_Date": "15 July 2021", + "End_Date": "24 July 2021", + "Num": "NULL", + "Annotation": "Belgium" + }, + { + "Administrative_Areas": "Germany", + "Start_Date": "14 July 2021", + "End_Date": "17 July 2021", + "Num": "NULL", + "Annotation": "Germany" + }, + { + "Administrative_Areas": "Netherlands", + "Start_Date": "14 July 2021", + "End_Date": "25 July 2021", + "Num": "NULL", + "Annotation": "Netherlands" + }, + { + "Administrative_Areas": "Romania", + "Start_Date": "15 July 2021", + "End_Date": "20 July 2021", + "Num": "NULL", + "Annotation": "Romania" + } + ], + "Specific_Instance_Per_Administrative_Area_Buildings_Damaged": [ + { + "Administrative_Area": "Belgium", + "Locations": [ + "Li\u00e8ge", + "Pepinster", + "Verviers", + "Grupont", + "Dinant" + ], + "Start_Date": "15 July 2021", + "End_Date": "24 July 2021", + "Num": "20 houses", + "Annotation": "Belgium" + }, + { + "Administrative_Area": "Germany", + "Locations": [ + "Ahrweiler", + "Hagen", + "Kordel", + "Blessem", + "Euskirchen", + "Rheinbach", + "Swisttal", + "Eschweiler" + ], + "Start_Date": "14 July 2021", + "End_Date": "17 July 2021", + "Num": "several buildings", + "Annotation": "Germany" + }, + { + "Administrative_Area": "Netherlands", + "Locations": [ + "Valkenburg aan de Geul", + "Venlo", + "Belfeld", + "Steyl", + "Arcen", + "VieCuri Hospital", + "De Westereen" + ], + "Start_Date": "14 July 2021", + "End_Date": "25 July 2021", + "Num": "700 homes", + "Annotation": "Netherlands" + }, + { + "Administrative_Area": "Romania", + "Locations": [ + "Ocoli\u0219", + "Cluj-Napoca" + ], + "Start_Date": "15 July 2021", + "End_Date": "20 July 2021", + "Num": "3 houses", + "Annotation": "Romania" + } + ], + "Total_Summary_Deaths": { + "Total_Deaths": "243", + "Annotation": "Info_Box" + }, + "Instance_Per_Administrative_Areas_Deaths": [ + { + "Administrative_Areas": "Germany", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "196", + "Annotation": "Info_Box" + }, + { + "Administrative_Areas": "Belgium", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "43", + "Annotation": "Info_Box" + }, + { + "Administrative_Areas": "Romania", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2", + "Annotation": "Info_Box" + }, + { + "Administrative_Areas": "Italy", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "Info_Box" + }, + { + "Administrative_Areas": "Austria", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "Info_Box" + } + ], + "Specific_Instance_Per_Administrative_Area_Deaths": [ + { + "Administrative_Area": "Germany", + "Locations": [ + "Rhineland-Palatinate", + "North Rhine-Westphalia", + "Bavaria" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "135", + "Annotation": "Germany" + }, + { + "Administrative_Area": "Germany", + "Locations": [ + "Euskirchen" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "27", + "Annotation": "Germany" + }, + { + "Administrative_Area": "Germany", + "Locations": [ + "Bavaria" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2", + "Annotation": "Germany" 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"Administrative_Area": "Canada", + "Locations": [ + "British Columbia" + ], + "Start_Date": "June 25, 2021", + "End_Date": "July 1, 2021", + "Num": "47 people died in community living, assisted living or long-term care facilities; 62 people died from heat exposure in social housing run or funded by the provincial government; 8 individuals who lived at Vancouver Mental Health and Substance use housing died", + "Annotation": "Canada" + }, + { + "Administrative_Area": "Canada", + "Locations": [ + "Lower Mainland", + "Northern hospital" + ], + "Start_Date": "June 25, 2021", + "End_Date": "July 1, 2021", + "Num": "At least two Lower Mainland and one Northern hospital recorded indoor temperatures of over 32\u00b0C in the emergency department, while an acute care floor at Lions Gate Hospital got as hot as 38\u00b0C", + "Annotation": "Canada" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Portland" + ], + "Start_Date": "June 25, 2021", + "End_Date": "July 7, 2021", + "Num": "NULL", + "Annotation": "United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Seattle" + ], + "Start_Date": "June 25, 2021", + "End_Date": "July 7, 2021", + "Num": "NULL", + "Annotation": "United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Washington" + ], + "Start_Date": "June 25, 2021", + "End_Date": "July 7, 2021", + "Num": "NULL", + "Annotation": "United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Oregon" + ], + "Start_Date": "June 25, 2021", + "End_Date": "July 7, 2021", + "Num": "NULL", + "Annotation": "United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "California" + ], + "Start_Date": "June 25, 2021", + "End_Date": "July 7, 2021", + "Num": "NULL", + "Annotation": "United States" + } + ], + "Per_Country_Deaths": [ + { + "Administrative_Areas": [ + "Canada" + ], + "Start_Date": "June 25, 2021", + "End_Date": "July 1, 2021", + "Num": "about 600 more deaths than usual", + "Annotation": "Canada" + }, + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "at least 116 deaths with confirmed heat-related causes in Oregon", + "Annotation": "United States" + } + ], + "Specific_Instance_Per_Country_Deaths": [ + { + "Administrative_Area": "Canada", + "Locations": [ + "British Columbia" + ], + "Start_Date": "June 25, 2021", + "End_Date": "July 1, 2021", + "Num": "619", + "Annotation": "Canada" + }, + { + "Administrative_Area": "Canada", + "Locations": [ + "Alberta" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "66", + "Annotation": "Canada" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Oregon" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "116", + "Annotation": "United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Washington" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": 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"Num": "2,000 people sought refuge across 45 shelters", + "Annotation": "The Carolinas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "South Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "The Carolinas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Florida" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "13 people used a public shelter in Daytona Beach", + "Annotation": "Florida" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Florida" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Florida" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Massachusetts" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "200 people displaced by Hurricane Katrina and living at Camp Edwards", + "Annotation": "Elsewhere" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Massachusetts" + 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"Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Onslow County" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$1.2 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pender County" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$1.5 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "North Carolina" + } + ], + "Main_Event": "Tropical Storm/Cyclone", + "Main_Event_Annotation": "Info_Box", + "Hazards": "Wind|Flood", + "Hazards_Annotation": "Info_Box|North Carolina impact and extratropical transition", + "Start_Date": "September 6, 2005", + "End_Date": "September 23, 2005", + "Time_Annotation": "Info_Box", + "Administrative_Areas": [ + "Bahamas", + "East Coast of the United States", + "Atlantic Canada", + "North Carolina", + "South Carolina", + "Florida", + "Massachusetts", + "Virginia", + "Maryland", + "New Jersey", + "New York", + "Connecticut", + "Maine", + "New Hampshire", + "Vermont", + "Georgia", + "Delaware", + "Nova Scotia", + "Newfoundland", + "New Brunswick" + ], + "Administrative_Areas_Annotation": "Info_Box", + "Per_Country_Affected": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "More than 2,000 people used public shelters", + "Annotation": "Hurricane Ophelia (2005)" + }, + { + "Administrative_Areas": [ + "Canada" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Canada" + } + ], + "Specific_Instance_Per_Country_Affected": [ + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "More than 240,000 people lost power", + "Annotation": "Hurricane Ophelia (2005)" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "More than 1,500 homes were damaged", + "Annotation": "Hurricane Ophelia (2005)" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "37 of North Carolina's counties were declared disaster areas", + "Annotation": "Hurricane Ophelia (2005)" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "At least 95 people used public shelters in Wilmington", + "Annotation": "The Carolinas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "200 homes were damaged on Bald Head Island", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "15 houses were briefly isolated during the storm", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "25 people required rescue in Emerald Isle", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "South Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2,000 people sought refuge across 45 shelters", + "Annotation": "The Carolinas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "South Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "25 people used shelters in Horry and Georgetown counties", + "Annotation": "The Carolinas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "South Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "The Carolinas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Florida" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "13 people used a public shelter in Daytona Beach", + "Annotation": "Florida" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Florida" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Florida" + }, + { + "Administrative_Area": "Canada", + "Locations": [ + "Nova Scotia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "130 residents in Stewiacke experienced a power outage", + "Annotation": "Canada" + }, + { + "Administrative_Area": "Canada", + "Locations": [ + "Nova Scotia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Canada" + } + ], + "Per_Country_Buildings_Damaged": [ + { + "Administrative_Areas": "United States", + "Start_Date": "September 14, 2005", + "End_Date": "September 16, 2005", + "Num": "NULL", + "Annotation": "North Carolina impact and extratropical transition" + } + ], + "Specific_Instance_Per_Country_Buildings_Damaged": [ + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "September 14, 2005", + "End_Date": "September 16, 2005", + "Num": "1,500 homes", + "Annotation": "Hurricane Ophelia (2005)" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Bald Head Island, Brunswick County" + ], + "Start_Date": "September 14, 2005", + "End_Date": "September 16, 2005", + "Num": "200 homes", + "Annotation": "North Carolina impact and extratropical transition" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Salter Path, Carteret County" + ], + "Start_Date": "September 14, 2005", + "End_Date": "September 16, 2005", + "Num": "6 homes", + "Annotation": "North Carolina impact and extratropical transition" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Salter Path, Carteret County" + ], + "Start_Date": "September 14, 2005", + "End_Date": "September 16, 2005", + "Num": "120 homes", + "Annotation": "North Carolina impact and extratropical transition" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Surf City, Pender County" + ], + "Start_Date": "September 14, 2005", + "End_Date": "September 16, 2005", + "Num": "500 homes", + "Annotation": "North Carolina impact and extratropical transition" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Onslow County" + ], + "Start_Date": "September 14, 2005", + "End_Date": "September 16, 2005", + "Num": "388 homes", + "Annotation": "North Carolina impact and extratropical transition" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Onslow County" + ], + "Start_Date": "September 14, 2005", + "End_Date": "September 16, 2005", + "Num": "5 homes", + "Annotation": "North Carolina impact and extratropical transition" + } + ], + "Per_Country_Deaths": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "3", + "Annotation": "North Carolina impact and extratropical transition" + }, + { + "Administrative_Areas": [ + "Canada" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "North Carolina impact and extratropical transition" + } + ], + "Specific_Instance_Per_Country_Deaths": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Florida", + "South Carolina", + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "Southeastern United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "North Carolina impact and extratropical transition" + }, + { + "Administrative_Area": "Canada", + "Locations": [ + "Nova Scotia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "North Carolina impact and extratropical transition" + } + ], + "Per_Country_Displaced": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "NULL" + }, + { + "Administrative_Areas": [ + "Canada" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "NULL" + } + ], + "Specific_Instance_Per_Country_Displaced": [ + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "More than 2,000 people", + "Annotation": "Hurricane Ophelia (2005)" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Volusia County, Florida" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "13 people", + "Annotation": "Florida" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Horry and Georgetown counties, South Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "25 people", + "Annotation": "The Carolinas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "95 people", + "Annotation": "The Carolinas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Washington, North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "The Carolinas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Ocracoke Island, North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "800 tourists", + "Annotation": "The Carolinas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Horry County, South Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2,000 people", + "Annotation": "The Carolinas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Carolina Beach, North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Emerald Isle, North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "25 people", + "Annotation": "North Carolina" + } + ], + "Per_Country_Homeless": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "NULL" + } + ], + "Specific_Instance_Per_Country_Homeless": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Bald Head Island" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "At least 200 homes were damaged", + "Annotation": "North Carolina 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"Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "25 people used shelters", + "Annotation": "The Carolinas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "95 people used public shelters", + "Annotation": "The Carolinas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "200 homes damaged", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "25 people required rescue", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "175 people provided meals", + "Annotation": "Aftermath" + }, + { + "Administrative_Area": "Canada", + "Locations": [ + "Nova Scotia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "130 residents affected by power outage", + "Annotation": "Elsewhere in the United States and Canada" + } + ], + "Per_Country_Damage": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "September 6, 2005", + "End_Date": "September 23, 2005", + "Num": "$70 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "North Carolina impact and extratropical transition" + } + ], + "Specific_Instance_Per_Country_Damage": [ + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "September 6, 2005", + "End_Date": "September 23, 2005", + "Num": "$70 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "North Carolina impact and extratropical transition" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "September 6, 2005", + "End_Date": "September 23, 2005", + "Num": "$62 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "September 6, 2005", + "End_Date": "September 23, 2005", + "Num": "$19.6 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "New Hanover County" + ], + "Start_Date": "September 6, 2005", + "End_Date": "September 23, 2005", + "Num": "$4.9 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Onslow County" + ], + "Start_Date": "September 6, 2005", + "End_Date": "September 23, 2005", + "Num": "$1.2 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "North Carolina" + } + ], + "Time_Information": { + "Start_Date": "September 6, 2005", + "End_Date": "September 23, 2005", + "Time_Annotation": "Info_Box" + }, + "Location_Information": { + "Administrative_Areas": [ + "Bahamas", + "East Coast of the United States", + "Atlantic Canada", + "North Carolina", + "South Carolina", + "Florida", + "Massachusetts", + "Virginia", + "Maryland", + "New Jersey", + "New York", + "Connecticut", + "Maine", + "New Hampshire", + "Vermont", + "Nova Scotia", + "Newfoundland", + "New Brunswick" + ], + "Administrative_Areas_Annotation": "Info_Box" + }, + "Json_Error": null, + "time_information": null, + "location_information": null + }, + { + "Event_ID": "faKeQiA", + "Sources": "https://en.wikipedia.org/wiki/2017_West_Bengal_floods", + "Event_Names": "2017 West Bengal floods ", + "Total_Summary_Affected": { + "Total_Affected": "More than 27,00,000", + "Total_Affected_Annotation": "Relief and rescue" + }, + "Instance_Per_Administrative_Areas_Affected": [ + { + "Administrative_Areas": [ + "India" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "More than 27,00,000", + "Annotation": "Relief and rescue" + } + ], + "Specific_Instance_Per_Administrative_Area_Affected": [ + { + "Administrative_Area": "India", + "Locations": [ + "West Bengal" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Nearly 20 lakh (2 million)", + "Annotation": "Gangetic Bengal" + }, + { + "Administrative_Area": "India", + "Locations": [ + "West Bengal" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "27 lakh (2.7 million)", + "Annotation": "west Bengal" + }, + { + "Administrative_Area": "India", + "Locations": [ + "North Bengal" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "About one lakh (100 thousand)", + "Annotation": "north Bengal" + }, + { + "Administrative_Area": "India", + "Locations": [ + "Alipurduar", + "Jalpaiguri" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "60,000", + "Annotation": "north Bengal" + }, + { + "Administrative_Area": "India", + "Locations": [ + "Malda District" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "More than 2 lakhs (200 thousand)", + "Annotation": "north Bengal" + } + ], + "Total_Summary_Buildings_Damaged": { + "Total_Buildings_Damaged": "NULL", + "Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Buildings_Damaged": [ + { + "Administrative_Areas": [ + "India" + ], + "Start_Date": "July 2017", + "End_Date": "August 2017", + "Num": "NULL", + "Annotation": "NULL" + } + ], + "Specific_Instance_Per_Administrative_Area_Buildings_Damaged": [ + { + "Administrative_Area": "India", + "Locations": [ + "West Bengal" + ], + "Start_Date": "July 2017", + "End_Date": "August 2017", + "Num": "7,868 houses entirely destroyed, 44,361 partially damaged", + "Annotation": "Gangetic Bengal" + }, + { + "Administrative_Area": "India", + "Locations": [ + "Jharkhand" + ], + "Start_Date": "July 2017", + "End_Date": "August 2017", + "Num": "NULL", + "Annotation": "NULL" + } + ], + "Total_Summary_Deaths": { + "Total_Deaths": "At least 152", + "Annotation": "Info_Box" + }, + "Instance_Per_Administrative_Areas_Deaths": [ + { + "Administrative_Areas": [ + "India" + ], + "Start_Date": "1 June 2017", + "End_Date": "30 August 2017", + "Num": "At least 152", + "Annotation": "Info_Box" + } + ], + "Specific_Instance_Per_Administrative_Area_Deaths": [ + { + "Administrative_Area": "India", + "Locations": [ + "West Bengal" + ], + "Start_Date": "1 August 2017", + "End_Date": "NULL", + "Num": "50", + "Annotation": "2017 West Bengal floods" + }, + { + "Administrative_Area": "India", + "Locations": [ + "Jharkhand" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "8", + "Annotation": "2017 West Bengal floods" + }, + { + "Administrative_Area": "India", + "Locations": [ + "North Bengal" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "3", + "Annotation": "2017 West Bengal floods" + }, + { + "Administrative_Area": "India", + "Locations": [ + "Jharkhand" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "11", + "Annotation": "Gangetic Bengal" + }, + { + "Administrative_Area": "India", + "Locations": [ + "North Bengal" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "7", + "Annotation": "north Bengal" + } + ], + "Total_Summary_Displaced": { + "Total_Displaced": "NULL", + "Total_Displaced_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Displaced": [ + { + "Administrative_Areas": [ + "India" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "NULL" + } + ], + "Specific_Instance_Per_Administrative_Area_Displaced": [ + { + "Administrative_Area": "India", + "Locations": [ + "West Bengal" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2,301 people", + "Annotation": "Gangetic Bengal" + }, + { + "Administrative_Area": "India", + "Locations": [ + "West Bengal" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "47,000 people", + "Annotation": "west Bengal" + }, + { + "Administrative_Area": "India", + "Locations": [ + "West Bengal" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Relief and rescue" + }, + { + "Administrative_Area": "India", + "Locations": [ + "North Bengal" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "north Bengal" + } + ], + "Total_Summary_Homeless": { + "Total_Homeless": "NULL", + "Total_Homeless_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Homeless": [ + { + "Administrative_Areas": [ + "India" + ], + "Start_Date": "July 2017", + "End_Date": "August 2017", + "Num": "NULL", + "Annotation": "NULL" + } + ], + "Specific_Instance_Per_Administrative_Area_Homeless": [ + { + "Administrative_Area": "India", + "Locations": [ + "West Bengal" + ], + "Start_Date": "July 2017", + "End_Date": "August 2017", + "Num": "2,301 people were evacuated from their houses", + "Annotation": "Gangetic Bengal" + }, + { + "Administrative_Area": "India", + "Locations": [ + "West Bengal" + ], + "Start_Date": "July 2017", + "End_Date": "August 2017", + "Num": "7,868 houses were entirely destroyed while 44,361 were partially damaged", + "Annotation": "Gangetic Bengal" + }, + { + "Administrative_Area": "India", + "Locations": [ + "West Bengal" + ], + "Start_Date": "July 2017", + "End_Date": "August 2017", + "Num": "27 lakh (2.7 million) people had been affected by flood", + "Annotation": "west Bengal" + }, + { + "Administrative_Area": "India", + "Locations": [ + "West Bengal" + ], + "Start_Date": "July 2017", + "End_Date": "August 2017", + "Num": "Over 47,000 people have taken shelter in relief camps", + "Annotation": "west Bengal" + }, + { + "Administrative_Area": "India", + "Locations": [ + "North Bengal" + ], + "Start_Date": "July 2017", + "End_Date": "August 2017", + "Num": "Many of them had taken shelter in the relief camps", + "Annotation": "north Bengal" + }, + { + "Administrative_Area": "India", + "Locations": [ + "Malda District" + ], + "Start_Date": "July 2017", + "End_Date": "August 2017", + "Num": "More than 2 lakhs (200 thousand) people have been affected by the flood conditions", + "Annotation": "north Bengal" + } + ], + "Total_Summary_Injuries": { + "Total_Injuries": "NULL", + "Total_Injuries_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Injuries": [ + { + "Administrative_Areas": "India", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "NULL" + } + ], + "Specific_Instance_Per_Administrative_Area_Injuries": [ + { + "Administrative_Area": "India", + "Locations": [ + "Ghatal" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "253", 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"Administrative_Area": "Portugal", + "Locations": [ + "NULL" + ], + "Start_Date": "7 July 2022", + "End_Date": "18 July 2022", + "Num": "1,063", + "Annotation": "Portugal" + }, + { + "Administrative_Area": "Spain", + "Locations": [ + "NULL" + ], + "Start_Date": "10 June 2022", + "End_Date": "18 June 2022", + "Num": "830", + "Annotation": "June heatwave" + }, + { + "Administrative_Area": "Spain", + "Locations": [ + "NULL" + ], + "Start_Date": "10 July 2022", + "End_Date": "15 July 2022", + "Num": "360", + "Annotation": "July heatwave" + }, + { + "Administrative_Area": "Spain", + "Locations": [ + "NULL" + ], + "Start_Date": "16 July 2022", + "End_Date": "16 July 2022", + "Num": "150", + "Annotation": "July heatwave" + }, + { + "Administrative_Area": "Spain", + "Locations": [ + "NULL" + ], + "Start_Date": "10 July 2022", + "End_Date": "17 July 2022", + "Num": "510", + "Annotation": "July heatwave" + }, + { + "Administrative_Area": "Spain", + "Locations": [ + "NULL" + ], + "Start_Date": 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States" + }, + { + "Administrative_Areas": "Cuba", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "more than 8,000", + "Annotation": "Elsewhere" + } + ], + "Specific_Instance_Per_Administrative_Area_Displaced": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Wilkes-Barre", + "Kingston" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "more than 100,000", + "Annotation": "Pennsylvania" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Harrisburg" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Pennsylvania" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Wilkes-Barre" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Pennsylvania" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Forty Fort" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Pennsylvania" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Luzerne County" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Pennsylvania" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Reading" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Pennsylvania" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Chadds Ford Township" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Pennsylvania" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "York" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "36", + "Annotation": "Pennsylvania" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Richmond" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Virginia" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pulaski" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Virginia" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Port Deposit" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "nearly 1,000", + "Annotation": "Maryland" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Ellicott City", + "Elkridge" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "704", + "Annotation": "Maryland" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Anne Arundel County" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "over 300", + "Annotation": "Maryland" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Baltimore" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Maryland" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Washington, D.C." + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Elsewhere in the United States" + }, + { + "Administrative_Area": "Cuba", + "Locations": [ + "western Cuba", + "Isla de la Juventud" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "more than 8,000", + "Annotation": "Elsewhere" + } + ], + "Total_Summary_Homeless": { + "Total_Homeless": "NULL", + "Total_Homeless_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Homeless": [ + { + "Administrative_Areas": "United States", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Almost 110,000 houses were ruined", + "Annotation": "United States" + }, + { + "Administrative_Areas": "Canada", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Elsewhere" + }, + { + "Administrative_Areas": "Cuba", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Elsewhere" + } + ], + "Specific_Instance_Per_Administrative_Area_Homeless": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Florida" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "More than 100 people were left homeless", + "Annotation": "Florida" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "More than 900 people were evacuated from their homes", + "Annotation": "Maryland" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Howard County, Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "704 county residents were left homeless", + "Annotation": "Maryland" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pennsylvania" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "More than 100,000 people were forced to leave their homes", + "Annotation": "Pennsylvania" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Washington, D.C." + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "350 dwellings in Washington, D.C. suffered minor damage", + "Annotation": "Elsewhere in the United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Howard County, Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Maryland" + } + ], + "Total_Summary_Injuries": { + "Total_Injuries": "NULL", + "Total_Injuries_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Injuries": [ + { + "Administrative_Areas": "United States", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "United