DataCleaning-2021.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "dbe23f8c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Web path variables for the questionnaires online - to be scraped\n",
    "\n",
    "survey_2021 = 'https://osmi.typeform.com/report/Fja7Jb9K/t5F4sKEyeGhGgU7V'\n",
    "\n",
    "# Dataset path variables setting up\n",
    "initial_2021 = r'C:\\Users\\Lenovo\\Desktop\\ML App\\initial_2021.csv'\n",
    "\n",
    "final_2021 = r'C:\\Users\\Lenovo\\Desktop\\ML App\\final_2021.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0ba0576d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "import sys\n",
    "import json\n",
    "import requests\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import random as rd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.pyplot import pie\n",
    "import seaborn as sns\n",
    "import plotly.express as px\n",
    "from bs4 import BeautifulSoup\n",
    "from collections import Counter"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8654636",
   "metadata": {},
   "source": [
    "# Work on the 2021 Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f04da050",
   "metadata": {},
   "source": [
    "## 1. Survey Questions with Web Scraping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "50d710ae",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Web scraping response status:\n",
      " 200\n",
      "Dataset Title:\n",
      " OSMI Mental Health in Tech Survey 2021\n"
     ]
    }
   ],
   "source": [
    "# Request typeform survey webpage for contents\n",
    "res = requests.get(survey_2021)\n",
    "\n",
    "# Extract response status and validate for successful transaction\n",
    "status = res.status_code\n",
    "if status != 200:\n",
    "    sys.exit(1)\n",
    "else:\n",
    "    print(\"Web scraping response status:\\n\", status)\n",
    "\n",
    "# Parse HTML title, head and body contents using BeautifulSoup\n",
    "soup = BeautifulSoup(res.content, 'html.parser')\n",
    "\n",
    "print(\"Dataset Title:\\n\", soup.title.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "53c856a3",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of questions in the survey: 69\n",
      "----------------------------------------------------------------------------------------------------\n",
      "Are you self-employed?\n",
      "How many employees does your company or organization have?\n",
      "Is your employer primarily a tech company/organization?\n",
      "Is your primary role within your company related to tech/IT?\n",
      "Does your employer provide mental health benefits as part of healthcare coverage?\n",
      "Do you know the options for mental health care available under your employer-provided health coverage?\n",
      "Has your employer ever formally discussed mental health (for example, as part of a wellness campaign or other official communication)?\n",
      "Does your employer offer resources to learn more about mental health disorders and options for seeking help?\n",
      "Is your anonymity protected if you choose to take advantage of mental health or substance abuse treatment resources provided by your employer?\n",
      "If a mental health issue prompted you to request a medical leave from work, how easy or difficult would it be to ask for that leave?\n",
      "Would you feel more comfortable talking to your coworkers about your physical health or your mental health?\n",
      "Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?\n",
      "Have you ever discussed your mental health with your employer?\n",
      "Would you feel comfortable discussing a mental health issue with your coworkers?\n",
      "Have you ever discussed your mental health with coworkers?\n",
      "Have you ever had a coworker discuss their or another coworker's mental health with you?\n",
      "Overall, how much importance does your employer place on physical health?\n",
      "Overall, how much importance does your employer place on mental health?\n",
      "Do you have medical coverage (private insurance or state-provided) that includes treatment of mental health disorders?\n",
      "Do you know local or online resources to seek help for a mental health issue?\n",
      "If you have been diagnosed or treated for a mental health disorder, do you ever reveal this to clients or business contacts?\n",
      "If you have revealed a mental health disorder to a client or business contact, how has this affected you or the relationship?\n",
      "If you have been diagnosed or treated for a mental health disorder, do you ever reveal this to coworkers or employees?\n",
      "If you have revealed a mental health disorder to a coworker or employee, how has this impacted you or the relationship?\n",
      "Do you believe your productivity is ever affected by a mental health issue?\n",
      "If yes, what percentage of your work time (time performing primary or secondary job functions) is affected by a mental health issue?\n",
      "Do you have previous employers?\n",
      "Was your employer primarily a tech company/organization?\n",
      "Have your previous employers provided mental health benefits?\n",
      "Were you aware of the options for mental health care provided by your previous employers?\n",
      "Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?\n",
      "Did your previous employers provide resources to learn more about mental health disorders and how to seek help?\n",
      "Was your anonymity protected if you chose to take advantage of mental health or substance abuse treatment resources with previous employers?\n",
      "Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?\n",
      "Would you have been willing to discuss your mental health with your direct supervisor(s)?\n",
      "Did you ever discuss your mental health with your previous employer?\n",
      "Would you have been willing to discuss your mental health with your coworkers at previous employers?\n",
      "Did you ever discuss your mental health with a previous coworker(s)?\n",
      "Did you ever have a previous coworker discuss their or another coworker's mental health with you?\n",
      "Overall, how much importance did your previous employer place on physical health?\n",
      "Overall, how much importance did your previous employer place on mental health?\n",
      "Do you currently have a mental health disorder?\n",
      "Have you ever been diagnosed with a mental health disorder?\n",
      "What disorder(s) have you been diagnosed with?\n",
      "If possibly, what disorder(s) do you believe you have?\n",
      "If so, what disorder(s) were you diagnosed with?\n",
      "Have you had a mental health disorder in the past?\n",
      "Have you ever sought treatment for a mental health disorder from a mental health professional?\n",
      "Do you have a family history of mental illness?\n",
      "If you have a mental health disorder, how often do you feel that it interferes with your work when being treated effectively?\n",
      "If you have a mental health disorder, how often do you feel that it interferes with your work when NOT being treated effectively (i.e., when you are experiencing symptoms)?\n",
      "Have your observations of how another individual who discussed a mental health issue made you less likely to reveal a mental health issue yourself in your current workplace?\n",
      "How willing would you be to share with friends and family that you have a mental illness?\n",
      "Would you be willing to bring up a physical health issue with a potential employer in an interview?\n",
      "Would you bring up your mental health with a potential employer in an interview?\n",
      "Are you openly identified at work as a person with a mental health issue?\n",
      "Has being identified as a person with a mental health issue affected your career?\n",
      "How has it affected your career?\n",
      "If they knew you suffered from a mental health disorder, how do you think that your team members/co-workers would react?\n",
      "Have you observed or experienced an unsupportive or badly handled response to a mental health issue in your current or previous workplace?\n",
      "Have you observed or experienced a supportive or well handled response to a mental health issue in your current or previous workplace?\n",
      "Overall, how well do you think the tech industry supports employees with mental health issues?\n",
      "Would you be willing to talk to one of us more extensively about your experiences with mental health issues in the tech industry? (Note that all interview responses would be used anonymously and only with your permission.)\n",
      "What country do you live in?\n",
      "What US state or territory do you live in?\n",
      "What is your race?\n",
      "What country do you work in?\n",
      "What US state or territory do you work in?\n",
      "Have you been diagnosed with COVID-19?\n"
     ]
    }
   ],
   "source": [
    "# Select content inside the script element that contains information about the survey questions and answers\n",
    "script = soup.select('script')[10]\n",
    "\n",
    "# Set a Regex pattern to extract the report's payload and apply the pattern on the script text\n",
    "pattern = re.compile(\"(?<=window.__REPORT_PAYLOAD = ).*(?=};)\")\n",
    "fields = re.findall(pattern, script.text)\n",
    "\n",
    "# Complete the string to be able to input to the JSON parser\n",
    "fields[0] = fields[0] + '}'\n",
    "\n",
    "# Convert the string to JSON\n",
    "json_param = json.loads(fields[0])\n",
    "\n",
    "# Print all the questions asked in the survey\n",
    "questions = json_param['blocks']\n",
    "print(\"Number of questions in the survey:\", len(questions))\n",
    "print('-'*100)\n",
    "\n",
    "# Process each question to remove * present representing bolded words\n",
    "question_titles = []\n",
    "for question in questions:\n",
    "    question['title'] = question['title'].replace('*', '')\n",
    "    question['title'] = question['title'].replace('_', '')\n",
    "    question_titles.append(question['title'])\n",
    "    print(question['title'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ffd41df2",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'multiple_choice': 40,\n",
       "         'yes_no': 17,\n",
       "         'opinion_scale': 7,\n",
       "         'dropdown': 4,\n",
       "         'rating': 1})"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Analyze the types of questions asked in the survey\n",
    "question_types = []\n",
    "for question in questions:\n",
    "    question_types.append(question['type'])\n",
    "Counter(question_types)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e84e8ecd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of respondents for each question out of 131 participants:\n",
      " [131, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 113, 113, 114, 114, 17, 17, 17, 17, 17, 17, 17, 11, 131, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 83, 81, 85, 85, 131, 43, 0, 24, 36, 127, 131, 131, 131, 131, 131, 131, 131, 131, 131, 17, 7, 131, 131, 131, 131, 131, 131, 49, 49, 131, 49, 0]\n"
     ]
    }
   ],
   "source": [
    "# Get the total number of participants in the survey\n",
    "total_resp = json_param['totalResponsesCount']\n",
    "\n",
    "# Get the number of participants that answered each question\n",
    "counts = []\n",
    "for question in questions:\n",
    "    # Use the get() method to retrieve the 'count' key safely\n",
    "    count = question['summary'].get('count', 0)  # 0 is the default value if 'count' is not present\n",
    "    counts.append(count)\n",
    "\n",
    "print(\"Number of respondents for each question out of {0} participants:\\n {1}\".format(total_resp, counts))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f734753c",
   "metadata": {},
   "source": [
    "## 2. Cleaning and Aggregating Columns on the Dataset from Kaggle"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88eaef64",
   "metadata": {},
   "source": [
    "### Importing and Overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b36edf3e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of columns: 124\n",
      "----------------------------------------------------------------------------------------------------\n",
      "0 #\n",
      "14 Describe the conversation you had with your employer about your mental health, including their reactions and what actions were taken to address your mental health issue/questions.\n",
      "17 Describe the conversation with coworkers you had about your mental health including their reactions.\n",
      "19 Describe the conversation your coworker had with you about their mental health (please do not use names).\n",
      "40 Describe the conversation you had with your previous employer about your mental health, including their reactions and actions taken to address your mental health issue/questions.\n",
      "43 Describe the conversation you had with your previous coworkers about your mental health including their reactions.\n",
      "45 Describe the conversation your coworker had with you about their mental health (please do not use names)..1\n",
      "50 Anxiety Disorder (Generalized, Social, Phobia, etc)\n",
      "51 Mood Disorder (Depression, Bipolar Disorder, etc)\n",
      "52 Psychotic Disorder (Schizophrenia, Schizoaffective, etc)\n",
      "53 Eating Disorder (Anorexia, Bulimia, etc)\n",
      "54 Attention Deficit Hyperactivity Disorder\n",
      "55 Personality Disorder (Borderline, Antisocial, Paranoid, etc)\n",
      "56 Obsessive-Compulsive Disorder\n",
      "57 Post-Traumatic Stress Disorder\n",
      "58 Stress Response Syndromes\n",
      "59 Dissociative Disorder\n",
      "60 Substance Use Disorder\n",
      "61 Addictive Disorder\n",
      "62 Other\n",
      "63 Anxiety Disorder (Generalized, Social, Phobia, etc).1\n",
      "64 Mood Disorder (Depression, Bipolar Disorder, etc).1\n",
      "65 Psychotic Disorder (Schizophrenia, Schizoaffective, etc).1\n",
      "66 Eating Disorder (Anorexia, Bulimia, etc).1\n",
      "67 Attention Deficit Hyperactivity Disorder.1\n",
      "68 Personality Disorder (Borderline, Antisocial, Paranoid, etc).1\n",
      "69 Obsessive-Compulsive Disorder.1\n",
      "70 Post-traumatic Stress Disorder\n",
      "71 Stress Response Syndromes.1\n",
      "72 Dissociative Disorder.1\n",
      "73 Substance Use Disorder.1\n",
      "74 Addictive Disorder.1\n",
      "75 Other.1\n",
      "76 Anxiety Disorder (Generalized, Social, Phobia, etc).2\n",
      "77 Mood Disorder (Depression, Bipolar Disorder, etc).2\n",
      "78 Psychotic Disorder (Schizophrenia, Schizoaffective, etc).2\n",
      "79 Eating Disorder (Anorexia, Bulimia, etc).2\n",
      "80 Attention Deficit Hyperactivity Disorder.2\n",
      "81 Personality Disorder (Borderline, Antisocial, Paranoid, etc).2\n",
      "82 Obsessive-Compulsive Disorder.2\n",
      "83 Post-traumatic Stress Disorder.1\n",
      "84 Stress Response Syndromes.2\n",
      "85 Dissociative Disorder.2\n",
      "86 Substance Use Disorder.2\n",
      "87 Addictive Disorder.2\n",
      "88 Other.2\n",
      "105 Describe the circumstances of the badly handled or unsupportive response.\n",
      "107 Describe the circumstances of the supportive or well handled response.\n",
      "109 Briefly describe what you think the industry as a whole and/or employers could do to improve mental health support for employees.\n",
      "110 If there is anything else you would like to tell us that has not been covered by the survey questions, please use this space to do so.\n",
      "117 Other.3\n",
      "121 Start Date (UTC)\n",
      "122 Submit Date (UTC)\n",
      "123 Network ID\n"
     ]
    }
   ],
   "source": [
    "# Import Kaggle dataset and examine the columns\n",
    "data_2021 = pd.read_csv(initial_2021)\n",
    "\n",
    "# What are the total number of columns?\n",
    "print(\"Number of columns:\", len(data_2021.columns))\n",
    "print('-'*100)\n",
    "\n",
    "# What are the columns that aren't in question format?\n",
    "for count, i in enumerate(data_2021.columns):\n",
    "    if '?' not in i:\n",
    "        print(count, i)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e18590d",
   "metadata": {},
   "source": [
    "### Analysis\n",
    "\n",
    "From this we analyze that the dataset from OSMI has columns that aren't in the data scraped from the survey webpage. It also appears that some columns represent possible responses for questions. \n",
    "\n",
    "Decide to merge the corresponding columns and replace the column names with the question titles.\n",
    "\n",
    "Since we look to aggregate columns from multiple datasets throughout the years, we merge the columns of descriptive questions to form a single column: `comments`. We also drop the first column representing the participant ID and a few other columns that are not relevant to our study."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e25db607",
   "metadata": {},
   "source": [
    "### Name Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6008a048",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_2021.drop(['Start Date (UTC)'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5bc286f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_2021.drop(['Submit Date (UTC)'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "51cb8543",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_2021.drop(['Network ID'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fd1c54dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_2021.drop(['#'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e70cce48",
   "metadata": {},
   "source": [
    "The columns with indices between 50 to 62, 63 to 75 and 76 to 88 correspond to, respectively,\n",
    "\n",
    "###### What disorder(s) have you been diagnosed with?\n",
    "\n",
    "###### If possibly, what disorder(s) do you believe you have?\n",
    "\n",
    "###### If so, what disorder(s) were you diagnosed with?.\n",
    "\n",
    "Therefore, we merge the corresponding columns of indices to create new columns with the attribute headings being the above qustions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "bc8329db",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_2021.rename(columns = {'Post-traumatic Stress Disorder':'Post-Traumatic Stress Disorder.1',\n",
    "                           'Post-traumatic Stress Disorder.1':'Post-Traumatic Stress Disorder.2'}, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ecff5bad",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Setup the column names that are to be merged\n",
    "\n",
    "# Columns to be merged and replaced by `What disorder(s) have you been diagnosed with?`\n",
    "cols_1 = ['Anxiety Disorder (Generalized, Social, Phobia, etc)',\n",
    "          'Mood Disorder (Depression, Bipolar Disorder, etc)',\n",
    "          'Psychotic Disorder (Schizophrenia, Schizoaffective, etc)',\n",
    "          'Eating Disorder (Anorexia, Bulimia, etc)',\n",
    "          'Attention Deficit Hyperactivity Disorder',\n",
    "          'Personality Disorder (Borderline, Antisocial, Paranoid, etc)',\n",
    "          'Obsessive-Compulsive Disorder',\n",
    "          'Post-Traumatic Stress Disorder',\n",
    "          'Stress Response Syndromes',\n",
    "          'Dissociative Disorder',\n",
    "          'Substance Use Disorder',\n",
    "          'Addictive Disorder',\n",
    "          'Other']\n",
    "\n",
    "# Columns to be merged and replaced by `If possibly, what disorder(s) do you believe you have?`\n",
    "cols_2 = [i + '.1' for i in cols_1]\n",
    "\n",
    "# Columns to be merged and replaced by `If so, what disorder(s) were you diagnosed with?`\n",
    "cols_3 = [i + '.2' for i in cols_1]\n",
    "\n",
    "# Columns to be merged and replaced by `comments`\n",
    "cols_4 = ['Describe the conversation you had with your employer about your mental health, including their reactions and what actions were taken to address your mental health issue/questions.',\n",
    "          'Describe the conversation with coworkers you had about your mental health including their reactions.',\n",
    "          'Describe the conversation your coworker had with you about their mental health (please do not use names).',\n",
    "          'Describe the conversation you had with your previous employer about your mental health, including their reactions and actions taken to address your mental health issue/questions.',\n",
    "          'Describe the conversation you had with your previous coworkers about your mental health including their reactions.',\n",
    "          'Describe the conversation your coworker had with you about their mental health (please do not use names)..1',\n",
    "          'Describe the circumstances of the badly handled or unsupportive response.',\n",
    "          'Describe the circumstances of the supportive or well handled response.',\n",
    "          'Briefly describe what you think the industry as a whole and/or employers could do to improve mental health support for employees.',\n",
    "          'If there is anything else you would like to tell us that has not been covered by the survey questions, please use this space to do so.',\n",
    "          'Other.3']\n",
    "\n",
    "# Names of the attributes after transformation \n",
    "q_1 = 'What disorder(s) have you been diagnosed with?'\n",
    "q_2 = 'If possibly, what disorder(s) do you believe you have?'\n",
    "q_3 = 'If so, what disorder(s) were you diagnosed with?'\n",
    "q_4 = 'comments'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3213fa7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function defined to merge a list of columns to form a new column with the input name\n",
    "def merge_columns(df, new_col, col_list):\n",
    "    '''\n",
    "    Input: \n",
    "        df - Dataframe being worked on (Pandas Dataframe)\n",
    "        new_col - List of column\n",
    "    \n",
    "    '''\n",
    "    df[new_col] = df[col_list].apply(lambda x: ', '.join(x.dropna().astype(str)), 1)\n",
    "    df[new_col] = df[new_col].apply(lambda aCode: np.nan if aCode == '' else aCode)\n",
    "    df.drop(col_list, axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "814d333e",
   "metadata": {},
   "outputs": [],
   "source": [
    "merge_columns(data_2021, q_1, cols_1)\n",
    "merge_columns(data_2021, q_2, cols_2)\n",
    "merge_columns(data_2021, q_3, cols_3)\n",
    "merge_columns(data_2021, q_4, cols_4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "20b588ff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of columns: 74\n"
     ]
    }
   ],
   "source": [
    "print(\"Number of columns:\", len(data_2021.columns))\n",
    "for i in range(len(data_2021.columns)):\n",
    "    for string in ['<strong>', '</strong>', '<em>', '</em>', '*', '_']:\n",
    "        data_2021.rename(columns = {data_2021.columns[i]:data_2021.columns[i].replace(string, '')}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "555eb2bb",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Why or why not?', 'Why or why not?.1', 'What is your age?', 'What is your gender?', 'comments']\n"
     ]
    }
   ],
   "source": [
    "# Analyze the attributes that are present in the OSMI dataset and not in the scraped dataset\n",
    "print([i for i in data_2021.columns if i not in question_titles])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a814bed9",
   "metadata": {},
   "source": [
    "The attributes age, gender and comments are important for the final aggregation, and so we retain them as is. We do not need the explanatory questions, and so they are dropped."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4ebf945a",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_2021.drop(['Why or why not?', 'Why or why not?.1',\n",
    "               'Would you be willing to talk to one of us more extensively about your experiences with mental health issues in the tech industry? (Note that all interview responses would be used anonymously and only with your permission.)'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73341e67",
   "metadata": {},
   "source": [
    "## 3. Final Attribute-wise Cleaned OSMI Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6eafc093",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "71\n",
      "Are you self-employed?\n",
      "How many employees does your company or organization have?\n",
      "Is your employer primarily a tech company/organization?\n",
      "Is your primary role within your company related to tech/IT?\n",
      "Does your employer provide mental health benefits as part of healthcare coverage?\n",
      "Do you know the options for mental health care available under your employer-provided health coverage?\n",
      "Has your employer ever formally discussed mental health (for example, as part of a wellness campaign or other official communication)?\n",
      "Does your employer offer resources to learn more about mental health disorders and options for seeking help?\n",
      "Is your anonymity protected if you choose to take advantage of mental health or substance abuse treatment resources provided by your employer?\n",
      "If a mental health issue prompted you to request a medical leave from work, how easy or difficult would it be to ask for that leave?\n",
      "Would you feel more comfortable talking to your coworkers about your physical health or your mental health?\n",
      "Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?\n",
      "Have you ever discussed your mental health with your employer?\n",
      "Would you feel comfortable discussing a mental health issue with your coworkers?\n",
      "Have you ever discussed your mental health with coworkers?\n",
      "Have you ever had a coworker discuss their or another coworker's mental health with you?\n",
      "Overall, how much importance does your employer place on physical health?\n",
      "Overall, how much importance does your employer place on mental health?\n",
      "Do you have medical coverage (private insurance or state-provided) that includes treatment of mental health disorders?\n",
      "Do you know local or online resources to seek help for a mental health issue?\n",
      "If you have been diagnosed or treated for a mental health disorder, do you ever reveal this to clients or business contacts?\n",
      "If you have revealed a mental health disorder to a client or business contact, how has this affected you or the relationship?\n",
      "If you have been diagnosed or treated for a mental health disorder, do you ever reveal this to coworkers or employees?\n",
      "If you have revealed a mental health disorder to a coworker or employee, how has this impacted you or the relationship?\n",
      "Do you believe your productivity is ever affected by a mental health issue?\n",
      "If yes, what percentage of your work time (time performing primary or secondary job functions) is affected by a mental health issue?\n",
      "Do you have previous employers?\n",
      "Was your employer primarily a tech company/organization?\n",
      "Have your previous employers provided mental health benefits?\n",
      "Were you aware of the options for mental health care provided by your previous employers?\n",
      "Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?\n",
      "Did your previous employers provide resources to learn more about mental health disorders and how to seek help?\n",
      "Was your anonymity protected if you chose to take advantage of mental health or substance abuse treatment resources with previous employers?\n",
      "Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?\n",
      "Would you have been willing to discuss your mental health with your direct supervisor(s)?\n",
      "Did you ever discuss your mental health with your previous employer?\n",
      "Would you have been willing to discuss your mental health with your coworkers at previous employers?\n",
      "Did you ever discuss your mental health with a previous coworker(s)?\n",
      "Did you ever have a previous coworker discuss their or another coworker's mental health with you?\n",
      "Overall, how much importance did your previous employer place on physical health?\n",
      "Overall, how much importance did your previous employer place on mental health?\n",
      "Do you currently have a mental health disorder?\n",
      "Have you ever been diagnosed with a mental health disorder?\n",
      "Have you had a mental health disorder in the past?\n",
      "Have you ever sought treatment for a mental health disorder from a mental health professional?\n",
