Skip to content

Commit 2126020

Browse files
committed
finished README
1 parent 7e4aaa5 commit 2126020

File tree

1 file changed

+51
-0
lines changed

1 file changed

+51
-0
lines changed

README.md

Lines changed: 51 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -24,5 +24,56 @@ This project demonstrates a complete data analysis workflow using Python. The st
2424
```bash
2525
pip install pandas matplotlib scikit-learn
2626
```
27+
4. Prepare Data
28+
29+
Place your CSV file in the project directory. Ensure it is named data.csv or update the script accordingly.
30+
31+
### Running the Analysis
32+
33+
1. Place your CSV file
34+
35+
Make sure the `data.csv` file is located in the same directory as data_analysis.py.
36+
37+
2. Run the script
38+
```bash
39+
python3 data_analysis.py
40+
```
41+
42+
3. Output
43+
44+
The script will display the contents of the CSV file, a statistical summary of the data, and data types.
45+
46+
### Script Details
47+
48+
data_analysis.py: Reads data.csv, prints the data, shows statistical summaries, and displays data types.
49+
50+
```bash
51+
import pandas as pd
52+
53+
# Load data
54+
data = pd.read_csv('data.csv')
55+
56+
# Display data
57+
print("Data:")
58+
print(data)
59+
60+
# Display statistical summary
61+
print("\nStatistical Summary:")
62+
print(data.describe())
63+
64+
# Display data types
65+
print("\nData Types:")
66+
print(data.dtypes)
67+
```
68+
69+
70+
##Acknowledgements
71+
72+
The `pandas` library for data manipulation and analysis.
73+
74+
75+
76+
77+
Feel free to modify any section to better fit your project's specifics or personal preferences!
2778
2879

0 commit comments

Comments
 (0)