States" + }, + { + "Administrative_Areas": "Canada", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Elsewhere" + }, + { + "Administrative_Areas": "Cuba", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "24 people injured", + "Annotation": "Elsewhere" + } + ], + "Specific_Instance_Per_Administrative_Area_Injuries": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Cape Canaveral, Florida", + "Brevard County, Florida", + "Pierce County, Georgia", + "Coffee County, Georgia", + "Maniwaki, Quebec" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "23 injuries", + "Annotation": "Florida" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pierce County, Georgia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1 injury", + "Annotation": "Southeastern United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maniwaki, Quebec" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "11 people", + "Annotation": "Meteorological history" + } + ], + "Total_Summary_Damage": { + "Total_Damage": "$2.1 billion", + "Total_Damage_Unit": "USD", + "Total_Damage_Inflation_Adjusted": "No", + "Total_Damage_Inflation_Adjusted_Year": "NULL", + "Total_Damage_Annotation": "Info_Box" + }, + "Instance_Per_Administrative_Areas_Damage": [ + { + "Administrative_Areas": "United States", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$2.1 billion", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "United States" + }, + { + "Administrative_Areas": "Canada", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Elsewhere" + }, + { + "Administrative_Areas": "Cuba", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Elsewhere" + } + ], + "Specific_Instance_Per_Administrative_Area_Damage": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Florida" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$39 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Florida" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Georgia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$275,000", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Southeastern United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "South Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$50,000", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Southeastern United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Virginia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$125.9 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Virginia" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$110 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Maryland" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pennsylvania" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$2.3 billion", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Pennsylvania" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Ohio" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$4 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "West Virginia and Ohio" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "West Virginia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$7.7 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "West Virginia and Ohio" + } + ], + "Main_Event": "Tropical Storm/Cyclone", + "Main_Event_Annotation": "Info_Box", + "Hazards": "Wind|Flood", + "Hazards_Annotation": "Info_Box|United States|Florida|Southeastern United States|Virginia|Maryland|Pennsylvania|New York|West Virginia and Ohio|Elsewhere in the United States|Elsewhere", + "Start_Date": "June 14, 1972", + "End_Date": "July 6, 1972", + "Time_Annotation": "Info_Box", + "Administrative_Areas": [ + "Yucatan Peninsula", + "Western Cuba", + "East Coast of the United States", + "Pennsylvania", + "Atlantic Canada", + "Iceland", + "British Isles", + "Florida", + "Georgia", + "Alabama", + "Connecticut", + "Delaware", + "Rhode Island", + "South Carolina", + "Tennessee", + "New Jersey", + "Virginia", + "Maryland", + "New York", + "West Virginia", + "Ohio", + "Washington, D.C.", + "New England", + "Massachusetts", + "Vermont", + "New Hampshire", + "Cuba", + "Ontario", + "Quebec" + ], + "Administrative_Areas_Annotation": "Info_Box", + "Per_Country_Affected": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "119 fatalities", + "Annotation": "United States" + }, + { + "Administrative_Areas": [ + "Cuba" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "7 fatalities", + "Annotation": "Elsewhere" + }, + { + "Administrative_Areas": [ + "Canada" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2 fatalities", + "Annotation": "Elsewhere" + } + ], + "Specific_Instance_Per_Country_Affected": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Florida" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "9 fatalities", + "Annotation": "Florida" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Georgia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1 injury", + "Annotation": "Southeastern United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Virginia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "13 fatalities", + "Annotation": "Virginia" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "19 fatalities", + "Annotation": "Maryland" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pennsylvania" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "50 fatalities", + "Annotation": "Pennsylvania" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "New York" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "3 fatalities", + "Annotation": "New York" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "West Virginia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "West Virginia and Ohio" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Ohio" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "West Virginia and Ohio" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Delaware" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1 fatality", + "Annotation": "Elsewhere in the United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Washington, D.C." + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Elsewhere in the United States" + }, + { + "Administrative_Area": "Cuba", + "Locations": [ + "Isla de la Juventud", + "Cape San Antonio", + "Pinar del R\u00edo Province" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "7 fatalities", + "Annotation": "Elsewhere" + }, + { + "Administrative_Area": "Canada", + "Locations": [ + "Maniwaki, Quebec" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2 fatalities", + "Annotation": "Elsewhere" + } + ], + "Per_Country_Buildings_Damaged": [ + { + "Administrative_Areas": "United States", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Almost 110,000 houses were ruined", + "Annotation": "United States" + }, + { + "Administrative_Areas": "Cuba", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "97 houses were destroyed and another 270 were damaged", + "Annotation": "Elsewhere" + }, + { + "Administrative_Areas": "Canada", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Elsewhere" + } + ], + "Specific_Instance_Per_Country_Buildings_Damaged": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Florida" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "96 dwellings were destroyed, while about 1,802 suffered damage to some degree", + "Annotation": "Florida" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Georgia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "One mobile home in Georgia suffered significant damage", + "Annotation": "Southeastern United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Virginia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "95 houses were destroyed and 4,393 others were damaged, while 125 mobile homes were destroyed and another 450 were significantly affected", + "Annotation": "Virginia" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Maryland" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pennsylvania" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Pennsylvania" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "New York" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "New York" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "West Virginia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "108 houses were destroyed and 1,558 others suffered damage", + "Annotation": "West Virginia and Ohio" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Ohio" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "302 dwellings and severely affected at least three houses", + "Annotation": "West Virginia and Ohio" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Washington, D.C." + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "350 dwellings in Washington, D.C. suffered minor damage", + "Annotation": "Elsewhere in the United States" + }, + { + "Administrative_Area": "Cuba", + "Locations": [ + "Guane", + "Mantua" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Elsewhere" + }, + { + "Administrative_Area": "Canada", + "Locations": [ + "Maniwaki" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Elsewhere" + } + ], + "Per_Country_Deaths": [ + { + "Administrative_Areas": "United States", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "119", + "Annotation": "United States" + }, + { + "Administrative_Areas": "Cuba", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "seven", + "Annotation": "Elsewhere" + }, + { + "Administrative_Areas": "Canada", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "two", + "Annotation": "Elsewhere" + } + ], + "Specific_Instance_Per_Country_Deaths": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Delaware" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "one", + "Annotation": "Southeastern United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Virginia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "13", + "Annotation": "Virginia" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "19", + "Annotation": "Maryland" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pennsylvania" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "50", + "Annotation": "Pennsylvania" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Florida" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "nine", + "Annotation": "Florida" + }, + { + "Administrative_Area": "Cuba", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "seven", + "Annotation": "Elsewhere" + }, + { + "Administrative_Area": "Canada", + "Locations": [ + "Maniwaki, Quebec" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "two", + "Annotation": "Elsewhere" + } + ], + "Per_Country_Displaced": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "United States" + }, + { + "Administrative_Areas": [ + "Cuba" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "more than 8,000", + "Annotation": "Elsewhere" + } + ], + "Specific_Instance_Per_Country_Displaced": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Wilkes-Barre, Pennsylvania" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "more than 100,000", + "Annotation": "Pennsylvania" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pulaski, Virginia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Virginia" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Richmond, Virginia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "537", + "Annotation": "Virginia" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Ellicott City, Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "704", + "Annotation": "Maryland" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Elkridge, Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Maryland" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Port Deposit, Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "nearly 1,000", + "Annotation": "Maryland" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Washington, D.C." + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Elsewhere in the United States" + }, + { + "Administrative_Area": "Cuba", + "Locations": [ + "western Cuba", + "Isla de la Juventud" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "more than 8,000", + "Annotation": "Elsewhere" + } + ], + "Per_Country_Homeless": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Almost 110,000 houses were ruined", + "Annotation": "United States" + }, + { + "Administrative_Areas": [ + "Canada" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": 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"Annotation": "Reconstruction" + }, + { + "Administrative_Area": "Dominica", + "Locations": [ + "Petite Savanne" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "217 homes", + "Annotation": "Effects in Dominica" + }, + { + "Administrative_Area": "Dominica", + "Locations": [ + "Dubique" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Reconstruction" + } + ], + "Per_Country_Injuries": [ + { + "Administrative_Areas": "Dominica", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "20 others were injured", + "Annotation": "Effects in Dominica" + }, + { + "Administrative_Areas": "Haiti", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "eleven others were hospitalized", + "Annotation": "Caribbean" + } + ], + "Specific_Instance_Per_Country_Injuries": [ + { + "Administrative_Area": "Dominica", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "20 others were injured", + "Annotation": "Effects in 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"Num": "US$17.37 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "header: Caribbean, content" + }, + { + "Administrative_Area": "Georgia", + "Locations": [ + "Woodstock" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "US$2.3 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "header: Southeastern United States, content" + } + ], + "Time_Information": { + "Start_Date": "August 24, 2015", + "End_Date": "September 3, 2015", + "Time_Annotation": "Info_Box" + }, + "Location_Information": { + "Administrative_Areas": [ + "Antilles", + "Dominica", + "The Bahamas", + "Florida", + "Guadeloupe", + "Puerto Rico", + "Dominican Republic", + "Haiti", + "Cuba", + "Georgia", + "Carolinas", + "United States Virgin Islands", + "St. Croix", + "St. Thomas", + "Martinique", + "L\u00e9og\u00e2ne", + "Port-au-Prince", + "Miami Metropolitan Area", + 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"Administrative_Area": "Mainland China", + "Locations": [ + "Southern China" + ], + "Start_Date": "6 June 2008", + "End_Date": "14 June 2008", + "Num": "55", + "Annotation": "2008 South China floods" + }, + { + "Administrative_Area": "Mainland China", + "Locations": [ + "Guangdong" + ], + "Start_Date": "25 May 2008", + "End_Date": "14 June 2008", + "Num": "18", + "Annotation": "June" + }, + { + "Administrative_Area": "Mainland China", + "Locations": [ + "Guangdong" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "63", + "Annotation": "June" + }, + { + "Administrative_Area": "Mainland China", + "Locations": [ + "Wuzhou" + ], + "Start_Date": "7 June 2008", + "End_Date": "8 June 2008", + "Num": "NULL", + "Annotation": "June" + }, + { + "Administrative_Area": "Hong Kong", + "Locations": [ + "Tuen Mun" + ], + "Start_Date": "7 June 2008", + "End_Date": "7 June 2008", + "Num": "2", + "Annotation": "June" + } + ], + "Total_Summary_Displaced": { + "Total_Displaced": "more than 1.66 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], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Angleton" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Harris County" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Aldine" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Houston" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Galveston County" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Galveston", + "Hitchcock", + "La Marque", + "Texas City" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + } + ], + "Total_Summary_Buildings_Damaged": { + "Total_Buildings_Damaged": "NULL", + "Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Buildings_Damaged": [ + { + "Administrative_Areas": "United States", + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "NULL", + "Annotation": "Impact" + } + ], + "Specific_Instance_Per_Administrative_Area_Buildings_Damaged": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Hallettsville" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "150 to 200 dwellings, 75 businesses, some local government buildings", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Shiner" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "118 homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Moulton" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "18 homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Kenedy" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "70 homes, 12 mobile homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Gonzales" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "30 homes and mobile homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Waelder" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "50 homes and mobile homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Leesville" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "several dwellings", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Cuero" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "40 homes, 4 businesses", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Angleton" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "several businesses and homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Houston" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "several dozen businesses, 1,250 homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Galveston" + ], + "Start_Date": "August 29, 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"Administrative_Area": "United States", + "Locations": [ + "Shiner" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "5", + "Annotation": "Impact" + } + ], + "Total_Summary_Displaced": { + "Total_Displaced": "NULL", + "Total_Displaced_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Displaced": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "NULL" + } + ], + "Specific_Instance_Per_Administrative_Area_Displaced": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Flatonia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Kenedy" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "approximately 300 people", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Gonzales County" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Close to 200 people", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Hallettsville" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Kenedy" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "approximately 300 people", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Gonzales" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Waelder" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Hochheim" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Houston" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Aldine" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "over 100 students", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Galveston" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + } + ], + "Total_Summary_Homeless": { + "Total_Homeless": "NULL", + "Total_Homeless_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Homeless": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "NULL", + "Annotation": "Impact" + } + ], + "Specific_Instance_Per_Administrative_Area_Homeless": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Lavaca County" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "150 to 200 homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Lavaca County" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "286 homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Fayette County" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Flatonia" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "around a dozen homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Kenedy" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "70 homes, 12 mobile homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Gonzales" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "30 homes and mobile homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Waelder" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "50 homes and mobile homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Leesville" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "several dwellings", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Shiner" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "118 homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Hallettsville" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "150 to 200 dwellings", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Moulton" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "18 homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Richmond", + "Rosenberg", + "Sugar Land" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Alvin" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Angleton" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "several businesses and homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Harris County" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "1,250 homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Galveston", + "Hitchcock", + "La Marque", + "Texas City" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "La Marque" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "dozens of dwellings", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Texas City" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "100 homes", + "Annotation": "Impact" + } + ], + "Total_Summary_Injuries": { + "Total_Injuries": "NULL", + "Total_Injuries_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Injuries": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "NULL" + } + ], + "Specific_Instance_Per_Administrative_Area_Injuries": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Live Oak County near Three Rivers" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "A few people received minor injuries", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Hochheim in DeWitt County" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Three people from injured", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Harris County" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Three injuries", + "Annotation": "Impact" + } + ], + "Total_Summary_Damage": { + "Total_Damage": "$56.2 million", + "Total_Damage_Unit": "USD", + "Total_Damage_Inflation_Adjusted": "No", + "Total_Damage_Inflation_Adjusted_Year": "NULL", + "Total_Damage_Annotation": "Info_Box" + }, + "Instance_Per_Administrative_Areas_Damage": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "August 26, 1981", + "End_Date": "September 1, 1981", + "Num": "$56.2 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact" + } + ], + "Specific_Instance_Per_Administrative_Area_Damage": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Lavaca County" + ], + "Start_Date": "August 26, 1981", + "End_Date": "September 1, 1981", + "Num": "$35 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Fayette County" + ], + "Start_Date": "August 26, 1981", + "End_Date": "September 1, 1981", + "Num": "$2.7 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Karnes County" + ], + "Start_Date": "August 26, 1981", + "End_Date": "September 1, 1981", + "Num": "$5 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "DeWitt County" + ], + "Start_Date": "August 26, 1981", + "End_Date": "September 1, 1981", + "Num": "$2.4 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Gonzales County" + ], + "Start_Date": "August 26, 1981", + "End_Date": "September 1, 1981", + "Num": "$5 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact" + } + ], + "Main_Event": "Tropical Storm/Cyclone", + "Main_Event_Annotation": "Info_Box", + "Hazards": "Wind|Flood", + "Hazards_Annotation": "Info_Box|Impact", + "Start_Date": null, + "End_Date": null, + "Time_Annotation": null, + "Administrative_Areas": null, + "Administrative_Areas_Annotation": null, + "Per_Country_Affected": [ + { + "Administrative_Areas": [ + "Mexico" + ], + "Start_Date": "August 28, 1981", + "End_Date": "August 29, 1981", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "NULL", + "Annotation": "Impact" + } + ], + "Specific_Instance_Per_Country_Affected": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Shiner" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "Five people were killed by floodwaters", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Hallettsville" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Lavaca County" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "More than 286 homes were damaged or destroyed", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Galveston" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Fayette County" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Starr County" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Brooks 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"Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Gonzales County" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "Close to 200 people were rescued", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Cheapside" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Waelder" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Leesville" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Lavaca County" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "Three teenage boys drowned", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Shiner" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "Two other deaths occurred", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Hallettsville" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Moulton" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "18 homes were damaged", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Fort Bend County" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Brazoria County" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Harris County" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Aldine" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "Over 100 students were required to stay at school", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Houston" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Galveston County" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Galveston" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Hitchcock", + "La Marque", + "Texas City" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "La Marque" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Texas City" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "100 homes were damaged", + "Annotation": "Impact" + } + ], + "Per_Country_Buildings_Damaged": [ + { + "Administrative_Areas": [ + "Mexico", + "United States" + ], + "Start_Date": "August 29, 1981", + "End_Date": "September 1, 1981", + "Num": "NULL", + "Annotation": "Impact" + } + ], + "Specific_Instance_Per_Country_Buildings_Damaged": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Hallettsville" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "150 to 200 dwellings, 75 businesses, some local government buildings", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Shiner" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "118 homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Moulton" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "18 homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Kenedy" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "70 homes, 12 mobile homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Gonzales" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "30 homes and mobile homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Waelder" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "50 homes and mobile homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Leesville" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "several dwellings", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Galveston" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "several homes and buildings", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Texas City" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "100 dwellings", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Angleton" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "several businesses and homes", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Houston" + ], + "Start_Date": "August 29, 1981", + "End_Date": "NULL", + "Num": "several dozen businesses, 1,250 homes", + "Annotation": "Impact" + } + ], + "Per_Country_Deaths": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "5", + "Annotation": "Impact" + } + ], + "Specific_Instance_Per_Country_Deaths": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Shiner" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "5", + "Annotation": "Impact" + } + ], + "Per_Country_Displaced": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "NULL" + } + ], + "Specific_Instance_Per_Country_Displaced": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Flatonia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Kenedy" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "approximately 300 people", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Gonzales County" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "close to 200 people", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Hallettsville" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Kenedy" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "approximately 300 people", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Gonzales County" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "close to 200 people", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Hallettsville" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + } + ], + "Per_Country_Homeless": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "NULL" + } + ], + "Specific_Instance_Per_Country_Homeless": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Lavaca County" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "286 homes were damaged or destroyed", + "Annotation": "header: Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Hallettsville" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "150 to 200 homes were damaged", + "Annotation": "header: Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Shiner" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "118 homes were damaged", + "Annotation": "header: Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Moulton" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "18 homes were damaged", + "Annotation": "header: Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Kenedy" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "70 homes and 12 mobile homes were damaged", + "Annotation": "header: Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Gonzales" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "30 homes and mobile homes were damaged", + "Annotation": "header: Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Waelder" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "50 homes and mobile homes were damaged", + "Annotation": "header: Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Houston" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1,250 homes were damaged", + "Annotation": "header: Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Texas City" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "100 homes were damaged", + "Annotation": "header: Impact" + } + ], + "Per_Country_Injuries": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "NULL" + } + ], + "Specific_Instance_Per_Country_Injuries": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Live Oak County", + "Hochheim" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "A few people", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Hochheim" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Three people", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Harris County" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Three injuries", + "Annotation": "Impact" + } + ], + "Per_Country_Damage": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "August 26, 1981", + "End_Date": "September 1, 1981", + "Num": "$56.2 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact" + } + ], + "Specific_Instance_Per_Country_Damage": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Lavaca County" + ], + "Start_Date": "August 26, 1981", + "End_Date": "September 1, 1981", + "Num": "$35 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Fayette County" + ], + "Start_Date": "August 26, 1981", + "End_Date": "September 1, 1981", + "Num": "$2.7 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + 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"Administrative_Area": "United States", + "Locations": [ + "Fort Bend County" + ], + "Start_Date": "August 26, 1981", + "End_Date": "September 1, 1981", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Brazoria County" + ], + "Start_Date": "August 26, 1981", + "End_Date": "September 1, 1981", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Harris County" + ], + "Start_Date": "August 26, 1981", + "End_Date": "September 1, 1981", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Galveston County" + ], + "Start_Date": "August 26, 1981", + "End_Date": "September 1, 1981", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact" + } + ], + "Time_Information": { + "Start_Date": "August 26, 1981", + "End_Date": "August 29, 1981", + "Time_Annotation": "Info_Box" + }, + "Location_Information": { + "Administrative_Areas": [ + "Mexico", + "Southern United States", + "Tamaulipas", + "Texas", + "Louisiana", + "Pine Springs", + "Lavaca County", + "Hallettsville", + "Shiner", + "Galveston", + "Aransas Pass", + "Redfish Bay", + "Live Oak County", + "Three Rivers", + "Bee County", + "Flatonia", + "Fayette County", + "LaGrange", + "Starr County", + "Brooks County", + "Falfurrias", + "Goliad County", + "Karnes County", + "Karnes City", + "Kenedy", + "Bastrop County", + "Caldwell County", + "Hochheim", + "DeWitt County", + "Cuero", + "Thomaston", + "Gonzales County", + "Cheapside", + "Gonzales", + "Waelder", + "Leesville", + "Lavaca River", + "Dreyer", + "Rock Creek", + "Boggy Creek", + "Spoetzl Brewery", + "Moulton", + "Fort Bend County", + "Richmond", + "Rosenberg", + "Sugar Land", + "Katy", + "Brazoria County", + "West Columbia", + "Alvin", + "Angleton", + "Harris County", + "Aldine", + "Houston", + "Galveston County", + "Hitchcock", + "La Marque", + "Texas City", + "Port of Galveston", + "Arkansas", + "Alabama", + "Mississippi", + "Tennessee" + ], + "Administrative_Areas_Annotation": "Info_Box" + }, + "Json_Error": null, + "time_information": null, + "location_information": null + }, + { + "Event_ID": "8Lbci8N", + "Sources": "https://en.wikipedia.org/wiki/2020_East_Africa_floods", + "Event_Names": "2020 East Africa floods ", + "Total_Summary_Affected": { + "Total_Affected": "at least 700,000", + "Total_Affected_Annotation": "Info_Box" + }, + "Instance_Per_Administrative_Areas_Affected": [ + { + "Administrative_Areas": [ + "Kenya" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "over 100,000", + "Annotation": "Kenya" + }, + { + "Administrative_Areas": [ + "Somalia" + ], + "Start_Date": "20 April", + "End_Date": "NULL", + "Num": "546,103", + "Annotation": "Somalia" + }, + { + "Administrative_Areas": [ + "Burundi" + ], + "Start_Date": "2 March", + "End_Date": "8 March", + "Num": "280", + "Annotation": "Burundi" + }, + { + "Administrative_Areas": [ + "Djibouti" + ], + "Start_Date": "21 April", + "End_Date": "NULL", + "Num": "approximately 110,000", + "Annotation": "Djibouti" + }, + { + "Administrative_Areas": [ + "Democratic Republic of the Congo" + ], + "Start_Date": "16 April", + "End_Date": "17 April", + "Num": "64,000", + "Annotation": "Democratic Republic of the Congo" + }, + { + "Administrative_Areas": [ + "Uganda" + ], + "Start_Date": "1 May", + "End_Date": "NULL", + "Num": "around 5,000", + "Annotation": "Uganda" + }, + { + "Administrative_Areas": [ + "Tanzania" + ], + "Start_Date": "April", + "End_Date": "NULL", + "Num": "thousands", + "Annotation": "Tanzania" + } + ], + "Specific_Instance_Per_Administrative_Area_Affected": [ + { + "Administrative_Area": "Rwanda", + "Locations": [ + "Kigali Province", + "Southern Province", + "Northern Province", + "Eastern Province" + ], + "Start_Date": "2 March", + "End_Date": "3 May", + "Num": "NULL", + "Annotation": "Rwanda" + }, + { + "Administrative_Area": "Kenya", + "Locations": [ + "Busia County", + "Siaya County", + "Budalangi Constituency", + "West Pokot County", + "Elgeyo Marakwet County" + ], + "Start_Date": "April", + "End_Date": "May", + "Num": "800,000", + "Annotation": "Kenya" + }, + { + "Administrative_Area": "Somalia", + "Locations": [ + "Gardo", + "Bari region" + ], + "Start_Date": "20 April", + "End_Date": "11 May", + "Num": "216,895", + "Annotation": "Somalia" + }, + { + "Administrative_Area": "Burundi", + "Locations": [ + "NULL" + ], + "Start_Date": "2 March", + "End_Date": "8 March", + "Num": "280", + "Annotation": "Burundi" + }, + { + "Administrative_Area": "Djibouti", + "Locations": [ + "Djibouti city", + "Balbala" + ], + "Start_Date": "21 April", + "End_Date": "NULL", + "Num": "approximately 110,000", + "Annotation": "Djibouti" + }, + { + "Administrative_Area": "Ethiopia", + "Locations": [ + "Ale Special Woreda", + "Gamo Zone", + "Jinka town", + "Dire Dawa" + ], + "Start_Date": "April", + "End_Date": "29 May", + "Num": "NULL", + "Annotation": "Ethiopia" + }, + { + "Administrative_Area": "Uganda", + "Locations": [ + "Western Region", + "Northern Region", + "Rubanda District", + "Kabale District", + "Nakapiripirit District", + "Mayuge District" + ], + "Start_Date": "1 May", + "End_Date": "21 May", + "Num": "NULL", + "Annotation": "Uganda" + }, + { + "Administrative_Area": "Democratic Republic of the Congo", + "Locations": [ + "South Kivu Province", + "Uvira" + ], + "Start_Date": "16 April", + "End_Date": "17 April", + "Num": "64,000", + "Annotation": "Democratic Republic of the Congo" + }, + { + "Administrative_Area": "Tanzania", + "Locations": [ + "Arusha Region", + "Kilimanjaro Region", + "Arumeru District", + "Moshi District", + "Hai District" + ], + "Start_Date": "April", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Tanzania" + } + ], + "Total_Summary_Buildings_Damaged": { + "Total_Buildings_Damaged": "NULL", + "Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Buildings_Damaged": [ + { + "Administrative_Areas": "Rwanda", + "Start_Date": "2 March 2020", + "End_Date": "3 May 2020", + "Num": "NULL", + "Annotation": "Rwanda" + }, + { + "Administrative_Areas": "Kenya", + "Start_Date": "April 2020", + "End_Date": "May 2020", + "Num": "NULL", + "Annotation": "Kenya" + }, + { + "Administrative_Areas": "Somalia", + "Start_Date": "20 April 2020", + "End_Date": "11 May 2020", + "Num": "NULL", + "Annotation": "Somalia" + }, + { + "Administrative_Areas": "Burundi", + "Start_Date": "2 March 2020", + "End_Date": "8 March 2020", + "Num": "NULL", + "Annotation": "Burundi" + }, + { + "Administrative_Areas": "Djibouti", + "Start_Date": "21 April 2020", + "End_Date": "21 April 2020", + "Num": "NULL", + "Annotation": "Djibouti" + }, + { + "Administrative_Areas": "Ethiopia", + "Start_Date": "April 2020", + "End_Date": "29 May 2020", + "Num": "NULL", + "Annotation": "Ethiopia" + }, + { + "Administrative_Areas": "Uganda", + "Start_Date": "1 May 2020", + "End_Date": "21 May 2020", + "Num": "NULL", + "Annotation": "Uganda" + }, + { + "Administrative_Areas": "Democratic Republic of the Congo", + "Start_Date": "16 April 2020", + "End_Date": "17 April 2020", + "Num": "NULL", + "Annotation": "Democratic Republic of the Congo" + }, + { + "Administrative_Areas": "Tanzania", + "Start_Date": "April 2020", + "End_Date": "April 2020", + "Num": "NULL", + "Annotation": "Tanzania" + } + ], + "Specific_Instance_Per_Administrative_Area_Buildings_Damaged": [ + { + "Administrative_Area": "Rwanda", + "Locations": [ + "Kigali", + "Southern Province", + "Ruhango District", + "Gasabo District", + "Rulindo District", + "Nyanza District", + "Nyamagabe District", + "Gicumbi District", + "Nyankenke", + "Kageyo Sectors", + "Eastern Province", + "Gatsibo District" + ], + "Start_Date": "2 March 2020", + "End_Date": "3 May 2020", + "Num": "42 houses, 91 houses, 5 bridges", + "Annotation": "Rwanda" + }, + { + "Administrative_Area": "Kenya", + "Locations": [ + "Busia", + "Siaya", + "Budalangi Constituency", + "West Pokot", + "Elgeyo Marakwet" + ], + "Start_Date": "April 2020", + "End_Date": "May 2020", + "Num": "homes destroyed", + "Annotation": "Kenya" + }, + { + "Administrative_Area": "Somalia", + "Locations": [ + "Gardo", + "Bari region" + ], + "Start_Date": "20 April 2020", + "End_Date": "11 May 2020", + "Num": "hundreds of homes", + "Annotation": "Somalia" + }, + { + "Administrative_Area": "Burundi", + "Locations": [ + "NULL" + ], + "Start_Date": "2 March 2020", + "End_Date": "8 March 2020", + "Num": "NULL", + "Annotation": "Burundi" + }, + { + "Administrative_Area": "Djibouti", + "Locations": [ + "Djibouti city", + "Balbala" + ], + "Start_Date": "21 April 2020", + "End_Date": "21 April 2020", + "Num": "NULL", + "Annotation": "Djibouti" + }, + { + "Administrative_Area": "Ethiopia", + "Locations": [ + "Ale Special Woreda", + "SNNP", + "Gamo zone", + "Jinka town", + "Dire Dawa" + ], + "Start_Date": "April 2020", + "End_Date": "29 May 2020", + "Num": "6 houses", + "Annotation": "Ethiopia" + }, + { + "Administrative_Area": "Uganda", + "Locations": [ + "Western Region", + "Northern Region", + "Rubanda District", + "Kabale District", + "Nakapiripirit District", + "Lake Victoria", + "Mayuge District" + ], + "Start_Date": "1 May 2020", + "End_Date": "21 May 2020", + "Num": "31 houses", + "Annotation": "Uganda" + }, + { + "Administrative_Area": "Democratic Republic of the Congo", + "Locations": [ + "South Kivu Province", + "Uvira" + ], + "Start_Date": "16 April 2020", + "End_Date": "17 April 2020", + "Num": "NULL", + "Annotation": "Democratic Republic of the Congo" + }, + { + "Administrative_Area": "Tanzania", + "Locations": [ + "Arusha", + "Kilimanjaro", + "Arumeru District", + "Moshi District", + "Hai District" + ], + "Start_Date": "April 2020", + "End_Date": "April 2020", + "Num": "50 homes, dozens of homes", + "Annotation": "Tanzania" + } + ], + "Total_Summary_Deaths": { + "Total_Deaths": "more than 430", + "Annotation": "2020 East Africa floods" + }, + "Instance_Per_Administrative_Areas_Deaths": [ + { + "Administrative_Areas": "Kenya", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "237", + "Annotation": "Kenya" + }, + { + "Administrative_Areas": "Rwanda", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "97", + "Annotation": "Info_Box" + }, + { + "Administrative_Areas": "Democratic Republic of the Congo", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "44", + "Annotation": "Info_Box" + }, + { + "Administrative_Areas": "Ethiopia", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "34", + "Annotation": "Info_Box" + }, + { + "Administrative_Areas": "Somalia", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "21", + "Annotation": "Info_Box" + }, + { + "Administrative_Areas": "Uganda", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "11", + "Annotation": "Info_Box" + }, + { + "Administrative_Areas": "Djibouti", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "8", + "Annotation": "Info_Box" + }, + { + "Administrative_Areas": "Burundi", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "Info_Box" + } + ], + "Specific_Instance_Per_Administrative_Area_Deaths": [ + { + "Administrative_Area": "Rwanda", + "Locations": [ + "Ruhango district, Southern Province", + "Gasabo District, Kigali Province", + "Rulindo district, Northern Province", + "Nyanza District, Southern Province" + ], + "Start_Date": "2 March", + "End_Date": "4 March", + "Num": "5", + "Annotation": "Rwanda" + }, + { + "Administrative_Area": "Rwanda", + "Locations": [ + "Nyamagabe district, Southern Province" + ], + "Start_Date": "7 March", + "End_Date": "7 March", + "Num": "5", + "Annotation": "Rwanda" + }, + { + "Administrative_Area": "Rwanda", + "Locations": [ + "Gicumbi district, Northern Province" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "6", + "Annotation": "Rwanda" + }, + { + "Administrative_Area": "Rwanda", + "Locations": [ + "Gatsibo district, Eastern Province" + ], + "Start_Date": "19 April", + "End_Date": "20 April", + "Num": "3", + "Annotation": "Rwanda" + }, + { + "Administrative_Area": "Rwanda", + "Locations": [ + "NULL" + ], + "Start_Date": "1 May", + "End_Date": "3 May", + "Num": "8", + "Annotation": "Rwanda" + }, + { + "Administrative_Area": "Kenya", + "Locations": [ + "West Pokot and Elgeyo Marakwet Counties" + ], + "Start_Date": "April 2020", + "End_Date": "April 2020", + "Num": "19", + "Annotation": "Kenya" + }, + { + "Administrative_Area": "Somalia", + "Locations": [ + "Gardo, Bari region, Puntland state" + ], + "Start_Date": "27 April", + "End_Date": "27 April", + "Num": "16", + "Annotation": "Somalia" + }, + { + "Administrative_Area": "Somalia", + "Locations": [ + "NULL" + ], + "Start_Date": "11 May", + "End_Date": "11 May", + "Num": "5", + "Annotation": "Somalia" + }, + { + "Administrative_Area": "Burundi", + "Locations": [ + "NULL" + ], + "Start_Date": "2 March", + "End_Date": "8 March", + "Num": "1", + "Annotation": "Burundi" + }, + { + "Administrative_Area": "Djibouti", + "Locations": [ + "Djibouti city and Balbala" + ], + "Start_Date": "21 April", + "End_Date": "21 April", + "Num": "8", + "Annotation": "Djibouti" + }, + { + "Administrative_Area": "Ethiopia", + "Locations": [ + "Ale Special Woreda, Southern Nations Nationalities and Peoples Region (SNNP)" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "12", + "Annotation": "Ethiopia" + }, + { + "Administrative_Area": "Ethiopia", + "Locations": [ + "Gamo zone" + ], + "Start_Date": "11 April", + "End_Date": "18 April", + "Num": "8", + "Annotation": "Ethiopia" + }, + { + "Administrative_Area": "Ethiopia", + "Locations": [ + "Jinka town" + ], + "Start_Date": "25 April", + "End_Date": "25 April", + "Num": "NULL", + "Annotation": "Ethiopia" + }, + { + "Administrative_Area": "Ethiopia", + "Locations": [ + "Dire Dawa" + ], + "Start_Date": "24 April", + "End_Date": "24 April", + "Num": "4", + "Annotation": "Ethiopia" + }, + { + "Administrative_Area": "Ethiopia", + "Locations": [ + "Gamo Zone" + ], + "Start_Date": "29 May", + "End_Date": "29 May", + "Num": "10", + "Annotation": "Ethiopia" + }, + { + "Administrative_Area": "Uganda", + "Locations": [ + "Western and Northern Regions" + ], + "Start_Date": "1 May", + "End_Date": "NULL", + "Num": "4", + "Annotation": "Uganda" + }, + { + "Administrative_Area": "Uganda", + "Locations": [ + "Rubanda District" + ], + "Start_Date": "2 May", + "End_Date": "2 May", + "Num": "2", + "Annotation": "Uganda" + }, + { + "Administrative_Area": "Uganda", + "Locations": [ + "Kabale District" + ], + "Start_Date": "1 May", + "End_Date": "1 May", + "Num": "1", + "Annotation": "Uganda" + }, + { + "Administrative_Area": "Uganda", + "Locations": [ + "Nakapiripirit district" + ], + "Start_Date": "2 May", + "End_Date": "2 May", + "Num": "NULL", + "Annotation": "Uganda" + }, + { + "Administrative_Area": "Uganda", + "Locations": [ + "Mayuge District" + ], + "Start_Date": "May", + "End_Date": "May", + "Num": "NULL", + "Annotation": "Uganda" + }, + { + "Administrative_Area": "Uganda", + "Locations": [ + "NULL" + ], + "Start_Date": "21 May", + "End_Date": "21 May", + "Num": "8", + "Annotation": "Uganda" + }, + { + "Administrative_Area": "Democratic Republic of the Congo", + "Locations": [ + "South Kivu Province" + ], + "Start_Date": "16 April", + "End_Date": "17 April", + "Num": "44", + "Annotation": "Democratic Republic of the Congo" + }, + { + "Administrative_Area": "Tanzania", + "Locations": [ + "Arumeru District, Arusha Region" + ], + "Start_Date": "April", + "End_Date": "April", + "Num": "2", + "Annotation": "Tanzania" + } + ], + "Total_Summary_Displaced": { + "Total_Displaced": "NULL", + "Total_Displaced_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Displaced": [ + { + "Administrative_Areas": "Kenya", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "over 100,000", + "Annotation": "Kenya" + }, + { + "Administrative_Areas": "Somalia", + "Start_Date": "20 April", + "End_Date": "NULL", + "Num": "216,895", + "Annotation": "Somalia" + }, + { + "Administrative_Areas": "Burundi", + "Start_Date": "2 March", + "End_Date": "8 March", + "Num": "280", + "Annotation": "Burundi" + }, + { + "Administrative_Areas": "Djibouti", + "Start_Date": "21 April", + "End_Date": "NULL", + "Num": "18,000 households (approximately 110,000 persons)", + "Annotation": "Djibouti" + }, + { + "Administrative_Areas": "Uganda", + "Start_Date": "1 May", + "End_Date": "NULL", + "Num": "around 5,000", + "Annotation": "Uganda" + }, + { + "Administrative_Areas": "Uganda", + "Start_Date": "May", + "End_Date": "NULL", + "Num": "more than 3,800", + "Annotation": "Uganda" + } + ], + "Specific_Instance_Per_Administrative_Area_Displaced": [ + { + "Administrative_Area": "Kenya", + "Locations": [ + "Busia", + "Siaya", + "Budalangi Constituency" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Kenya" + }, + { + "Administrative_Area": "Somalia", + "Locations": [ + "Gardo", + "Bari region" + ], + "Start_Date": "20 April", + "End_Date": "NULL", + "Num": "216,895", + "Annotation": "Somalia" + }, + { + "Administrative_Area": "Burundi", + "Locations": [ + "NULL" + ], + "Start_Date": "2 March", + "End_Date": "8 March", + "Num": "280", + "Annotation": "Burundi" + }, + { + "Administrative_Area": "Djibouti", + "Locations": [ + "Djibouti city", + "Balbala" + ], + "Start_Date": "21 April", + "End_Date": "NULL", + "Num": "18,000 households (approximately 110,000 persons)", + "Annotation": "Djibouti" + }, + { + "Administrative_Area": "Uganda", + "Locations": [ + "Western Region", + "Northern Region", + "Rubanda District", + "Kabale District", + "Nakapiripirit District", + "Mayuge District" + ], + "Start_Date": "1 May", + "End_Date": "NULL", + "Num": "around 5,000", + "Annotation": "Uganda" + }, + { + "Administrative_Area": "Uganda", + "Locations": [ + "Lake Victoria", + "Mayuge District" + ], + "Start_Date": "May", + "End_Date": "NULL", + "Num": "more than 3,800", + "Annotation": "Uganda" + } + ], + "Total_Summary_Homeless": { + "Total_Homeless": "NULL", + "Total_Homeless_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Homeless": [ + { + "Administrative_Areas": "Kenya", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "over 100,000", + "Annotation": "Kenya" + }, + { + "Administrative_Areas": "Somalia", + "Start_Date": "20 April", + "End_Date": "NULL", + "Num": "216,895", + "Annotation": "Somalia" + }, + { + "Administrative_Areas": "Burundi", + "Start_Date": "2 March", + "End_Date": "8 March", + "Num": "280", + "Annotation": "Burundi" + }, + { + "Administrative_Areas": "Djibouti", + "Start_Date": "21 April", + "End_Date": "NULL", + "Num": "18,000 households (approximately 110,000 persons)", + "Annotation": "Djibouti" + }, + { + "Administrative_Areas": "Uganda", + "Start_Date": "1 May", + "End_Date": "NULL", + "Num": "around 5,000", + "Annotation": "Uganda" + }, + { + "Administrative_Areas": "Democratic Republic of the Congo", + "Start_Date": "16 April", + "End_Date": "17 April", + "Num": "64,000", + "Annotation": "Democratic Republic of the Congo" + }, + { + "Administrative_Areas": "Tanzania", + "Start_Date": "April", + "End_Date": "NULL", + "Num": "more than 2,700 households", + "Annotation": "Tanzania" + } + ], + "Specific_Instance_Per_Administrative_Area_Homeless": [ + { + "Administrative_Area": "Kenya", + "Locations": [ + "Busia", + "Siaya", + "Budalangi Constituency", + "West Pokot", + "Elgeyo Marakwet" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Kenya" + }, + { + "Administrative_Area": "Somalia", + "Locations": [ + "Gardo", + "Bari region" + ], + "Start_Date": "20 April", + "End_Date": "NULL", + "Num": "216,895", + "Annotation": "Somalia" + }, + { + "Administrative_Area": "Burundi", + "Locations": [ + "NULL" + ], + "Start_Date": "2 March", + "End_Date": "8 March", + "Num": "280", + "Annotation": "Burundi" + }, + { + "Administrative_Area": "Djibouti", + "Locations": [ + "Djibouti city", + "Balbala" + ], + "Start_Date": "21 April", + "End_Date": "NULL", + "Num": "18,000 households (approximately 110,000 persons)", + "Annotation": "Djibouti" + }, + { + "Administrative_Area": "Uganda", + "Locations": [ + "Western Region", + "Northern Region", + "Rubanda District", + "Kabale District", + "Nakapiripirit District", + "Mayuge District" + ], + "Start_Date": "1 May", + "End_Date": "NULL", + "Num": "around 5,000", + "Annotation": "Uganda" + }, + { + "Administrative_Area": "Democratic Republic of the Congo", + "Locations": [ + "South Kivu Province", + "Uvira" + ], + "Start_Date": "16 April", + "End_Date": "17 April", + "Num": "64,000", + "Annotation": "Democratic Republic of the Congo" + }, + { + "Administrative_Area": "Tanzania", + "Locations": [ + "Arusha", + "Kilimanjaro", + "Arumeru District", + "Moshi District", + "Hai District" + ], + "Start_Date": "April", + "End_Date": "NULL", + "Num": "more than 2,700 households", + "Annotation": "Tanzania" + } + ], + "Total_Summary_Injuries": { + "Total_Injuries": "NULL", + "Total_Injuries_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Injuries": [ + { + "Administrative_Areas": "Rwanda", + "Start_Date": "2 March", + "End_Date": "4 March", + "Num": "13", + "Annotation": "Rwanda" + }, + { + "Administrative_Areas": "Democratic Republic of the Congo", + "Start_Date": "16 April", + "End_Date": "17 April", + "Num": "200", + "Annotation": "Democratic Republic of the Congo" + } + ], + "Specific_Instance_Per_Administrative_Area_Injuries": [ + { + "Administrative_Area": "Rwanda", + "Locations": [ + "Ruhango district, Southern Province", + "Gasabo District, Kigali Province", + "Rulindo district, Northern Province", + "Nyanza District, Southern Province" + ], + "Start_Date": "2 March", + "End_Date": "4 March", + "Num": "13", + "Annotation": "Rwanda" + }, + { + "Administrative_Area": "Democratic Republic of the Congo", + "Locations": [ + "South Kivu Province" + ], + "Start_Date": "16 April", + "End_Date": "17 April", + "Num": "200", + "Annotation": "Democratic Republic of the Congo" + } + ], + "Total_Summary_Damage": { + "Total_Damage": "NULL", + "Total_Damage_Unit": "NULL", + "Total_Damage_Inflation_Adjusted": "NULL", + "Total_Damage_Inflation_Adjusted_Year": "NULL", + "Total_Damage_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Damage": [ + { + "Administrative_Areas": "Rwanda", + "Start_Date": "2 March 2020", + "End_Date": "3 May 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Rwanda" + }, + { + "Administrative_Areas": "Kenya", + "Start_Date": "April 2020", + "End_Date": "May 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Kenya" + }, + { + "Administrative_Areas": "Somalia", + "Start_Date": "20 April 2020", + "End_Date": "11 May 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Somalia" + }, + { + "Administrative_Areas": "Burundi", + "Start_Date": "2 March 2020", + "End_Date": "8 March 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Burundi" + }, + { + "Administrative_Areas": "Djibouti", + "Start_Date": "21 April 2020", + "End_Date": "21 April 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Djibouti" + }, + { + "Administrative_Areas": "Ethiopia", + "Start_Date": "April 2020", + "End_Date": "29 May 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Ethiopia" + }, + { + "Administrative_Areas": "Uganda", + "Start_Date": "1 May 2020", + "End_Date": "21 May 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Uganda" + }, + { + "Administrative_Areas": "Democratic Republic of the Congo", + "Start_Date": "16 April 2020", + "End_Date": "17 April 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Democratic Republic of the Congo" + }, + { + "Administrative_Areas": "Tanzania", + "Start_Date": "April 2020", + "End_Date": "April 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Tanzania" + } + ], + "Specific_Instance_Per_Administrative_Area_Damage": [ + { + "Administrative_Area": "Rwanda", + "Locations": [ + "Kigali", + "Southern Province", + "Ruhango District", + "Gasabo District", + "Rulindo District", + "Nyanza District", + "Nyamagabe District", + "Gicumbi District", + "Nyankenke", + "Kageyo Sectors", + "Eastern Province", + "Gatsibo District", + "Byimana Weather Station" + ], + "Start_Date": "2 March 2020", + "End_Date": "7 May 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Rwanda" + }, + { + "Administrative_Area": "Kenya", + "Locations": [ + "Busia", + "Siaya", + "Budalangi Constituency", + "West Pokot", + "Elgeyo Marakwet" + ], + "Start_Date": "April 2020", + "End_Date": "May 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Kenya" + }, + { + "Administrative_Area": "Somalia", + "Locations": [ + "Gardo", + "Bari Region", + "Puntland" + ], + "Start_Date": "20 April 2020", + "End_Date": "11 May 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Somalia" + }, + { + "Administrative_Area": "Burundi", + "Locations": [ + "NULL" + ], + "Start_Date": "2 March 2020", + "End_Date": "8 March 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Burundi" + }, + { + "Administrative_Area": "Djibouti", + "Locations": [ + "Djibouti City", + "Balbala" + ], + "Start_Date": "21 April 2020", + "End_Date": "21 April 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Djibouti" + }, + { + "Administrative_Area": "Ethiopia", + "Locations": [ + "Ale Special Woreda", + "Southern Nations Nationalities and Peoples Region (SNNP)", + "Gamo Zone", + "Jinka Town", + "Dire Dawa" + ], + "Start_Date": "April 2020", + "End_Date": "29 May 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Ethiopia" + }, + { + "Administrative_Area": "Uganda", + "Locations": [ + "Western Region", + "Northern Region", + "Rubanda District", + "Kabale District", + "Nakapiripirit District", + "Lake Victoria", + "Mayuge District" + ], + "Start_Date": "1 May 2020", + "End_Date": "21 May 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Uganda" + }, + { + "Administrative_Area": "Democratic Republic of the Congo", + "Locations": [ + "South Kivu Province", + "Uvira" + ], + "Start_Date": "16 April 2020", + "End_Date": "17 April 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Democratic Republic of the Congo" + }, + { + "Administrative_Area": "Tanzania", + "Locations": [ + "Arusha", + "Kilimanjaro", + "Arumeru District", + "Moshi District", + "Hai District" + ], + "Start_Date": "April 2020", + "End_Date": "April 2020", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Tanzania" + } + ], + "Main_Event": "Flood", + "Main_Event_Annotation": "Info_Box", + "Hazards": "Flood|Landslide|Lightning", + "Hazards_Annotation": "Info_Box|Rwanda|Kenya|Somalia|Djibouti|Ethiopia|Uganda|Democratic Republic of the Congo|Tanzania", + "Start_Date": "March 2020", + "End_Date": "May 2020", + "Time_Annotation": "Info_Box", + "Administrative_Areas": [ + "Rwanda", + "Kenya", + "Somalia", + "Burundi", + "Ethiopia", + "Uganda", + "Democratic Republic of the Congo", + "Djibouti", + "Tanzania", + "Kigali", + "Southern Province", + "Ruhango district", + "Gasabo District", + "Rulindo