      "Do you have a family history of mental illness?\n",
      "If you have a mental health disorder, how often do you feel that it interferes with your work when being treated effectively?\n",
      "If you have a mental health disorder, how often do you feel that it interferes with your work when NOT being treated effectively (i.e., when you are experiencing symptoms)?\n",
      "Have your observations of how another individual who discussed a mental health issue made you less likely to reveal a mental health issue yourself in your current workplace?\n",
      "How willing would you be to share with friends and family that you have a mental illness?\n",
      "Would you be willing to bring up a physical health issue with a potential employer in an interview?\n",
      "Would you bring up your mental health with a potential employer in an interview?\n",
      "Are you openly identified at work as a person with a mental health issue?\n",
      "Has being identified as a person with a mental health issue affected your career?\n",
      "How has it affected your career?\n",
      "If they knew you suffered from a mental health disorder, how do you think that your team members/co-workers would react?\n",
      "Have you observed or experienced an unsupportive or badly handled response to a mental health issue in your current or previous workplace?\n",
      "Have you observed or experienced a supportive or well handled response to a mental health issue in your current or previous workplace?\n",
      "Overall, how well do you think the tech industry supports employees with mental health issues?\n",
      "What is your age?\n",
      "What is your gender?\n",
      "What country do you live in?\n",
      "What US state or territory do you live in?\n",
      "What is your race?\n",
      "What country do you work in?\n",
      "What US state or territory do you work in?\n",
      "Have you been diagnosed with COVID-19?\n",
      "What disorder(s) have you been diagnosed with?\n",
      "If possibly, what disorder(s) do you believe you have?\n",
      "If so, what disorder(s) were you diagnosed with?\n",
      "comments\n"
     ]
    }
   ],
   "source": [
    "print(len(data_2021.columns))\n",
    "print(*[i for i in data_2021.columns], sep='\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6d14fb85",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Questions on the OSMI dataset and not on the survey web page:\n",
      "59. What is your age?\n",
      "60. What is your gender?\n",
      "70. comments\n",
      "Questions on the survey web page and not on the OSMI dataset:\n",
      "62. Would you be willing to talk to one of us more extensively about your experiences with mental health issues in the tech industry? (Note that all interview responses would be used anonymously and only with your permission.)\n"
     ]
    }
   ],
   "source": [
    "print(\"Questions on the OSMI dataset and not on the survey web page:\")\n",
    "print(*[(str(count) + '. ' + str(i)) for count, i in enumerate(data_2021.columns) \n",
    "        if i not in question_titles], sep='\\n')\n",
    "print(\"Questions on the survey web page and not on the OSMI dataset:\")\n",
    "print(*[(str(count) + '. ' + str(i)) for count, i in enumerate(question_titles) \n",
    "        if i not in data_2021.columns], sep='\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7c5e9478",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Are you self-employed?</th>\n",
       "      <th>How many employees does your company or organization have?</th>\n",
       "      <th>Is your employer primarily a tech company/organization?</th>\n",
       "      <th>Is your primary role within your company related to tech/IT?</th>\n",
       "      <th>Does your employer provide mental health benefits as part of healthcare coverage?</th>\n",
       "      <th>Do you know the options for mental health care available under your employer-provided health coverage?</th>\n",
       "      <th>Has your employer ever formally discussed mental health (for example, as part of a wellness campaign or other official communication)?</th>\n",
       "      <th>Does your employer offer resources to learn more about mental health disorders and options for seeking help?</th>\n",
       "      <th>Is your anonymity protected if you choose to take advantage of mental health or substance abuse treatment resources provided by your employer?</th>\n",
       "      <th>If a mental health issue prompted you to request a medical leave from work, how easy or difficult would it be to ask for that leave?</th>\n",
       "      <th>...</th>\n",
       "      <th>What country do you live in?</th>\n",
       "      <th>What US state or territory do you live in?</th>\n",
       "      <th>What is your race?</th>\n",
       "      <th>What country do you work in?</th>\n",
       "      <th>What US state or territory do you work in?</th>\n",
       "      <th>Have you been diagnosed with COVID-19?</th>\n",
       "      <th>What disorder(s) have you been diagnosed with?</th>\n",
       "      <th>If possibly, what disorder(s) do you believe you have?</th>\n",
       "      <th>If so, what disorder(s) were you diagnosed with?</th>\n",
       "      <th>comments</th>\n",
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       "      <td>...</td>\n",
       "      <td>United States of America</td>\n",
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       "      <td>Anxiety Disorder (Generalized, Social, Phobia,...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
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       "      <td>NaN</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>100-500</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>I don't know</td>\n",
       "      <td>I don't know</td>\n",
       "      <td>Somewhat easy</td>\n",
       "      <td>...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Something about been stressed about deadlines,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Italy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Italy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>lk, j</td>\n",
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       "      <td>More than 1000</td>\n",
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       "      <td>1.0</td>\n",
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       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>I don't know</td>\n",
       "      <td>Difficult</td>\n",
       "      <td>...</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Canada</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>understandable</td>\n",
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       "</table>\n",
       "<p>5 rows × 71 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Are you self-employed?  \\\n",
       "0                       0   \n",
       "1                       0   \n",
       "2                       0   \n",
       "3                       1   \n",
       "4                       0   \n",
       "\n",
       "  How many employees does your company or organization have?  \\\n",
       "0                                             26-100           \n",
       "1                                           500-1000           \n",
       "2                                            100-500           \n",
       "3                                                NaN           \n",
       "4                                     More than 1000           \n",
       "\n",
       "   Is your employer primarily a tech company/organization?  \\\n",
       "0                                                1.0         \n",
       "1                                                1.0         \n",
       "2                                                1.0         \n",
       "3                                                NaN         \n",
       "4                                                0.0         \n",
       "\n",
       "   Is your primary role within your company related to tech/IT?  \\\n",
       "0                                                1.0              \n",
       "1                                                1.0              \n",
       "2                                                1.0              \n",
       "3                                                NaN              \n",
       "4                                                1.0              \n",
       "\n",
       "  Does your employer provide mental health benefits as part of healthcare coverage?  \\\n",
       "0                                       I don't know                                  \n",
       "1                                                Yes                                  \n",
       "2                                                Yes                                  \n",
       "3                                                NaN                                  \n",
       "4                                                Yes                                  \n",
       "\n",
       "  Do you know the options for mental health care available under your employer-provided health coverage?  \\\n",
       "0                                                 No                                                       \n",
       "1                                                 No                                                       \n",
       "2                                                Yes                                                       \n",
       "3                                                NaN                                                       \n",
       "4                                                 No                                                       \n",
       "\n",
       "  Has your employer ever formally discussed mental health (for example, as part of a wellness campaign or other official communication)?  \\\n",
       "0                                                 No                                                                                       \n",
       "1                                                Yes                                                                                       \n",
       "2                                                 No                                                                                       \n",
       "3                                                NaN                                                                                       \n",
       "4                                                Yes                                                                                       \n",
       "\n",
       "  Does your employer offer resources to learn more about mental health disorders and options for seeking help?  \\\n",
       "0                                       I don't know                                                             \n",
       "1                                                Yes                                                             \n",
       "2                                       I don't know                                                             \n",
       "3                                                NaN                                                             \n",
       "4                                                Yes                                                             \n",
       "\n",
       "  Is your anonymity protected if you choose to take advantage of mental health or substance abuse treatment resources provided by your employer?  \\\n",
       "0                                       I don't know                                                                                               \n",
       "1                                                Yes                                                                                               \n",
       "2                                       I don't know                                                                                               \n",
       "3                                                NaN                                                                                               \n",
       "4                                       I don't know                                                                                               \n",
       "\n",
       "  If a mental health issue prompted you to request a medical leave from work, how easy or difficult would it be to ask for that leave?  \\\n",
       "0                                          Very easy                                                                                     \n",
       "1                                       I don't know                                                                                     \n",
       "2                                      Somewhat easy                                                                                     \n",
       "3                                                NaN                                                                                     \n",
       "4                                          Difficult                                                                                     \n",
       "\n",
       "   ... What country do you live in?  \\\n",
       "0  ...     United States of America   \n",
       "1  ...                       Brazil   \n",
       "2  ...                       Brazil   \n",
       "3  ...                        Italy   \n",
       "4  ...                       Canada   \n",
       "\n",
       "  What US state or territory do you live in?  What is your race?  \\\n",
       "0                                     Alaska               White   \n",
       "1                                        NaN                 NaN   \n",
       "2                                        NaN                 NaN   \n",
       "3                                        NaN                 NaN   \n",
       "4                                        NaN                 NaN   \n",
       "\n",
       "  What country do you work in?  What US state or territory do you work in?  \\\n",
       "0     United States of America                                      Alaska   \n",
       "1                       Brazil                                         NaN   \n",
       "2                       Brazil                                         NaN   \n",
       "3                        Italy                                         NaN   \n",
       "4                       Canada                                         NaN   \n",
       "\n",
       "   Have you been diagnosed with COVID-19?  \\\n",
       "0                                     NaN   \n",
       "1                                     NaN   \n",
       "2                                     NaN   \n",
       "3                                     NaN   \n",
       "4                                     NaN   \n",
       "\n",
       "   What disorder(s) have you been diagnosed with?  \\\n",
       "0                                             NaN   \n",
       "1                                             NaN   \n",
       "2                                             NaN   \n",
       "3                                             NaN   \n",
       "4                                             NaN   \n",
       "\n",
       "   If possibly, what disorder(s) do you believe you have?  \\\n",
       "0  Anxiety Disorder (Generalized, Social, Phobia,...        \n",
       "1                                                NaN        \n",
       "2                                                NaN        \n",
       "3                                                NaN        \n",
       "4                                                NaN        \n",
       "\n",
       "   If so, what disorder(s) were you diagnosed with?  \\\n",
       "0                                               NaN   \n",
       "1                                               NaN   \n",
       "2                                               NaN   \n",
       "3                                               NaN   \n",
       "4                                               NaN   \n",
       "\n",
       "                                            comments  \n",
       "0                                                NaN  \n",
       "1                                                NaN  \n",
       "2  Something about been stressed about deadlines,...  \n",
       "3                                              lk, j  \n",
       "4                                     understandable  \n",
       "\n",
       "[5 rows x 71 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_2021.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "370b138d",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_2021 = data_2021[sorted(data_2021.columns)]\n",
    "data_2021.head()\n",
    "data_2021.to_csv(final_2021)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "78751c21",
   "metadata": {},
   "outputs": [
    {
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       "      <th>Are you openly identified at work as a person with a mental health issue?</th>\n",
       "      <th>Are you self-employed?</th>\n",
       "      <th>Did you ever discuss your mental health with a previous coworker(s)?</th>\n",
       "      <th>Did you ever discuss your mental health with your previous employer?</th>\n",
       "      <th>Did you ever have a previous coworker discuss their or another coworker's mental health with you?</th>\n",
       "      <th>Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?</th>\n",
       "      <th>Did your previous employers provide resources to learn more about mental health disorders and how to seek help?</th>\n",
       "      <th>Do you believe your productivity is ever affected by a mental health issue?</th>\n",
       "      <th>Do you currently have a mental health disorder?</th>\n",
       "      <th>Do you have a family history of mental illness?</th>\n",
       "      <th>...</th>\n",
       "      <th>What is your race?</th>\n",
       "      <th>Would you be willing to bring up a physical health issue with a potential employer in an interview?</th>\n",
       "      <th>Would you bring up your mental health with a potential employer in an interview?</th>\n",
       "      <th>Would you feel comfortable discussing a mental health issue with your coworkers?</th>\n",
       "      <th>Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?</th>\n",
       "      <th>Would you feel more comfortable talking to your coworkers about your physical health or your mental health?</th>\n",
       "      <th>Would you have been willing to discuss your mental health with your coworkers at previous employers?</th>\n",
       "      <th>Would you have been willing to discuss your mental health with your direct supervisor(s)?</th>\n",
       "      <th>Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?</th>\n",
       "      <th>comments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Some did</td>\n",
       "      <td>Some did</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Possibly</td>\n",
       "      <td>I don't know</td>\n",
       "      <td>...</td>\n",
       "      <td>White</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Physical health</td>\n",
       "      <td>Yes, at all of my previous employers</td>\n",
       "      <td>Some of my previous supervisors</td>\n",
       "      <td>Mental health</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None did</td>\n",
       "      <td>Some did</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Physical health</td>\n",
       "      <td>No, at none of my previous employers</td>\n",
       "      <td>No, none of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None did</td>\n",
       "      <td>None did</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>No, none of my previous supervisors</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>Something about been stressed about deadlines,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>Don't Know</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>lk, j</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Yes, they all did</td>\n",
       "      <td>Yes, they all did</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Physical health</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>Some of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "      <td>understandable</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 71 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Are you openly identified at work as a person with a mental health issue?  \\\n",
       "0                                                  0                           \n",
       "1                                                  0                           \n",
       "2                                                  0                           \n",
       "3                                                  0                           \n",
       "4                                                  0                           \n",
       "\n",
       "   Are you self-employed?  \\\n",
       "0                       0   \n",
       "1                       0   \n",
       "2                       0   \n",
       "3                       1   \n",
       "4                       0   \n",
       "\n",
       "   Did you ever discuss your mental health with a previous coworker(s)?  \\\n",
       "0                                                1.0                      \n",
       "1                                                0.0                      \n",
       "2                                                0.0                      \n",
       "3                                                NaN                      \n",
       "4                                                1.0                      \n",
       "\n",
       "   Did you ever discuss your mental health with your previous employer?  \\\n",
       "0                                                0.0                      \n",
       "1                                                1.0                      \n",
       "2                                                0.0                      \n",
       "3                                                NaN                      \n",
       "4                                                0.0                      \n",
       "\n",
       "   Did you ever have a previous coworker discuss their or another coworker's mental health with you?  \\\n",
       "0                                                1.0                                                   \n",
       "1                                                0.0                                                   \n",
       "2                                                0.0                                                   \n",
       "3                                                NaN                                                   \n",
       "4                                                1.0                                                   \n",
       "\n",
       "  Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?  \\\n",
       "0                                           Some did                                                                                  \n",
       "1                                           None did                                                                                  \n",
       "2                                           None did                                                                                  \n",
       "3                                                NaN                                                                                  \n",
       "4                                  Yes, they all did                                                                                  \n",
       "\n",
       "  Did your previous employers provide resources to learn more about mental health disorders and how to seek help?  \\\n",
       "0                                           Some did                                                                \n",
       "1                                           Some did                                                                \n",
       "2                                           None did                                                                \n",
       "3                                                NaN                                                                \n",
       "4                                  Yes, they all did                                                                \n",
       "\n",
       "  Do you believe your productivity is ever affected by a mental health issue?  \\\n",
       "0                                                NaN                            \n",
       "1                                                NaN                            \n",
       "2                                                NaN                            \n",
       "3                                                 No                            \n",
       "4                                                NaN                            \n",
       "\n",
       "  Do you currently have a mental health disorder?  \\\n",
       "0                                        Possibly   \n",
       "1                                              No   \n",
       "2                                              No   \n",
       "3                                      Don't Know   \n",
       "4                                              No   \n",
       "\n",
       "  Do you have a family history of mental illness?  ...  What is your race?  \\\n",
       "0                                    I don't know  ...               White   \n",
       "1                                              No  ...                 NaN   \n",
       "2                                              No  ...                 NaN   \n",
       "3                                             Yes  ...                 NaN   \n",
       "4                                              No  ...                 NaN   \n",
       "\n",
       "   Would you be willing to bring up a physical health issue with a potential employer in an interview?  \\\n",
       "0                                                Yes                                                     \n",
       "1                                              Maybe                                                     \n",
       "2                                              Maybe                                                     \n",
       "3                                                 No                                                     \n",
       "4                                                 No                                                     \n",
       "\n",
       "  Would you bring up your mental health with a potential employer in an interview?  \\\n",
       "0                                                 No                                 \n",
       "1                                                 No                                 \n",
       "2                                              Maybe                                 \n",
       "3                                              Maybe                                 \n",
       "4                                                 No                                 \n",
       "\n",
       "  Would you feel comfortable discussing a mental health issue with your coworkers?  \\\n",
       "0                                                 No                                 \n",
       "1                                              Maybe                                 \n",
       "2                                                Yes                                 \n",
       "3                                                NaN                                 \n",
       "4                                              Maybe                                 \n",
       "\n",
       "  Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?  \\\n",
       "0                                              Maybe                                            \n",
       "1                                                 No                                            \n",