district", + "Nyanza District", + "Nyamagabe district", + "Gicumbi district", + "Nyankenke", + "Kageyo Sectors", + "Eastern province", + "Gatsibo district", + "Byimana weather station", + "Busia", + "Siaya counties", + "Budalangi Constituency", + "West Pokot", + "Elgeyo Marakwet Counties", + "Gardo", + "Bari region", + "Puntland state", + "Djibouti city", + "Balbala", + "Ale Special Woreda", + "Southern Nations Nationalities and Peoples Region", + "Gamo zone", + "Jinka town", + "Dire Dawa", + "Rubanda District", + "Kabale District", + "Nakapiripirit district", + "Lake Victoria", + "Mayuge District", + "South Kivu Province", + "Uvira", + "Arusha", + "Kilimanjaro", + "Arumeru District", + "Arusha Region", + "Moshi district", + "Hai District" + ], + "Administrative_Areas_Annotation": "Info_Box", + "Per_Country_Affected": null, + 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"Administrative_Areas": "Uganda", + "Start_Date": "1 May 2020", + "End_Date": "21 May 2020", + "Num": "NULL", + "Annotation": "Uganda" + }, + { + "Administrative_Areas": "Democratic Republic of the Congo", + "Start_Date": "16 April 2020", + "End_Date": "17 April 2020", + "Num": "NULL", + "Annotation": "Democratic Republic of the Congo" + }, + { + "Administrative_Areas": "Tanzania", + "Start_Date": "April 2020", + "End_Date": "April 2020", + "Num": "NULL", + "Annotation": "Tanzania" + } + ], + "Specific_Instance_Per_Country_Buildings_Damaged": [ + { + "Administrative_Area": "Rwanda", + "Locations": [ + "Kigali Province", + "Southern Province", + "Northern Province", + "Eastern Province" + ], + "Start_Date": "2 March 2020", + "End_Date": "3 May 2020", + "Num": "42 houses, 91 houses, 5 bridges", + "Annotation": "Rwanda" + }, + { + "Administrative_Area": "Kenya", + "Locations": [ + "Busia County", + "Siaya County", + "West Pokot County", + "Elgeyo Marakwet County" + ], + "Start_Date": 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"Locations": [ + "Eastern Samar" + ], + "Start_Date": "December 24, 2019", + "End_Date": "December 25, 2019", + "Num": "1,654", + "Annotation": "Eastern Samar" + }, + { + "Administrative_Area": "Philippines", + "Locations": [ + "Eastern Samar" + ], + "Start_Date": "December 24, 2019", + "End_Date": "December 25, 2019", + "Num": "58,000", + "Annotation": "Eastern Samar" + }, + { + "Administrative_Area": "Philippines", + "Locations": [ + "Luzon" + ], + "Start_Date": "December 24, 2019", + "End_Date": "December 25, 2019", + "Num": "58,000", + "Annotation": "Luzon" + } + ], + "Per_Country_Buildings_Damaged": [ + { + "Administrative_Areas": [ + "Philippines" + ], + "Start_Date": "December 24, 2019", + "End_Date": "December 25, 2019", + "Num": "NULL", + "Annotation": "NULL" + } + ], + "Specific_Instance_Per_Country_Buildings_Damaged": [ + { + "Administrative_Area": "Philippines", + "Locations": [ + "Boracay Airport" + ], + "Start_Date": "December 24, 2019", + "End_Date": "December 25, 2019", + "Num": "NULL", + "Annotation": "Visayas" + }, + { + "Administrative_Area": "Philippines", + "Locations": [ + "Batad, Iloilo Province" + ], + "Start_Date": "December 24, 2019", + "End_Date": "December 25, 2019", + "Num": "NULL", + "Annotation": "Visayas" + }, + { + "Administrative_Area": "Philippines", + "Locations": [ + "Leyte" + ], + "Start_Date": "December 24, 2019", + "End_Date": "December 25, 2019", + "Num": "NULL", + "Annotation": "Visayas" + }, + { + "Administrative_Area": "Philippines", + "Locations": [ + "Salcedo, Eastern Samar" + ], + "Start_Date": "December 24, 2019", + "End_Date": "December 25, 2019", + "Num": "NULL", + "Annotation": "Eastern Samar" + }, + { + "Administrative_Area": "Philippines", + "Locations": [ + "Naval" + ], + "Start_Date": "December 23, 2019", + "End_Date": "December 25, 2019", + "Num": "NULL", + "Annotation": "Luzon" + }, + { + "Administrative_Area": "Philippines", + "Locations": [ + "San Jose" + ], + "Start_Date": "December 24, 2019", + "End_Date": "December 25, 2019", + "Num": "NULL", + "Annotation": "Luzon" + } + ], + "Per_Country_Deaths": [ + { + "Administrative_Areas": [ + "Philippines" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "50", + "Annotation": "Visayas" + } + ], + "Specific_Instance_Per_Country_Deaths": [ + { + "Administrative_Area": "Philippines", + "Locations": [ + "Iloilo City" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "13", + "Annotation": "Visayas" + }, + { + "Administrative_Area": "Philippines", + "Locations": [ + "Eastern Samar" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "Eastern Samar" + }, + { + "Administrative_Area": "Philippines", + "Locations": [ + "Eastern Samar" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "28", + "Annotation": "Eastern Samar" + } + ], + "Per_Country_Displaced": [ + { + "Administrative_Areas": [ + "Philippines" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "NULL" + } + ], + "Specific_Instance_Per_Country_Displaced": [ + { + "Administrative_Area": "Philippines", + "Locations": [ + "Eastern Samar" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "58,000 people", + "Annotation": "Eastern Samar" + }, + { + "Administrative_Area": "Philippines", + "Locations": [ + "Luzon" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Upwards of 58,000 people", + "Annotation": "Luzon" + } + ], + "Per_Country_Homeless": [ + { + "Administrative_Areas": [ + "Philippines" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "NULL" + } + ], + "Specific_Instance_Per_Country_Homeless": [ + { + "Administrative_Area": "Philippines", + "Locations": [ + "Batad, Iloilo Province" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Visayas" + }, + { + "Administrative_Area": "Philippines", + "Locations": [ + "Eastern Samar" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "58,000 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}, + { + "Administrative_Areas": "Romania", + "Start_Date": "13 May 2014", + "End_Date": "27 May 2014", + "Num": "NULL", + "Annotation": "Romania" + } + ], + "Specific_Instance_Per_Administrative_Area_Buildings_Damaged": [ + { + "Administrative_Area": "Serbia", + "Locations": [ + "Obrenovac", + "Krupanj", + "Rebelj", + "Mali Zvornik", + "\u0160abac", + "Sremska Mitrovica", + "Para\u0107in", + "Petrovac na Mlavi", + "Svilajnac", + "Smederevska Palanka" + ], + "Start_Date": "13 May 2014", + "End_Date": "27 May 2014", + "Num": "500 houses were seriously damaged and at least 20 houses are completely uninhabitable", + "Annotation": "Serbia" + }, + { + "Administrative_Area": "Bosnia and Herzegovina", + "Locations": [ + "Doboj", + "Maglaj", + "Zavidovi\u0107i", + "\u0160amac", + "Pari\u0107i in Hrasno Donje" + ], + "Start_Date": "13 May 2014", + "End_Date": "27 May 2014", + "Num": "NULL", + "Annotation": "Bosnia and Herzegovina" + }, + { + "Administrative_Area": "Croatia", + "Locations": [ + 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"Annotation": "Info_Box" + }, + { + "Administrative_Areas": "Romania", + "Start_Date": "13 May 2014", + "End_Date": "27 May 2014", + "Num": "2", + "Annotation": "Info_Box" + }, + { + "Administrative_Areas": "Slovakia", + "Start_Date": "13 May 2014", + "End_Date": "27 May 2014", + "Num": "1", + "Annotation": "Info_Box" + } + ], + "Specific_Instance_Per_Administrative_Area_Deaths": [ + { + "Administrative_Area": "Serbia", + "Locations": [ + "Obrenovac" + ], + "Start_Date": "15 May 2014", + "End_Date": "16 May 2014", + "Num": "NULL", + "Annotation": "Serbia" + }, + { + "Administrative_Area": "Bosnia and Herzegovina", + "Locations": [ + "Doboj", + "\u0160amac", + "Modri\u010da", + "Bijeljina", + "Vlasenica", + "Donji \u017dabar" + ], + "Start_Date": "19 May 2014", + "End_Date": "19 May 2014", + "Num": "17", + "Annotation": "Bosnia and Herzegovina" + }, + { + "Administrative_Area": "Bosnia and Herzegovina", + "Locations": [ + "Republika Srpska" + ], + "Start_Date": "20 May 2014", + "End_Date": "20 May 2014", + "Num": "17", + "Annotation": "Bosnia and Herzegovina" + }, + { + "Administrative_Area": "Bosnia and Herzegovina", + "Locations": [ + "Federation" + ], + "Start_Date": "20 May 2014", + "End_Date": "20 May 2014", + "Num": "7", + "Annotation": "Bosnia and Herzegovina" + }, + { + "Administrative_Area": "Romania", + "Locations": [ + "Vrancea County" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "Romania" + }, + { + "Administrative_Area": "Slovakia", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "Slovakia" + } + ], + "Total_Summary_Displaced": { + "Total_Displaced": "hundreds of thousands", + "Total_Displaced_Annotation": "2014 Southeast Europe floods" + }, + "Instance_Per_Administrative_Areas_Displaced": [ + { + "Administrative_Areas": "Serbia", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "30,000", + "Annotation": "Serbia" + }, + { + "Administrative_Areas": 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"Instance_Per_Administrative_Areas_Homeless": [ + { + "Administrative_Areas": "Serbia", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Serbia" + }, + { + "Administrative_Areas": "Bosnia and Herzegovina", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Bosnia and Herzegovina" + }, + { + "Administrative_Areas": "Croatia", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Croatia" + }, + { + "Administrative_Areas": "Romania", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Romania" + } + ], + "Specific_Instance_Per_Administrative_Area_Homeless": [ + { + "Administrative_Area": "Serbia", + "Locations": [ + "Obrenovac" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "30,000", + "Annotation": "Serbia" + }, + { + "Administrative_Area": "Serbia", + "Locations": [ + "Krupanj" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "500 houses seriously damaged", + "Annotation": "Serbia" + }, + { + "Administrative_Area": "Serbia", + "Locations": [ + "Rebelj" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Serbia" + }, + { + "Administrative_Area": "Bosnia and Herzegovina", + "Locations": [ + "Pari\u0107i" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Bosnia and Herzegovina" + }, + { + "Administrative_Area": "Croatia", + "Locations": [ + "Gunja", + "Rajevo Selo", + "Ra\u010dinovci" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "15,000", + "Annotation": "Croatia" + } + ], + "Total_Summary_Injuries": { + "Total_Injuries": "NULL", + "Total_Injuries_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Injuries": [ + { + "Administrative_Areas": "Serbia", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Serbia" + }, + { + "Administrative_Areas": "Bosnia and Herzegovina", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Bosnia and Herzegovina" + }, + { + "Administrative_Areas": "Croatia", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Croatia" + }, + { + "Administrative_Areas": "Romania", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Romania" + }, + { + "Administrative_Areas": "Slovakia", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Slovakia" + } + ], + "Specific_Instance_Per_Administrative_Area_Injuries": [ + { + "Administrative_Area": "Serbia", + "Locations": [ + "Obrenovac", + "Krupanj", + "Rebelj", + "Mali Zvornik", + "\u0160abac", + "Sremska Mitrovica", + "Para\u0107in", + "Petrovac na Mlavi", + "Svilajnac", + "Smederevska Palanka" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Serbia" + }, + { + "Administrative_Area": "Bosnia and Herzegovina", + "Locations": [ + "Doboj", + "Maglaj", + "Zavidovi\u0107i", + 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"Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Bosnia and Herzegovina" + }, + { + "Administrative_Area": "Bosnia and Herzegovina", + "Locations": [ + "Pari\u0107i" + ], + "Start_Date": "13 May 2014", + "End_Date": "27 May 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Bosnia and Herzegovina" + }, + { + "Administrative_Area": "Croatia", + "Locations": [ + "Gunja", + "Rajevo Selo", + "Ra\u010dinovci" + ], + "Start_Date": "13 May 2014", + "End_Date": "27 May 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Croatia" + }, + { + "Administrative_Area": "Croatia", + "Locations": [ + "Slavonski \u0160amac" + ], + "Start_Date": "13 May 2014", + "End_Date": "27 May 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + 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"Dobrich" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "Bulgaria" + }, + { + "Administrative_Area": "Bulgaria", + "Locations": [ + "village of Tsani Ganchevo in Shumen Province" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2", + "Annotation": "Bulgaria" + } + ], + "Per_Country_Displaced": [ + { + "Administrative_Areas": [ + "Bulgaria" + ], + "Start_Date": "June 24, 2014", + "End_Date": "NULL", + "Num": "around 800 families", + "Annotation": "Response and aftermath" + } + ], + "Specific_Instance_Per_Country_Displaced": [ + { + "Administrative_Area": "Bulgaria", + "Locations": [ + "Asparuhovo" + ], + "Start_Date": "June 24, 2014", + "End_Date": "NULL", + "Num": "around 250 residents", + "Annotation": "Response and aftermath" + }, + { + "Administrative_Area": "Bulgaria", + "Locations": [ + "Asparuhovo" + ], + "Start_Date": "June 27, 2014", + "End_Date": "NULL", + "Num": "more than 1,000 residents", + "Annotation": "Response and 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"End_Date": "NULL", + "Num": "At least 43 homes were seriously damaged", + "Annotation": "Saint Lucia and Saint Vincent" + }, + { + "Administrative_Area": "Dominican Republic", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "51 homes were damaged", + "Annotation": "Dominican Republic and Haiti" + } + ], + "Total_Summary_Injuries": { + "Total_Injuries": "NULL", + "Total_Injuries_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Injuries": [ + { + "Administrative_Areas": "United States", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "United States" + }, + { + "Administrative_Areas": "Grenada", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Other islands" + }, + { + "Administrative_Areas": "Georgia", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Rest of the Southern U.S." + } + ], + "Specific_Instance_Per_Administrative_Area_Injuries": [ + 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"Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "United States" + }, + { + "Administrative_Areas": "Saint Lucia", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$34 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Saint Lucia and Saint Vincent" + } + ], + "Specific_Instance_Per_Administrative_Area_Damage": [ + { + "Administrative_Area": "Barbados", + "Locations": [ + "Southern part of the island" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Barbados" + }, + { + "Administrative_Area": "Saint Lucia", + "Locations": [ + "Fort St. Jacques, Soufri\u00e8re" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Saint Lucia and Saint Vincent" + }, + { + "Administrative_Area": "Saint Vincent and the Grenadines", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Saint Lucia and Saint Vincent" + }, + { + "Administrative_Area": "Grenada", + "Locations": [ + "St. Andrew", + "St. George" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Other islands" + }, + { + "Administrative_Area": "Martinique", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Other islands" + }, + { + "Administrative_Area": "Trinidad and Tobago", + "Locations": [ + "Port of Spain", + "Diego Martin", + "San Juan\u2013Laventille", + "Sangre Grande", + "Couva\u2013Tabaquite\u2013Talparo", + "Mayaro\u2013Rio Claro", + "Siparia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Other islands" + }, + { + "Administrative_Area": "Dominican Republic", + "Locations": [ + "Baoruco Province", + "San Crist\u00f3bal Province", + "Santo Domingo", + "San Jos\u00e9 de Ocoa Province" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Dominican Republic and Haiti" + }, + { + "Administrative_Area": "Haiti", + "Locations": [ + "Tiburon Peninsula" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": 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"Connecticut", + "Barkhamsted", + "Cape Breton", + "Nova Scotia", + "Prince Edward Island", + "New Brunswick", + "Miramichi", + "Saint John", + "Fredericton", + "Newfoundland", + "Labrador", + "Wreckhouse", + "North Port", + "Hillsborough", + "Pinellas", + "Polk counties", + "Lee County", + "Massachusetts", + "New Jersey" + ], + "Administrative_Areas_Annotation": "Info_Box", + "Per_Country_Affected": [ + { + "Administrative_Areas": [ + "Barbados" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "54 native individuals in the area were brought in evacuation shelters", + "Annotation": "Lesser Antilles" + }, + { + "Administrative_Areas": [ + "Saint Vincent and the Grenadines" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "94 shelters across the former were prepared for those who need to evacuate", + "Annotation": "Lesser Antilles" + }, + { + "Administrative_Areas": [ + "Haiti" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "thousands from their homes", 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"Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Dominican Republic and Haiti" + }, + { + "Administrative_Areas": [ + "Martinique" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Other islands" + }, + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "United States" + } + ], + "Specific_Instance_Per_Country_Deaths": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Florida Straits" + ], + "Start_Date": "July 5, 2021", + "End_Date": "July 9, 2021", + "Num": "9", + "Annotation": "Cuba" + }, + { + "Administrative_Area": "Dominican Republic", + "Locations": [ + "Baoruco Province" + ], + "Start_Date": "July 3, 2021", + "End_Date": "July 3, 2021", + "Num": "2", + "Annotation": "Dominican Republic and Haiti" + }, + { + "Administrative_Area": "Martinique", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "Other islands" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Jacksonville" + ], + "Start_Date": "July 7, 2021", + "End_Date": "July 7, 2021", + "Num": "1", + "Annotation": "Florida" + } + ], + "Per_Country_Displaced": [ + { + "Administrative_Areas": [ + "Barbados" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "54 native individuals", + "Annotation": "Lesser Antilles" + }, + { + "Administrative_Areas": [ + "Saint Vincent and the Grenadines" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Lesser Antilles" + }, + { + "Administrative_Areas": [ + "Haiti" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Greater Antilles" + }, + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "United States" + }, + { + "Administrative_Areas": [ + "Cuba" + ], + "Start_Date": 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"Impact and aftermath" + } + ], + "Specific_Instance_Per_Administrative_Area_Displaced": [ + { + "Administrative_Area": "Mexico", + "Locations": [ + "Campeche" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact and aftermath" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Veracruz" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact and aftermath" + } + ], + "Total_Summary_Homeless": { + "Total_Homeless": "over 2,000", + "Total_Homeless_Annotation": "Info_Box" + }, + "Instance_Per_Administrative_Areas_Homeless": [ + { + "Administrative_Areas": [ + "Mexico" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "over 2,000", + "Annotation": "Impact and aftermath" + } + ], + "Specific_Instance_Per_Administrative_Area_Homeless": [ + { + "Administrative_Area": "Mexico", + "Locations": [ + "Campeche" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact and aftermath" + } + ], + "Total_Summary_Injuries": { + "Total_Injuries": "NULL", + "Total_Injuries_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Injuries": [ + { + "Administrative_Areas": "Mexico", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact and aftermath" + } + ], + "Specific_Instance_Per_Administrative_Area_Injuries": [ + { + "Administrative_Area": "Mexico", + "Locations": [ + "Campeche" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact and aftermath" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Veracruz" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact and aftermath" + } + ], + "Total_Summary_Damage": { + "Total_Damage": "NULL", + "Total_Damage_Unit": "NULL", + "Total_Damage_Inflation_Adjusted": "NULL", + "Total_Damage_Inflation_Adjusted_Year": "NULL", + "Total_Damage_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Damage": [ + { + "Administrative_Areas": [ + "Mexico" + ], + "Start_Date": "August 19, 1973", + "End_Date": "August 22, 1973", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact and aftermath" + } + ], + "Specific_Instance_Per_Administrative_Area_Damage": [ + { + "Administrative_Area": "Mexico", + "Locations": [ + "Campeche" + ], + "Start_Date": "August 21, 1973", + "End_Date": "August 22, 1973", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact and aftermath" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Veracruz" + ], + "Start_Date": "August 21, 1973", + "End_Date": "August 22, 1973", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact and aftermath" + } + ], + "Main_Event": "Tropical Storm/Cyclone", + "Main_Event_Annotation": "Info_Box", + "Hazards": "Wind|Flood", + "Hazards_Annotation": "Impact and aftermath", + "Start_Date": null, + "End_Date": null, + "Time_Annotation": null, + "Administrative_Areas": null, + "Administrative_Areas_Annotation": null, + "Per_Country_Affected": [ + { + "Administrative_Areas": [ + "Mexico" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "over 2,000", + "Annotation": "Impact and aftermath" + } + ], + "Specific_Instance_Per_Country_Affected": [ + { + "Administrative_Area": "Mexico", + "Locations": [ + "Campeche" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "80% of the city", + "Annotation": "Impact and aftermath" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Veracruz" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact and aftermath" + } + ], + "Per_Country_Buildings_Damaged": [ + { + "Administrative_Areas": "Mexico", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact and aftermath" + } + ], + "Specific_Instance_Per_Country_Buildings_Damaged": [ + { + "Administrative_Area": "Mexico", + "Locations": [ + "Campeche" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "452 homes and the local docks", + "Annotation": "Impact and aftermath" + } + ], + "Per_Country_Deaths": [ + { + "Administrative_Areas": [ + "Mexico" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "10", + "Annotation": "Impact and aftermath" + } + ], + "Specific_Instance_Per_Country_Deaths": [ + { + "Administrative_Area": "Mexico", + "Locations": [ + "Campeche", + "Veracruz" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2", + "Annotation": "Impact and aftermath" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Veracruz" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2", + "Annotation": "Impact and aftermath" + } + ], + "Per_Country_Displaced": [ + { + "Administrative_Areas": [ + "Mexico" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "over 2,000", + "Annotation": "Impact and aftermath" + } + ], + "Specific_Instance_Per_Country_Displaced": [ + { + "Administrative_Area": "Mexico", + "Locations": [ + "Campeche" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact and aftermath" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Veracruz" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact and aftermath" + } + ], + "Per_Country_Homeless": [ + { + "Administrative_Areas": [ + "Mexico" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "over 2,000", + "Annotation": "Impact and aftermath" + } + ], + "Specific_Instance_Per_Country_Homeless": [ + { + "Administrative_Area": "Mexico", + "Locations": [ + "Campeche" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact and aftermath" + } + ], + "Per_Country_Injuries": [ + { + "Administrative_Areas": [ + "Mexico" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact and aftermath" + } + ], + "Specific_Instance_Per_Country_Injuries": [ + { + "Administrative_Area": "Mexico", + "Locations": [ + "Campeche" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact and aftermath" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Veracruz" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact and aftermath" + } + ], + "Per_Country_Damage": [ + { + "Administrative_Areas": [ + "Mexico" + ], + "Start_Date": "August 18, 1973", + "End_Date": "August 22, 1973", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact and aftermath" + } + ], + "Specific_Instance_Per_Country_Damage": [ + { + "Administrative_Area": "Mexico", + "Locations": [ + "Campeche" + ], + "Start_Date": "August 21, 1973", + "End_Date": "August 22, 1973", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact and aftermath" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Veracruz" + ], + "Start_Date": "August 21, 1973", + "End_Date": "August 22, 1973", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact and aftermath" + } + ], + "Time_Information": { + "Start_Date": "August 18, 1973", + "End_Date": "August 22, 1973", + "Time_Annotation": "Info_Box" + }, + "Location_Information": { + "Administrative_Areas": [ + "Cayman Islands", + "Mexico", + "Campeche", + "Yucatan Peninsula", + "M\u00e9rida", + "Ciudad del Carmen", + "Veracruz" + ], + "Administrative_Areas_Annotation": "Info_Box" + }, + "Json_Error": null, + "time_information": null, + "location_information": null + }, + { + "Event_ID": "Uta78XT", + "Sources": "https://en.wikipedia.org/wiki/2008_Chinese_winter_storms", + "Event_Names": "2008 Chinese winter storms ", + "Total_Summary_Affected": { + "Total_Affected": "78 million", + "Total_Affected_Annotation": "Damage" + }, + "Instance_Per_Administrative_Areas_Affected": [ + { + "Administrative_Areas": [ + "China" + ], + "Start_Date": "25 January 2008", + "End_Date": "6 February 2008", + "Num": "NULL", + "Annotation": "NULL" + } + ], + "Specific_Instance_Per_Administrative_Area_Affected": [ + { + "Administrative_Area": "China", + "Locations": [ + "Chenzhou" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "4.6 million", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Fuzhou, Jiangxi" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Guangxi" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "239,000", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Fourteen provinces" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "827,000", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Various locations" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1.8 million", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Guangzhou railway station" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "500,000 to 800,000", + "Annotation": "Railway" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Guangdong area" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "11 million", + "Annotation": "Railway" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Various highways" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "60,000", + "Annotation": "Airport" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Baiyun Airport in Guangzhou" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "10,000", + "Annotation": "Airport" + } + ], + "Total_Summary_Buildings_Damaged": { + "Total_Buildings_Damaged": "NULL", + "Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Buildings_Damaged": [ + { + "Administrative_Areas": [ + "China" + ], + "Start_Date": "25 January 2008", + "End_Date": "6 February 2008", + "Num": "about 223,000 homes were destroyed and 862,000 others were damaged", + "Annotation": "Damage" + } + ], + "Specific_Instance_Per_Administrative_Area_Buildings_Damaged": [ + { + "Administrative_Area": "China", + "Locations": [ + "Xiangtan" + ], + "Start_Date": "25 January 2008", + "End_Date": "6 February 2008", + "Num": "a 500 meter-long auto plant had its entire roof collapse", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Chenzhou" + ], + "Start_Date": "25 January 2008", + "End_Date": "6 February 2008", + "Num": "entire city had no power or water for nearly two weeks, including government buildings and hospitals", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Fuzhou" + ], + "Start_Date": "25 January 2008", + "End_Date": "6 February 2008", + "Num": "city lost power for about 3 weeks", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Wuhan" + ], + "Start_Date": "25 January 2008", + "End_Date": "6 February 2008", + "Num": "up to 100,000 people were out of running water when several water pipes burst, cutting the supply to local households", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Guangxi" + ], + "Start_Date": "25 January 2008", + "End_Date": "6 February 2008", + "Num": "about 239,000 were also having problems accessing drinking water", + "Annotation": "Damage" + } + ], + "Total_Summary_Deaths": { + "Total_Deaths": "at least 129", + "Annotation": "Info_Box" + }, + "Instance_Per_Administrative_Areas_Deaths": [ + { + "Administrative_Areas": "China", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "at least 107", + "Annotation": "Fatalities" + } + ], + "Specific_Instance_Per_Administrative_Area_Deaths": [ + { + "Administrative_Area": "China", + "Locations": [ + "Anhui" + ], + "Start_Date": "January 21", + "End_Date": "January 21", + "Num": "11", + "Annotation": "Fatalities" + }, + { + "Administrative_Area": "China", + "Locations": [ + "near Zunyi City" + ], + "Start_Date": "January 28", + "End_Date": "January 28", + "Num": "at least 25", + "Annotation": "Fatalities" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Hunan" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "3", + "Annotation": "Fatalities" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Guangzhou" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "at least 1", + "Annotation": "Fatalities" + }, + { + "Administrative_Area": "China", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "60", + "Annotation": "Fatalities" + }, + { + "Administrative_Area": "China", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "11", + "Annotation": "Fatalities" + } + ], + "Total_Summary_Displaced": { + "Total_Displaced": "1.8 million", + "Total_Displaced_Annotation": "Damage" + }, + "Instance_Per_Administrative_Areas_Displaced": [ + { + "Administrative_Areas": [ + "China" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1.8 million", + "Annotation": "Damage" + } + ], + "Specific_Instance_Per_Administrative_Area_Displaced": [ + { + "Administrative_Area": "China", + "Locations": [ + "fourteen provinces" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "827,000", + "Annotation": "Damage" + } + ], + "Total_Summary_Homeless": { + "Total_Homeless": "NULL", + "Total_Homeless_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Homeless": [ + { + "Administrative_Areas": [ + "China" + ], + "Start_Date": "25 January 2008", + "End_Date": "6 February 2008", + "Num": "NULL", + "Annotation": "Damage" + } + ], + "Specific_Instance_Per_Administrative_Area_Homeless": [ + { + "Administrative_Area": "China", + "Locations": [ + "Chenzhou" + ], + "Start_Date": "25 January 2008", + "End_Date": "6 February 2008", + "Num": "4.6 million", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Fuzhou" + ], + "Start_Date": "25 January 2008", + "End_Date": "6 February 2008", + "Num": "NULL", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Wuhan" + ], + "Start_Date": "25 January 2008", + "End_Date": "6 February 2008", + "Num": "100,000", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Guangxi" + ], + "Start_Date": "25 January 2008", + "End_Date": "6 February 2008", + "Num": "239,000", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Fourteen provinces" + ], + "Start_Date": "25 January 2008", + "End_Date": "6 February 2008", + "Num": "827,000", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Various regions" + ], + "Start_Date": "25 January 2008", + "End_Date": "6 February 2008", + "Num": "1.8 million", + "Annotation": "Damage" + } + ], + "Total_Summary_Injuries": { + "Total_Injuries": "about 200,000", + "Total_Injuries_Annotation": "Fatalities" + }, + "Instance_Per_Administrative_Areas_Injuries": [ + { + "Administrative_Areas": [ + "China" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "about 200,000", + "Annotation": "Fatalities" + } + ], + "Specific_Instance_Per_Administrative_Area_Injuries": [ + { + "Administrative_Area": "China", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "about 200,000", + "Annotation": "Fatalities" + } + ], + "Total_Summary_Damage": { + "Total_Damage": "At least 151.65 billion Chinese yuan", + "Total_Damage_Unit": "Chinese yuan", + "Total_Damage_Inflation_Adjusted": "No", + "Total_Damage_Inflation_Adjusted_Year": "NULL", + "Total_Damage_Annotation": "Info_Box" + }, + "Instance_Per_Administrative_Areas_Damage": [ + { + "Administrative_Areas": [ + "China" + ], + "Start_Date": "25 January 2008", + "End_Date": "6 February 2008", + "Num": "111 billion yuan", + "Num_Unit": "Chinese yuan", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Economic impact and costs" + } + ], + "Specific_Instance_Per_Administrative_Area_Damage": [ + { + "Administrative_Area": "China", + "Locations": [ + "Hunan" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "50,000 tonnes of lead and zinc production loss", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Economic impact and costs" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Guangdong" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "11 million migrant workers received ticket refunds", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Railway" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Chenzhou" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Fuzhou" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Wuhan" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Damage" + }, + { + "Administrative_Area": "China", + "Locations": [ + "Guangxi" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Damage" + } + ], + "Main_Event": "Extreme Temperature", + "Main_Event_Annotation": "Info_Box", + "Hazards": "Cold Spell|Blizzard", + "Hazards_Annotation": "Info_Box|Cold snap and blizzard", + "Start_Date": "25 January 2008", + "End_Date": "6 February 2008", + "Time_Annotation": "Info_Box", + "Administrative_Areas": [ + "Hubei", + "Hunan", + "Zhejiang", + "Guizhou", + "Guangdong", + "Jiangxi", + "Guangxi", + "Fujian", + "Henan", + "Shandong", + "Jiangsu", + "Anhui", + "Shanghai", + "Chongqing", + "Shanxi", + "Sichuan", + "Taklamakan", + "Xiangtan", + "Chenzhou", + "Fuzhou", + "Wuhan", + "Guangxi", + 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+ "End_Date": "NULL", + "Num": "one", + "Annotation": "Antilles" + }, + { + "Administrative_Areas": "United States", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "two", + "Annotation": "Elsewhere" + } + ], + "Specific_Instance_Per_Administrative_Area_Deaths": [ + { + "Administrative_Area": "Haiti", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "at least two", + "Annotation": "Antilles" + }, + { + "Administrative_Area": "Dominican Republic", + "Locations": [ + "Hato Mayor Province", + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "two", + "Annotation": "Antilles" + }, + { + "Administrative_Area": "Turks and Caicos", + "Locations": [ + "Providenciales" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "one", + "Annotation": "Antilles" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Ocean City, Maryland", + "Sandy Hook, New Jersey" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "two", + "Annotation": "Elsewhere" + } + ], + "Total_Summary_Displaced": { + "Total_Displaced": "NULL", + "Total_Displaced_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Displaced": [ + { + "Administrative_Areas": "Dominican Republic", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Just over 4,100 individuals", + "Annotation": "Antilles" + }, + { + "Administrative_Areas": "Haiti", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "about 640 families", + "Annotation": "Antilles" + } + ], + "Specific_Instance_Per_Administrative_Area_Displaced": [ + { + "Administrative_Area": "Dominican Republic", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Just over 4,100 individuals", + "Annotation": "Antilles" + }, + { + "Administrative_Area": "Haiti", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "about 640 families", + "Annotation": "Antilles" + } + ], + "Total_Summary_Homeless": { + "Total_Homeless": "NULL", + "Total_Homeless_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Homeless": [ + { + "Administrative_Areas": "Dominican Republic", + "Start_Date": "August 23, 2014", + "End_Date": "August 24, 2014", + "Num": "NULL", + "Annotation": "Antilles" + }, + { + "Administrative_Areas": "Haiti", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "about 640 families", + "Annotation": "Antilles" + } + ], + "Specific_Instance_Per_Administrative_Area_Homeless": [ + { + "Administrative_Area": "Dominican Republic", + "Locations": [ + "NULL" + ], + "Start_Date": "August 23, 2014", + "End_Date": "August 24, 2014", + "Num": "more than 800 dwellings", + "Annotation": "Antilles" + }, + { + "Administrative_Area": "Haiti", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "about 640 families", + "Annotation": "Antilles" + } + ], + "Total_Summary_Injuries": { + "Total_Injuries": "NULL", + "Total_Injuries_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Injuries": [ + { + "Administrative_Areas": "Haiti", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "many others sustained injuries", + "Annotation": "Antilles" + } + ], + "Specific_Instance_Per_Administrative_Area_Injuries": [ + { + "Administrative_Area": "Haiti", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "many others sustained injuries", + "Annotation": "Antilles" + } + ], + "Total_Summary_Damage": { + "Total_Damage": "Unknown", + "Total_Damage_Unit": "NULL", + "Total_Damage_Inflation_Adjusted": "NULL", + "Total_Damage_Inflation_Adjusted_Year": "NULL", + "Total_Damage_Annotation": "Info_Box" + }, + "Instance_Per_Administrative_Areas_Damage": [ + { + "Administrative_Areas": "Dominican Republic", + "Start_Date": "August 23, 2014", + "End_Date": "August 24, 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Antilles" + }, + { + "Administrative_Areas": "Haiti", + "Start_Date": "August 23, 2014", + "End_Date": "August 24, 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Antilles" + }, + { + "Administrative_Areas": "Turks and Caicos", + "Start_Date": "August 23, 2014", + "End_Date": "August 25, 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Antilles" + }, + { + "Administrative_Areas": "United States", + "Start_Date": "August 27, 2014", + "End_Date": "August 28, 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Elsewhere" + }, + { + "Administrative_Areas": "Iceland", + "Start_Date": "September 1, 2014", + "End_Date": "September 2, 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Elsewhere" + } + ], + "Specific_Instance_Per_Administrative_Area_Damage": [ + { + "Administrative_Area": "Dominican Republic", + "Locations": [ + "La Romana", + "Santo Domingo Province", + "Hato Mayor Province" + ], + "Start_Date": "August 23, 2014", + "End_Date": "August 24, 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Antilles" + }, + { + "Administrative_Area": "Haiti", + "Locations": [ + "Various locations" + ], + "Start_Date": "August 23, 2014", + "End_Date": "August 24, 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Antilles" + }, + { + "Administrative_Area": "Turks and Caicos", + "Locations": [ + "Providenciales", + "North Caicos" + ], + "Start_Date": "August 23, 2014", + "End_Date": "August 25, 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Antilles" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Ocean City, Maryland", + "Sandy Hook, New Jersey" + ], + "Start_Date": "August 27, 2014", + "End_Date": "August 28, 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Elsewhere" + }, + { + "Administrative_Area": "Iceland", + "Locations": [ + "Reykjav\u00edk", + "Reykjav\u00edk Airport", + "Keflav\u00edk International Airport" + ], + "Start_Date": "September 1, 2014", + "End_Date": "September 2, 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Elsewhere" + } + ], + "Main_Event": "Tropical Storm/Cyclone", + "Main_Event_Annotation": "Info_Box", + "Hazards": "Wind|Flood", + "Hazards_Annotation": "Info_Box|Antilles|Elsewhere", + "Start_Date": 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"Administrative_Areas": "Haiti", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "about 640 families displaced", + "Annotation": "Antilles" + }, + { + "Administrative_Areas": "Turks and Caicos Islands", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Antilles" + }, + { + "Administrative_Areas": "United States", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Elsewhere" + }, + { + "Administrative_Areas": "Iceland", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Elsewhere" + } + ], + "Specific_Instance_Per_Country_Affected": [ + { + "Administrative_Area": "Puerto Rico", + "Locations": [ + "Tibes", + "San Juan" + ], + "Start_Date": "August 23, 2014", + "End_Date": "NULL", + "Num": "nearly 17,000 customers without electricity, 7,000 without clean drinking water", + "Annotation": "Antilles" + }, + { + "Administrative_Area": "Dominican Republic", + "Locations": [ + "La Romana", + "Santo 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"Per_Country_Buildings_Damaged": [ + { + "Administrative_Areas": "Dominican Republic", + "Start_Date": "August 23, 2014", + "End_Date": "August 24, 2014", + "Num": "more than 800 dwellings", + "Annotation": "Antilles" + }, + { + "Administrative_Areas": "Haiti", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "four homes and heavily damaged 28 others", + "Annotation": "Antilles" + }, + { + "Administrative_Areas": "Turks and Caicos", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "extensive damage to peoples' property and possessions", + "Annotation": "Antilles" + }, + { + "Administrative_Areas": "Iceland", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "flooded buildings", + "Annotation": "Elsewhere" + } + ], + "Specific_Instance_Per_Country_Buildings_Damaged": [ + { + "Administrative_Area": "Dominican Republic", + "Locations": [ + "La Romana", + "Santo Domingo Province", + "Hato Mayor Province" + ], + "Start_Date": "August 23, 2014", + "End_Date": "August 24, 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"Administrative_Area": "Haiti", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "about 640 families", + "Annotation": "Antilles" + } + ], + "Per_Country_Injuries": [ + { + "Administrative_Areas": "Haiti", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "many others sustained injuries", + "Annotation": "Antilles" + } + ], + "Specific_Instance_Per_Country_Injuries": [ + { + "Administrative_Area": "Haiti", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "many others sustained injuries", + "Annotation": "Antilles" + } + ], + "Per_Country_Damage": [ + { + "Administrative_Areas": "Puerto Rico", + "Start_Date": "August 23, 2014", + "End_Date": "August 24, 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Antilles" + }, + { + "Administrative_Areas": "Dominican Republic", + "Start_Date": "August 23, 2014", + "End_Date": 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"Start_Date": "September 1, 2014", + "End_Date": "September 2, 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Elsewhere" + } + ], + "Specific_Instance_Per_Country_Damage": [ + { + "Administrative_Area": "Puerto Rico", + "Locations": [ + "Tibes", + "San Juan" + ], + "Start_Date": "August 23, 2014", + "End_Date": "August 24, 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Antilles" + }, + { + "Administrative_Area": "Dominican Republic", + "Locations": [ + "La Romana", + "Santo Domingo Province", + "Hato Mayor Province" + ], + "Start_Date": "August 23, 2014", + "End_Date": "August 24, 2014", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Antilles" + }, + { + "Administrative_Area": "Haiti", + "Locations": [ + "NULL" + ], + 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"Annotation": "Elsewhere in Central America" + }, + { + "Administrative_Areas": "Mexico", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "120 houses", + "Annotation": "Elsewhere in Central America" + } + ], + "Specific_Instance_Per_Administrative_Area_Buildings_Damaged": [ + { + "Administrative_Area": "Belize", + "Locations": [ + "Toledo district", + "Stann Creek district", + "Placencia", + "Seine Bight", + "Monkey River Town" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Belize" + }, + { + "Administrative_Area": "Guatemala", + "Locations": [ + "Pet\u00e9n Department" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Elsewhere in Central America" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Oaxaca" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "20 homes", + "Annotation": "Elsewhere in Central America" + } + ], + "Total_Summary_Deaths": { + "Total_Deaths": "36", + 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"Administrative_Area": "Guatemala", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "8", + "Annotation": "Elsewhere in Central America" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Oaxaca" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2", + "Annotation": "Elsewhere in Central America" + } + ], + "Total_Summary_Displaced": { + "Total_Displaced": "NULL", + "Total_Displaced_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Displaced": [ + { + "Administrative_Areas": "Belize", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "11,380 people", + "Annotation": "Preparations" + }, + { + "Administrative_Areas": "Guatemala", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "27,500 people", + "Annotation": "Elsewhere in Central America" + }, + { + "Administrative_Areas": "Honduras", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "5,000 people", + "Annotation": "Preparations" + } + ], + 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"Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Elsewhere in Central America" + }, + { + "Administrative_Areas": [ + "Mexico" + ], + "Start_Date": "October 4, 2001", + "End_Date": "October 9, 2001", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Elsewhere in Central America" + } + ], + "Specific_Instance_Per_Administrative_Area_Damage": [ + { + "Administrative_Area": "Belize", + "Locations": [ + "Toledo district", + "Stann Creek district", + "Placencia", + "Seine Bight", + "Monkey River Town" + ], + "Start_Date": "October 4, 2001", + "End_Date": "October 9, 2001", + "Num": "$103 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Belize" + }, + { + "Administrative_Area": "Belize", + "Locations": [ + "hotel rooms" + ], + "Start_Date": "October 4, 2001", + "End_Date": "October 9, 2001", + "Num": "$37 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Belize" + }, + { + "Administrative_Area": "Belize", + "Locations": [ + "transportation sector" + ], + "Start_Date": "October 4, 2001", + "End_Date": "October 9, 2001", + "Num": "$25 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Belize" + }, + { + "Administrative_Area": "Guatemala", + "Locations": [ + "Pet\u00e9n Department" + ], + "Start_Date": "October 4, 2001", + "End_Date": "October 9, 2001", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Elsewhere in Central America" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Chiapas", + "Oaxaca" + ], + "Start_Date": "October 4, 2001", + "End_Date": "October 9, 2001", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Elsewhere in Central America" + } + ], + "Main_Event": "Tropical Storm/Cyclone", + "Main_Event_Annotation": "Info_Box", + "Hazards": "Wind|Flood", + "Hazards_Annotation": "Info_Box|Belize|Elsewhere in Central America", + "Start_Date": "October 4, 2001", + "End_Date": "October 9, 2001", + "Time_Annotation": "Info_Box", + "Administrative_Areas": [ + "Windward Islands", + "Hispaniola", + "Jamaica", + "Honduras", + "Belize", + "Guatemala", + "Eastern Mexico", + "Saint Thomas", + "Dominican Republic", + "Puerto Rico", + "St. Vincent", + "St. Lucia", + "Cayman Islands", + "Yucat\u00e1n Peninsula", + "Granma", + "Santiago de Cuba", + "Placencia", + "Seine Bight", + "Monkey River Town", + "Pet\u00e9n Department", + "Chiapas", + "Oaxaca" + ], + "Administrative_Areas_Annotation": "Info_Box", + "Per_Country_Affected": [ + { + "Administrative_Areas": [ + "Belize" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "21,568", + "Annotation": "Belize" + }, + { + "Administrative_Areas": [ + "Guatemala" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "27,500", + "Annotation": "Elsewhere in Central America" + } + ], + "Specific_Instance_Per_Country_Affected": [ + { + "Administrative_Area": "Dominican Republic", + "Locations": [ + "Santo Domingo" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "35 families", + "Annotation": "Lesser and Greater Antilles" + }, + { + "Administrative_Area": "Belize", + "Locations": [ + "Toledo district", + "Stann Creek district", + "Placencia", + "Seine Bight", + "Monkey River Town" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "15,000", + "Annotation": "Belize" + }, + { + "Administrative_Area": "Guatemala", + "Locations": [ + "Pet\u00e9n Department" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Elsewhere in Central America" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Oaxaca" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "120 houses", + "Annotation": "Elsewhere in Central America" + } + ], + "Per_Country_Buildings_Damaged": [ + { + "Administrative_Areas": "Belize", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "3,718 homes", + "Annotation": "Belize" + }, + { + "Administrative_Areas": "Guatemala", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2,500 homes", + "Annotation": "Elsewhere in Central America" + }, + { + "Administrative_Areas": "Mexico", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "120 houses", + "Annotation": "Elsewhere in Central America" + } + ], + "Specific_Instance_Per_Country_Buildings_Damaged": [ + { + "Administrative_Area": "Dominican Republic", + "Locations": [ + "Santo Domingo" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1 home", + "Annotation": "Lesser and Greater Antilles" + }, + { + "Administrative_Area": "Jamaica", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2 houses", + "Annotation": "Lesser and Greater Antilles" + }, + { + "Administrative_Area": "Belize", + "Locations": [ + "35 villages" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "more than 95% of the buildings", + "Annotation": "Belize" + }, + { + "Administrative_Area": "Belize", + "Locations": [ + "Toledo district" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "72% of the houses", + "Annotation": "Belize" + }, + { + "Administrative_Area": "Belize", + "Locations": [ + "Stann Creek district" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "50% of the houses", + "Annotation": "Belize" + }, + { + "Administrative_Area": "Belize", + "Locations": [ + "Placencia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "80% of the homes", + "Annotation": "Belize" + }, + { + "Administrative_Area": "Belize", + "Locations": [ + "Seine Bight" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "90% of the houses", + "Annotation": "Belize" + }, + { + "Administrative_Area": "Belize", + "Locations": [ + "Monkey River Town" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "over 90% of the homes", + "Annotation": "Belize" + }, + { + "Administrative_Area": "Belize", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "31 schools", + "Annotation": "Belize" + }, + { + "Administrative_Area": "Belize", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "17 health facilities", + "Annotation": "Belize" + }, + { + "Administrative_Area": "Guatemala", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "26 schools", + "Annotation": "Elsewhere in Central America" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Oaxaca" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "20 homes", + "Annotation": "Elsewhere in Central America" + } + ], + "Per_Country_Deaths": [ + { + "Administrative_Areas": [ + "Belize" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "24", + "Annotation": "Belize" + }, + { + "Administrative_Areas": [ + "Guatemala" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "8", + "Annotation": "Elsewhere in Central America" + }, + { + "Administrative_Areas": [ + "Mexico" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2", + "Annotation": "Elsewhere in Central America" + }, + { + "Administrative_Areas": [ + "Dominican Republic" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "8", + "Annotation": "Lesser and Greater Antilles" + } + ], + "Specific_Instance_Per_Country_Deaths": [ + { + "Administrative_Area": "Belize", + "Locations": [ + "Big Creek" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "20", + "Annotation": "Wave Dancer" + }, + { + "Administrative_Area": "Dominican Republic", + "Locations": [ + "Santo Domingo" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "3", + "Annotation": "Lesser and Greater Antilles" + }, + { + "Administrative_Area": "Guatemala", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2", + "Annotation": "Elsewhere in Central America" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Oaxaca" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "Elsewhere in Central America" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Oaxaca" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "Elsewhere in Central America" + } + ], + "Per_Country_Displaced": [ + { + "Administrative_Areas": [ + "Belize" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "11,380 people evacuated their homes", + "Annotation": "Preparations" + }, + { + "Administrative_Areas": [ + "Honduras" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "5,000 people evacuated from their homes", + "Annotation": "Preparations" + }, + { + "Administrative_Areas": [ + "Guatemala" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "27,500 people were affected by the storm", + "Annotation": "Elsewhere in Central America" + } + ], + "Specific_Instance_Per_Country_Displaced": [ + { + "Administrative_Area": "Dominican Republic", + "Locations": [ + "Santo Domingo" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "35 families evacuated their homes", + "Annotation": "Lesser and Greater Antilles" + }, + { + "Administrative_Area": "Belize", + "Locations": [ + "Stann Creek", + "Toledo coastal villages", + "offshore islands", + "Belize City" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "11,380 people evacuated their homes", + "Annotation": "Preparations" + } + ], + "Per_Country_Homeless": [ + { + "Administrative_Areas": [ + "Belize" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "15,000", + "Annotation": "Belize" + }, + { + "Administrative_Areas": [ + "Guatemala" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "27,500", + "Annotation": "Elsewhere in Central America" + } + ], + "Specific_Instance_Per_Country_Homeless": [ + { + "Administrative_Area": "Belize", + "Locations": [ + "Toledo district", + "Stann Creek district" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Belize" + } + ], + "Per_Country_Injuries": [ + { + "Administrative_Areas": [ + "Guatemala" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "nearly 100", + "Annotation": "Elsewhere in Central America" + } + ], + "Specific_Instance_Per_Country_Injuries": [ + { + "Administrative_Area": "Dominican Republic", + "Locations": [ + "outside of Santo Domingo" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2", + "Annotation": "Lesser and Greater Antilles" + }, + { + "Administrative_Area": "Jamaica", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "Lesser and Greater Antilles" + }, + { + "Administrative_Area": "Guatemala", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "nearly 100", + "Annotation": "Elsewhere in Central America" + } + ], + "Per_Country_Damage": [ + { + "Administrative_Areas": [ + "Belize" + ], + "Start_Date": "October 9, 2001", + "End_Date": "October 9, 2001", + "Num": "$250 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Belize" + }, + { + "Administrative_Areas": [ + "Guatemala" + ], + "Start_Date": "October 9, 2001", + "End_Date": "October 9, 2001", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Elsewhere in Central America" + }, + { + "Administrative_Areas": [ + "Mexico" + ], + "Start_Date": "October 9, 2001", + "End_Date": "October 9, 2001", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Elsewhere in Central America" + } + ], + "Specific_Instance_Per_Country_Damage": [ + { + "Administrative_Area": "Belize", + "Locations": [ + "Toledo district", + "Stann Creek district" + ], + "Start_Date": "October 9, 2001", + "End_Date": "October 9, 2001", + "Num": "$103 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Belize" + }, + { + "Administrative_Area": "Belize", + "Locations": [ + "hotel rooms" + ], + "Start_Date": "October 9, 2001", + "End_Date": "October 9, 2001", + "Num": "$37 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Belize" + }, + { + "Administrative_Area": "Belize", + "Locations": [ + "transportation sector" + ], + "Start_Date": "October 9, 2001", + "End_Date": "October 9, 2001", + "Num": "$25 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Belize" + }, + { + "Administrative_Area": "Guatemala", + "Locations": [ + "Pet\u00e9n Department" + ], + "Start_Date": "October 9, 2001", + "End_Date": "October 9, 2001", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Elsewhere in Central America" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Oaxaca" + ], + "Start_Date": "October 9, 2001", + "End_Date": "October 9, 2001", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Elsewhere in Central America" + } + ], + "Time_Information": { + "Start_Date": "October 4, 2001", + "End_Date": "October 9, 2001", + "Time_Annotation": "Info_Box" + }, + "Location_Information": { + "Administrative_Areas": [ + "Windward Islands", + "Hispaniola", + "Jamaica", + "Honduras", + "Belize", + "Guatemala", + "Eastern Mexico", + "Barbados", + "Puerto Rico", + "Dominican Republic", + "St. Vincent", + "St. Lucia", + "St. Thomas", + "Cuban provinces of Granma and Santiago de Cuba", + "Cayman Islands", + "Yucat\u00e1n Peninsula", + "Placencia", + "Seine Bight", + "Monkey River Town", + "Pet\u00e9n Department", + "Chiapas", + "Oaxaca" + ], + "Administrative_Areas_Annotation": "Info_Box" + }, + "Json_Error": null, + "time_information": null, + "location_information": null + }, + { + "Event_ID": "JmaKdfZ", + "Sources": "https://en.wikipedia.org/wiki/Hurricane_Floyd", + "Event_Names": "Hurricane Floyd ", + "Total_Summary_Affected": { + "Total_Affected": "NULL", + "Total_Affected_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Affected": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + }, + { + "Administrative_Areas": [ + "Bahamas" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "tens of thousands", + "Annotation": "Caribbean and Bahamas" + }, + { + "Administrative_Areas": [ + "Canada" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "New England and Canada" + } + ], + "Specific_Instance_Per_Administrative_Area_Affected": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Florida" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "more than one million", + "Annotation": "Preparations" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Florida", + "Georgia", + "Carolinas" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "around 2.6 million", + "Annotation": "Preparations" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "10,000", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "31,000", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "450", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "500,000", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Delaware" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "300", + "Annotation": "Preparations" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Delaware" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "25,000", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "New Jersey" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1,000", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "New Jersey" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "500,000", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pennsylvania" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "4,000", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pennsylvania" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "500,000", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "New York" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "100,000", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "Canada", + "Locations": [ + "Nova Scotia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "6,000", + "Annotation": "New England and Canada" + } + ], + "Total_Summary_Buildings_Damaged": { + "Total_Buildings_Damaged": "NULL", + "Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Buildings_Damaged": [ + { + "Administrative_Areas": "Bahamas", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Caribbean and Bahamas" + }, + { + "Administrative_Areas": "United States", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Southeastern United States" + }, + { + "Administrative_Areas": "Canada", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "New England and Canada" + } + ], + "Specific_Instance_Per_Administrative_Area_Buildings_Damaged": [ + { + "Administrative_Area": "Bahamas", + "Locations": [ + "Abaco Island", + "Cat Island", + "San Salvador Island", + "Eleuthera Island" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "a significant number of houses", + "Annotation": "Caribbean and Bahamas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Volusia County, Florida" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "337 homes", + "Annotation": "Southeastern United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "7,000 homes destroyed, 17,000 homes uninhabitable, 56,000 homes damaged", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Franklin, Virginia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "150 houses", + "Annotation": "Virginia" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "5 houses destroyed, 23 severely damaged", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Delaware" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "171 homes damaged, 33 homes condemned", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Bound Brook, New Jersey" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "200 buildings condemned", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Manville, New Jersey" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1,500 homes damaged, 284 homes condemned", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pennsylvania" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "10,000 homes flooded, 200 homes uninhabitable", + "Annotation": "Mid-Atlantic" + } + ], + "Total_Summary_Deaths": { + "Total_Deaths": "85", + "Annotation": "Info_Box" + }, + "Instance_Per_Administrative_Areas_Deaths": [ + { + "Administrative_Areas": "United States", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "85", + "Annotation": "Impact" + } + ], + "Specific_Instance_Per_Administrative_Area_Deaths": [ + { + "Administrative_Area": "Bahamas", + "Locations": [ + "Freeport" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "Caribbean and Bahamas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "51", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Virginia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "4", + "Annotation": "Virginia" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "New Jersey" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "7", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pennsylvania" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "13", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "New York" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Connecticut" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "New England and Canada" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Vermont" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "New England and Canada" + } + ], + "Total_Summary_Displaced": { + "Total_Displaced": "2.6 million", + "Total_Displaced_Annotation": "header: Hurricane Floyd" + }, + "Instance_Per_Administrative_Areas_Displaced": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2.6 million", + "Annotation": "header-content pair article header" + }, + { + "Administrative_Areas": [ + "Bahamas" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "header: Caribbean and Bahamas" + }, + { + "Administrative_Areas": [ + "Canada" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "header: Atlantic Canada" + } + ], + "Specific_Instance_Per_Administrative_Area_Displaced": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Florida", + "Georgia", + "Carolinas" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1 million", + "Annotation": "header: Preparations" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Miami-Dade County" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "272,000", + "Annotation": "header: Preparations" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Delaware" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "300", + "Annotation": "header: Preparations" + }, + { + "Administrative_Area": "Bahamas", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "header: Caribbean and 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"Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Virginia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "9,250 houses damaged", + "Annotation": "Virginia" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "5 houses destroyed, 23 severely damaged", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Delaware" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "171 homes damaged, 33 homes condemned", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "New Jersey" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "200 buildings condemned in Bound Brook, 284 homes condemned in Manville", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pennsylvania" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "10,000 homes flooded, 200 uninhabitable, 4,000 people lost their homes", + "Annotation": "Mid-Atlantic" + } + ], + "Total_Summary_Injuries": { + "Total_Injuries": "NULL", + "Total_Injuries_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Injuries": [ + { + "Administrative_Areas": "United States", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Impact" + } + ], + "Specific_Instance_Per_Administrative_Area_Injuries": [ + { + "Administrative_Area": "Bahamas", + "Locations": [ + "Freeport" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "few injuries", + "Annotation": "Caribbean and Bahamas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Two people", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "one person", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pennsylvania" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "another 40 people", + "Annotation": "Mid-Atlantic" + } + ], + "Total_Summary_Damage": { + "Total_Damage": "$6.5 billion", + "Total_Damage_Unit": "USD", + "Total_Damage_Inflation_Adjusted": "No", + "Total_Damage_Inflation_Adjusted_Year": "NULL", + "Total_Damage_Annotation": "Info_Box" + }, + "Instance_Per_Administrative_Areas_Damage": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$6.5 billion", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Impact" + } + ], + "Specific_Instance_Per_Administrative_Area_Damage": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Volusia County, Florida" + ], + "Start_Date": "NULL", 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"Num_Inflation_Adjusted": "Yes", + "Num_Inflation_Adjusted_Year": "2022", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Virginia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$101 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Virginia" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$7.9 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Delaware" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$8.42 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United 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"End_Date": null, + "Time_Annotation": null, + "Administrative_Areas": null, + "Administrative_Areas_Annotation": null, + "Per_Country_Affected": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2.6 million", + "Annotation": "Preparations" + }, + { + "Administrative_Areas": [ + "Bahamas" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "tens of thousands", + "Annotation": "Caribbean and Bahamas" + }, + { + "Administrative_Areas": [ + "Canada" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "6,000", + "Annotation": "New England and Canada" + } + ], + "Specific_Instance_Per_Country_Affected": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Florida" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "more than one million", + "Annotation": "Preparations" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Miami-Dade County" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "272,000", + "Annotation": "Preparations" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "10,000", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "31,000 jobs", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "450", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "500,000", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Delaware" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "300", + "Annotation": "Preparations" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Delaware" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "25,000", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "New Jersey" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1,000", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "New Jersey" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "500,000", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pennsylvania" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "4,000", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pennsylvania" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "500,000", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "New York" 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"Start_Date": "NULL", + "End_Date": "NULL", + "Num": "a significant number of houses", + "Annotation": "Caribbean and Bahamas" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Volusia County, Florida" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "337 homes", + "Annotation": "Southeastern United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "South Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "a few roofs", + "Annotation": "Southeastern United States" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "7,000 homes destroyed, 17,000 uninhabitable, 56,000 damaged", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Franklin, Virginia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "150 houses", + "Annotation": "Virginia" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maryland" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "5 houses destroyed, 23 severely damaged", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Delaware" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "171 homes damaged, 33 homes condemned", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Bound Brook, New Jersey" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "200 buildings condemned", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Manville, New Jersey" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1,500 homes damaged, 284 homes condemned", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pennsylvania" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "10,000 homes flooded, 200 uninhabitable", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "New York" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Connecticut" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "New England and Canada" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Rhode Island" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "New England and Canada" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Massachusetts" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "New England and Canada" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "New Hampshire" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "New England and Canada" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Vermont" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "New England and Canada" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Maine" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "New England and Canada" + }, + { + "Administrative_Area": "Canada", + "Locations": [ + "Quebec" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "New England and Canada" + }, + { + "Administrative_Area": "Canada", + "Locations": [ + "New Brunswick" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "New England and Canada" + }, + { + "Administrative_Area": "Canada", + "Locations": [ + "Prince Edward Island" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "New England and Canada" + }, + { + "Administrative_Area": "Canada", + "Locations": [ + "Nova Scotia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "New England and Canada" + } + ], + "Per_Country_Deaths": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "85", + "Annotation": "Impact" + } + ], + "Specific_Instance_Per_Country_Deaths": [ + { + "Administrative_Area": "United States", + "Locations": [ + "North Carolina" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "51", + "Annotation": "North Carolina" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Virginia" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "4", + "Annotation": "Virginia" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "New Jersey" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "7", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Pennsylvania" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "13", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "New York" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2", + "Annotation": "Mid-Atlantic" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Connecticut" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "New England and Canada" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Vermont" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "1", + "Annotation": "New England and Canada" + } + ], + "Per_Country_Displaced": [ + { + "Administrative_Areas": [ + "United States" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2.6 million", + "Annotation": "header: Hurricane Floyd" + }, + { + "Administrative_Areas": [ + "Bahamas" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "header: Caribbean and Bahamas" + }, + { + "Administrative_Areas": [ + "Canada" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "header: Atlantic Canada" + } + ], + "Specific_Instance_Per_Country_Displaced": [ + { + "Administrative_Area": "United States", + "Locations": [ + "Florida", + "Georgia", + "Carolinas" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2.6 million", + "Annotation": "header: Hurricane Floyd" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Miami-Dade County" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "272,000", + "Annotation": "header: Preparations" + }, + { + "Administrative_Area": "United States", + "Locations": [ + "Delaware" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "300", + "Annotation": "header: Preparations" + }, + { + "Administrative_Area": "Canada", + "Locations": [ + "Sable Offshore Energy Project" + ], + "Start_Date": "NULL", 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"Administrative_Area": "Tuvalu", + "Locations": [ + "Nanumea", + "Nanumanga", + "Niutao", + "Nui", + "Nukufetau", + "Nukulaelae", + "Vaitupu" + ], + "Start_Date": "10 March 2015", + "End_Date": "11 March 2015", + "Num": "Significant damage to agriculture and infrastructure", + "Annotation": "Tuvalu" + }, + { + "Administrative_Area": "Solomon Islands", + "Locations": [ + "Malaita", + "Makira-Ulawa", + "Temotu", + "Santa Cruz Islands", + "Anuta", + "Tikopia" + ], + "Start_Date": "8 March 2015", + "End_Date": "12 March 2015", + "Num": "1,500 homes", + "Annotation": "Solomon Islands" + }, + { + "Administrative_Area": "New Caledonia", + "Locations": [ + "Mar\u00e9", + "Lifou" + ], + "Start_Date": "13 March 2015", + "End_Date": "15 March 2015", + "Num": "few roofs blown out", + "Annotation": "New Caledonia" + } + ], + "Total_Summary_Deaths": { + "Total_Deaths": "15-16 total", + "Annotation": "Info_Box" + }, + "Instance_Per_Administrative_Areas_Deaths": [ + { + "Administrative_Areas": 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"Administrative_Area": "New Zealand", + "Locations": [ + "Gisborne region" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Some voluntary evacuations", + "Annotation": "New Zealand" + }, + { + "Administrative_Area": "New Zealand", + "Locations": [ + "Chatham Islands" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Twelve people", + "Annotation": "New Zealand" + } + ], + "Total_Summary_Homeless": { + "Total_Homeless": "NULL", + "Total_Homeless_Annotation": "NULL" + }, + "Instance_Per_Administrative_Areas_Homeless": [ + { + "Administrative_Areas": "Tuvalu", + "Start_Date": "14 March 2015", + "End_Date": "NULL", + "Num": "45 percent of the nation's nearly 10,000 people", + "Annotation": "Tuvalu" + }, + { + "Administrative_Areas": "Solomon Islands", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "5,000 people", + "Annotation": "Solomon Islands" + } + ], + "Specific_Instance_Per_Administrative_Area_Homeless": [ + { + "Administrative_Area": "Vanuatu", + 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"Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Num_Unit": "NULL", + "Num_Inflation_Adjusted": "NULL", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "New Zealand" + } + ], + "Main_Event": "Tropical Storm/Cyclone", + "Main_Event_Annotation": "Info_Box", + "Hazards": "Wind|Flood", + "Hazards_Annotation": "Info_Box|Vanuatu|Tuvalu|Solomon Islands|New Zealand", + "Start_Date": "6 March 2015", + "End_Date": "20 March 2015", + "Time_Annotation": "Info_Box", + "Administrative_Areas": [ + "Fiji", + "Kiribati", + "Solomon Islands", + "Tuvalu", + "Vanuatu", + "New Caledonia", + "New Zealand", + "Port Vila", + "Efate", + "Erromango", + "Tanna", + "Tongoa", + "Mataso", + "Moso Island", + "Santa Cruz Islands", + "Anuta", + "Tikopia", + "Yasawa Islands", + "Mar\u00e9", + "Lifou", + "Hicks Bay", + "Gisborne", + "Whangarei District", + "Tutukaka", + "Tolaga Bay", + "Chatham Islands", + "Nui", + "Nukufetau", + "Nanumea", + "Nanumanga", + "Niutao", + "Nukulaelae", + "Vaitupu" + 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"Specific_Instance_Per_Country_Displaced": [ + { + "Administrative_Area": "Nicaragua", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "More than 1,000 families, some 6,200 people", + "Annotation": "Nicaragua" + }, + { + "Administrative_Area": "Honduras", + "Locations": [ + "Gracias a Dios province" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "at least 300 people", + "Annotation": "Preparations" + }, + { + "Administrative_Area": "Belize", + "Locations": [ + "three towns near the border with Guatemala" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Preparations" + } + ], + "Per_Country_Homeless": [ + { + "Administrative_Areas": "Nicaragua", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "More than 1,000 families, some 6,200 people", + "Annotation": "Nicaragua" + }, + { + "Administrative_Areas": "Mexico", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Thousands", + "Annotation": "Mexico" + } + ], + "Specific_Instance_Per_Country_Homeless": [ + { + "Administrative_Area": "Nicaragua", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "More than 1,000 families, some 6,200 people", + "Annotation": "Nicaragua" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "southern part of the country" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "Thousands", + "Annotation": "Mexico" + } + ], + "Per_Country_Injuries": [ + { + "Administrative_Areas": "Honduras", + "Start_Date": "September 24, 2010", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Honduras" + }, + { + "Administrative_Areas": "Guatemala", + "Start_Date": "September 25, 2010", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Guatemala" + }, + { + "Administrative_Areas": "Nicaragua", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Nicaragua" + }, + { + "Administrative_Areas": "Mexico", + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "NULL", + "Annotation": "Mexico" + } + ], + "Specific_Instance_Per_Country_Injuries": [ + { + "Administrative_Area": "Honduras", + "Locations": [ + "Olanchito" + ], + "Start_Date": "September 24, 2010", + "End_Date": "NULL", + "Num": "10", + "Annotation": "Honduras" + } + ], + "Per_Country_Damage": [ + { + "Administrative_Areas": [ + "Nicaragua" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$10.2 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Nicaragua" + }, + { + "Administrative_Areas": [ + "Mexico" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2 billion MXN", + "Num_Unit": "MXN", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Mexico" + }, + { + "Administrative_Areas": [ + "Mexico" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "100 billion MXN", + "Num_Unit": "MXN", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Mexico" + } + ], + "Specific_Instance_Per_Country_Damage": [ + { + "Administrative_Area": "Nicaragua", + "Locations": [ + "NULL" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "$10.2 million", + "Num_Unit": "USD", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Nicaragua" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Oaxaca" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "2 billion MXN", + "Num_Unit": "MXN", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Mexico" + }, + { + "Administrative_Area": "Mexico", + "Locations": [ + "Veracruz" + ], + "Start_Date": "NULL", + "End_Date": "NULL", + "Num": "100 billion MXN", + "Num_Unit": "MXN", + "Num_Inflation_Adjusted": "No", + "Num_Inflation_Adjusted_Year": "NULL", + "Annotation": "Mexico" + } + ], + "Time_Information": { + "Start_Date": "September 23, 2010", + "End_Date": "September 28, 2010", + "Time_Annotation": "Info_Box" + }, + "Location_Information": { + "Administrative_Areas": [ + "Venezuela", + "Central America", + "Mexico", + "Jamaica", + "Nicaragua", + "Honduras", + "Belize", + "Guatemala", + "El Salvador", + "Oaxaca", + "Veracruz", + "Santa Mar\u00eda Tlahuitoltepec", + "Puerto Cabezas", + "Lim\u00f3n", + "Gracias a Dios", + "Izabal", + "Punta de Manabique", + "Ul\u00faa River", + "Olanchito", + "Puerto Barrios", + "Cura\u00e7ao", + "Cape Verde", + "Saint Lucia", + "Caracas", + "Sucre" + ], + "Administrative_Areas_Annotation": "Info_Box" + }, + "Json_Error": null, + "time_information": null, + "location_information": null + } +] diff --git a/Database/schema/L1_schema.sql b/Database/schema/L1_schema.sql index ff7443c7c..40be36ff0 100644 --- a/Database/schema/L1_schema.sql +++ b/Database/schema/L1_schema.sql @@ -1,5 +1,5 @@ CREATE TABLE Total_Summary ( - Event_ID TEXT PRIMARY KEY NOT NULL CHECK (length(Event_ID) = 7), /* COMMENT 'UID' */ + Event_ID TEXT PRIMARY KEY NOT NULL CHECK (length(Event_ID) == 7), /* COMMENT 'UID' */ Event_Names OBJECT NOT NULL, /* COMMENT 'Array' */ Sources OBJECT NOT NULL, /* COMMENT 'Array' */ Main_Event TEXT NOT NULL, /* COMMENT 'Categorical' */ @@ -10,61 +10,63 @@ CREATE TABLE Total_Summary ( Administrative_Areas_Type OBJECT, /* COMMENT 'Array' of TEXT/NULL, categorical */ Administrative_Areas_GeoJson OBJECT, /* COMMENT 'Array' of GeoJson Objects or NULLs */ - Start_Date_Day INTEGER CHECK (Start_Date_Day <= 31), - Start_Date_Month INTEGER CHECK (Start_Date_Month <= 12), - Start_Date_Year INTEGER NOT NULL CHECK (length(Start_Date_Year) = 4), - End_Date_Day INTEGER CHECK (End_Date_Day <= 31), - End_Date_Month INTEGER CHECK (End_Date_Month <= 12), - End_Date_Year INTEGER NOT NULL CHECK (length(End_Date_Year) = 4), + Start_Date_Day INTEGER CHECK (Start_Date_Day <= 31 OR Start_Date_Day == NULL), + Start_Date_Month INTEGER CHECK (Start_Date_Month <= 12 OR Start_Date_Month == NULL), + Start_Date_Year INTEGER NOT NULL CHECK (length(Start_Date_Year) == 4 OR Start_Date_Year == NULL), + End_Date_Day INTEGER CHECK (End_Date_Day <= 31 OR End_Date_Day == NULL), + End_Date_Month INTEGER CHECK (End_Date_Month <= 12 OR End_Date_Month == NULL), + End_Date_Year INTEGER NOT NULL CHECK (length(End_Date_Year) == 4), /* Numerical: Deaths */ - Total_Deaths_Min REAL CHECK (Total_Deaths_Min > 0), - Total_Deaths_Max REAL CHECK (Total_Deaths_Max > 0), - Total_Deaths_Approx INTEGER CHECK (Total_Deaths_Approx == 1 OR Total_Deaths_Approx == 0), /* COMMENT 'Boolean' */ + Total_Deaths_Min REAL CHECK (Total_Deaths_Min > 0 OR Total_Deaths_Min == NULL), + Total_Deaths_Max REAL CHECK (Total_Deaths_Max > 0 OR Total_Deaths_Max == NULL), + Total_Deaths_Approx INTEGER CHECK (Total_Deaths_Approx == 1 OR Total_Deaths_Approx == 0 OR Total_Deaths_Approx == NULL), /* COMMENT 'Boolean' */ /* Numerical: Injuries */ - Total_Injuries_Min REAL CHECK (Total_Injuries_Min > 0), - Total_Injuries_Max REAL CHECK (Total_Injuries_Max > 0), - Total_Injuries_Approx INTEGER CHECK (Total_Injuries_Approx == 1 OR Total_Injuries_Approx == 0), /* COMMENT 'Boolean' */ + Total_Injuries_Min REAL CHECK (Total_Injuries_Min > 0 OR Total_Injuries_Min == NULL), + Total_Injuries_Max REAL CHECK (Total_Injuries_Max > 0 OR Total_Injuries_Max == NULL), + Total_Injuries_Approx INTEGER CHECK (Total_Injuries_Approx == 1 OR Total_Injuries_Approx == 0 OR Total_Injuries_Approx == NULL), /* COMMENT 'Boolean' */ /* Numerical: Affected */ - Total_Affected_Min REAL CHECK (Total_Affected_Min > 0), - Total_Affected_Max REAL CHECK (Total_Affected_Max > 0), - Total_Affected_Approx INTEGER CHECK (Total_Affected_Approx == 1 OR Total_Affected_Approx == 0), /* COMMENT 'Boolean' */ + Total_Affected_Min REAL CHECK (Total_Affected_Min > 0 OR Total_Affected_Min == NULL), + Total_Affected_Max REAL CHECK (Total_Affected_Max > 0 OR Total_Affected_Max == NULL), + Total_Affected_Approx INTEGER CHECK (Total_Affected_Approx == 1 OR Total_Affected_Approx == 0 OR Total_Affected_Approx == NULL), /* COMMENT 'Boolean' */ /* Numerical: Displaced */ - Total_Displaced_Min REAL CHECK (Total_Displaced_Min > 0), - Total_Displaced_Max REAL CHECK (Total_Displaced_Max > 0), - Total_Displaced_Approx INTEGER CHECK (Total_Displaced_Approx == 1 OR Total_Displaced_Approx == 0), /* COMMENT 'Boolean' */ + Total_Displaced_Min REAL CHECK (Total_Displaced_Min > 0 OR Total_Displaced_Min == NULL), + Total_Displaced_Max REAL CHECK (Total_Displaced_Max > 0 OR Total_Displaced_Max == NULL), + Total_Displaced_Approx INTEGER CHECK (Total_Displaced_Approx == 1 OR Total_Displaced_Approx == 0 OR Total_Displaced_Approx == NULL), /* COMMENT 'Boolean' */ /* Numerical: Homeless */ - Total_Homeless_Min REAL CHECK (Total_Homeless_Min > 0), - Total_Homeless_Max REAL CHECK (Total_Homeless_Max > 0), - Total_Homeless_Approx INTEGER CHECK (Total_Homeless_Approx == 1 OR Total_Homeless_Approx == 0), /* COMMENT 'Boolean' */ + Total_Homeless_Min REAL CHECK (Total_Homeless_Min > 0 OR Total_Homeless_Min == NULL), + Total_Homeless_Max REAL CHECK (Total_Homeless_Max > 0 OR Total_Homeless_Max == NULL), + Total_Homeless_Approx INTEGER CHECK (Total_Homeless_Approx == 1 OR Total_Homeless_Approx == 0 OR Total_Homeless_Approx == NULL), /* COMMENT 'Boolean' */ /* Numerical: Buildings_Damaged */ - Total_Buildings_Damaged_Min REAL CHECK (Total_Buildings_Damaged_Min > 0), - Total_Buildings_Damaged_Max REAL CHECK (Total_Buildings_Damaged_Max > 0), - Total_Buildings_Damaged_Approx INTEGER CHECK (Total_Buildings_Damaged_Approx == 1 OR Total_Buildings_Damaged_Approx == 0), /* COMMENT 'Boolean' */ + Total_Buildings_Damaged_Min REAL CHECK (Total_Buildings_Damaged_Min > 0 OR Total_Buildings_Damaged_Min == NULL), + Total_Buildings_Damaged_Max REAL CHECK (Total_Buildings_Damaged_Max > 0 OR Total_Buildings_Damaged_Max == NULL), + Total_Buildings_Damaged_Approx INTEGER CHECK (Total_Buildings_Damaged_Approx == 1 OR Total_Buildings_Damaged_Approx == 0 OR Total_Buildings_Damaged_Approx == NULL), /* COMMENT 'Boolean' */ /* Monetary: Insured_Damage */ - Total_Insured_Damage_Min REAL CHECK (Total_Insured_Damage_Min > 0), - Total_Insured_Damage_Max REAL CHECK (Total_Insured_Damage_Max > 0), - Total_Insured_Damage_Approx INTEGER CHECK (Total_Insured_Damage_Approx == 1 OR Total_Insured_Damage_Approx == 0), /* COMMENT 'Boolean' */ - Total_Insured_Damage_Units TEXT, /* COMMENT 'currency' */ + Total_Insured_Damage_Min REAL