       "2                                              Maybe                                            \n",
       "3                                                NaN                                            \n",
       "4                                                 No                                            \n",
       "\n",
       "  Would you feel more comfortable talking to your coworkers about your physical health or your mental health?  \\\n",
       "0                                    Physical health                                                            \n",
       "1                                    Physical health                                                            \n",
       "2                     Same level of comfort for each                                                            \n",
       "3                                                NaN                                                            \n",
       "4                                    Physical health                                                            \n",
       "\n",
       "   Would you have been willing to discuss your mental health with your coworkers at previous employers?  \\\n",
       "0               Yes, at all of my previous employers                                                      \n",
       "1               No, at none of my previous employers                                                      \n",
       "2                   At some of my previous employers                                                      \n",
       "3                                                NaN                                                      \n",
       "4                   At some of my previous employers                                                      \n",
       "\n",
       "  Would you have been willing to discuss your mental health with your direct supervisor(s)?  \\\n",
       "0                    Some of my previous supervisors                                          \n",
       "1                No, none of my previous supervisors                                          \n",
       "2                No, none of my previous supervisors                                          \n",
       "3                                                NaN                                          \n",
       "4                    Some of my previous supervisors                                          \n",
       "\n",
       "   Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?  \\\n",
       "0                                      Mental health                                                                          \n",
       "1                                    Physical health                                                                          \n",
       "2                     Same level of comfort for each                                                                          \n",
       "3                                                NaN                                                                          \n",
       "4                                    Physical health                                                                          \n",
       "\n",
       "                                            comments  \n",
       "0                                                NaN  \n",
       "1                                                NaN  \n",
       "2  Something about been stressed about deadlines,...  \n",
       "3                                              lk, j  \n",
       "4                                     understandable  \n",
       "\n",
       "[5 rows x 71 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_2021.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0a324a8",
   "metadata": {},
   "source": [
    "# Aggregating Datasets for the Years 2017-2021"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ec17df5f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Rseading the datasets\n",
    "df1=pd.read_csv(r'C:\\Users\\Lenovo\\Desktop\\ML App\\final_2017.csv')\n",
    "df2=pd.read_csv(r'C:\\Users\\Lenovo\\Desktop\\ML App\\final_2018.csv')\n",
    "df3=pd.read_csv(r'C:\\Users\\Lenovo\\Desktop\\ML App\\final_2019.csv')\n",
    "df4=pd.read_csv(r'C:\\Users\\Lenovo\\Desktop\\ML App\\final_2020.csv')\n",
    "df5=pd.read_csv(r'C:\\Users\\Lenovo\\Desktop\\ML App\\final_2021.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "33c5f67e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "279cb607",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(756, 71) (417, 71) (352, 71) (180, 71) (131, 72)\n"
     ]
    }
   ],
   "source": [
    "print(df1.shape,df2.shape,df3.shape, df4.shape, df5.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e34202df",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Adding timestamp to the dataframes since we want to include time in our analysis\n",
    "df1.insert(loc=0, column='Timestamp', value='2017')\n",
    "df2.insert(loc=0, column='Timestamp', value='2018')\n",
    "df3.insert(loc=0, column='Timestamp', value='2019')\n",
    "df4.insert(loc=0, column='Timestamp', value='2020')\n",
    "df5.insert(loc=0, column='Timestamp', value='2021')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f538cfc6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Assuming df1, df2, df3, df4, and df5 are your DataFrames\n",
    "dfs = [df1, df2, df3, df4, df5]\n",
    "\n",
    "# Concatenate DataFrames\n",
    "df = pd.concat(dfs, ignore_index=True, join='outer')\n",
    "\n",
    "# Clean and standardize the 'What is your gender?' column\n",
    "df['What is your gender?'] = df['What is your gender?'].str.strip().str.lower()  # Remove leading/trailing whitespace and convert to lowercase"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a3321c02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1836, 73)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "9901ecef",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.loc[:,~df.columns.duplicated()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "bc05bda1",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1836, 73)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "f665b7e9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Timestamp', 'Unnamed: 0',\n",
      "       'Are you openly identified at work as a person with a mental health issue?',\n",
      "       'Are you self-employed?',\n",
      "       'Did you ever discuss your mental health with a previous coworker(s)?',\n",
      "       'Did you ever discuss your mental health with your previous employer?',\n",
      "       'Did you ever have a previous coworker discuss their or another coworker's mental health with you?',\n",
      "       'Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?',\n",
      "       'Did your previous employers provide resources to learn more about mental health disorders and how to seek help?',\n",
      "       'Do you believe your productivity is ever affected by a mental health issue?',\n",
      "       'Do you currently have a mental health disorder?',\n",
      "       'Do you have a family history of mental illness?',\n",
      "       'Do you have medical coverage (private insurance or state-provided) that includes treatment of mental health disorders?',\n",
      "       'Do you have previous employers?',\n",
      "       'Do you know local or online resources to seek help for a mental health issue?',\n",
      "       'Do you know the options for mental health care available under your employer-provided health coverage?',\n",
      "       'Does your employer offer resources to learn more about mental health disorders and options for seeking help?',\n",
      "       'Does your employer provide mental health benefits as part of healthcare coverage?',\n",
      "       'Has being identified as a person with a mental health issue affected your career?',\n",
      "       'Has your employer ever formally discussed mental health (for example, as part of a wellness campaign or other official communication)?',\n",
      "       'Have you ever been diagnosed with a mental health disorder?',\n",
      "       'Have you ever discussed your mental health with coworkers?',\n",
      "       'Have you ever discussed your mental health with your employer?',\n",
      "       'Have you ever had a coworker discuss their or another coworker's mental health with you?',\n",
      "       'Have you ever sought treatment for a mental health disorder from a mental health professional?',\n",
      "       'Have you had a mental health disorder in the past?',\n",
      "       'Have you observed or experienced a supportive or well handled response to a mental health issue in your current or previous workplace?',\n",
      "       'Have you observed or experienced an unsupportive or badly handled response to a mental health issue in your current or previous workplace?',\n",
      "       'Have your observations of how another individual who discussed a mental health issue made you less likely to reveal a mental health issue yourself in your current workplace?',\n",
      "       'Have your previous employers provided mental health benefits?',\n",
      "       'How has it affected your career?',\n",
      "       'How many employees does your company or organization have?',\n",
      "       'How willing would you be to share with friends and family that you have a mental illness?',\n",
      "       'If a mental health issue prompted you to request a medical leave from work, how easy or difficult would it be to ask for that leave?',\n",
      "       'If possibly, what disorder(s) do you believe you have?',\n",
      "       'If so, what disorder(s) were you diagnosed with?',\n",
      "       'If they knew you suffered from a mental health disorder, how do you think that your team members/co-workers would react?',\n",
      "       'If yes, what percentage of your work time (time performing primary or secondary job functions) is affected by a mental health issue?',\n",
      "       'If you have a mental health disorder, how often do you feel that it interferes with your work when NOT being treated effectively (i.e., when you are experiencing symptoms)?',\n",
      "       'If you have a mental health disorder, how often do you feel that it interferes with your work when being treated effectively?',\n",
      "       'If you have been diagnosed or treated for a mental health disorder, do you ever reveal this to clients or business contacts?',\n",
      "       'If you have been diagnosed or treated for a mental health disorder, do you ever reveal this to coworkers or employees?',\n",
      "       'If you have revealed a mental health disorder to a client or business contact, how has this affected you or the relationship?',\n",
      "       'If you have revealed a mental health disorder to a coworker or employee, how has this impacted you or the relationship?',\n",
      "       'Is your anonymity protected if you choose to take advantage of mental health or substance abuse treatment resources provided by your employer?',\n",
      "       'Is your employer primarily a tech company/organization?',\n",
      "       'Is your primary role within your company related to tech/IT?',\n",
      "       'Overall, how much importance did your previous employer place on mental health?',\n",
      "       'Overall, how much importance did your previous employer place on physical health?',\n",
      "       'Overall, how much importance does your employer place on mental health?',\n",
      "       'Overall, how much importance does your employer place on physical health?',\n",
      "       'Overall, how well do you think the tech industry supports employees with mental health issues?',\n",
      "       'Was your anonymity protected if you chose to take advantage of mental health or substance abuse treatment resources with previous employers?',\n",
      "       'Was your employer primarily a tech company/organization?',\n",
      "       'Were you aware of the options for mental health care provided by your previous employers?',\n",
      "       'What US state or territory do you live in?',\n",
      "       'What US state or territory do you work in?',\n",
      "       'What country do you live in?', 'What country do you work in?',\n",
      "       'What disorder(s) have you been diagnosed with?', 'What is your age?',\n",
      "       'What is your gender?', 'What is your race?',\n",
      "       'Would you be willing to bring up a physical health issue with a potential employer in an interview?',\n",
      "       'Would you bring up your mental health with a potential employer in an interview?',\n",
      "       'Would you feel comfortable discussing a mental health issue with your coworkers?',\n",
      "       'Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?',\n",
      "       'Would you feel more comfortable talking to your coworkers about your physical health or your mental health?',\n",
      "       'Would you have been willing to discuss your mental health with your coworkers at previous employers?',\n",
      "       'Would you have been willing to discuss your mental health with your direct supervisor(s)?',\n",
      "       'Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?',\n",
      "       'comments', 'Have you been diagnosed with COVID-19?'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(df.columns)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6e21691",
   "metadata": {},
   "source": [
    "## Cleaning the Merged Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53f56487",
   "metadata": {},
   "source": [
    "### Dealing with Null Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "79e092de",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dcabf7ba",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "871ad7a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(r'C:\\Users\\Lenovo\\Desktop\\ML App\\final.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "92549014",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "\n",
    "# Convert the 'What is your age?' column to numeric, coercing non-numeric values to NaN\n",
    "df['What is your age?'] = pd.to_numeric(df['What is your age?'], errors='coerce')\n",
    "\n",
    "# Remove rows with NaN values in the 'What is your age?' column\n",
    "df = df.dropna(subset=['What is your age?'])\n",
    "\n",
    "# Set the figure size\n",
    "plt.figure(figsize=(10, 5))\n",
    "\n",
    "# Plot a countplot for age with organized X-axis labels\n",
    "age = sns.countplot(data=df, x='What is your age?', order=sorted(df['What is your age?'].unique()))\n",
    "\n",
    "# Set a title\n",
    "age.set_title('Analyzing the attribute Age before preprocessing')\n",
    "\n",
    "# Set X-axis labels and ticks from 0 to the oldest age\n",
    "plt.xticks(range(len(df['What is your age?'].unique())), sorted(df['What is your age?'].unique()))\n",
    "\n",
    "# Rotate and align X-axis labels for better readability\n",
    "age.set_xticklabels(age.get_xticklabels(), rotation=45, ha=\"right\")\n",
    "\n",
    "# Show the plot\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "76e4f112",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unique values:\n",
      " [ 27.  31.  36.  22.  52.  30.  38.  35.  40.  23.  34.  28.  53.  21.\n",
      "  18.  37.  25.  33.  66.  32.  46.  29.  39.  42.  43.  47.  64.  45.\n",
      "  54.  61.  26.  44.  50.  24.  57.  48.  41.  20.  49.  62.  51.  60.\n",
      "  58.  59.  67.  56.  55.  19.  65.   0.  63.   5.   1.  11. 223.]\n"
     ]
    }
   ],
   "source": [
    "# Get the unique values of ages\n",
    "print(\"Unique values:\\n\", df['What is your age?'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "670eed58",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Responses with ages less than 18:\n",
      "1287     0.0\n",
      "1530     5.0\n",
      "1531     1.0\n",
      "1739    11.0\n",
      "Name: What is your age?, dtype: float64\n",
      "\n",
      "Responses with ages more than 80:\n",
      "1743    223.0\n",
      "Name: What is your age?, dtype: float64\n",
      "\n",
      "Null responses: 0\n"
     ]
    }
   ],
   "source": [
    "# How many dubious values of ages of each type do we have?\n",
    "print(\"Responses with ages less than 18:\")\n",
    "print(df[df['What is your age?'] < 18]['What is your age?'])\n",
    "print(\"\\nResponses with ages more than 80:\")\n",
    "print(df[df['What is your age?'] > 80]['What is your age?'])\n",
    "print(\"\\nNull responses:\", df['What is your age?'].isnull().sum())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "557689fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    1834.000000\n",
       "mean       34.773173\n",
       "std         8.553150\n",
       "min        18.000000\n",
       "25%        28.000000\n",
       "50%        34.000000\n",
       "75%        40.000000\n",
       "max        67.000000\n",
       "Name: What is your age?, dtype: float64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Replace values of ages less than 18 and more than 80 with the median\n",
    "\n",
    "# Calculate previous median\n",
    "median_without_dubious = df.loc[ (df['What is your age?'] > 18) | (df['What is your age?'] < 80), 'What is your age?'].median()\n",
    "\n",
    "# Replace dubious values with median\n",
    "df.loc[ (df['What is your age?'] < 18) | (df['What is your age?'] > 80), 'What is your age?'] = median_without_dubious\n",
    "\n",
    "# Describe the attribute to analyze min and max\n",
    "df['What is your age?'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "6f0e5c81",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot a histogram for the values of ages after preprocessing\n",
    "plt.rcParams[\"figure.figsize\"] = (10, 5)\n",
    "age = sns.countplot(data=df, x='What is your age?')\n",
    "age.set_title('Analyzing the attribute Age after preprocessing')\n",
    "age.set_xticklabels(age.get_xticklabels(), rotation=40, ha=\"right\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7caafa8e",
   "metadata": {},
   "source": [
    "**Analysis**\n",
    "\n",
    "The graph for the continuous Age attribute is a **positively skewed histogram**. Many people fall into the age 30 and 33 bins."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4686d05d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unique values:\n",
      " [27. 31. 36. 22. 52. 30. 38. 35. 40. 23. 34. 28. 53. 21. 18. 37. 25. 33.\n",
      " 66. 32. 46. 29. 39. 42. 43. 47. 64. 45. 54. 61. 26. 44. 50. 24. 57. 48.\n",
      " 41. 20. 49. 62. 51. 60. 58. 59. 67. 56. 55. 19. 65. 63.]\n"
     ]
    }
   ],
   "source": [
    "# Get the unique values of ages\n",
    "print(\"Unique values:\\n\", df['What is your age?'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6fed8e03",
   "metadata": {},
   "source": [
    "### Gender attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "d441cdad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "26"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Are there any null values?\n",
    "df['What is your gender?'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "ddc43333",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['female', 'male', 'f', 'm', 'man', nan, 'genderfluid', 'nonbinary',\n",
       "       'cis-male', 'mail', 'woman', 'male/androgynous', 'cis hetero male',\n",
       "       'femalw', 'femail', 'male (cis)', 'uhhhhhhhhh fem genderqueer?',\n",
       "       \"male (hey this is the tech industry you're talking about)\",\n",
       "       'female (cis)', 'god king of the valajar', 'cis male',\n",
       "       'my sex is female.', 'non-binary', 'male, cis',\n",
       "       'agender/genderfluid', 'male-ish', 'sometimes',\n",
       "       'female (cisgender)', 'woman-identified', 'contextual',\n",
       "       'non binary', 'genderqueer demigirl', 'genderqueer/non-binary',\n",
       "       'cis-female', 'cis female', 'f, cisgender', 'female-ish', '\\\\-',\n",
       "       'trans woman', 'transfeminine', 'dude', 'ostensibly male',\n",
       "       'agender', 'male, born with xy chromosoms', 'malel',\n",
       "       'i identify as female', '*shrug emoji* (f)',\n",
       "       'male (or female, or both)', 'trans man', 'transgender',\n",
       "       'female/gender non-binary.', 'cis woman', 'cisgendered woman',\n",
       "       'genderqueer', 'demiguy', 'none', 'trans female', 'cisgender male',\n",
       "       'she/her/they/them', 'other', 'swm', 'cisgender female', 'nb',\n",
       "       'nonbinary/femme', 'gender non-conforming woman',\n",
       "       'let\\'s keep it simple and say \"male\"', 'identify as male',\n",
       "       'masculine', 'cishet male', 'female-identified', 'questioning',\n",
       "       'i have a penis', 'rr', 'agender trans woman', 'femmina', '43',\n",
       "       'masculino', 'i am a wookie', 'make',\n",
       "       'trans non-binary/genderfluid', 'non-binary and gender fluid',\n",
       "       'femile', 'female, she/her', 'mostly male', 'afab non-binary', 'b',\n",
       "       'male/he/him', 'homem cis', 'cis-het male', 'non-binary/agender'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# What are the unique values in the Gender column?\n",
    "df['What is your gender?'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "a683525e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove the records with those attribute values\n",
    "df = df[~df['What is your gender?'].isin(['rr', '43'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "d14e8a0b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     1806\n",
       "unique       3\n",
       "top       male\n",
       "freq      1192\n",
       "Name: What is your gender?, dtype: object"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Replace the strings with the values of bins we require\n",
    "# Group all related strings into bins\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# Group into Female bin\n",
    "df[\"What is your gender?\"] = df[\"What is your gender?\"].str.lower()\n",
    "df['What is your gender?'].replace(['f','female ', 'femalw', 'femail', 'female (cis)', 'female (cis) ','cis female ',\n",
    "                            'my sex is female.', 'female (cisgender)', 'woman-identified', 'cis-female', \n",
    "                            'cis female', 'f, cisgender', 'female-ish', 'trans woman', 'i identify as female',\n",
    "                            '*shrug emoji* (f)', 'cis woman', 'cisgendered woman', 'trans female', 'woman',\n",
    "                            'cisgender female','female, she/her','female-identified','femmina','femile'], 'female', inplace=True)\n",
    "\n",
    "# Group into Male bin\n",
    "df[\"What is your gender?\"].replace(['m', 'man', 'cis-male', 'mail', 'male/androgynous ','cis hetero male', \n",
    "                            'male (cis)','male (hey this is the tech industry you\\'re talking about)',\n",
    "                            'god king of the valajar', 'cis male', 'male ', 'male, cis', 'cis male ',\n",
    "                            'male-ish','dude','ostensibly male','male, born with xy chromosoms','malel', \n",
    "                            'trans man','cisgender male', 'swm',\"let's keep it simple and say 'male'\",'identify as male','masculino','mostly male','cishet male','i have a penis','masculine','male/androgynous','let\\'s keep it simple and say \"male\"','make','male/he/him', 'homem cis', 'cis-het male'], \"male\", inplace=True)\n",
    "\n",
    "# Group into Other bin\n",
    "df[\"What is your gender?\"].replace(['gender non-binary/other','nonbinary','non-binary','non binary','uhhhhhhhhh fem genderqueer?',\n",
    "                            'agender/genderfluid','sometimes','contextual','genderqueer demigirl','genderqueer/non-binary',\n",
    "                            '\\\\-','transfeminine','agender','male (or female, or both)','female/gender non-binary.', \n",
    "                            'genderqueer','demiguy','she/her/they/them','other','nonbinary/femme','genderfluid', 'none',\n",
    "                           'transgender', 'nb', 'gender non-conforming woman','trans non-binary/genderfluid','questioning','i am a wookie','non-binary and gender fluid','rr','43','agender trans woman', 'afab non-binary', 'b', 'non-binary/agender'], \n",
    "                           \"other\", inplace=True)\n",
    "\n",
    "df['What is your gender?'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "b911bc24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['female', 'male', nan, 'other'], dtype=object)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# What are the unique values in the Gender column?\n",
    "df['What is your gender?'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "6917281e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['What is your gender?'].fillna(value=\"male\", inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4139905b",
   "metadata": {},
   "source": [
    "We will fill all Nan with male since majority of people who filled the questionnaire are male"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "b25e70ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "What is your gender?\n",
       "male      1218\n",
       "female     565\n",
       "other       49\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Viewing the counts of each type\n",
    "df['What is your gender?'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "3b70d7cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x17a107a5650>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualizing the proportion of genders\n",
    "fig, ax = plt.subplots()\n",
    "labels = ['Male', \n",
    "         'Female',\n",
    "         'Other']\n",
    "male_perc = (df['What is your gender?'] == 'male').sum() / df['What is your gender?'].count()\n",
    "female_perc = (df['What is your gender?'] == 'female').sum() / df['What is your gender?'].count()\n",
    "other_perc = (df['What is your gender?'] == 'other').sum() / df['What is your gender?'].count()\n",
    "\n",
    "percentages = [male_perc, female_perc, other_perc]\n",
    "\n",
    "ax.pie(percentages, labels=labels,  \n",
    "       autopct='%1.0f%%', \n",
    "       shadow=False, startangle=0,   \n",
    "       pctdistance=1.2,labeldistance=1.4)\n",
    "ax.axis('equal')\n",
    "ax.set_title(\"Gender values after Preprocessing\")\n",
    "ax.legend(frameon=False, bbox_to_anchor=(1.5,0.8))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db26edd2",
   "metadata": {},
   "source": [
    "As the plot suggests, male responders far outnumber the female and other responders. This is a point to keep in mind as we work on our models in the future."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d3a39a0",
   "metadata": {},
   "source": [
    "### 4. Dealing with the `comments` attribute"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4516991",
   "metadata": {},
   "source": [
    "Viewing comments after droping rows with missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "1bdea323",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spoke about my anxiety they were very supportive, they spoke about their depress\n",
      "the coworker was comprehensive, empathetic and understanding, a discussion about\n",
      "The conversation went well, he too suffers mental illness... however, I was just\n",
      "Direct Manager and HR know because of medication. No real reactions, Coworkers t\n",
      "I'm in mental heatlh so I talk about it often., They talked about as caregivers \n",
      "Awareness, changed work schedules and expectations\n",
      "I've talked about my depression with coworkers in the past. They were good liste\n",
      "One of my coworkers took a month off due to burn out and we talked about it afte\n",
      "Don’t know \n",
      "ok, OK, ok, ok, ok\n",
      "I needed to discuss accommodations due to Autism and ADHD.  The conversation was\n",
      "Several times I've seen people with depression or other mental problems be fired\n",
      "Are you OK?\n",
      "Yeup, What's up, guys?\n",
      "I think that the opportunity to have mental health sick leave should be just as \n",
      "\"I suffer from extreme anxiety and ADD, and take medication for both. Sometimes \n",
      "A few former coworkers have become friends and so we've had a few honest convers\n",
      "polite, he had a problem shouting all of you, some employee need treatment, good\n",
      "Raise awareness and offer services, Good mental health is vital to complete good\n",