CHECK (Total_Insured_Damage_Min > 0 OR Total_Insured_Damage_Min == NULL), + Total_Insured_Damage_Max REAL CHECK (Total_Insured_Damage_Max > 0 OR Total_Insured_Damage_Max == NULL), + Total_Insured_Damage_Approx INTEGER CHECK (Total_Insured_Damage_Approx == 1 OR Total_Insured_Damage_Approx == 0 OR Total_Insured_Damage_Approx == NULL), /* COMMENT 'Boolean' */ + Total_Insured_Damage_Unit TEXT, /* COMMENT 'currency' */ Total_Insured_Damage_Inflation_Adjusted INTEGER, /* COMMENT 'Boolean' */ Total_Insured_Damage_Inflation_Adjusted_Year INTEGER CHECK ( - length(Total_Insured_Damage_Inflation_Adjusted_Year) = 4 + length(Total_Insured_Damage_Inflation_Adjusted_Year) == 4 + OR Total_Insured_Damage_Inflation_Adjusted_Year == NULL ), /* Monetary: Damage */ - Total_Damage_Min REAL CHECK (Total_Damage_Min > 0), - Total_Damage_Max REAL CHECK (Total_Damage_Max > 0), - Total_Damage_Approx INTEGER CHECK (Total_Damage_Approx == 1 OR Total_Damage_Approx == 0), /* COMMENT 'Boolean' */ - Total_Damage_Units TEXT, /* COMMENT 'currency' */ + Total_Damage_Min REAL CHECK (Total_Damage_Min > 0 OR Total_Damage_Min == NULL), + Total_Damage_Max REAL CHECK (Total_Damage_Max > 0 OR Total_Damage_Max == NULL), + Total_Damage_Approx INTEGER CHECK (Total_Damage_Approx == 1 OR Total_Damage_Approx == 0 OR Total_Damage_Approx == NULL), /* COMMENT 'Boolean' */ + Total_Damage_Unit TEXT, /* COMMENT 'currency' */ Total_Damage_Inflation_Adjusted INTEGER, /* COMMENT 'Boolean' */ Total_Damage_Inflation_Adjusted_Year INTEGER CHECK ( - length(Total_Damage_Inflation_Adjusted_Year) = 4 + length(Total_Damage_Inflation_Adjusted_Year) == 4 + OR Total_Damage_Inflation_Adjusted_Year == NULL ), FOREIGN KEY(Event_ID) REFERENCES Total_Summary_Events(Event_ID) diff --git a/Database/schema/L2_schema_template.sql b/Database/schema/L2_schema_template.sql index fb64234ee..6c37b1636 100644 --- a/Database/schema/L2_schema_template.sql +++ b/Database/schema/L2_schema_template.sql @@ -1,45 +1,46 @@ CREATE TABLE Instance_Per_Administrative_Areas_type_numerical ( - Event_ID TEXT NOT NULL CHECK (length(Event_ID) = 7), /* COMMENT 'UID' */ + Event_ID TEXT NOT NULL CHECK (length(Event_ID) == 7), /* COMMENT 'UID' */ Administrative_Areas_Norm OBJECT NOT NULL, /* COMMENT 'Array' of TEXT/NULL */ Administrative_Areas_GID OBJECT, /* COMMENT 'Array' */ Administrative_Areas_Type OBJECT, /* COMMENT 'Array' of TEXT/NULL */ Administrative_Areas_GeoJson OBJECT, /* COMMENT 'Array' of GeoJson Objects or NULLs */ - Start_Date_Day INTEGER CHECK (Start_Date_Day <= 31), - Start_Date_Month INTEGER CHECK (Start_Date_Month <= 12), - Start_Date_Year INTEGER CHECK (length(Start_Date_Year) = 4), - End_Date_Day INTEGER CHECK (End_Date_Day <= 31), - End_Date_Month INTEGER CHECK (End_Date_Month <= 12), - End_Date_Year INTEGER CHECK (length(End_Date_Year) = 4), + Start_Date_Day INTEGER CHECK (Start_Date_Day <= 31 OR Start_Date_Day == NULL), + Start_Date_Month INTEGER CHECK (Start_Date_Month <= 12 OR Start_Date_Month == NULL), + Start_Date_Year INTEGER CHECK (length(Start_Date_Year) == 4 OR Start_Date_Year == NULL), + End_Date_Day INTEGER CHECK (End_Date_Day <= 31 OR End_Date_Day == NULL), + End_Date_Month INTEGER CHECK (End_Date_Month <= 12 OR End_Date_Month == NULL), + End_Date_Year INTEGER CHECK (length(End_Date_Year) == 4 OR End_Date_Year == NULL), - Num_Min REAL NOT NULL CHECK (Num_Min > 0), - Num_Max REAL NOT NULL CHECK (Num_Max > 0), + Num_Min REAL NOT NULL CHECK (Num_Min >= 0), + Num_Max REAL NOT NULL CHECK (Num_Max >= 0), Num_Approx INTEGER NOT NULL CHECK (Num_Approx == 1 OR Num_Approx == 0), /* COMMENT 'Boolean' */ FOREIGN KEY(Event_ID) REFERENCES Total_Summary_Events(Event_ID) ); CREATE TABLE Instance_Per_Administrative_Areas_type_monetary ( - Event_ID TEXT NOT NULL CHECK (length(Event_ID) = 7), /* COMMENT 'UID' */ + Event_ID TEXT NOT NULL CHECK (length(Event_ID) == 7), /* COMMENT 'UID' */ Administrative_Areas_Norm OBJECT NOT NULL, /* COMMENT 'Array' of TEXT/NULL */ Administrative_Areas_GID OBJECT, /* COMMENT 'Array' */ Administrative_Areas_Type OBJECT, /* COMMENT 'Array' of TEXT/NULL */ Administrative_Areas_GeoJson OBJECT, /* COMMENT 'Array' of GeoJson Objects or NULLs */ - Start_Date_Day INTEGER CHECK (Start_Date_Day <= 31), - Start_Date_Month INTEGER CHECK (Start_Date_Month <= 12), - Start_Date_Year INTEGER CHECK (length(Start_Date_Year) = 4), - End_Date_Day INTEGER CHECK (End_Date_Day <= 31), - End_Date_Month INTEGER CHECK (End_Date_Month <= 12), - End_Date_Year INTEGER CHECK (length(End_Date_Year) = 4), + Start_Date_Day INTEGER CHECK (Start_Date_Day <= 31 OR Start_Date_Day == NULL), + Start_Date_Month INTEGER CHECK (Start_Date_Month <= 12 OR Start_Date_Month == NULL), + Start_Date_Year INTEGER CHECK (length(Start_Date_Year) == 4 OR Start_Date_Year == NULL), + End_Date_Day INTEGER CHECK (End_Date_Day <= 31 OR End_Date_Day == NULL), + End_Date_Month INTEGER CHECK (End_Date_Month <= 12 OR End_Date_Month == NULL), + End_Date_Year INTEGER CHECK (length(End_Date_Year) == 4 OR End_Date_Year == NULL), - Num_Min REAL NOT NULL CHECK (Num_Min > 0), - Num_Max REAL NOT NULL CHECK (Num_Max > 0), + Num_Min REAL NOT NULL CHECK (Num_Min >= 0), + Num_Max REAL NOT NULL CHECK (Num_Max >= 0), Num_Approx INTEGER NOT NULL CHECK (Num_Approx == 1 OR Num_Approx == 0), /* COMMENT 'Boolean' */ - Num_Units TEXT NOT NULL, /* COMMENT 'currency' */ + Num_Unit TEXT NOT NULL, /* COMMENT 'currency' */ Num_Inflation_Adjusted INTEGER, /* COMMENT 'Boolean' */ Num_Inflation_Adjusted_Year INTEGER CHECK ( - length(Num_Inflation_Adjusted_Year) = 4 + length(Num_Inflation_Adjusted_Year) == 4 + OR Num_Inflation_Adjusted_Year == NULL ), FOREIGN KEY(Event_ID) REFERENCES Total_Summary_Events(Event_ID) diff --git a/Database/schema/L3_schema_template.sql b/Database/schema/L3_schema_template.sql index 943fd31bf..355193db8 100644 --- a/Database/schema/L3_schema_template.sql +++ b/Database/schema/L3_schema_template.sql @@ -1,5 +1,5 @@ CREATE TABLE Specific_Instance_Per_Administrative_Area_type_numerical ( - Event_ID TEXT NOT NULL CHECK (length(Event_ID) = 7), /* COMMENT 'UID' */ + Event_ID TEXT NOT NULL CHECK (length(Event_ID) == 7), /* COMMENT 'UID' */ Administrative_Area_Norm TEXT NOT NULL, Administrative_Area_GID TEXT, /* categorical */ @@ -11,22 +11,22 @@ CREATE TABLE Specific_Instance_Per_Administrative_Area_type_numerical ( Locations_Type OBJECT, /* COMMENT 'Array' of TEXT/NULL, categorical */ Locations_GeoJson OBJECT, /* COMMENT 'Array' of GeoJson Objects or NULLs */ - Start_Date_Day INTEGER CHECK (Start_Date_Day <= 31), - Start_Date_Month INTEGER CHECK (Start_Date_Month <= 12), - Start_Date_Year INTEGER CHECK (length(Start_Date_Year) = 4), - End_Date_Day INTEGER CHECK (End_Date_Day <= 31), - End_Date_Month INTEGER CHECK (End_Date_Month <= 12), - End_Date_Year INTEGER CHECK (length(End_Date_Year) = 4), + Start_Date_Day INTEGER CHECK (Start_Date_Day <= 31 OR Start_Date_Day == NULL), + Start_Date_Month INTEGER CHECK (Start_Date_Month <= 12 OR Start_Date_Month == NULL), + Start_Date_Year INTEGER CHECK (length(Start_Date_Year) == 4 OR Start_Date_Year == NULL), + End_Date_Day INTEGER CHECK (End_Date_Day <= 31 OR End_Date_Day == NULL), + End_Date_Month INTEGER CHECK (End_Date_Month <= 12 OR End_Date_Month == NULL), + End_Date_Year INTEGER CHECK (length(End_Date_Year) == 4 OR End_Date_Year == NULL), - Num_Min REAL CHECK (Num_Min > 0), - Num_Max REAL CHECK (Num_Max > 0), - Num_Approx INTEGER CHECK (Num_Approx == 1 OR Num_Approx == 0), /* COMMENT 'Boolean' */ + Num_Min REAL NOT NULL CHECK (Num_Min >= 0), + Num_Max REAL NOT NULL CHECK (Num_Max >= 0), + Num_Approx INTEGER NOT NULL CHECK (Num_Approx == 1 OR Num_Approx == 0 OR Num_Approx == NULL), /* COMMENT 'Boolean' */ FOREIGN KEY(Event_ID) REFERENCES Total_Summary_Events(Event_ID) ); CREATE TABLE Specific_Instance_Per_Administrative_Area_type_monetary ( - Event_ID TEXT NOT NULL CHECK (length(Event_ID) = 7), /* COMMENT 'UID' */ + Event_ID TEXT NOT NULL CHECK (length(Event_ID) == 7), /* COMMENT 'UID' */ Administrative_Area_Norm TEXT NOT NULL, Administrative_Area_GID TEXT, /* categorical */ @@ -38,20 +38,21 @@ CREATE TABLE Specific_Instance_Per_Administrative_Area_type_monetary ( Locations_Type OBJECT, /* COMMENT 'Array' of TEXT/NULL, categorical */ Locations_GeoJson OBJECT, /* COMMENT 'Array' of GeoJson Objects or NULLs */ - Start_Date_Day INTEGER CHECK (Start_Date_Day <= 31), - Start_Date_Month INTEGER CHECK (Start_Date_Month <= 12), - Start_Date_Year INTEGER NOT NULL CHECK (length(Start_Date_Year) = 4), - End_Date_Day INTEGER CHECK (End_Date_Day <= 31), - End_Date_Month INTEGER NOT NULL CHECK (End_Date_Month <= 12), - End_Date_Year INTEGER NOT NULL CHECK (length(End_Date_Year) = 4), - - Num_Min REAL NOT NULL CHECK (Num_Min > 0), - Num_Max REAL NOT NULL CHECK (Num_Max > 0), - Num_Approx INTEGER NOT NULL CHECK (Num_Approx == 1 OR Num_Approx == 0), /* COMMENT 'Boolean' */ - Num_Units TEXT NOT NULL, /* COMMENT 'currency' */ + Start_Date_Day INTEGER CHECK (Start_Date_Day <= 31 OR Start_Date_Day == NULL), + Start_Date_Month INTEGER CHECK (Start_Date_Month <= 12 OR Start_Date_Month == NULL), + Start_Date_Year INTEGER CHECK (length(Start_Date_Year) == 4 OR Start_Date_Year == NULL), + End_Date_Day INTEGER CHECK (End_Date_Day <= 31 OR End_Date_Day == NULL), + End_Date_Month INTEGER CHECK (End_Date_Month <= 12 OR End_Date_Month == NULL), + End_Date_Year INTEGER CHECK (length(End_Date_Year) == 4 OR End_Date_Year == NULL), + + Num_Min REAL NOT NULL CHECK (Num_Min >= 0), + Num_Max REAL NOT NULL CHECK (Num_Max >= 0), + Num_Approx INTEGER NOT NULL CHECK (Num_Approx == 1 OR Num_Approx == 0), /* COMMENT 'Boolean' */ + Num_Unit TEXT NOT NULL, /* COMMENT 'currency' */ Num_Inflation_Adjusted INTEGER, /* COMMENT 'Boolean' */ Num_Inflation_Adjusted_Year INTEGER CHECK ( - length(Num_Inflation_Adjusted_Year) = 4 + length(Num_Inflation_Adjusted_Year) == 4 + OR Num_Inflation_Adjusted_Year == NULL ), FOREIGN KEY(Event_ID) REFERENCES Total_Summary_Events(Event_ID) diff --git a/Database/schema/create_db.py b/Database/schema/create_db.py index 31a6ddc19..1e1dfcccd 100644 --- a/Database/schema/create_db.py +++ b/Database/schema/create_db.py @@ -44,15 +44,30 @@ def generate_db( for i in commands: if i: + logger.info(f"Executing DB command:\n{i}") try: - logger.info(f"Executing DB command:\n{i}") cursor.execute(i) except sqlite3.Error as err: logger.error(f"Could not create table. {type(err).__name__}: {err}") if __name__ == "__main__": - connection = sqlite3.connect("impact.v1.db") + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument( + "-db", + "--database", + dest="database", + default="impact.v1.db", + help="Path to sqlite database", + required=True, + type=str, + ) + + args = parser.parse_args() + parser = argparse.ArgumentParser() + connection = sqlite3.connect(args.database) cursor = connection.cursor() generate_db( l1_schema="Database/schema/L1_schema.sql", diff --git a/Database/schema/geojson_tbl.sql b/Database/schema/geojson_tbl.sql new file mode 100644 index 000000000..a1e97c291 --- /dev/null +++ b/Database/schema/geojson_tbl.sql @@ -0,0 +1,8 @@ + +CREATE TABLE GeoJson_Obj ( + nid TEXT PRIMARY KEY NOT NULL, /* COMMENT 'NID' */ + geojson_obj OBJECT NOT NULL /* GeoJson Object */ +); + + /* TODO: fix foreign key relations one-to-many with Administrative_Areas_GeoJson */ + /* FOREIGN KEY(nid) */ diff --git a/Database/schema/populate_geojson_table.py b/Database/schema/populate_geojson_table.py new file mode 100644 index 000000000..ee0afd3ad --- /dev/null +++ b/Database/schema/populate_geojson_table.py @@ -0,0 +1,98 @@ +import argparse +import json +import os +import sqlite3 + +import pandas as pd +from tqdm import tqdm + +from Database.scr.normalize_utils import Logging + +tqdm.pandas() + +logger = Logging.get_logger("create_geojson_tbl") + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument( + "-db", + "--database", + dest="database", + help="Path to sqlite database", + required=True, + type=str, + ) + + parser.add_argument( + "-tbl", + "--table_schema", + dest="table_schema", + help="Specify the table schema file", + required=True, + type=str, + ) + + parser.add_argument( + "-f", + "--file_path", + dest="file_path", + help="Path to .json files to be inserted", + required=True, + type=str, + ) + + args = parser.parse_args() + parser = argparse.ArgumentParser() + connection = sqlite3.connect(args.database) + cursor = connection.cursor() + + # create table if it does not exist (does not affect existing data) + with open(args.table_schema, "r") as f: + generate_database_command = f.read() + + commands = generate_database_command.split(";") + commands = [i for i in commands if i.strip()] + + for i in commands: + if i: + logger.info(f"Executing DB command:\n{i}") + try: + cursor.execute(i) + except sqlite3.Error as err: + logger.error(f"Could not create table. {type(err).__name__}: {err}") + + # insert files into database + files = [f"{args.file_path}/{x}" for x in os.listdir(args.file_path) if x.endswith(".json")] + filenames = [x.split(".json")[0].split("/")[-1] for x in files] + data = pd.DataFrame(columns=["nid", "geojson_obj"]) + + for i in tqdm(range(len(files))): + with open(files[i]) as f: + geojson_obj = json.dumps(json.load(f)) + binary_data = bytes(geojson_obj, "utf-8") + row = pd.DataFrame(data={"nid": filenames[i], "geojson_obj": binary_data}, index=[0]) + data = pd.concat( + [data, row], + ignore_index=True, + ) + errors = None + for i in tqdm(range(len(data))): + try: + data.iloc[i : i + 1].to_sql( + name="GeoJson_Obj", + con=connection, + if_exists="replace", + index=False, + ) + except sqlite3.IntegrityError as err: + logger.debug( + f"""Could not insert event for level {args.event_level}. Error {err}. + The problematic row will be stored in /tmp/ with the error. GeoJson columns will not be included.""" + ) + err_row = data.iloc[i : i + 1].copy() + err_row["ERROR"] = err + errors = pd.concat([errors, err_row], ignore_index=True) + + if errors: + logger.error(f"Insert errors:\n{errors['nid'].tolist()}") diff --git a/Database/scr/insert_main_events.py b/Database/scr/insert_main_events.py deleted file mode 100644 index 54c085cca..000000000 --- a/Database/scr/insert_main_events.py +++ /dev/null @@ -1,55 +0,0 @@ -import argparse -import sqlite3 - -import pandas as pd - -if __name__ == "__main__": - parser = argparse.ArgumentParser() - parser.add_argument( - "-m", - "--method", - dest="method", - default="append", - choices=["append", "replace"], - help="Choose whether to append data to the exisitng db or to replace it", - type=str, - ) - - parser.add_argument( - "-d", - "--data_path", - dest="data_path", - default="Database/output/dev", - help="The directory where .parquet files exist so they can be inserted into the db", - type=str, - ) - - parser.add_argument( - "-f", - "--filename", - dest="filename", - default="response_wiki_GPT4_20240327_eventNo_1_8_all_category.parquet", - help="The name of the parquet file in the directory", - type=str, - ) - - parser.add_argument( - "-db", - "--database_name", - dest="database_name", - default="impact.db", - help="The name of your database (followed by the extension name, such as ´.db´)", - type=str, - ) - - args = parser.parse_args() - data = pd.read_parquet(f"{args.data_path}/{args.filename}") - - connection = sqlite3.connect(args.database_name) - cursor = connection.cursor() - - # change if_exists to "append" to avoid overwriting the database - # choose "replace" to overwrite the database with a fresh copy of the data - data.to_sql("Total_Summary_Events", con=connection, if_exists=args.method, index=False) - - connection.close() diff --git a/Database/scr/insert_sub_events.py b/Database/scr/insert_sub_events.py deleted file mode 100644 index 8de018ae3..000000000 --- a/Database/scr/insert_sub_events.py +++ /dev/null @@ -1,67 +0,0 @@ -import argparse -import os -import sqlite3 - -import pandas as pd - -# TODO: adapt for inserting L2 and L3 -if __name__ == "__main__": - parser = argparse.ArgumentParser() - parser.add_argument( - "-m", - "--method", - dest="method", - default="append", - choices=["append", "replace"], - help="Choose whether to append data to the exisitng db or to replace it", - type=str, - ) - - parser.add_argument( - "-d", - "--data_path", - dest="data_path", - default="Database/output/dev", - help="""The directory where .parquet files exist so they can be inserted into the db. - IMPORTANT: Specific event files should start with a 'Specific_' prefix""", - type=str, - ) - - parser.add_argument( - "-f", - "--filename", - dest="filename", - help="The name of the parquet file in the directory", - type=str, - required=False, - ) - - parser.add_argument( - "-db", - "--database_name", - dest="database_name", - default="impact.db", - help="The name of your database (followed by the extension name, such as ´.db´)", - type=str, - ) - - args = parser.parse_args() - if args.filename: - sub_events = [args.filename] - else: - sub_events = [f for f in os.listdir(args.data_path) if (f.startswith("Specific_") and f.endswith(".parquet"))] - - connection = sqlite3.connect(args.database_name) - cursor = connection.cursor() - - for i in sub_events: - df = pd.read_parquet(f"{args.data_path}/{i}") - sub_event_name = i.split(".")[0] - # drop _annotation columns - annotation_columns = [col for col in df.columns if col.endswith("annotation")] - df = df.drop(columns=annotation_columns) - # change if_exists to "append" to avoid overwriting the database - # choose "replace" to overwrite the database with a fresh copy of the data - df.to_sql(sub_event_name, con=connection, if_exists=args.method, index=False) - - connection.close() diff --git a/Database/scr/normalize_locations.py b/Database/scr/normalize_locations.py index 68f33a08b..87f7434f7 100644 --- a/Database/scr/normalize_locations.py +++ b/Database/scr/normalize_locations.py @@ -2,23 +2,24 @@ import json import re from functools import cache +from time import sleep import pandas as pd import pycountry import requests_cache -from geopy.extra.rate_limiter import RateLimiter from geopy.geocoders import Nominatim from .log_utils import Logging class NormalizeLocation: - def __init__(self, gadm_path: str, unsd_path: str, rate_limiter: bool = True): - requests_cache.install_cache("Database/data/geopy_cache", filter_fn=self._debug) - + def __init__(self, gadm_path: str, unsd_path: str): + self.geopy_cache_path = "Database/data/geopy_cache" + requests_cache.install_cache( + self.geopy_cache_path, allowable_methods=["GET"], allowable_codes=[200], filter_fn=self._rate_limiter + ) geolocator = Nominatim(user_agent="wikimpacts - impactdb; beta. Github: VUB-HYDR/Wikimpacts") - self.geocode = geolocator.geocode # RateLimiter(geolocator.geocode, min_delay_seconds=1) - self.geocode = geolocator.geocode if not rate_limiter else RateLimiter(geolocator.geocode, min_delay_seconds=1) + self.geocode = geolocator.geocode self.gadm = pd.read_csv(gadm_path, sep=None, engine="python") self.unsd = pd.read_csv(unsd_path, sep=None, engine="python") @@ -26,7 +27,7 @@ def __init__(self, gadm_path: str, unsd_path: str, rate_limiter: bool = True): if "Code" not in col: self.unsd[col] = self.unsd[col].apply(lambda s: s.lower() if type(s) == str else s) - self.logger = Logging.get_logger("normalize_locations") + self.logger = Logging.get_logger("normalize_locations", level="INFO") self.logger.info("Installed GeoPy cache") # frequently used literals ( @@ -94,10 +95,6 @@ def __init__(self, gadm_path: str, unsd_path: str, rate_limiter: bool = True): self.cardinals = ["north", "south", "east", "west"] self.cardinals.extend(f"{i}ern" for i in ["north", "south", "east", "west"]) - @staticmethod - def uninstall_cache(): - requests_cache.uninstall_cache() - def _clean_cardinal_directions(self, area: str) -> tuple[str, list[str]]: area = area.split() output = [i.strip() for i in area if i.lower().strip() not in self.cardinals] @@ -127,7 +124,6 @@ def geocode_api_request( self.logger.error(f"API call unsuccessful. Error message: {err}") return [] - @cache def normalize_locations( self, area: str, is_country: bool = False, in_country: str = None ) -> tuple[str, str, dict] | None: @@ -214,6 +210,20 @@ def normalize_locations( else: cardinals = None + # if results fail again, clean out additional parts of a location name (like "county" or "city") + if not l: + alt_name = re.sub( + r"(county)|(city)|(prefecture)|(district)|(city of)|(region)", "", area, flags=re.IGNORECASE + ).strip() + l = self.geocode_api_request( + alt_name, + exactly_one=False, + namedetails=True, + geometry="geojson", + extratags=True, + country_codes=country_codes, + ) + # if results fail again, get results for each possible segment and sort by rank without country restraints if not l: l = [] @@ -502,6 +512,14 @@ def extract_locations( except BaseException: return [], [] - def _debug(self, response): + def _rate_limiter( + self, + response, + ): self.logger.debug(type(response)) + if type(response) == requests_cache.models.response.CachedResponse: + self.logger.debug("Response cached!") + else: + self.logger.debug(f"Ratelimiting by 1 second. Response type: {type(response)}") + sleep(1) return True diff --git a/Database/scr/normalize_utils.py b/Database/scr/normalize_utils.py index 12c196da2..537cc8b9e 100644 --- a/Database/scr/normalize_utils.py +++ b/Database/scr/normalize_utils.py @@ -1,6 +1,7 @@ import ast import json import os +import pathlib import re from typing import Tuple, Union @@ -10,6 +11,7 @@ from dateparser.date import DateDataParser from dateparser.search import search_dates from spacy import language as spacy_language +from unidecode import unidecode from .log_utils import Logging from .normalize_numbers import NormalizeNumber @@ -103,9 +105,12 @@ def unpack_col(df: pd.DataFrame, columns: list = []) -> pd.DataFrame: """Unpacks Total_Summary_* columns""" for c in columns: json_normalized_df = pd.json_normalize(df[c]) - json_normalized_df = json_normalized_df[ - [x for x in json_normalized_df.columns if not x.startswith("Specific_")] - ] + cat = c.split("Total_Summary_")[1] + bad_columns = [x for x in json_normalized_df.columns if not x.startswith(f"Total_{cat}")] + for bad_col_name in bad_columns: + fix_col_name = f"Total_{cat}_{bad_col_name}" + json_normalized_df.rename(columns={bad_col_name: fix_col_name}, inplace=True) + df = pd.concat([json_normalized_df, df], axis=1) df.drop(columns=[c], inplace=True) return df @@ -130,11 +135,17 @@ def eval(self, x: list | str): @staticmethod def simple_country_check(c: str): try: - exists = pycountry.countries.get(name=c) - if exists: - return True + exists = pycountry.countries.search_fuzzy(c)[0].official_name except: - return False + try: + exists = pycountry.countries.search_fuzzy(c)[0].name + except: + try: + exists = pycountry.historic_countries.search_fuzzy(c)[0].name + except: + # TODO: fuzzy-match from GADM + return False + return True if exists else False class NormalizeJsonOutput: @@ -293,7 +304,7 @@ def save_json( "Specific_Instance_Per_Country_Death", "Total_Summary_Damage", "Total_Damage", - "Total_Damage_Units", + "Total_Damage_Unit", "Total_Damage_Inflation_Adjusted", "Total_Damage_Inflation_Adjusted_Year", ], @@ -412,3 +423,104 @@ def normalize_lists_of_num(self, json_file_path: str, output_file_path: str, loc json.dump(output_json, fp) self.logger.info(f"Stored output in {output_file_path}") + +class GeoJsonUtils: + def __init__(self, nid_path: str = "/tmp/geojson") -> None: + self.logger = Logging.get_logger("normalize-utils-json", level="DEBUG") + self.logger.info(f"Loading nids from {nid_path}") + self.nid_path = f"{nid_path}/geojson" + self.non_english_nids_path = f"{nid_path}/non-english-locations.csv" + self.non_english_nids_columns = ["location_name", "nid"] + pathlib.Path(self.nid_path).mkdir(parents=True, exist_ok=True) + self.nid_list = self.update_nid_list() + try: + self.non_english_nids_df = pd.read_csv( + self.non_english_nids_path, + sep=",", + ) + except BaseException as err: + self.non_english_nids_df = pd.DataFrame(columns=self.non_english_nids_columns) + self.logger.debug(f"Could not load nids csv. Error: {err}") + + def update_nid_list(self) -> None: + self.nid_list = os.listdir(self.nid_path) + self.logger.debug(f"Found {len(self.nid_list)} nids in {self.nid_path}") + if not self.nid_list: + self.logger.warning( + f"Could not load nids! Directory may be empty. Using the empty directory {self.nid_path}" + ) + self.nid_list = [] + + def random_nid(self, length: int = 5) -> str: + """Generates a short lowercase UID""" + return shortuuid.ShortUUID().random(length=length) + + def generate_nid(self, text: str) -> tuple[str, None]: + nid = None + try: + assert text + text = unidecode(text) + text.encode(encoding="utf-8").decode("ascii") + nid = text + except AssertionError as err: + self.logger.error(f"`{text}` not valid: {type(text)}. Error: {err}") + except UnicodeDecodeError as err: + self.logger.error(f"`{text}` could not be decoded to ascii. Error: {err}") + + if not nid: + if text in self.non_english_nids_df["location_name"]: + nid = self.non_english_nids_df[self.non_english_nids_df["location_name"] == text].tolist()[-1] + else: + nid = self.random_nid(length=12) + self.non_english_nids_df = pd.concat( + [ + self.non_english_nids_df, + pd.DataFrame([[nid, text]], columns=self.non_english_nids_columns), + ], + ignore_index=True, + ) + return re.sub("\W|^(?=\d)", "-", nid.lower()) + + def store_non_english_nids(self) -> None: + self.logger.info(f"Storing non english location names and their generated nids to {self.non_english_nids_path}") + self.non_english_nids_df.to_csv(self.non_english_nids_path, sep=",", index=False, mode="w") + + def check_duplicate(self, nid: str, obj: json) -> tuple[str, bool]: + nid_path = f"{self.nid_path}/{nid}" + self.update_nid_list() + + if nid_path in self.nid_list or nid in self.non_english_nids_df["location_name"].tolist(): + try: + assert obj == json.load(nid_path) + return nid, True + except AssertionError as err: + self.logger.error(f"Duplicate name but different content for {nid_path}") + self.logger.debug(f"Error: {err}") + alt_nid = self.generate_nid(f"{nid}-{self.random_nid(5)}" if nid else self.random_nid(length=12)) + return alt_nid, False + return nid, False + + def geojson_to_file(self, geojson_obj: str, area_name: str) -> str: + """Checks if a GeoJson object is stored by a specific nid. Handles three cases: + - If the nid and file content match, nothing is written to file. + - If the there is no record of the nid in self.nid_path, a new file is written. + + # the last one would reveal problems with this approach, but gotta test first to see + - If the nid matches a file name but the content is different, create an extended nid name and store it. + + Returns the nid used to store to file + """ + if not area_name or not geojson_obj: + return None + + nid = self.generate_nid(area_name) + try: + geojson_obj = ast.literal_eval(geojson_obj) + nid, dup = self.check_duplicate(nid, geojson_obj) + if not dup: + with open(f"{self.nid_path}/{nid}.json", "w") as f: + json.dump(geojson_obj, f) + except BaseException as err: + self.logger.debug(f"Could not process GeoJson to file. Error: {err}") + return None + return nid diff --git a/Evaluation/comparer.py b/Evaluation/comparer.py index 00aa7a8fb..11326ebec 100644 --- a/Evaluation/comparer.py +++ b/Evaluation/comparer.py @@ -11,6 +11,47 @@ def __init__(self, null_penalty: bool, target_columns: list[str]): self.norm = Normaliser() self.target_columns = target_columns + # Strings + string_cols = [ + "Main_Event", + "Event_ID", + "Administrative_Area_Norm", + "Country_Norm", + "Location_Norm", + "Event_Name", + ] + string_cols.extend([x for x in self.target_columns if "_Unit" in x]) + self.string_columns: list = self.target_col(string_cols) + + # Sequences + self.sequence_columns: list = self.target_col( + ["Administrative_Areas_Norm", "Locations_Norm", "Event_Names", "Hazards"] + ) + + # Dates + self.date_columns: list = self.target_col([]) + + # Integers + # Dates and all _Min/_Max values for the numerical and monetary impact types and all inflation adjustment years + self.integer_columns: list = self.target_col( + [ + k + for k in [ + x + for x in self.target_columns + if "_Date_" in x + or x.endswith("_Min") + or x.endswith("_Max") + or x.endswith("_Inflation_Adjusted_Year") + ] + ] + ) + + # Booleans + self.boolean_columns: list = [ + k for k in self.target_col([x for x in self.target_columns if x.endswith("_Inflation_Adjusted")]) + ] + def target_col(self, l) -> list: """Returns a list of columns if they are in the set of specified target columns""" return list(set(l) & set(self.target_columns)) @@ -63,60 +104,24 @@ def all(self, v, w): """Compare all fields.""" score = {} # Strings - for k in self.target_col(["Main_Event", "Event_ID", "Event_Name", "Total_Damage_Units"]): + for k in self.string_columns: score[k] = self.string(v[k], w[k]) # Sequences - for k in self.target_col(["Country_Norm"]): + for k in self.sequence_columns: score[k] = self.sequence(v[k], w[k]) # Dates - for k in []: + for k in self.date_columns: score[k] = self.date(v[k], w[k]) # Integers - for k in self.target_col( - [ - "Total_Deaths_Min", - "Total_Deaths_Max", - "Start_Date_Day", - "Start_Date_Month", - "Start_Date_Year", - "End_Date_Day", - "End_Date_Month", - "End_Date_Year", - "Total_Damage_Min", - "Total_Damage_Max", - "Total_Homeless_Min", - "Total_Homeless_Max", - # Injuries - "Total_Injuries_Max", - "Total_Injuries_Min", - # Buildings_Damage - "Total_Buildings_Min", - "Total_Buildings_Max", - # Affected - "Total_Affected_Min", - "Total_Affected_Max", - # Homeless - "Total_Damage_Units", - "Total_Damage_Inflation_Adjusted", - "Total_Damage_Inflation_Adjusted_Year", - # Insured Damage - "Total_Insured_Damage_Min", - "Total_Insured_Damage_Max", - "Total_Insured_Damage_Units", - "Total_Insured_Damage_Inflation_Adjusted", - "Total_Insured_Damage_Inflation_Adjusted_Year", - # Displace - "Total_Displace_Min", - "Total_Displace_Max", - ] - ): + # Dates and all _Min/_Max values for the numerical and monetary impact types and all inflation adjustment years + for k in self.integer_columns: score[k] = self.integer(v[k], w[k]) # Booleans - for k in self.target_col([]): + for k in self.boolean_columns: score[k] = self.boolean(v[k], w[k]) # Return score dictionary after ordering by target columns order diff --git a/Evaluation/evaluate_full_run.sh b/Evaluation/evaluate_full_run.sh new file mode 100644 index 000000000..73bbb6194 --- /dev/null +++ b/Evaluation/evaluate_full_run.sh @@ -0,0 +1,132 @@ +#!