      "Awareness & open talks to lower the obstacle of talking about it.\n",
      "My coworker was brave enough to share with me that they have Bipolar disorder, d\n",
      "discussed previous issues with depression and how that forced them to leave the \n",
      "I have PTSD and am currently in the middle of a series of flashbacks brought on \n",
      "On my second day of work, I had a breakdown and was unable to enter the building\n",
      "We have ZERO coverage for any mental health counselling. It all comes from a sha\n",
      "I asked a coworker for a referral to a therapist., A new hire exhibited symptoms\n",
      "When I had to miss work because I was having a difficult reaction to starting a \n",
      "Coworkers have described symptons, treatment, and general effects of having Anxi\n",
      "The conversation I’m referring to was very two-way, i.e. we were basically talki\n",
      "I was blocking out some periods of time during work days as \"busy\" on my calenda\n",
      "I needed to take 3 weeks off due to major panic / anxiety disorder.  The HR mana\n"
     ]
    }
   ],
   "source": [
    "for count, i in enumerate(df['comments'].dropna()):\n",
    "    if count < 30:\n",
    "        print(i[:80])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15bab7be",
   "metadata": {},
   "source": [
    "### 5 .Dealing with `race` attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "ad4aea85",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
      "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_22600\\1422248681.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "732"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cleaning up racial responses\n",
    "hispanics = [\"Hispanic\",\"Hispanic or Latino\",\"Latina\",\"Latino\",\"Latinx\",\"mexican american \"]\n",
    "no_answer = [\"Did not answer\",\"I prefer not to answer\",\n",
    "             \"I am of the race of Adam, the first human.\"]\n",
    "mixed = [\"Mixed\",\"More than one of the above\",\"Hispanic, White\",\"Mestizo\"]\n",
    "jewish = [\"Jewish\",\"Ashkenazi\"]\n",
    "caucasian = [\"Caucasian\",\"White\",\"European American\",\n",
    "             \"My race is white, but my ethnicity is Latin American\"]\n",
    "caribbean = [\"Caribbean\",\"Indo-Caribbean\",\"West Indian\"]\n",
    "asian = [\"Asian\",\"South Asian\"]\n",
    "aa = [\"Afrcian American\",\"Black or African American\"]\n",
    "\n",
    "race_list = [hispanics,no_answer,mixed,jewish,caucasian,caribbean,asian,aa]\n",
    "\n",
    "for race in race_list:\n",
    "    for num,info in enumerate(race):\n",
    "        if num > 0:\n",
    "            df[\"What is your race?\"][df[\"What is your race?\"]==info] = race[0]\n",
    "df['What is your race?'].isna().sum()\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "a7f7c785",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What is your race?\n",
      "Caucasian                           958\n",
      "Asian                                55\n",
      "Mixed                                37\n",
      "Did not answer                       30\n",
      "Afrcian American                     17\n",
      "American Indian or Alaska Native      1\n",
      "Hispanic                              1\n",
      "White Hispanic                        1\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(df['What is your race?'].value_counts())\n",
    "df['What is your race?'].fillna(value=\"Caucasian\", inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1db3ecb1",
   "metadata": {},
   "source": [
    "## Dealing with missing values of rating column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "dc687c6a",
   "metadata": {},
   "outputs": [],
   "source": [
    "median = np.median(df['Overall, how well do you think the tech industry supports employees with mental health issues?'][df['Overall, how well do you think the tech industry supports employees with mental health issues?'].isna()==False])\n",
    "df['Overall, how well do you think the tech industry supports employees with mental health issues?'].fillna(median,inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e26d87c2",
   "metadata": {},
   "source": [
    "### 5 .Dealing with `employee` attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "8030bc86",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "How many employees does your company or organization have?\n",
      "More than 1000    494\n",
      "100-500           409\n",
      "26-100            291\n",
      "6-25              210\n",
      "500-1000          135\n",
      "1-5                37\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "256"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(df['How many employees does your company or organization have?'].value_counts())\n",
    "df['How many employees does your company or organization have?'].isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "1020c4ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['How many employees does your company or organization have?'].fillna(0,inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57507da7",
   "metadata": {},
   "source": [
    "We replace all the nan values by 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "cb5effd2",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(columns=['comments'], inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a568cc92",
   "metadata": {},
   "source": [
    "About 70% of the `comments` column is empty hence we drop the comments section too"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "e6462562",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Timestamp', 'Unnamed: 0',\n",
       "       'Are you openly identified at work as a person with a mental health issue?',\n",
       "       'Are you self-employed?',\n",
       "       'Did you ever discuss your mental health with a previous coworker(s)?',\n",
       "       'Did you ever discuss your mental health with your previous employer?',\n",
       "       'Did you ever have a previous coworker discuss their or another coworker's mental health with you?',\n",
       "       'Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?',\n",
       "       'Did your previous employers provide resources to learn more about mental health disorders and how to seek help?',\n",
       "       'Do you believe your productivity is ever affected by a mental health issue?',\n",
       "       'Do you currently have a mental health disorder?',\n",
       "       'Do you have a family history of mental illness?',\n",
       "       'Do you have medical coverage (private insurance or state-provided) that includes treatment of mental health disorders?',\n",
       "       'Do you have previous employers?',\n",
       "       'Do you know local or online resources to seek help for a mental health issue?',\n",
       "       'Do you know the options for mental health care available under your employer-provided health coverage?',\n",
       "       'Does your employer offer resources to learn more about mental health disorders and options for seeking help?',\n",
       "       'Does your employer provide mental health benefits as part of healthcare coverage?',\n",
       "       'Has being identified as a person with a mental health issue affected your career?',\n",
       "       'Has your employer ever formally discussed mental health (for example, as part of a wellness campaign or other official communication)?',\n",
       "       'Have you ever been diagnosed with a mental health disorder?',\n",
       "       'Have you ever discussed your mental health with coworkers?',\n",
       "       'Have you ever discussed your mental health with your employer?',\n",
       "       'Have you ever had a coworker discuss their or another coworker's mental health with you?',\n",
       "       'Have you ever sought treatment for a mental health disorder from a mental health professional?',\n",
       "       'Have you had a mental health disorder in the past?',\n",
       "       'Have you observed or experienced a supportive or well handled response to a mental health issue in your current or previous workplace?',\n",
       "       'Have you observed or experienced an unsupportive or badly handled response to a mental health issue in your current or previous workplace?',\n",
       "       'Have your observations of how another individual who discussed a mental health issue made you less likely to reveal a mental health issue yourself in your current workplace?',\n",
       "       'Have your previous employers provided mental health benefits?',\n",
       "       'How has it affected your career?',\n",
       "       'How many employees does your company or organization have?',\n",
       "       'How willing would you be to share with friends and family that you have a mental illness?',\n",
       "       'If a mental health issue prompted you to request a medical leave from work, how easy or difficult would it be to ask for that leave?',\n",
       "       'If possibly, what disorder(s) do you believe you have?',\n",
       "       'If so, what disorder(s) were you diagnosed with?',\n",
       "       'If they knew you suffered from a mental health disorder, how do you think that your team members/co-workers would react?',\n",
       "       'If yes, what percentage of your work time (time performing primary or secondary job functions) is affected by a mental health issue?',\n",
       "       'If you have a mental health disorder, how often do you feel that it interferes with your work when NOT being treated effectively (i.e., when you are experiencing symptoms)?',\n",
       "       'If you have a mental health disorder, how often do you feel that it interferes with your work when being treated effectively?',\n",
       "       'If you have been diagnosed or treated for a mental health disorder, do you ever reveal this to clients or business contacts?',\n",
       "       'If you have been diagnosed or treated for a mental health disorder, do you ever reveal this to coworkers or employees?',\n",
       "       'If you have revealed a mental health disorder to a client or business contact, how has this affected you or the relationship?',\n",
       "       'If you have revealed a mental health disorder to a coworker or employee, how has this impacted you or the relationship?',\n",
       "       'Is your anonymity protected if you choose to take advantage of mental health or substance abuse treatment resources provided by your employer?',\n",
       "       'Is your employer primarily a tech company/organization?',\n",
       "       'Is your primary role within your company related to tech/IT?',\n",
       "       'Overall, how much importance did your previous employer place on mental health?',\n",
       "       'Overall, how much importance did your previous employer place on physical health?',\n",
       "       'Overall, how much importance does your employer place on mental health?',\n",
       "       'Overall, how much importance does your employer place on physical health?',\n",
       "       'Overall, how well do you think the tech industry supports employees with mental health issues?',\n",
       "       'Was your anonymity protected if you chose to take advantage of mental health or substance abuse treatment resources with previous employers?',\n",
       "       'Was your employer primarily a tech company/organization?',\n",
       "       'Were you aware of the options for mental health care provided by your previous employers?',\n",
       "       'What US state or territory do you live in?',\n",
       "       'What US state or territory do you work in?',\n",
       "       'What country do you live in?', 'What country do you work in?',\n",
       "       'What disorder(s) have you been diagnosed with?', 'What is your age?',\n",
       "       'What is your gender?', 'What is your race?',\n",
       "       'Would you be willing to bring up a physical health issue with a potential employer in an interview?',\n",
       "       'Would you bring up your mental health with a potential employer in an interview?',\n",
       "       'Would you feel comfortable discussing a mental health issue with your coworkers?',\n",
       "       'Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?',\n",
       "       'Would you feel more comfortable talking to your coworkers about your physical health or your mental health?',\n",
       "       'Would you have been willing to discuss your mental health with your coworkers at previous employers?',\n",
       "       'Would you have been willing to discuss your mental health with your direct supervisor(s)?',\n",
       "       'Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?',\n",
       "       'Have you been diagnosed with COVID-19?'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4aedf2d2",
   "metadata": {},
   "source": [
    "## Dealing with missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "ff6f1f20",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp                                                                                                                      0\n",
       "Unnamed: 0                                                                                                                     0\n",
       "Are you openly identified at work as a person with a mental health issue?                                                      0\n",
       "Are you self-employed?                                                                                                         0\n",
       "Did you ever discuss your mental health with a previous coworker(s)?                                                         298\n",
       "                                                                                                                            ... \n",
       "Would you feel more comfortable talking to your coworkers about your physical health or your mental health?                  256\n",
       "Would you have been willing to discuss your mental health with your coworkers at previous employers?                         290\n",
       "Would you have been willing to discuss your mental health with your direct supervisor(s)?                                    290\n",
       "Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?     290\n",
       "Have you been diagnosed with COVID-19?                                                                                      1832\n",
       "Length: 72, dtype: int64"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07d93573",
   "metadata": {},
   "source": [
    "Viewing the number the null values in each of the column matrix attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "b6f8c8b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1832, 72)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c860515",
   "metadata": {},
   "source": [
    "We observe that a lot of columns  have null values and we  drop columns with over 50% NaN values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "5e4e998b",
   "metadata": {},
   "outputs": [],
   "source": [
    "delete_list = df.isna().sum()[df.isna().sum() > 587]\n",
    "for num in range(len(delete_list)):\n",
    "    df.drop(columns = delete_list.index[num],inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65e81c81",
   "metadata": {},
   "source": [
    "We observe that about 16 columns had more than 50% null values hence they were dropped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "f53862b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1832, 55)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9df4b9a5",
   "metadata": {},
   "source": [
    "### 6. Removing the unwanted index columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "ab639811",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(['Unnamed: 0'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "01c410ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>Are you openly identified at work as a person with a mental health issue?</th>\n",
       "      <th>Are you self-employed?</th>\n",
       "      <th>Did you ever discuss your mental health with a previous coworker(s)?</th>\n",
       "      <th>Did you ever discuss your mental health with your previous employer?</th>\n",
       "      <th>Did you ever have a previous coworker discuss their or another coworker's mental health with you?</th>\n",
       "      <th>Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?</th>\n",
       "      <th>Did your previous employers provide resources to learn more about mental health disorders and how to seek help?</th>\n",
       "      <th>Do you currently have a mental health disorder?</th>\n",
       "      <th>Do you have a family history of mental illness?</th>\n",
       "      <th>...</th>\n",
       "      <th>What is your gender?</th>\n",
       "      <th>What is your race?</th>\n",
       "      <th>Would you be willing to bring up a physical health issue with a potential employer in an interview?</th>\n",
       "      <th>Would you bring up your mental health with a potential employer in an interview?</th>\n",
       "      <th>Would you feel comfortable discussing a mental health issue with your coworkers?</th>\n",
       "      <th>Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?</th>\n",
       "      <th>Would you feel more comfortable talking to your coworkers about your physical health or your mental health?</th>\n",
       "      <th>Would you have been willing to discuss your mental health with your coworkers at previous employers?</th>\n",
       "      <th>Would you have been willing to discuss your mental health with your direct supervisor(s)?</th>\n",
       "      <th>Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Some did</td>\n",
       "      <td>Some did</td>\n",
       "      <td>Possibly</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>female</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>No, at none of my previous employers</td>\n",
       "      <td>Yes, all of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None did</td>\n",
       "      <td>None did</td>\n",
       "      <td>Possibly</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>No, none of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None did</td>\n",
       "      <td>None did</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>No, none of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>I don't know</td>\n",
       "      <td>...</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>None did</td>\n",
       "      <td>None did</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>female</td>\n",
       "      <td>Mixed</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No, at none of my previous employers</td>\n",
       "      <td>No, none of my previous supervisors</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 54 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Timestamp  \\\n",
       "0      2017   \n",
       "1      2017   \n",
       "2      2017   \n",
       "3      2017   \n",
       "4      2017   \n",
       "\n",
       "   Are you openly identified at work as a person with a mental health issue?  \\\n",
       "0                                                0.0                           \n",
       "1                                                0.0                           \n",
       "2                                                1.0                           \n",
       "3                                                0.0                           \n",
       "4                                                0.0                           \n",
       "\n",
       "   Are you self-employed?  \\\n",
       "0                       0   \n",
       "1                       0   \n",
       "2                       0   \n",
       "3                       0   \n",
       "4                       1   \n",
       "\n",
       "  Did you ever discuss your mental health with a previous coworker(s)?  \\\n",
       "0                                                0.0                     \n",
       "1                                                1.0                     \n",
       "2                                                1.0                     \n",
       "3                                                NaN                     \n",
       "4                                                1.0                     \n",
       "\n",
       "  Did you ever discuss your mental health with your previous employer?  \\\n",
       "0                                                0.0                     \n",
       "1                                                0.0                     \n",
       "2                                                0.0                     \n",
       "3                                                NaN                     \n",
       "4                                                0.0                     \n",
       "\n",
       "  Did you ever have a previous coworker discuss their or another coworker's mental health with you?  \\\n",
       "0                                                0.0                                                  \n",
       "1                                                0.0                                                  \n",
       "2                                                0.0                                                  \n",
       "3                                                NaN                                                  \n",
       "4                                                1.0                                                  \n",
       "\n",
       "  Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?  \\\n",
       "0                                           Some did                                                                                  \n",
       "1                                           None did                                                                                  \n",
       "2                                           None did                                                                                  \n",
       "3                                                NaN                                                                                  \n",
       "4                                           None did                                                                                  \n",
       "\n",
       "  Did your previous employers provide resources to learn more about mental health disorders and how to seek help?  \\\n",
       "0                                           Some did                                                                \n",
       "1                                           None did                                                                \n",
       "2                                           None did                                                                \n",
       "3                                                NaN                                                                \n",
       "4                                           None did                                                                \n",
       "\n",
       "  Do you currently have a mental health disorder?  \\\n",
       "0                                        Possibly   \n",
       "1                                        Possibly   \n",
       "2                                             Yes   \n",
       "3                                             Yes   \n",
       "4                                              No   \n",
       "\n",
       "  Do you have a family history of mental illness?  ...  What is your gender?  \\\n",
       "0                                              No  ...                female   \n",
       "1                                              No  ...                  male   \n",
       "2                                             Yes  ...                  male   \n",
       "3                                    I don't know  ...                  male   \n",
       "4                                             Yes  ...                female   \n",
       "\n",
       "  What is your race?  \\\n",
       "0          Caucasian   \n",
       "1          Caucasian   \n",
       "2          Caucasian   \n",
       "3          Caucasian   \n",
       "4              Mixed   \n",
       "\n",
       "  Would you be willing to bring up a physical health issue with a potential employer in an interview?  \\\n",
       "0                                                Yes                                                    \n",
       "1                                                Yes                                                    \n",
       "2                                              Maybe                                                    \n",
       "3                                                 No                                                    \n",
       "4                                              Maybe                                                    \n",
       "\n",
       "  Would you bring up your mental health with a potential employer in an interview?  \\\n",
       "0                                                 No                                 \n",
       "1                                                 No                                 \n",
       "2                                                 No                                 \n",
       "3                                                 No                                 \n",
       "4                                                 No                                 \n",
       "\n",
       "  Would you feel comfortable discussing a mental health issue with your coworkers?  \\\n",
       "0                                                Yes                                 \n",
       "1                                                Yes                                 \n",
       "2                                              Maybe                                 \n",
       "3                                                Yes                                 \n",
       "4                                                NaN                                 \n",
       "\n",
       "  Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?  \\\n",
       "0                                                Yes                                            \n",
       "1                                              Maybe                                            \n",
       "2                                                Yes                                            \n",
       "3                                                Yes                                            \n",
       "4                                                NaN                                            \n",
       "\n",
       "  Would you feel more comfortable talking to your coworkers about your physical health or your mental health?  \\\n",
       "0                     Same level of comfort for each                                                            \n",
       "1                     Same level of comfort for each                                                            \n",
       "2                     Same level of comfort for each                                                            \n",
       "3                     Same level of comfort for each                                                            \n",
       "4                                                NaN                                                            \n",
       "\n",
       "  Would you have been willing to discuss your mental health with your coworkers at previous employers?  \\\n",
       "0               No, at none of my previous employers                                                     \n",
       "1                   At some of my previous employers                                                     \n",
       "2                   At some of my previous employers                                                     \n",
       "3                                                NaN                                                     \n",
       "4               No, at none of my previous employers                                                     \n",
       "\n",
       "   Would you have been willing to discuss your mental health with your direct supervisor(s)?  \\\n",