/usr/bin/env bash + +################## +# This bash script evaluates all event levels (l1, l2, and l3) in one go +# The goldFileDir and sysFileDir must exist in a certain tree format as shown below: + +# GOLD FILE DIR +# ├── l1 +# │ └── Total_Summary.parquet +# ├── l2 +# │ ├── Instance_Per_Administrative_Areas_Affected.parquet +# │ ├── Instance_Per_Administrative_Areas_Buildings_Damaged.parquet +# │ ├── Instance_Per_Administrative_Areas_Damage.parquet +# │ ├── Instance_Per_Administrative_Areas_Deaths.parquet +# │ ├── Instance_Per_Administrative_Areas_Displaced.parquet +# │ ├── Instance_Per_Administrative_Areas_Homeless.parquet +# │ └── Instance_Per_Administrative_Areas_Injuries.parquet +# └── l3 +# ├── Specific_Instance_Per_Administrative_Area_Affected.parquet +# ├── Specific_Instance_Per_Administrative_Area_Buildings_Damaged.parquet +# ├── Specific_Instance_Per_Administrative_Area_Damage.parquet +# ├── Specific_Instance_Per_Administrative_Area_Deaths.parquet +# ├── Specific_Instance_Per_Administrative_Area_Displaced.parquet +# ├── Specific_Instance_Per_Administrative_Area_Homeless.parquet +# ├── Specific_Instance_Per_Administrative_Area_Injuries.parquet +# └── Specific_Instance_Per_Administrative_Area_Insured_Damage.parquet +# +# SYS FILE DIR +# . +# ├── l1 +# │ └── 0000.parquet +# ├── l2 +# │ ├── Instance_Per_Administrative_Areas_Affected +# │ │ ├── 0000.parquet +# │ │ ├── 0001.parquet +# │ │ ├── ... +# │ │ └── 0034.parquet +# │ ├── Instance_Per_Administrative_Areas_Buildings_Damaged +# │ │ └── 0000.parquet +# │ ├── Instance_Per_Administrative_Areas_Displaced +# │ │ ├── 0000.parquet +# │ │ ├── 0001.parquet +# │ │ ├── ... +# │ │ └── 0201.parquet +# │ └── Instance_Per_Administrative_Areas_Damage +# │ ├── 0000.parquet +# │ ├── 0001.parquet +# │ ├── ... +# │ └── 0345.parquet +# └── l3 +# ├── Specific_Instance_Per_Administrative_Area_Affected +# │ ├── 0000.parquet +# │ └── 0001.parquet +# ├── Specific_Instance_Per_Administrative_Area_Buildings_Damaged +# │ ├── 0000.parquet +# │ ├── 0001.parquet +# │ └── 0002.parquet +# ├── Specific_Instance_Per_Administrative_Area_Deaths +# │ ├── 0000.parquet +# │ ├── 0001.parquet +# │ ├── ... +# │ └── 0103.parquet +# └── Specific_Instance_Per_Administrative_Area_Injuries +# └── 0000.parquet +# +################### + +levels=("l1" "l2" "l3") +monetary_impacts=("Damage" "Insured_Damage") +numerical_impacts=("Deaths" "Injuries" "Affected" "Buildings_Damaged" "Homeless" "Displaced") +goldFileDir=${1} +sysFileDir=${2} +dataSplit=${3} + +echo Gold Directory: ${goldFileDir} +echo System Output Directory: ${sysFileDir} + +for lvl in "${levels[@]}"; do + if [[ ${lvl} == "l1" ]]; then + echo Evaluating ${lvl} + poetry run python3 Evaluation/evaluator.py \ + --sys_output ${sysFileDir}/${dataSplit}/${lvl} \ + --gold_set ${goldFileDir}/${dataSplit}/${lvl} \ + --model_name essd/${dataSplit}/${lvl} \ + --null_penalty 1 \ + --score all \ + --weights_config ESSD_2024_${lvl} \ + --event_level ${lvl} + + + else + for filePath in ${goldFileDir}/${dataSplit}/${lvl}/*; do + echo Evaluating ${lvl} + for mi in "${monetary_impacts[@]}"; do + if [[ ${lvl} == "l2" ]]; then + targetImpact=Instance_Per_Administrative_Areas_${mi} + else + targetImpact=Specific_Instance_Per_Administrative_Area_${mi} + fi + echo Skipping impact ${targetImpact} + # TODO: implement this after fixing evalution of monetary impact categories + # poetry run python3 Evaluation/evaluator.py \ + # --sys_output ${sysFileDir}/${dataSplit}/${lvl}/${targetImpact} \ + # --gold_set ${goldFileDir}/${dataSplit}/${lvl}/${targetImpact}.parquet \ + # --model_name essd/${dataSplit}/${lvl} \ + # --null_penalty 1 \ + # --score all \ + # --weights_config ESSD_2024_${lvl}_monetary \ + # --event_level ${lvl} \ + # --impact_type ${targetImpact} + done + for ni in "${numerical_impacts[@]}"; do + if [[ ${lvl} == "l2" ]]; then + targetImpact=Instance_Per_Administrative_Areas_${ni} + else + targetImpact=Specific_Instance_Per_Administrative_Area_${ni} + fi + + echo Evaluating impact ${targetImpact} + poetry run python3 Evaluation/evaluator.py \ + --sys_output ${sysFileDir}/${dataSplit}/${lvl}/${targetImpact} \ + --gold_set ${goldFileDir}/${dataSplit}/${lvl}/${targetImpact}.parquet \ + --model_name essd/${dataSplit}/${lvl} \ + --null_penalty 1 \ + --score all \ + --weights_config ESSD_2024_${lvl}_numerical \ + --event_level ${lvl} \ + --impact_type ${targetImpact} + done + done + fi +done diff --git a/Evaluation/evaluator.py b/Evaluation/evaluator.py index 3b19f6e5c..f70d0b085 100644 --- a/Evaluation/evaluator.py +++ b/Evaluation/evaluator.py @@ -2,9 +2,8 @@ import ast import json import pathlib -from pprint import pformat, pprint +from pprint import pformat -import numpy as np import pandas as pd from Evaluation.comparer import Comparer @@ -18,23 +17,23 @@ parser = argparse.ArgumentParser() parser.add_argument( "-sys", - "--sys-file", - dest="sys_set_filepath", + "--sys_output", + dest="system_output", help="The full path to the system output in parquet", type=str, ) parser.add_argument( "-gold", - "--gold-file", - dest="gold_set_filepath", + "--gold_set", + dest="gold_set", help="The full path to the gold set in parquet", type=str, ) parser.add_argument( "-m", - "--model-name", + "--model_name", dest="model_name", help="A model name to store the results", type=str, @@ -42,11 +41,11 @@ parser.add_argument( "-null", - "--null-penalty", + "--null_penalty", dest="null_penalty", default=1, help="Null penalty, defaults to 1", - type=int, + type=float, ) parser.add_argument( @@ -70,20 +69,20 @@ ) parser.add_argument( - "-t", - "--event_type", - dest="event_type", - default="main", - choices=["main", "sub"], + "-lvl", + "--event_level", + dest="event_level", + choices=["l1", "l2", "l3"], help="Choose which events to parse. Possible values: main or sub", type=str, + required=True, ) parser.add_argument( "-si", - "--specific_instance_type", - dest="specific_instance_type", - default="specific_instance", + "--impact_type", + dest="impact_type", + default="deaths", help="""Supply the specific instance type/category (example: 'deaths', 'insurance_damage') to store matched specific instances for gold and sys""", type=str, @@ -98,19 +97,29 @@ matcher = SpecificInstanceMatcher() - gold = pd.read_parquet(args.gold_set_filepath, engine="fastparquet").replace( - {np.nan: None, "NULL ": None, "NULL": None} + gold = pd.read_parquet(args.gold_set, engine="fastparquet").replace( + {float("nan"): None, "NULL ": None, "NULL": None} ) - sys = pd.read_parquet(args.sys_set_filepath, engine="fastparquet").replace( - {np.nan: None, "NULL ": None, "NULL": None} + sys_f = pathlib.Path(args.system_output) + if sys_f.is_dir(): + logger.info( + f"The provided system output path is to a directory `{args.system_output}`. If .parquet files are present, they will be pulled and concatenated into a single file." + ) + logger.info(f"Files in {args.system_output}: {list(sys_f.iterdir())}") + + sys = pd.read_parquet(args.system_output, engine="fastparquet").replace( + {float("nan"): None, "NULL ": None, "NULL": None} ) - if args.event_type == "sub": - logger.info("Pairing up specific instances ('sub-events')") + admin_area_columns = ["Administrative_Area_Norm", "Administrative_Areas_Norm", "Country_Norm"] + location_columns = ["Location_Norm", "Locations_Norm"] + any_area_columns = admin_area_columns + location_columns + + if args.event_level in ["l2", "l3"]: + logger.info(f"Pairing up {args.event_level} events") event_ids = set(list(gold.Event_ID.unique()) + list(sys.Event_ID.unique())) si_gold, si_sys = [], [] - for gold_list, sys_list in zip( [ gold[gold.Event_ID == e_id][weights_dict[args.weights_config].keys()].to_dict(orient="records") @@ -131,18 +140,17 @@ ) exit() - gold, sys = pd.DataFrame(si_gold).replace({np.nan: None, "NULL ": None, "NULL": None}), pd.DataFrame( + gold, sys = pd.DataFrame(si_gold).replace({float("nan"): None, "NULL ": None, "NULL": None}), pd.DataFrame( si_sys - ).replace({np.nan: None, "NULL ": None, "NULL": None}) + ).replace({float("nan"): None, "NULL ": None, "NULL": None}) - gold.to_parquet(f"{output_dir}/gold_{args.specific_instance_type}.parquet") - sys.to_parquet(f"{output_dir}/sys_{args.specific_instance_type}.parquet") + gold.to_parquet(f"{output_dir}/gold_{args.impact_type}.parquet") + sys.to_parquet(f"{output_dir}/sys_{args.impact_type}.parquet") - if args.event_type == "main": + elif args.event_level in ["l1"]: logger.info("Only including events in the gold file!") sys = sys[sys.Event_ID.isin(gold["Event_ID"].to_list())] - - logger.info(f"The following events exist in gold: {pprint(list(gold['Event_ID'].unique()), indent=10)}") + logger.info(f"The following events exist in gold:\n{pformat(gold['Event_ID'].unique())}") if args.score in ("wikipedia", "artemis"): # get article from source @@ -169,8 +177,8 @@ logger.info(f"Evaluation limited to {sys.shape} events from source {args.score}") - if args.event_type == "main": - # Add dummy rows for missing events (for main event evaluation only) + if args.event_level in "l1": + # Add dummy rows for missing events (for l1 event evaluation only) missing_ids = set(sys["Event_ID"].to_list()) ^ set(gold["Event_ID"].to_list()) if missing_ids: logger.info( @@ -179,9 +187,9 @@ gold_cols = list(gold.columns) rows_to_add = [] for event_id in missing_ids: - # Create a dictionary for the new row with all columns set to "" except Country_Norm which excepts a list + # Create a dictionary for the new row with all columns set to "" except Administrative_AreaNorm which excepts a list new_row = {col: None for col in gold_cols} - for col in ["Country_Norm", "Location_Norm"]: + for col in any_area_columns: if col in gold_cols: new_row[col] = "[]" new_row["Event_ID"] = event_id # Set the 'Event_ID' @@ -189,7 +197,7 @@ missing_rows = pd.DataFrame(rows_to_add) sys = pd.concat([sys, missing_rows], ignore_index=True).sort_values("Event_ID") - sys.replace({np.nan: None}, inplace=True) + sys.replace({float("nan"): None}, inplace=True) # Specify null penalty null_penalty = args.null_penalty @@ -209,12 +217,12 @@ comp = Comparer(null_penalty, target_columns=weights.keys()) logger.info(f"Target columns: {comp.target_columns}") - if args.event_type == "main": + if args.event_level == "l1": # sort by "Event_ID" only for main event evaluation sys = sys.sort_values("Event_ID") gold = gold.sort_values("Event_ID") - list_type_cols = ["Country_Norm", "Location_Norm"] if args.event_type == "main" else ["Location_Norm"] + list_type_cols = [x for x in any_area_columns if "Areas_" in x or "Locations_" in x] for col in list_type_cols: if col in sys.columns: sys[col] = sys[col].apply(lambda x: ast.literal_eval(x) if isinstance(x, str) else x) @@ -242,35 +250,35 @@ all_comps = pd.DataFrame( [[i, j, c, d] + list(a.values()) for [i, j, (c, d), a] in comps], columns=["Event_ID1", "Event_ID2", "Coverage", "Weighted_Score"] + list(weights.keys()), - ).replace({np.nan: None}) + ).replace({float("nan"): None}) all_comps.sort_values("Weighted_Score") - if args.event_type == "main": - all_comps.to_csv(f"{output_dir}/{args.score}_{len(sys_data)}_results.csv", index=False) - elif args.event_type == "sub": + if args.event_level == "l1": + all_comps.to_csv(f"{output_dir}/{args.event_level}_{args.score}_{len(sys_data)}_results.csv", index=False) + elif args.event_level in ["l2", "l3"]: all_comps.to_csv( - f"{output_dir}/{args.score}_{len(sys_data)}_{args.specific_instance_type}_results.csv", index=False + f"{output_dir}/{args.event_level}_{args.score}_{len(sys_data)}_{args.impact_type}_results.csv", index=False ) averages = {} for i in all_comps.columns: if not i.startswith("Event_ID"): averages[i] = all_comps.loc[:, i].mean() - if args.event_type == "main": - avg_result_filename = f"{output_dir}/{args.score}_{len(sys_data)}_avg_results.json" - elif args.event_type == "sub": + if args.event_level == "l1": + avg_result_filename = f"{output_dir}/{args.event_level}_{args.score}_{len(sys_data)}_avg_results.json" + elif args.event_level in ["l2", "l3"]: avg_result_filename = ( - f"{output_dir}/{args.score}_{len(sys_data)}_{args.specific_instance_type}_avg_results.json" + f"{output_dir}/{args.event_level}_{args.score}_{len(sys_data)}_{args.impact_type}_avg_results.json" ) with open(avg_result_filename, "w") as f: - json.dump(averages, f) + json.dump(averages, f, indent=3) # get average per event_ID when evaluating specific instances - if args.event_type == "sub": + if args.event_level in ["l2", "l3"]: all_comps["Event_ID"] = all_comps["Event_ID1"].apply(lambda x: x.split("-")[0]) all_comps.groupby("Event_ID")[[c for c in all_comps.columns if not c.startswith("Event_ID")]].mean().to_csv( - f"{output_dir}/{args.score}_{len(sys_data)}_{args.specific_instance_type}_avg_per_event_id_results.csv", + f"{output_dir}/{args.event_level}_{args.score}_{len(sys_data)}_{args.impact_type}_avg_per_event_id_results.csv", index=False, ) diff --git a/Evaluation/weights.py b/Evaluation/weights.py index b76df4ff6..71333ed4b 100644 --- a/Evaluation/weights.py +++ b/Evaluation/weights.py @@ -1,38 +1,39 @@ -weights = { - "all_columns": { - "Event_ID": 1, +default_weights = { + "l1": { + "Event_ID": 0, "Main_Event": 1, - "Event_Name": 0, + "Event_Names": 0, + "Hazards": 1, # Deaths "Total_Deaths_Min": 1, "Total_Deaths_Max": 1, # Injuries "Total_Injuries_Max": 1, "Total_Injuries_Min": 1, - # Buildings_Damage - "Total_Buildings_Min": 1, - "Total_Buildings_Max": 1, + # Buildings Damaged + "Total_Buildings_Damaged_Min": 1, + "Total_Buildings_Damaged_Max": 1, # Affected "Total_Affected_Min": 1, "Total_Affected_Max": 1, # Homeless "Total_Homeless_Min": 1, "Total_Homeless_Max": 1, - # Displace - "Total_Displace_Min": 1, - "Total_Displace_Max": 1, + # Displaced + "Total_Displaced_Min": 1, + "Total_Displaced_Max": 1, # Damage - "Total_Damage_Min": 1, - "Total_Damage_Max": 1, - "Total_Damage_Units": 1, - "Total_Damage_Inflation_Adjusted": 1, - "Total_Damage_Inflation_Adjusted_Year": 1, + # "Total_Damage_Min": 1, + # "Total_Damage_Max": 1, + # "Total_Damage_Unit": 1, + # "Total_Damage_Inflation_Adjusted": 1, + # "Total_Damage_Inflation_Adjusted_Year": 1, # Insured Damage - "Total_Insured_Damage_Min": 1, - "Total_Insured_Damage_Max": 1, - "Total_Insured_Damage_Units": 1, - "Total_Insured_Damage_Inflation_Adjusted": 1, - "Total_Insured_Damage_Inflation_Adjusted_Year": 1, + # "Total_Insured_Damage_Min": 1, + # "Total_Insured_Damage_Max": 1, + # "Total_Insured_Damage_Unit": 1, + # "Total_Insured_Damage_Inflation_Adjusted": 1, + # "Total_Insured_Damage_Inflation_Adjusted_Year": 1, # Date "Start_Date_Day": 1, "Start_Date_Month": 1, @@ -40,76 +41,110 @@ "End_Date_Day": 1, "End_Date_Month": 1, "End_Date_Year": 1, - # Location - "Country_Norm": 1, - "Location_Norm": 1, + # Area + "Administrative_Areas_Norm": 1, # list }, - "nlp4climate": { - "Event_ID": 1, - "Main_Event": 1, - "Event_Name": 0, - "Total_Deaths_Min": 1, - "Total_Deaths_Max": 1, - "Total_Damage_Min": 1, - "Total_Damage_Max": 1, - "Total_Damage_Units": 1, + "l2_monetary": { + "Event_ID": 0, + # "Hazards": 1, + # Date "Start_Date_Day": 1, "Start_Date_Month": 1, "Start_Date_Year": 1, "End_Date_Day": 1, "End_Date_Month": 1, "End_Date_Year": 1, - "Country_Norm": 1, + # Area + # "Administrative_Areas_Norm": 1, # list + # Impact + "Num_Min": 1, + "Num_Max": 1, + "Num_Unit": 1, + "Num_Inflation_Adjusted": 1, + "Num_Inflation_Adjusted_Year": 1, }, - "Homeless": { - # Homeless + "l2_numerical": { "Event_ID": 0, - "Total_Homeless_Min": 1, - "Total_Homeless_Max": 1, + # "Hazards": 1, + # Date + "Start_Date_Day": 1, + "Start_Date_Month": 1, + "Start_Date_Year": 1, + "End_Date_Day": 1, + "End_Date_Month": 1, + "End_Date_Year": 1, + # Area + # "Administrative_Areas_Norm": 1, # list + # Impact + "Num_Min": 1, + "Num_Max": 1, }, - "ESSD_2024": { + "l3_monetary": { + "Event_ID": 0, + # "Hazards": 1, + # Date + "Start_Date_Day": 1, + "Start_Date_Month": 1, + "Start_Date_Year": 1, + "End_Date_Day": 1, + "End_Date_Month": 1, + "End_Date_Year": 1, + # Area + # "Administrative_Area_Norm": 1, # str + # "Locations_Norm": 1, # list + # Impact + "Num_Min": 1, + "Num_Max": 1, + "Num_Unit": 1, + "Num_Inflation_Adjusted": 1, + "Num_Inflation_Adjusted_Year": 1, + }, + "l3_numerical": { + "Event_ID": 0, + # "Hazards": 1, + # Date + "Start_Date_Day": 1, + "Start_Date_Month": 1, + "Start_Date_Year": 1, + "End_Date_Day": 1, + "End_Date_Month": 1, + "End_Date_Year": 1, + # Area + # "Administrative_Area_Norm": 1, # str + # "Locations_Norm": 1, # list + # Impact + "Num_Min": 1, + "Num_Max": 1, + }, +} + +weights = { + "nlp4climate": { "Event_ID": 1, "Main_Event": 1, "Event_Name": 0, - # Deaths "Total_Deaths_Min": 1, "Total_Deaths_Max": 1, - # Injuries - "Total_Injuries_Max": 1, - "Total_Injuries_Min": 1, - # Buildings_Damage - "Total_Buildings_Min": 1, - "Total_Buildings_Max": 1, - # Affected - "Total_Affected_Min": 1, - "Total_Affected_Max": 1, - # Homeless - "Total_Homeless_Min": 1, - "Total_Homeless_Max": 1, - # Displace - "Total_Displace_Min": 1, - "Total_Displace_Max": 1, - # Damage "Total_Damage_Min": 1, "Total_Damage_Max": 1, "Total_Damage_Units": 1, - "Total_Damage_Inflation_Adjusted": 1, - "Total_Damage_Inflation_Adjusted_Year": 1, - # Insured Damage - "Total_Insured_Damage_Min": 1, - "Total_Insured_Damage_Max": 1, - "Total_Insured_Damage_Units": 1, - "Total_Insured_Damage_Inflation_Adjusted": 1, - "Total_Insured_Damage_Inflation_Adjusted_Year": 1, - # Date "Start_Date_Day": 1, "Start_Date_Month": 1, "Start_Date_Year": 1, "End_Date_Day": 1, "End_Date_Month": 1, "End_Date_Year": 1, - # Location - # "Country_Norm": 1, - # "Location_Norm": 1, + "Country_Norm": 1, + }, + "Homeless": { + # Homeless + "Event_ID": 0, + "Total_Homeless_Min": 1, + "Total_Homeless_Max": 1, }, -} \ No newline at end of file + "ESSD_2024_l1": default_weights["l1"], # default weights + "ESSD_2024_l2_numerical": default_weights["l2_numerical"], # default weights + "ESSD_2024_l2_monetary": default_weights["l2_monetary"], # default weights + "ESSD_2024_l3_numerical": default_weights["l3_numerical"], # default weights + "ESSD_2024_l3_monetary": default_weights["l3_monetary"], # default weights +} diff --git a/README.md b/README.md index 206a32d7a..48bee51a3 100644 --- a/README.md +++ b/README.md @@ -28,7 +28,9 @@ git lfs install ## Quickstart -### Run prompt experiments on OpenAI models +#### (Step 0) Run your experiments! + +##### Run prompt experiments on OpenAI models If you use OpenAI models, there is a way to save your cost with running experiments in batch. We developed a series of prompts for our database as follows - V_0 is a list of prompts used in the NLP2024 paper @@ -39,9 +41,11 @@ We developed a series of prompts for our database as follows - V_4 is the one with two prompts for each impact category, one prompt for L1/2 and one for L3 - V_5 is the one with three prompts for each impact category Before you run our pipeline, please choose a version of prompts to proceed, which can be revised in the beginning of **run_prompts.py** + ```shell from Database.Prompts.prompts import V_3 as target_prompts ``` + #### (Step 1) Raw output Choose the raw file contains the text you need to process, please use the clear raw file name to indicate your experiment, this name will be used as the output file, the api env you want to use, the decription of the experiment, the prompt category, and the batch file location you want to store the batch file (this is not mandatory, but it's good to check if you create correct batch file) @@ -109,25 +113,50 @@ If the system output is split across several files (such as Mixtral and Mistral > pre-commit run --files Database/raw//> > ``` -#### (Step 2) Parsing events and subevents +#### (Step 2) Parsing l1, l2, and l3 events Once all system output files are merged into a single JSON file (**or if this was already the case, such as with GPT4 output**), you can parse them so they are ready to be evaluated. The parsing script [`Database/parse_events.py`](Database/parse_events.py) will normalize numbers (to min and max) and locations (using OpenStreetMap) and output a JSON file. ```shell +# parse events poetry run python3 Database/parse_events.py \ --raw_dir Database/raw/ \ --filename \ --output_dir Database/output/ \ +--event_levels l1,l3 # list of events to parse, separated by a comma. Case sensitive! + +# explore more options +poetry run python3 Database/parse_events.py --help + +``` + -# "sub", "main" or "all" ---event_type all \ +You can also parse l1 first and store a row file. Later on, you can parse l2 or l3 from the same file without having to re-tun all of the parsing for l1. This allows splitting jobs. You can try the example below on dummy data. It's best to delete the contents of [Database/output/dummy](Database/output/dummy) first to re-run the example! -# if your country and location columns have a different name -# you can specify it here (otherwise, defaults to -# "Country" and "Location" (respectively)): ---country_column "Custom_Country_Column" \ ---location_column "Locations" +```shell +# first, clear the dummy output directory +rm -rv Database/output/dummy + +# then, parse l1 and store the raw files in json (by setting the flag "--store_raw_l1") +# make sure to specify the name of the raw_l1 file +poetry run python3 Database/parse_events.py \ +--raw_dir Database/raw/dummy \ +--filename dummy_llm_output_l1_l2_l3.json \ +--output_dir Database/output/dummy \ +--event_levels l1 \ +--store_raw_l1 \ +--raw_l1 "l1.raw.json" + +# at a later time, parse l3 or l2 or both from the same file using the raw_l1 file +# NOTE: if you pass a value to the "--raw_l1" paramater, it means that l1 data +# will always be loaded from this raw file, even if passed in "--event_levels" +poetry run python3 Database/parse_events.py \ +--raw_dir Database/raw/dummy \ +--filename dummy_llm_output_l1_l2_l3.json \ +--output_dir Database/output/dummy \ +--event_levels l3,l2 \ +--raw_l1 "l1.raw.json" ``` > [!WARNING] @@ -168,38 +197,39 @@ Also, this config will result in evaluating only on this smaller set of columns, ``` -##### (B) Evaluate main events +##### (B) Evaluate L1 (Total Summary) events When your config is ready, run the evaluation script: ```shell -poetry run python3 Evaluation/evaluator.py --sys-file Database/output//dev/ --gold-file Database/gold/ --model-name "/" --null-penalty 1 --score all --weights_config +poetry run python3 Evaluation/evaluator.py --sys_output Database/output//dev/ --gold_set Database/gold/ --model_name "/" --null_penalty 1 --score all --weights_config --event_level ``` For example, the script below runs the evaluation on the output from mixtral-8x7b-insctruct agains the dev set gold file, and saves the results in `Database/evaluation_results/example/dev`: ```shell -poetry run python3 Evaluation/evaluator.py --sys-file Database/output/nlp4climate/dev/mixtral-8x7b-instruct-source.parquet \ ---gold-file Database/gold/gold_dev_20240515.parquet \ ---model-name "example/dev" \ ---null-penalty 1 \ +poetry run python3 Evaluation/evaluator.py --sys_output Database/output/nlp4climate/dev/mixtral-8x7b-instruct-source.parquet \ +--gold_set Database/gold/gold_dev_20240515.parquet \ +--model_name "example/dev" \ +--null_penalty 1 \ --score all \ ---weights_config nlp4climate +--weights_config nlp4climate \ +--event_level l1 # for the nlp4climate experiments, only l1 is avaiable and backwards compatible ``` -#### Evaluate sub events (ie. specific instances) +#### Evaluate l2 (Instance per Administrative Area) and l3 (Specific Instance Per Administrative Area) events -Specific instances can be evaluated using the same script. The same script (`Evaluation/evalutor.py`) will automatically match specific instances from the gold data with the system output. If no match exists for a specific instance, it will be matched up with a "padded" example with NULL values so that the system is penalized for not having been able to find a particular specific instance or for finding extra specific instances not found in the gold dataset. +Specific instances (l2 and l3) can be evaluated using the same script. The same script (`Evaluation/evalutor.py`) will automatically match specific instances from the gold data with the system output. If no match exists for a specific instance, it will be matched up with a "padded" example with NULL values so that the system is penalized for not having been able to find a particular specific instance or for finding extra specific instances not found in the gold dataset. -Below is a scipt that evaluates two dummy sets (gold and sys) to showcase a working example and the correct schema for the `.parquet` files. Sub events are evaluated separately from main events. +Below is a scipt that evaluates two dummy sets (gold and sys) to showcase a working example and the correct schema for the `.parquet` files. Note that l2 and l3 are evaluated separately from l1 events. ```shell poetry run python3 Evaluation/evaluator.py \ ---sys-file tests/specific_instance_eval/test_sys_list_death.parquet \ ---gold-file tests/specific_instance_eval/test_gold_list_death.parquet \ ---model-name "specific_instance_eval_test/dev/deaths" \ ---event_type sub \ +--sys_file tests/specific_instance_eval/test_sys_list_death.parquet \ +--gold_set tests/specific_instance_eval/test_gold_list_death.parquet \ +--model_name "example/dev/deaths" \ +--event_level l2 \ --weights_config specific_instance \ ---specific_instance_type deaths +--impact_type deaths ``` If run properly, you should see the results in `Database/evaluation_results/specific_instance_eval_test`: @@ -217,48 +247,55 @@ Database/evaluation_results/specific_instance_eval_test > [!WARNING] > Do not commit these files to your branch or to `main`, big thanks! -### Parsing and normalization -If you have new events to add to the database, first parse them and insert them. +### Evaluating L1, L2, and L3 in a single run -- To parse events (and normalize their values) from a json file with the right schema (adding schema validation soon), run: +To evaluate all event levels and categories, **make sure your gold files and sys output files are in the correct structure as described in [Evaluation/evaluate_full_run.sh](Evaluation/evaluate_full_run.sh)**, then run this script: - ```shell - # an example - poetry run python3 Database/parse_events.py --spaCy_model "en_core_web_trf" --filename "some_json_file.json" --raw_path "Database/raw" --locale "en_US.UTF-8" +```shell +# dataSplit can be dev or test +source Evaluation/evaluate_full_run.sh goldFileDir sysFileDir dataSplit +``` - # for help - poetry run python3 Database/parse_events.py --help - ``` +```shell +# example using ESDD_2024 data +source Evaluation/evaluate_full_run.sh Database/gold/ESSD_2024 Database/output/ESSD_2024 dev +``` -### Inserting -- To insert new main events: +### Inserting events to the database - ```shell - # to append - poetry run python3 Database/insert_main_event.py -m "append" +Insertion is done by event level (l1, l2, or l3). Examples: - # to replace - poetry run python3 Database/insert_main_event.py -m "replace" +```shell +# to append l1 events +poetry run python3 Database/insert_events.py -m "append" -lvl l1 -db impact.v1.db - # explore more options - poetry run python3 Database/parse_events.py --help - ``` +# to replace l2 events ⚠️ WILL replace all entries! ⚠️ +poetry run python3 Database/insert_events.py -m "replace" -lvl l2 -db impact.v1.db -- To insert new subevents: +# explore more options +poetry run python3 Database/insert_events.py --help - ```shell - poetry run python3 Database/insert_sub_events.py [options] +# on dummy events ⚠️ please don't push these database insertions to github! ⚠️ +poetry run python3 Database/insert_events.py -m append -f Database/output/dummy/l1 -db impact.v1.db -lvl l1 +``` - # see options - poetry run python3 Database/parse_events.py --help - ``` +To insert a large number of events in the database all at once (supports chunked .parquet files), the files need to be in a specific format described in [Database/scr/insert_full_run.sh](Database/scr/insert_full_run.sh). The directory structure in [Database/output/dummy](Database/output/dummy) follows this format. + +To perform this on the existing dummy data: + +```shell +# format: +# source Database/insert_full_run.sh Database/output/dummy SQL_DB PATH_TO_STORE_NIDs + +source Database/insert_full_run.sh Database/output/dummy impact.v1.db tmp/files +``` ### Database-related - To generate the database according to [`Database/schema.sql`](Database/schema.sql): ```shell - poetry run python3 Database/create_db.py + poetry run python3 Database/create_db.py -db impact.v1.db ``` #### SPECIAL USECASE: Converting the manual annotation table from a flat format to Events and Specific Impacts @@ -271,7 +308,7 @@ If you have new events to add to the database, first parse them and insert them. poetry run python3 Database/gold_from_excel.py \ --input-file "Database/gold/ImpactDB_DataTable_Validation.xlsx" \ --sheet-name ImpactDB_manual_copy_MDMMYYY \ ---output-dir Database/gold/gold_from_excel \ +--output-dir 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