       "0                Yes, all of my previous supervisors                                           \n",
       "1                No, none of my previous supervisors                                           \n",
       "2                No, none of my previous supervisors                                           \n",
       "3                                                NaN                                           \n",
       "4                No, none of my previous supervisors                                           \n",
       "\n",
       "  Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?  \n",
       "0                                    Physical health                                                                        \n",
       "1                                    Physical health                                                                        \n",
       "2                                    Physical health                                                                        \n",
       "3                                                NaN                                                                        \n",
       "4                     Same level of comfort for each                                                                        \n",
       "\n",
       "[5 rows x 54 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "ebf0a47a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "54"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e9b613e",
   "metadata": {},
   "source": [
    "### 7. Column names"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f458b805",
   "metadata": {},
   "source": [
    "Since the column names are very long, in order to analyze them, we create a CSV file with the column names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "73f7896a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(54, 2)"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col_df=pd.DataFrame(columns=['ColumnNumber','ColumnName'])\n",
    "col_df['ColumnNumber']=[i for i in range(0,df.shape[1])]\n",
    "col_df['ColumnName']=df.columns\n",
    "col_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "89e7a7c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "col_df.to_csv(r'C:\\Users\\Lenovo\\Desktop\\ML App\\columns.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17ca7676",
   "metadata": {},
   "source": [
    "### 8. Dropping Rows which have more than 25% null values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "e0554562",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1832, 54)"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "b9690b41",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "512"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df.isnull().sum(axis=1)[df.isnull().sum(axis=1) > (df.shape[1]/4)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "aecb3610",
   "metadata": {},
   "outputs": [],
   "source": [
    "delete_rows = df.isnull().sum(axis=1)[df.isnull().sum(axis=1) > (df.shape[1]/4)]\n",
    "for num in range(len(delete_rows)):\n",
    "    df.drop(delete_rows.index[num],axis=0,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "1942a496",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1320, 54)"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e979bbeb",
   "metadata": {},
   "source": [
    "### 9.Dealing with the remaining NULL values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db8cb121",
   "metadata": {},
   "source": [
    "#### Checking which columns have null"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "ec1059a7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 0\n",
      "1 0\n",
      "2 0\n",
      "3 6\n",
      "4 0\n",
      "5 9\n",
      "6 0\n",
      "7 0\n",
      "8 0\n",
      "9 0\n",
      "10 0\n",
      "11 134\n",
      "12 0\n",
      "13 0\n",
      "14 0\n",
      "15 4\n",
      "16 0\n",
      "17 5\n",
      "18 0\n",
      "19 13\n",
      "20 0\n",
      "21 0\n",
      "22 251\n",
      "23 0\n",
      "24 0\n",
      "25 0\n",
      "26 0\n",
      "27 0\n",
      "28 0\n",
      "29 0\n",
      "30 0\n",
      "31 0\n",
      "32 0\n",
      "33 0\n",
      "34 0\n",
      "35 0\n",
      "36 0\n",
      "37 0\n",
      "38 0\n",
      "39 0\n",
      "40 0\n",
      "41 0\n",
      "42 0\n",
      "43 0\n",
      "44 0\n",
      "45 0\n",
      "46 0\n",
      "47 0\n",
      "48 0\n",
      "49 0\n",
      "50 0\n",
      "51 0\n",
      "52 0\n",
      "53 0\n"
     ]
    }
   ],
   "source": [
    "cnt=0\n",
    "for i in df.columns:\n",
    "    print(cnt,df[i].isnull().sum())\n",
    "    cnt+=1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "902094a8",
   "metadata": {},
   "source": [
    "#### Finding the mode of each columns with nulls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "51ccdb47",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3 0.0\n",
      "5 0.0\n",
      "11 No\n",
      "15 0.0\n",
      "17 0.0\n",
      "19 Yes\n",
      "22 No\n"
     ]
    }
   ],
   "source": [
    "for i in df.columns:\n",
    "    if df[i].isnull().sum()>0:\n",
    "        print(df.columns.get_loc(i),df[i].mode()[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ab03d87",
   "metadata": {},
   "source": [
    "#### Column-wise strategy for replacing NULLS:\n",
    "\n",
    "3\tDid you ever discuss your mental health with a previous coworker(s)?\n",
    "- Replace with mode\n",
    "\n",
    "5\tDid you ever have a previous coworker discuss their or another coworker's mental health with you?\n",
    "- Replace with mode\n",
    "\n",
    "11\tDo you know the options for mental health care available under your employer-provided health coverage?\n",
    "- Replace with mode\n",
    "\n",
    "15\tHave you ever discussed your mental health with coworkers?\n",
    "- Replace with mode\n",
    "\n",
    "17\tHave you ever had a coworker discuss their or another coworker's mental health with you?\n",
    "- Replace with mode\n",
    "\n",
    "19\tHave you had a mental health disorder in the past?\n",
    "- Replace with \"Don't Know\"\n",
    "\n",
    "22\tHave your observations of how another individual who discussed a mental health issue made you less likely to reveal a mental health issue yourself in your current workplace?\n",
    "- Replace with \"No Answer\" (Since there are 251 nulls)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "13bb7ff0",
   "metadata": {},
   "outputs": [],
   "source": [
    "mode_int_cols=[3,5,15,17]\n",
    "\n",
    "for i in mode_int_cols:\n",
    "    df[df.columns[i]].fillna(int(float((df[df.columns[i]].mode()[0]))), inplace=True)\n",
    "df[df.columns[11]].fillna(df[df.columns[6]].mode()[0], inplace=True)\n",
    "df[df.columns[19]].fillna(\"Don't Know\", inplace=True)\n",
    "df[df.columns[22]].fillna(\"No_Answer\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "5ee71e1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().values.any()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1278016a",
   "metadata": {},
   "source": [
    "### There are no more null values in the dataset, it is ready to go to the next stage of preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "c82f5ccf",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(r'C:\\Users\\Lenovo\\Desktop\\ML App\\final.csv',index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d9d38fe",
   "metadata": {},
   "source": [
    "# PART 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "067b46bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1320, 54)"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(r'C:\\Users\\Lenovo\\Desktop\\ML App\\final_pre.csv')\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b2863b3",
   "metadata": {},
   "source": [
    "## Analysing the features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "04a2a62d",
   "metadata": {},
   "outputs": [
    {
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       "      <th>...</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
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       "      <td>Caucasian</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Same level of comfort for each</td>\n",
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       "      <td>No, none of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>None did</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>No, none of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>Some did</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Physical health</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>Some of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>None did</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>female</td>\n",
       "      <td>Asian</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>Some of my previous supervisors</td>\n",
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       "</table>\n",
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       "</div>"
      ],
      "text/plain": [
       "   Timestamp  \\\n",
       "0       2017   \n",
       "1       2017   \n",
       "2       2017   \n",
       "3       2017   \n",
       "4       2017   \n",
       "\n",
       "   Are you openly identified at work as a person with a mental health issue?  \\\n",
       "0                                                  0                           \n",
       "1                                                  0                           \n",
       "2                                                  1                           \n",
       "3                                                  0                           \n",
       "4                                                  1                           \n",
       "\n",
       "   Are you self-employed?  \\\n",
       "0                       0   \n",
       "1                       0   \n",
       "2                       0   \n",
       "3                       0   \n",
       "4                       0   \n",
       "\n",
       "  Did you ever discuss your mental health with a previous coworker(s)?  \\\n",
       "0                                                  0                     \n",
       "1                                                  1                     \n",
       "2                                                  1                     \n",
       "3                                                  0                     \n",
       "4                                                  1                     \n",
       "\n",
       "  Did you ever discuss your mental health with your previous employer?  \\\n",
       "0                                                  0                     \n",
       "1                                                  0                     \n",
       "2                                                  0                     \n",
       "3                                                  0                     \n",
       "4                                                  1                     \n",
       "\n",
       "  Did you ever have a previous coworker discuss their or another coworker's mental health with you?  \\\n",
       "0                                                  0                                                  \n",
       "1                                                  0                                                  \n",
       "2                                                  0                                                  \n",
       "3                                                  0                                                  \n",
       "4                                                  1                                                  \n",
       "\n",
       "  Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?  \\\n",
       "0                                           Some did                                                                                  \n",
       "1                                           None did                                                                                  \n",
       "2                                           None did                                                                                  \n",
       "3                                           None did                                                                                  \n",
       "4                                           None did                                                                                  \n",
       "\n",
       "  Did your previous employers provide resources to learn more about mental health disorders and how to seek help?  \\\n",
       "0                                           Some did                                                                \n",
       "1                                           None did                                                                \n",
       "2                                           None did                                                                \n",
       "3                                           Some did                                                                \n",
       "4                                           None did                                                                \n",
       "\n",
       "  Do you currently have a mental health disorder?  \\\n",
       "0                                        Possibly   \n",
       "1                                        Possibly   \n",
       "2                                             Yes   \n",
       "3                                              No   \n",
       "4                                             Yes   \n",
       "\n",
       "  Do you have a family history of mental illness?  ...  What is your gender?  \\\n",
       "0                                              No  ...                female   \n",
       "1                                              No  ...                  male   \n",
       "2                                             Yes  ...                  male   \n",
       "3                                             Yes  ...                  male   \n",
       "4                                             Yes  ...                female   \n",
       "\n",
       "  What is your race?  \\\n",
       "0          Caucasian   \n",
       "1          Caucasian   \n",
       "2          Caucasian   \n",
       "3          Caucasian   \n",
       "4              Asian   \n",
       "\n",
       "  Would you be willing to bring up a physical health issue with a potential employer in an interview?  \\\n",
       "0                                                Yes                                                    \n",
       "1                                                Yes                                                    \n",
       "2                                              Maybe                                                    \n",
       "3                                              Maybe                                                    \n",
       "4                                                 No                                                    \n",
       "\n",
       "  Would you bring up your mental health with a potential employer in an interview?  \\\n",
       "0                                                 No                                 \n",
       "1                                                 No                                 \n",
       "2                                                 No                                 \n",
       "3                                                 No                                 \n",
       "4                                                 No                                 \n",
       "\n",
       "  Would you feel comfortable discussing a mental health issue with your coworkers?  \\\n",
       "0                                                Yes                                 \n",
       "1                                                Yes                                 \n",
       "2                                              Maybe                                 \n",
       "3                                              Maybe                                 \n",
       "4                                                 No                                 \n",
       "\n",
       "  Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?  \\\n",
       "0                                                Yes                                            \n",
       "1                                              Maybe                                            \n",
       "2                                                Yes                                            \n",
       "3                                              Maybe                                            \n",
       "4                                                Yes                                            \n",
       "\n",
       "  Would you feel more comfortable talking to your coworkers about your physical health or your mental health?  \\\n",
       "0                     Same level of comfort for each                                                            \n",
       "1                     Same level of comfort for each                                                            \n",
       "2                     Same level of comfort for each                                                            \n",
       "3                                    Physical health                                                            \n",
       "4                     Same level of comfort for each                                                            \n",
       "\n",
       "  Would you have been willing to discuss your mental health with your coworkers at previous employers?  \\\n",
       "0               No, at none of my previous employers                                                     \n",
       "1                   At some of my previous employers                                                     \n",
       "2                   At some of my previous employers                                                     \n",
       "3                   At some of my previous employers                                                     \n",
       "4                   At some of my previous employers                                                     \n",
       "\n",
       "   Would you have been willing to discuss your mental health with your direct supervisor(s)?  \\\n",
       "0                Yes, all of my previous supervisors                                           \n",
       "1                No, none of my previous supervisors                                           \n",
       "2                No, none of my previous supervisors                                           \n",
       "3                    Some of my previous supervisors                                           \n",
       "4                    Some of my previous supervisors                                           \n",
       "\n",
       "  Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?  \n",
       "0                                    Physical health                                                                        \n",
       "1                                    Physical health                                                                        \n",
       "2                                    Physical health                                                                        \n",
       "3                                    Physical health                                                                        \n",
       "4                     Same level of comfort for each                                                                        \n",
       "\n",
       "[5 rows x 54 columns]"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "57bc9ac5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().values.any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "f4f0c133",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 int64\n",
      "1 int64\n",
      "2 int64\n",
      "3 object\n",
      "4 object\n",
      "5 object\n",
      "6 object\n",
      "7 object\n",
      "8 object\n",
      "9 object\n",
      "10 int64\n",
      "11 object\n",
      "12 object\n",
      "13 object\n",
      "14 object\n",
      "15 object\n",
      "16 object\n",
      "17 object\n",
      "18 int64\n",
      "19 object\n",
      "20 object\n",
      "21 object\n",
      "22 object\n",
      "23 object\n",
      "24 object\n",
      "25 int64\n",
      "26 object\n",
      "27 int64\n",
      "28 object\n",
      "29 object\n",
      "30 object\n",
      "31 object\n",
      "32 object\n",
      "33 int64\n",
      "34 int64\n",
      "35 int64\n",
      "36 int64\n",
      "37 int64\n",
      "38 object\n",
      "39 object\n",
      "40 object\n",
      "41 object\n",
      "42 object\n",
      "43 int64\n",
      "44 object\n",
      "45 object\n",
      "46 object\n",
      "47 object\n",
      "48 object\n",
      "49 object\n",
      "50 object\n",
      "51 object\n",
      "52 object\n",
      "53 object\n"
     ]
    }
   ],
   "source": [
    "cnt=0\n",
    "for i in df.columns:\n",
    "    print(cnt, df[i].dtype)\n",
    "    cnt+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "73dfd04a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th>Did your previous employers provide resources to learn more about mental health disorders and how to seek help?</th>\n",
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       "      <th>0</th>\n",
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       "      <td>Yes, all of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
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       "      <th>1</th>\n",
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       "      <td>0</td>\n",
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       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>No, none of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>None did</td>\n",
       "      <td>None did</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>I don't know</td>\n",
       "      <td>...</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
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       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>No, none of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>None did</td>\n",
       "      <td>Some did</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>I don't know</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Physical health</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>Some of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>None did</td>\n",
       "      <td>None did</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>...</td>\n",
       "      <td>female</td>\n",
       "      <td>Asian</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>Some of my previous supervisors</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Did you ever discuss your mental health with a previous coworker(s)?  \\\n",
       "0                                                  0                     \n",
       "1                                                  1                     \n",
       "2                                                  1                     \n",
       "3                                                  0                     \n",
       "4                                                  1                     \n",
       "\n",
       "  Did you ever discuss your mental health with your previous employer?  \\\n",
       "0                                                  0                     \n",
       "1                                                  0                     \n",
       "2                                                  0                     \n",
       "3                                                  0                     \n",
       "4                                                  1                     \n",
       "\n",
       "  Did you ever have a previous coworker discuss their or another coworker's mental health with you?  \\\n",
       "0                                                  0                                                  \n",
       "1                                                  0                                                  \n",
       "2                                                  0                                                  \n",
       "3                                                  0                                                  \n",
       "4                                                  1                                                  \n",
       "\n",
       "  Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?  \\\n",
       "0                                           Some did                                                                                  \n",
       "1                                           None did                                                                                  \n",
       "2                                           None did                                                                                  \n",
       "3                                           None did                                                                                  \n",
       "4                                           None did                                                                                  \n",
       "\n",
       "  Did your previous employers provide resources to learn more about mental health disorders and how to seek help?  \\\n",
       "0                                           Some did                                                                \n",
       "1                                           None did                                                                \n",
       "2                                           None did                                                                \n",
       "3                                           Some did                                                                \n",
       "4                                           None did                                                                \n",
       "\n",
       "  Do you currently have a mental health disorder?  \\\n",
       "0                                        Possibly   \n",
       "1                                        Possibly   \n",
       "2                                             Yes   \n",
       "3                                              No   \n",
       "4                                             Yes   \n",
       "\n",
       "  Do you have a family history of mental illness?  \\\n",
       "0                                              No   \n",
       "1                                              No   \n",
       "2                                             Yes   \n",
       "3                                             Yes   \n",
       "4                                             Yes   \n",
       "\n",
       "  Do you know the options for mental health care available under your employer-provided health coverage?  \\\n",
       "0                                                Yes                                                       \n",
       "1                                                Yes                                                       \n",
       "2                                                 No                                                       \n",
       "3                                                 No                                                       \n",
       "4                                                Yes                                                       \n",
       "\n",
       "  Does your employer offer resources to learn more about mental health disorders and options for seeking help?  \\\n",
       "0                                       I don't know                                                             \n",
       "1                                                 No                                                             \n",
       "2                                                 No                                                             \n",
       "3                                       I don't know                                                             \n",
       "4                                                 No                                                             \n",
       "\n",
       "  Does your employer provide mental health benefits as part of healthcare coverage?  \\\n",
       "0                                                 No                                  \n",
       "1                                                Yes                                  \n",
       "2                                       I don't know                                  \n",
       "3                                                Yes                                  \n",
       "4                                                Yes                                  \n",
       "\n",
       "   ... What is your gender? What is your race?  \\\n",
       "0  ...               female          Caucasian   \n",
       "1  ...                 male          Caucasian   \n",
       "2  ...                 male          Caucasian   \n",
       "3  ...                 male          Caucasian   \n",
       "4  ...               female              Asian   \n",
       "\n",
       "  Would you be willing to bring up a physical health issue with a potential employer in an interview?  \\\n",
       "0                                                Yes                                                    \n",
       "1                                                Yes                                                    \n",
       "2                                              Maybe                                                    \n",
       "3                                              Maybe                                                    \n",
       "4                                                 No                                                    \n",
       "\n",
       "  Would you bring up your mental health with a potential employer in an interview?  \\\n",
       "0                                                 No                                 \n",
       "1                                                 No                                 \n",
       "2                                                 No                                 \n",
       "3                                                 No                                 \n",
       "4                                                 No                                 \n",
       "\n",
       "  Would you feel comfortable discussing a mental health issue with your coworkers?  \\\n",
       "0                                                Yes                                 \n",
       "1                                                Yes                                 \n",
       "2                                              Maybe                                 \n",
       "3                                              Maybe                                 \n",
       "4                                                 No                                 \n",
       "\n",
       "  Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?  \\\n",
       "0                                                Yes                                            \n",
       "1                                              Maybe                                            \n",
       "2                                                Yes                                            \n",
       "3                                              Maybe                                            \n",
       "4                                                Yes                                            \n",
       "\n",
       "  Would you feel more comfortable talking to your coworkers about your physical health or your mental health?  \\\n",
       "0                     Same level of comfort for each                                                            \n",
       "1                     Same level of comfort for each                                                            \n",
       "2                     Same level of comfort for each                                                            \n",
       "3                                    Physical health                                                            \n",
       "4                     Same level of comfort for each                                                            \n",
       "\n",
       "  Would you have been willing to discuss your mental health with your coworkers at previous employers?  \\\n",
       "0               No, at none of my previous employers                                                     \n",
       "1                   At some of my previous employers                                                     \n",
       "2                   At some of my previous employers                                                     \n",
       "3                   At some of my previous employers                                                     \n",
       "4                   At some of my previous employers                                                     \n",
       "\n",
       "  Would you have been willing to discuss your mental health with your direct supervisor(s)?  \\\n",
       "0                Yes, all of my previous supervisors                                          \n",
       "1                No, none of my previous supervisors                                          \n",
       "2                No, none of my previous supervisors                                          \n",
       "3                    Some of my previous supervisors                                          \n",
       "4                    Some of my previous supervisors                                          \n",
       "\n",
       "  Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?  \n",
       "0                                    Physical health                                                                        \n",
       "1                                    Physical health                                                                        \n",
       "2                                    Physical health                                                                        \n",
       "3                                    Physical health                                                                        \n",
       "4                     Same level of comfort for each                                                                        \n",
       "\n",
       "[5 rows x 41 columns]"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obj_df = df.select_dtypes(include=['object']).copy()\n",
    "obj_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "0e6284b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1320, 41)"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obj_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "85d8d17f",
   "metadata": {},
   "outputs": [],
   "source": [
    "obj_df.rename(columns={obj_df.columns[i]:df.columns.get_loc(obj_df.columns[i]) for i in range(obj_df.shape[1])}, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e87a40f2",
   "metadata": {},
   "source": [
    "## 1. Columns which have numeric values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca5e1459",
   "metadata": {},
   "source": [
    "These columns can be directly converted to numeric columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "fda76d98",
   "metadata": {},
   "outputs": [],
   "source": [
    "numer_cols=[3,4,5,15,16,17,31,32,39]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "b447d50d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Did you ever discuss your mental health with a previous coworker(s)?\n",
       "0    44\n",
       "1    30\n",
       "dtype: int64"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df[df.columns[0]] == 2021].groupby([df.columns[3]]).size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "0029ddd7",
   "metadata": {},
   "outputs": [],
   "source": [
    "cleanup_nums={df.columns[i]:{\"True\":1, \"False\":0} for i in numer_cols}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "49fc52d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.replace(cleanup_nums)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "1231c4bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "numer_cols = [3, 4, 5, 15, 16, 17, 31, 32, 39]\n",
    "\n",
    "for i in numer_cols:\n",
    "    # Use pd.to_numeric with errors='coerce' to convert to numeric, converting non-numeric values to NaN\n",
    "    df[df.columns[i]] = pd.to_numeric(df[df.columns[i]], errors='coerce')\n",
    "    \n",
    "    # Fill NaN values with a specific value, e.g., -1 (you can choose an appropriate value)\n",
    "    df[df.columns[i]].fillna(-1, inplace=True)\n",
    "    \n",
    "    # Convert the column to integer data type\n",
    "    df[df.columns[i]] = df[df.columns[i]].astype('int')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1759d37a",
   "metadata": {},
   "source": [
    "Now the conversion of columns which were already numerical is done successfully"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "560176eb",
   "metadata": {},
   "source": [
    "## 2. Columns which have categorical values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e29574c",
   "metadata": {},
   "source": [
    "Here, we are going to replace the columns which have the following values\n",
    "- No (replaced with 0)\n",
    "- Yes (replaced with 1)\n",
    "- I don't know (replaced with 2)\n",
    "- Maybe (replaced with 2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "5bb846ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?</th>\n",
       "      <th>Did your previous employers provide resources to learn more about mental health disorders and how to seek help?</th>\n",
       "      <th>Do you currently have a mental health disorder?</th>\n",
       "      <th>Do you have a family history of mental illness?</th>\n",
       "      <th>Do you know the options for mental health care available under your employer-provided health coverage?</th>\n",
       "      <th>Does your employer offer resources to learn more about mental health disorders and options for seeking help?</th>\n",
       "      <th>Does your employer provide mental health benefits as part of healthcare coverage?</th>\n",
       "      <th>Has your employer ever formally discussed mental health (for example, as part of a wellness campaign or other official communication)?</th>\n",
       "      <th>Have you had a mental health disorder in the past?</th>\n",
       "      <th>Have you observed or experienced a supportive or well handled response to a mental health issue in your current or previous workplace?</th>\n",
       "      <th>...</th>\n",
       "      <th>What is your gender?</th>\n",
       "      <th>What is your race?</th>\n",
       "      <th>Would you be willing to bring up a physical health issue with a potential employer in an interview?</th>\n",
       "      <th>Would you bring up your mental health with a potential employer in an interview?</th>\n",
       "      <th>Would you feel comfortable discussing a mental health issue with your coworkers?</th>\n",
       "      <th>Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?</th>\n",
       "      <th>Would you feel more comfortable talking to your coworkers about your physical health or your mental health?</th>\n",
       "      <th>Would you have been willing to discuss your mental health with your coworkers at previous employers?</th>\n",
       "      <th>Would you have been willing to discuss your mental health with your direct supervisor(s)?</th>\n",
       "      <th>Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Some did</td>\n",
       "      <td>Some did</td>\n",
       "      <td>Possibly</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>I don't know</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Possibly</td>\n",
       "      <td>Yes, I experienced</td>\n",
       "      <td>...</td>\n",
       "      <td>female</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>No, at none of my previous employers</td>\n",
       "      <td>Yes, all of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>None did</td>\n",
       "      <td>None did</td>\n",
       "      <td>Possibly</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Possibly</td>\n",
       "      <td>Maybe/Not sure</td>\n",
       "      <td>...</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>No, none of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>None did</td>\n",
       "      <td>None did</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>I don't know</td>\n",
       "      <td>I don't know</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes, I experienced</td>\n",
       "      <td>...</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>No, none of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>None did</td>\n",
       "      <td>Some did</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>I don't know</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes, I observed</td>\n",
       "      <td>...</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>No</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Maybe</td>\n",
       "      <td>Physical health</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>Some of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>None did</td>\n",
       "      <td>None did</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes, I observed</td>\n",
       "      <td>...</td>\n",
       "      <td>female</td>\n",
       "      <td>Asian</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>Some of my previous supervisors</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?  \\\n",
       "0                                           Some did                                                                                  \n",
       "1                                           None did                                                                                  \n",
       "2                                           None did                                                                                  \n",
       "3                                           None did                                                                                  \n",
       "4                                           None did                                                                                  \n",
       "\n",
       "  Did your previous employers provide resources to learn more about mental health disorders and how to seek help?  \\\n",
       "0                                           Some did                                                                \n",
       "1                                           None did                                                                \n",
       "2                                           None did                                                                \n",
       "3                                           Some did                                                                \n",
       "4                                           None did                                                                \n",
       "\n",
       "  Do you currently have a mental health disorder?  \\\n",
       "0                                        Possibly   \n",
       "1                                        Possibly   \n",
       "2                                             Yes   \n",
       "3                                              No   \n",
       "4                                             Yes   \n",
       "\n",
       "  Do you have a family history of mental illness?  \\\n",
       "0                                              No   \n",
       "1                                              No   \n",
       "2                                             Yes   \n",
       "3                                             Yes   \n",
       "4                                             Yes   \n",
       "\n",
       "  Do you know the options for mental health care available under your employer-provided health coverage?  \\\n",
       "0                                                Yes                                                       \n",
       "1                                                Yes                                                       \n",
       "2                                                 No                                                       \n",
       "3                                                 No                                                       \n",
       "4                                                Yes                                                       \n",
       "\n",
       "  Does your employer offer resources to learn more about mental health disorders and options for seeking help?  \\\n",
       "0                                       I don't know                                                             \n",
       "1                                                 No                                                             \n",
       "2                                                 No                                                             \n",
       "3                                       I don't know                                                             \n",
       "4                                                 No                                                             \n",
       "\n",
       "  Does your employer provide mental health benefits as part of healthcare coverage?  \\\n",
       "0                                                 No                                  \n",
       "1                                                Yes                                  \n",
       "2                                       I don't know                                  \n",
       "3                                                Yes                                  \n",
       "4                                                Yes                                  \n",
       "\n",
       "  Has your employer ever formally discussed mental health (for example, as part of a wellness campaign or other official communication)?  \\\n",
       "0                                                 No                                                                                       \n",
       "1                                                 No                                                                                       \n",
       "2                                       I don't know                                                                                       \n",
       "3                                                 No                                                                                       \n",
       "4                                                 No                                                                                       \n",
       "\n",
       "  Have you had a mental health disorder in the past?  \\\n",
       "0                                           Possibly   \n",
       "1                                           Possibly   \n",
       "2                                                Yes   \n",
       "3                                                 No   \n",
       "4                                                 No   \n",
       "\n",
       "  Have you observed or experienced a supportive or well handled response to a mental health issue in your current or previous workplace?  \\\n",
       "0                                 Yes, I experienced                                                                                       \n",
       "1                                     Maybe/Not sure                                                                                       \n",
       "2                                 Yes, I experienced                                                                                       \n",
       "3                                    Yes, I observed                                                                                       \n",
       "4                                    Yes, I observed                                                                                       \n",
       "\n",
       "   ... What is your gender? What is your race?  \\\n",
       "0  ...               female          Caucasian   \n",
       "1  ...                 male          Caucasian   \n",
       "2  ...                 male          Caucasian   \n",
       "3  ...                 male          Caucasian   \n",
       "4  ...               female              Asian   \n",
       "\n",
       "  Would you be willing to bring up a physical health issue with a potential employer in an interview?  \\\n",
       "0                                                Yes                                                    \n",
       "1                                                Yes                                                    \n",
       "2                                              Maybe                                                    \n",
       "3                                              Maybe                                                    \n",
       "4                                                 No                                                    \n",
       "\n",
       "  Would you bring up your mental health with a potential employer in an interview?  \\\n",
       "0                                                 No                                 \n",
       "1                                                 No                                 \n",
       "2                                                 No                                 \n",
       "3                                                 No                                 \n",
       "4                                                 No                                 \n",
       "\n",
       "  Would you feel comfortable discussing a mental health issue with your coworkers?  \\\n",
       "0                                                Yes                                 \n",
       "1                                                Yes                                 \n",
       "2                                              Maybe                                 \n",
       "3                                              Maybe                                 \n",
       "4                                                 No                                 \n",
       "\n",
       "  Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?  \\\n",
       "0                                                Yes                                            \n",
       "1                                              Maybe                                            \n",
       "2                                                Yes                                            \n",
       "3                                              Maybe                                            \n",
       "4                                                Yes                                            \n",
       "\n",
       "  Would you feel more comfortable talking to your coworkers about your physical health or your mental health?  \\\n",
       "0                     Same level of comfort for each                                                            \n",
       "1                     Same level of comfort for each                                                            \n",
       "2                     Same level of comfort for each                                                            \n",
       "3                                    Physical health                                                            \n",
       "4                     Same level of comfort for each                                                            \n",
       "\n",
       "  Would you have been willing to discuss your mental health with your coworkers at previous employers?  \\\n",
       "0               No, at none of my previous employers                                                     \n",
       "1                   At some of my previous employers                                                     \n",
       "2                   At some of my previous employers                                                     \n",
       "3                   At some of my previous employers                                                     \n",
       "4                   At some of my previous employers                                                     \n",
       "\n",
       "  Would you have been willing to discuss your mental health with your direct supervisor(s)?  \\\n",
       "0                Yes, all of my previous supervisors                                          \n",
       "1                No, none of my previous supervisors                                          \n",
       "2                No, none of my previous supervisors                                          \n",
       "3                    Some of my previous supervisors                                          \n",
       "4                    Some of my previous supervisors                                          \n",
       "\n",
       "  Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?  \n",
       "0                                    Physical health                                                                        \n",
       "1                                    Physical health                                                                        \n",
       "2                                    Physical health                                                                        \n",
       "3                                    Physical health                                                                        \n",
       "4                     Same level of comfort for each                                                                        \n",
       "\n",
       "[5 rows x 32 columns]"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obj_df = df.select_dtypes(include=['object']).copy()\n",
    "obj_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "6d722c3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1320, 32)"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obj_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "a8dca545",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8 ['Possibly' 'Yes' 'No' \"Don't Know\"]\n",
      "9 ['No' 'Yes' \"I don't know\"]\n",
      "11 ['Yes' 'No' 'None did']\n",
      "12 [\"I don't know\" 'No' 'Yes']\n",
      "13 ['No' 'Yes' \"I don't know\" 'Not eligible for coverage / NA']\n",
      "14 ['No' \"I don't know\" 'Yes']\n",
      "19 ['Possibly' 'Yes' 'No' \"Don't Know\"]\n",
      "22 ['No' 'Yes' 'Maybe' 'No_Answer']\n",
      "30 [\"I don't know\" 'Yes' 'No']\n",
      "46 ['Yes' 'Maybe' 'No']\n",
      "47 ['No' 'Yes' 'Maybe']\n",
      "48 ['Yes' 'Maybe' 'No']\n",
      "49 ['Yes' 'Maybe' 'No']\n",
      "\n",
      " [8, 9, 11, 12, 13, 14, 19, 22, 30, 46, 47, 48, 49]\n"
     ]
    }
   ],
   "source": [
    "yes_no_cols=[]\n",
    "for i in obj_df.columns:\n",
    "    if \"Yes\" in df[i].unique():\n",
    "        print(df.columns.get_loc(i),df[i].unique())\n",
    "        yes_no_cols.append(df.columns.get_loc(i))\n",
    "print('\\n',yes_no_cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "16854999",
   "metadata": {},
   "outputs": [],
   "source": [
    "replace_dict={\"No\": 0, 'Yes':1, \"I don't know\":2, \"Don't Know\":2,\"Maybe\":2, \"Not eligible for coverage / NA\":3,'Possibly':3,'No_Answer':3 }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "8bbfe0af",
   "metadata": {},
   "outputs": [],
   "source": [
    "cleanup_nums={df.columns[i]:replace_dict for i in yes_no_cols}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "ceaef389",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.replace(cleanup_nums)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "83721c4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>Are you openly identified at work as a person with a mental health issue?</th>\n",
       "      <th>Are you self-employed?</th>\n",
       "      <th>Did you ever discuss your mental health with a previous coworker(s)?</th>\n",
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       "      <th>Do you currently have a mental health disorder?</th>\n",
       "      <th>Do you have a family history of mental illness?</th>\n",
       "      <th>...</th>\n",
       "      <th>What is your gender?</th>\n",
       "      <th>What is your race?</th>\n",
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       "      <th>Would you bring up your mental health with a potential employer in an interview?</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>Some did</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>female</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>No, at none of my previous employers</td>\n",
       "      <td>Yes, all of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>None did</td>\n",
       "      <td>None did</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>No, none of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>None did</td>\n",
       "      <td>None did</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>No, none of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>None did</td>\n",
       "      <td>Some did</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Physical health</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>Some of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>None did</td>\n",
       "      <td>None did</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>female</td>\n",
       "      <td>Asian</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>Some of my previous supervisors</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 54 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Timestamp  \\\n",
       "0       2017   \n",
       "1       2017   \n",
       "2       2017   \n",
       "3       2017   \n",
       "4       2017   \n",
       "\n",
       "   Are you openly identified at work as a person with a mental health issue?  \\\n",
       "0                                                  0                           \n",
       "1                                                  0                           \n",
       "2                                                  1                           \n",
       "3                                                  0                           \n",
       "4                                                  1                           \n",
       "\n",
       "   Are you self-employed?  \\\n",
       "0                       0   \n",
       "1                       0   \n",
       "2                       0   \n",
       "3                       0   \n",
       "4                       0   \n",
       "\n",
       "   Did you ever discuss your mental health with a previous coworker(s)?  \\\n",
       "0                                                  0                      \n",
       "1                                                  1                      \n",
       "2                                                  1                      \n",
       "3                                                  0                      \n",
       "4                                                  1                      \n",
       "\n",
       "   Did you ever discuss your mental health with your previous employer?  \\\n",
       "0                                                  0                      \n",
       "1                                                  0                      \n",
       "2                                                  0                      \n",
       "3                                                  0                      \n",
       "4                                                  1                      \n",
       "\n",
       "   Did you ever have a previous coworker discuss their or another coworker's mental health with you?  \\\n",
       "0                                                  0                                                   \n",
       "1                                                  0                                                   \n",
       "2                                                  0                                                   \n",
       "3                                                  0                                                   \n",
       "4                                                  1                                                   \n",
       "\n",
       "  Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?  \\\n",
       "0                                           Some did                                                                                  \n",
       "1                                           None did                                                                                  \n",
       "2                                           None did                                                                                  \n",
       "3                                           None did                                                                                  \n",
       "4                                           None did                                                                                  \n",
       "\n",
       "  Did your previous employers provide resources to learn more about mental health disorders and how to seek help?  \\\n",
       "0                                           Some did                                                                \n",
       "1                                           None did                                                                \n",
       "2                                           None did                                                                \n",
       "3                                           Some did                                                                \n",
       "4                                           None did                                                                \n",
       "\n",
       "   Do you currently have a mental health disorder?  \\\n",
       "0                                                3   \n",
       "1                                                3   \n",
       "2                                                1   \n",
       "3                                                0   \n",
       "4                                                1   \n",
       "\n",
       "   Do you have a family history of mental illness?  ...  What is your gender?  \\\n",
       "0                                                0  ...                female   \n",
       "1                                                0  ...                  male   \n",
       "2                                                1  ...                  male   \n",
       "3                                                1  ...                  male   \n",
       "4                                                1  ...                female   \n",
       "\n",
       "  What is your race?  \\\n",
       "0          Caucasian   \n",
       "1          Caucasian   \n",
       "2          Caucasian   \n",
       "3          Caucasian   \n",
       "4              Asian   \n",
       "\n",
       "   Would you be willing to bring up a physical health issue with a potential employer in an interview?  \\\n",
       "0                                                  1                                                     \n",
       "1                                                  1                                                     \n",
       "2                                                  2                                                     \n",
       "3                                                  2                                                     \n",
       "4                                                  0                                                     \n",
       "\n",
       "   Would you bring up your mental health with a potential employer in an interview?  \\\n",
       "0                                                  0                                  \n",
       "1                                                  0                                  \n",
       "2                                                  0                                  \n",
       "3                                                  0                                  \n",
       "4                                                  0                                  \n",
       "\n",
       "   Would you feel comfortable discussing a mental health issue with your coworkers?  \\\n",
       "0                                                  1                                  \n",
       "1                                                  1                                  \n",
       "2                                                  2                                  \n",
       "3                                                  2                                  \n",
       "4                                                  0                                  \n",
       "\n",
       "   Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?  \\\n",
       "0                                                  1                                             \n",
       "1                                                  2                                             \n",
       "2                                                  1                                             \n",
       "3                                                  2                                             \n",
       "4                                                  1                                             \n",
       "\n",
       "   Would you feel more comfortable talking to your coworkers about your physical health or your mental health?  \\\n",
       "0                     Same level of comfort for each                                                             \n",
       "1                     Same level of comfort for each                                                             \n",
       "2                     Same level of comfort for each                                                             \n",
       "3                                    Physical health                                                             \n",
       "4                     Same level of comfort for each                                                             \n",
       "\n",
       "   Would you have been willing to discuss your mental health with your coworkers at previous employers?  \\\n",
       "0               No, at none of my previous employers                                                      \n",
       "1                   At some of my previous employers                                                      \n",
       "2                   At some of my previous employers                                                      \n",
       "3                   At some of my previous employers                                                      \n",
       "4                   At some of my previous employers                                                      \n",
       "\n",
       "   Would you have been willing to discuss your mental health with your direct supervisor(s)?  \\\n",
       "0                Yes, all of my previous supervisors                                           \n",
       "1                No, none of my previous supervisors                                           \n",
       "2                No, none of my previous supervisors                                           \n",
       "3                    Some of my previous supervisors                                           \n",
       "4                    Some of my previous supervisors                                           \n",
       "\n",
       "   Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?  \n",
       "0                                    Physical health                                                                         \n",
       "1                                    Physical health                                                                         \n",
       "2                                    Physical health                                                                         \n",
       "3                                    Physical health                                                                         \n",
       "4                     Same level of comfort for each                                                                         \n",
       "\n",
       "[5 rows x 54 columns]"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8934bf01",
   "metadata": {},
   "source": [
    "## 3. Other Columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "d13c82fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Did your previous employers provide resources to learn more about mental health disorders and how to seek help?</th>\n",
       "      <th>Do you know the options for mental health care available under your employer-provided health coverage?</th>\n",
       "      <th>Have you observed or experienced a supportive or well handled response to a mental health issue in your current or previous workplace?</th>\n",
       "      <th>Have you observed or experienced an unsupportive or badly handled response to a mental health issue in your current or previous workplace?</th>\n",
       "      <th>Have your previous employers provided mental health benefits?</th>\n",
       "      <th>How many employees does your company or organization have?</th>\n",
       "      <th>If a mental health issue prompted you to request a medical leave from work, how easy or difficult would it be to ask for that leave?</th>\n",
       "      <th>If you have a mental health disorder, how often do you feel that it interferes with your work when NOT being treated effectively (i.e., when you are experiencing symptoms)?</th>\n",
       "      <th>If you have a mental health disorder, how often do you feel that it interferes with your work when being treated effectively?</th>\n",
       "      <th>Was your anonymity protected if you chose to take advantage of mental health or substance abuse treatment resources with previous employers?</th>\n",
       "      <th>Were you aware of the options for mental health care provided by your previous employers?</th>\n",
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       "      <th>Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>Some did</td>\n",
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       "      <td>1</td>\n",
       "      <td>Yes, I experienced</td>\n",
       "      <td>Yes, I experienced</td>\n",
       "      <td>I don't know</td>\n",
       "      <td>100-500</td>\n",
       "      <td>I don't know</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>Yes, always</td>\n",
       "      <td>N/A (was not aware)</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>female</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>No, at none of my previous employers</td>\n",
       "      <td>Yes, all of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>None did</td>\n",
       "      <td>None did</td>\n",
       "      <td>1</td>\n",
       "      <td>Maybe/Not sure</td>\n",
       "      <td>Yes, I observed</td>\n",
       "      <td>Some did</td>\n",
       "      <td>100-500</td>\n",
       "      <td>I don't know</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>Not applicable to me</td>\n",
       "      <td>I don't know</td>\n",
       "      <td>I was aware of some</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>No, none of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>None did</td>\n",
       "      <td>None did</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes, I experienced</td>\n",
       "      <td>Yes, I experienced</td>\n",
       "      <td>Some did</td>\n",
       "      <td>Jun-25</td>\n",
       "      <td>Difficult</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>Sometimes</td>\n",
       "      <td>I don't know</td>\n",
       "      <td>N/A (was not aware)</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>No, none of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>None did</td>\n",
       "      <td>Some did</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes, I observed</td>\n",
       "      <td>Yes, I observed</td>\n",
       "      <td>No, none did</td>\n",
       "      <td>100-500</td>\n",
       "      <td>Somewhat easy</td>\n",
       "      <td>Not applicable to me</td>\n",
       "      <td>Rarely</td>\n",
       "      <td>Yes, always</td>\n",
       "      <td>I was aware of some</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>male</td>\n",
       "      <td>Caucasian</td>\n",
       "      <td>Physical health</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>Some of my previous supervisors</td>\n",
       "      <td>Physical health</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>None did</td>\n",
       "      <td>None did</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes, I observed</td>\n",
       "      <td>No</td>\n",
       "      <td>Some did</td>\n",
       "      <td>Jun-25</td>\n",
       "      <td>Very easy</td>\n",
       "      <td>Often</td>\n",
       "      <td>Rarely</td>\n",
       "      <td>Yes, always</td>\n",
       "      <td>I was aware of some</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>female</td>\n",
       "      <td>Asian</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "      <td>At some of my previous employers</td>\n",
       "      <td>Some of my previous supervisors</td>\n",
       "      <td>Same level of comfort for each</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?  \\\n",
       "0                                           Some did                                                                                  \n",
       "1                                           None did                                                                                  \n",
       "2                                           None did                                                                                  \n",
       "3                                           None did                                                                                  \n",
       "4                                           None did                                                                                  \n",
       "\n",
       "  Did your previous employers provide resources to learn more about mental health disorders and how to seek help?  \\\n",
       "0                                           Some did                                                                \n",
       "1                                           None did                                                                \n",
       "2                                           None did                                                                \n",
       "3                                           Some did                                                                \n",
       "4                                           None did                                                                \n",
       "\n",
       "  Do you know the options for mental health care available under your employer-provided health coverage?  \\\n",
       "0                                                  1                                                       \n",
       "1                                                  1                                                       \n",
       "2                                                  0                                                       \n",
       "3                                                  0                                                       \n",
       "4                                                  1                                                       \n",
       "\n",
       "  Have you observed or experienced a supportive or well handled response to a mental health issue in your current or previous workplace?  \\\n",
       "0                                 Yes, I experienced                                                                                       \n",
       "1                                     Maybe/Not sure                                                                                       \n",
       "2                                 Yes, I experienced                                                                                       \n",
       "3                                    Yes, I observed                                                                                       \n",
       "4                                    Yes, I observed                                                                                       \n",
       "\n",
       "  Have you observed or experienced an unsupportive or badly handled response to a mental health issue in your current or previous workplace?  \\\n",
       "0                                 Yes, I experienced                                                                                           \n",
       "1                                    Yes, I observed                                                                                           \n",
       "2                                 Yes, I experienced                                                                                           \n",
       "3                                    Yes, I observed                                                                                           \n",
       "4                                                 No                                                                                           \n",
       "\n",
       "  Have your previous employers provided mental health benefits?  \\\n",
       "0                                       I don't know              \n",
       "1                                           Some did              \n",
       "2                                           Some did              \n",
       "3                                       No, none did              \n",
       "4                                           Some did              \n",
       "\n",
       "  How many employees does your company or organization have?  \\\n",
       "0                                            100-500           \n",
       "1                                            100-500           \n",
       "2                                             Jun-25           \n",
       "3                                            100-500           \n",
       "4                                             Jun-25           \n",
       "\n",
       "  If a mental health issue prompted you to request a medical leave from work, how easy or difficult would it be to ask for that leave?  \\\n",
       "0                                       I don't know                                                                                     \n",
       "1                                       I don't know                                                                                     \n",
       "2                                          Difficult                                                                                     \n",
       "3                                      Somewhat easy                                                                                     \n",
       "4                                          Very easy                                                                                     \n",
       "\n",
       "  If you have a mental health disorder, how often do you feel that it interferes with your work when NOT being treated effectively (i.e., when you are experiencing symptoms)?  \\\n",
       "0                                          Sometimes                                                                                                                             \n",
       "1                                          Sometimes                                                                                                                             \n",
       "2                                          Sometimes                                                                                                                             \n",
       "3                               Not applicable to me                                                                                                                             \n",
       "4                                              Often                                                                                                                             \n",
       "\n",
       "  If you have a mental health disorder, how often do you feel that it interferes with your work when being treated effectively?  \\\n",
       "0                                          Sometimes                                                                              \n",
       "1                               Not applicable to me                                                                              \n",
       "2                                          Sometimes                                                                              \n",
       "3                                             Rarely                                                                              \n",
       "4                                             Rarely                                                                              \n",
       "\n",
       "  Was your anonymity protected if you chose to take advantage of mental health or substance abuse treatment resources with previous employers?  \\\n",
       "0                                        Yes, always                                                                                             \n",
       "1                                       I don't know                                                                                             \n",
       "2                                       I don't know                                                                                             \n",
       "3                                        Yes, always                                                                                             \n",
       "4                                        Yes, always                                                                                             \n",
       "\n",
       "  Were you aware of the options for mental health care provided by your previous employers?  \\\n",
       "0                                N/A (was not aware)                                          \n",
       "1                                I was aware of some                                          \n",
       "2                                N/A (was not aware)                                          \n",
       "3                                I was aware of some                                          \n",
       "4                                I was aware of some                                          \n",
       "\n",
       "  What country do you live in? What country do you work in?  \\\n",
       "0               United Kingdom               United Kingdom   \n",
       "1               United Kingdom               United Kingdom   \n",
       "2     United States of America     United States of America   \n",
       "3     United States of America     United States of America   \n",
       "4     United States of America     United States of America   \n",
       "\n",
       "  What is your gender? What is your race?  \\\n",
       "0               female          Caucasian   \n",
       "1                 male          Caucasian   \n",
       "2                 male          Caucasian   \n",
       "3                 male          Caucasian   \n",
       "4               female              Asian   \n",
       "\n",
       "  Would you feel more comfortable talking to your coworkers about your physical health or your mental health?  \\\n",
       "0                     Same level of comfort for each                                                            \n",
       "1                     Same level of comfort for each                                                            \n",
       "2                     Same level of comfort for each                                                            \n",
       "3                                    Physical health                                                            \n",
       "4                     Same level of comfort for each                                                            \n",
       "\n",
       "  Would you have been willing to discuss your mental health with your coworkers at previous employers?  \\\n",
       "0               No, at none of my previous employers                                                     \n",
       "1                   At some of my previous employers                                                     \n",
       "2                   At some of my previous employers                                                     \n",
       "3                   At some of my previous employers                                                     \n",
       "4                   At some of my previous employers                                                     \n",
       "\n",
       "  Would you have been willing to discuss your mental health with your direct supervisor(s)?  \\\n",
       "0                Yes, all of my previous supervisors                                          \n",
       "1                No, none of my previous supervisors                                          \n",
       "2                No, none of my previous supervisors                                          \n",
       "3                    Some of my previous supervisors                                          \n",
       "4                    Some of my previous supervisors                                          \n",
       "\n",
       "  Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?  \n",
       "0                                    Physical health                                                                        \n",
       "1                                    Physical health                                                                        \n",
       "2                                    Physical health                                                                        \n",
       "3                                    Physical health                                                                        \n",
       "4                     Same level of comfort for each                                                                        "
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obj_df = df.select_dtypes(include=['object']).copy()\n",
    "obj_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "19265985",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1320, 20)"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obj_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "55ff361e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6 ['Some did' 'None did' \"I don't know\" 'Yes, they all did']\n",
      "7 ['Some did' 'None did' 'Yes, they all did']\n",
      "11 [1 0 'None did']\n",
      "20 ['Yes, I experienced' 'Maybe/Not sure' 'Yes, I observed' 'No']\n",
      "21 ['Yes, I experienced' 'Yes, I observed' 'No' 'Maybe/Not sure']\n",
      "23 [\"I don't know\" 'Some did' 'No, none did' 'Yes, they all did']\n",
      "24 ['100-500' 'Jun-25' '26-100' 'More than 1000' '500-1000' '01-May']\n",
      "26 [\"I don't know\" 'Difficult' 'Somewhat easy' 'Very easy'\n",
      " 'Neither easy nor difficult' 'Somewhat difficult']\n",
      "28 ['Sometimes' 'Not applicable to me' 'Often' 'Rarely' 'Never']\n",
      "29 ['Sometimes' 'Not applicable to me' 'Rarely' 'Often' 'Never']\n",
      "38 ['Yes, always' \"I don't know\" 'Sometimes' 'No']\n",
      "40 ['N/A (was not aware)' 'I was aware of some' 'N/A (none offered)'\n",
      " 'Yes, I was aware of all of them' 'No, I only became aware later']\n",
      "41 ['United Kingdom' 'United States of America' 'Switzerland' 'Bangladesh'\n",
      " 'Germany' 'Canada' 'Israel' 'Iceland' 'Japan' 'Indonesia' 'India'\n",
      " 'Portugal' 'Czech Republic' 'Finland' 'Australia' 'South Africa' 'Sweden'\n",
      " 'Spain' 'Hungary' 'Bulgaria' 'Italy' 'Romania' 'Argentina' 'Greece'\n",
      " 'France' 'Ireland' 'Mexico' 'Netherlands' 'New Zealand' 'Poland'\n",
      " 'Belgium' 'Singapore' 'Slovakia' 'Turkey' 'Norway' 'Russia' 'Colombia'\n",
      " 'Ukraine' 'Estonia' 'Brazil' 'Mauritius' 'Nigeria' 'Uruguay' 'Ethiopia'\n",
      " 'Macedonia' 'Hong Kong' 'Croatia' 'Pakistan' 'Philippines' 'Chile'\n",
      " 'Mongolia' 'Egypt' 'Sri Lanka' 'Slovenia' 'Vietnam']\n",
      "42 ['United Kingdom' 'United States of America' 'Switzerland' 'Bangladesh'\n",
      " 'Germany' 'Canada' 'Israel' 'Iceland' 'Japan' 'Indonesia' 'India'\n",
      " 'Portugal' 'Finland' 'Australia' 'South Africa' 'Sweden' 'Spain'\n",
      " 'Hungary' 'Bulgaria' 'Italy' 'Romania' 'Argentina' 'Austria'\n",
      " 'Netherlands' 'France' 'Mexico' 'Swaziland' 'Ireland' 'New Zealand'\n",
      " 'Poland' 'Belgium' 'Singapore' 'Slovakia' 'Luxembourg' 'Turkey' 'Norway'\n",
      " 'Russia' 'Colombia' 'Ukraine' 'Estonia' 'Brazil' 'Mauritius' 'Nigeria'\n",
      " 'Uruguay' 'Ethiopia' 'Macedonia' 'Hong Kong' 'Croatia' 'Other' 'Pakistan'\n",
      " 'Greece' 'Philippines' 'Mongolia' 'Egypt' 'Sri Lanka' 'Slovenia'\n",
      " 'Vietnam']\n",
      "44 ['female' 'male' 'other']\n",
      "45 ['Caucasian' 'Asian' 'Afrcian American' 'Mixed' 'Did not answer'\n",
      " 'American Indian or Alaska Native' 'Hispanic']\n",
      "50 ['Same level of comfort for each' 'Physical health' 'Mental health']\n",
      "51 ['No, at none of my previous employers' 'At some of my previous employers'\n",
      " 'Yes, at all of my previous employers' 'Some of my previous employers']\n",
      "52 ['Yes, all of my previous supervisors'\n",
      " 'No, none of my previous supervisors' 'Some of my previous supervisors'\n",
      " \"I don't know\"]\n",
      "53 ['Physical health' 'Same level of comfort for each' 'Mental health']\n"
     ]
    }
   ],
   "source": [
    "for i in obj_df.columns:\n",
    "    print(df.columns.get_loc(i),df[i].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ceb2737a",
   "metadata": {},
   "source": [
    "### Dealing with `How many employees does your company or organization have?` attribute"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68235dbf",
   "metadata": {},
   "source": [
    "Here, each range will be replaced by a category since most of the attributes in this dataset are ordinal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "de94f2a8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['100-500' 'Jun-25' '26-100' 'More than 1000' '500-1000' '01-May']\n"
     ]
    }
   ],
   "source": [
    "print(df[df.columns[24]].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "0ab6545f",
   "metadata": {},
   "outputs": [],
   "source": [
    "replace_dict={'1-5':1, '6-25':2, '26-100':3, '100-500':4, '500-1000':5, 'More than 1000':6 }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "9e4306bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.replace({df.columns[24]:replace_dict})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "35c0f7cf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[4 'Jun-25' 3 6 5 '01-May']\n"
     ]
    }
   ],
   "source": [
    "print(df[df.columns[24]].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb5635df",
   "metadata": {},
   "source": [
    "### Other columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6fca928",
   "metadata": {},
   "source": [
    "The rest of the columns will be encoded using **Label Encoding**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "8ce1785a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1320, 20)"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obj_df = df.select_dtypes(include=['object']).copy()\n",
    "obj_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "6ffd3204",
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in obj_df.columns:\n",
    "    df[i] = df[i].astype('category')\n",
    "    df[i] = df[i].cat.codes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "c55b3ee5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>Are you openly identified at work as a person with a mental health issue?</th>\n",
       "      <th>Are you self-employed?</th>\n",
       "      <th>Did you ever discuss your mental health with a previous coworker(s)?</th>\n",
       "      <th>Did you ever discuss your mental health with your previous employer?</th>\n",
       "      <th>Did you ever have a previous coworker discuss their or another coworker's mental health with you?</th>\n",
       "      <th>Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?</th>\n",
       "      <th>Did your previous employers provide resources to learn more about mental health disorders and how to seek help?</th>\n",
       "      <th>Do you currently have a mental health disorder?</th>\n",
       "      <th>Do you have a family history of mental illness?</th>\n",
       "      <th>...</th>\n",
       "      <th>What is your gender?</th>\n",
       "      <th>What is your race?</th>\n",
       "      <th>Would you be willing to bring up a physical health issue with a potential employer in an interview?</th>\n",
       "      <th>Would you bring up your mental health with a potential employer in an interview?</th>\n",
       "      <th>Would you feel comfortable discussing a mental health issue with your coworkers?</th>\n",
       "      <th>Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?</th>\n",
       "      <th>Would you feel more comfortable talking to your coworkers about your physical health or your mental health?</th>\n",
       "      <th>Would you have been willing to discuss your mental health with your coworkers at previous employers?</th>\n",
       "      <th>Would you have been willing to discuss your mental health with your direct supervisor(s)?</th>\n",
       "      <th>Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
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       "      <th>1</th>\n",
       "      <td>2017</td>\n",
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       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
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       "      <th>2</th>\n",
       "      <td>2017</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
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       "      <th>3</th>\n",
       "      <td>2017</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 54 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Timestamp  \\\n",
       "0       2017   \n",
       "1       2017   \n",
       "2       2017   \n",
       "3       2017   \n",
       "4       2017   \n",
       "\n",
       "   Are you openly identified at work as a person with a mental health issue?  \\\n",
       "0                                                  0                           \n",
       "1                                                  0                           \n",
       "2                                                  1                           \n",
       "3                                                  0                           \n",
       "4                                                  1                           \n",
       "\n",
       "   Are you self-employed?  \\\n",
       "0                       0   \n",
       "1                       0   \n",
       "2                       0   \n",
       "3                       0   \n",
       "4                       0   \n",
       "\n",
       "   Did you ever discuss your mental health with a previous coworker(s)?  \\\n",
       "0                                                  0                      \n",
       "1                                                  1                      \n",
       "2                                                  1                      \n",
       "3                                                  0                      \n",
       "4                                                  1                      \n",
       "\n",
       "   Did you ever discuss your mental health with your previous employer?  \\\n",
       "0                                                  0                      \n",
       "1                                                  0                      \n",
       "2                                                  0                      \n",
       "3                                                  0                      \n",
       "4                                                  1                      \n",
       "\n",
       "   Did you ever have a previous coworker discuss their or another coworker's mental health with you?  \\\n",
       "0                                                  0                                                   \n",
       "1                                                  0                                                   \n",
       "2                                                  0                                                   \n",
       "3                                                  0                                                   \n",
       "4                                                  1                                                   \n",
       "\n",
       "   Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?  \\\n",
       "0                                                  2                                                                                   \n",
       "1                                                  1                                                                                   \n",
       "2                                                  1                                                                                   \n",
       "3                                                  1                                                                                   \n",
       "4                                                  1                                                                                   \n",
       "\n",
       "   Did your previous employers provide resources to learn more about mental health disorders and how to seek help?  \\\n",
       "0                                                  1                                                                 \n",
       "1                                                  0                                                                 \n",
       "2                                                  0                                                                 \n",
       "3                                                  1                                                                 \n",
       "4                                                  0                                                                 \n",
       "\n",
       "   Do you currently have a mental health disorder?  \\\n",
       "0                                                3   \n",
       "1                                                3   \n",
       "2                                                1   \n",
       "3                                                0   \n",
       "4                                                1   \n",
       "\n",
       "   Do you have a family history of mental illness?  ...  What is your gender?  \\\n",
       "0                                                0  ...                     0   \n",
       "1                                                0  ...                     1   \n",
       "2                                                1  ...                     1   \n",
       "3                                                1  ...                     1   \n",
       "4                                                1  ...                     0   \n",
       "\n",
       "   What is your race?  \\\n",
       "0                   3   \n",
       "1                   3   \n",
       "2                   3   \n",
       "3                   3   \n",
       "4                   2   \n",
       "\n",
       "   Would you be willing to bring up a physical health issue with a potential employer in an interview?  \\\n",
       "0                                                  1                                                     \n",
       "1                                                  1                                                     \n",
       "2                                                  2                                                     \n",
       "3                                                  2                                                     \n",
       "4                                                  0                                                     \n",
       "\n",
       "   Would you bring up your mental health with a potential employer in an interview?  \\\n",
       "0                                                  0                                  \n",
       "1                                                  0                                  \n",
       "2                                                  0                                  \n",
       "3                                                  0                                  \n",
       "4                                                  0                                  \n",
       "\n",
       "   Would you feel comfortable discussing a mental health issue with your coworkers?  \\\n",
       "0                                                  1                                  \n",
       "1                                                  1                                  \n",
       "2                                                  2                                  \n",
       "3                                                  2                                  \n",
       "4                                                  0                                  \n",
       "\n",
       "   Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?  \\\n",
       "0                                                  1                                             \n",
       "1                                                  2                                             \n",
       "2                                                  1                                             \n",
       "3                                                  2                                             \n",
       "4                                                  1                                             \n",
       "\n",
       "   Would you feel more comfortable talking to your coworkers about your physical health or your mental health?  \\\n",
       "0                                                  2                                                             \n",
       "1                                                  2                                                             \n",
       "2                                                  2                                                             \n",
       "3                                                  1                                                             \n",
       "4                                                  2                                                             \n",
       "\n",
       "   Would you have been willing to discuss your mental health with your coworkers at previous employers?  \\\n",
       "0                                                  1                                                      \n",
       "1                                                  0                                                      \n",
       "2                                                  0                                                      \n",
       "3                                                  0                                                      \n",
       "4                                                  0                                                      \n",
       "\n",
       "   Would you have been willing to discuss your mental health with your direct supervisor(s)?  \\\n",
       "0                                                  3                                           \n",
       "1                                                  1                                           \n",
       "2                                                  1                                           \n",
       "3                                                  2                                           \n",
       "4                                                  2                                           \n",
       "\n",
       "   Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?  \n",
       "0                                                  1                                                                         \n",
       "1                                                  1                                                                         \n",
       "2                                                  1                                                                         \n",
       "3                                                  1                                                                         \n",
       "4                                                  2                                                                         \n",
       "\n",
       "[5 rows x 54 columns]"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "ca273030",
   "metadata": {},
   "outputs": [],
   "source": [
    "cnt=0\n",
    "for i in df.columns:\n",
    "    if df[i].dtype=='object':\n",
    "        print(\"YES\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e27806a",
   "metadata": {},
   "source": [
    "### Dealing with `Timestamp`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "aa768e65",
   "metadata": {},
   "outputs": [],
   "source": [
    "replace_dict={i:i-2016 for i in df['Timestamp'].unique()}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "c5191464",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.replace({df.columns[0]:replace_dict})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "689c5d8a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>Are you openly identified at work as a person with a mental health issue?</th>\n",
       "      <th>Are you self-employed?</th>\n",
       "      <th>Did you ever discuss your mental health with a previous coworker(s)?</th>\n",
       "      <th>Did you ever discuss your mental health with your previous employer?</th>\n",
       "      <th>Did you ever have a previous coworker discuss their or another coworker's mental health with you?</th>\n",
       "      <th>Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?</th>\n",
       "      <th>Did your previous employers provide resources to learn more about mental health disorders and how to seek help?</th>\n",
       "      <th>Do you currently have a mental health disorder?</th>\n",
       "      <th>Do you have a family history of mental illness?</th>\n",
       "      <th>...</th>\n",
       "      <th>What is your gender?</th>\n",
       "      <th>What is your race?</th>\n",
       "      <th>Would you be willing to bring up a physical health issue with a potential employer in an interview?</th>\n",
       "      <th>Would you bring up your mental health with a potential employer in an interview?</th>\n",
       "      <th>Would you feel comfortable discussing a mental health issue with your coworkers?</th>\n",
       "      <th>Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?</th>\n",
       "      <th>Would you feel more comfortable talking to your coworkers about your physical health or your mental health?</th>\n",
       "      <th>Would you have been willing to discuss your mental health with your coworkers at previous employers?</th>\n",
       "      <th>Would you have been willing to discuss your mental health with your direct supervisor(s)?</th>\n",
       "      <th>Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?</th>\n",
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       "      <th>1</th>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
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       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 54 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Timestamp  \\\n",
       "0          1   \n",
       "1          1   \n",
       "2          1   \n",
       "3          1   \n",
       "4          1   \n",
       "\n",
       "   Are you openly identified at work as a person with a mental health issue?  \\\n",
       "0                                                  0                           \n",
       "1                                                  0                           \n",
       "2                                                  1                           \n",
       "3                                                  0                           \n",
       "4                                                  1                           \n",
       "\n",
       "   Are you self-employed?  \\\n",
       "0                       0   \n",
       "1                       0   \n",
       "2                       0   \n",
       "3                       0   \n",
       "4                       0   \n",
       "\n",
       "   Did you ever discuss your mental health with a previous coworker(s)?  \\\n",
       "0                                                  0                      \n",
       "1                                                  1                      \n",
       "2                                                  1                      \n",
       "3                                                  0                      \n",
       "4                                                  1                      \n",
       "\n",
       "   Did you ever discuss your mental health with your previous employer?  \\\n",
       "0                                                  0                      \n",
       "1                                                  0                      \n",
       "2                                                  0                      \n",
       "3                                                  0                      \n",
       "4                                                  1                      \n",
       "\n",
       "   Did you ever have a previous coworker discuss their or another coworker's mental health with you?  \\\n",
       "0                                                  0                                                   \n",
       "1                                                  0                                                   \n",
       "2                                                  0                                                   \n",
       "3                                                  0                                                   \n",
       "4                                                  1                                                   \n",
       "\n",
       "   Did your previous employers ever formally discuss mental health (as part of a wellness campaign or other official communication)?  \\\n",
       "0                                                  2                                                                                   \n",
       "1                                                  1                                                                                   \n",
       "2                                                  1                                                                                   \n",
       "3                                                  1                                                                                   \n",
       "4                                                  1                                                                                   \n",
       "\n",
       "   Did your previous employers provide resources to learn more about mental health disorders and how to seek help?  \\\n",
       "0                                                  1                                                                 \n",
       "1                                                  0                                                                 \n",
       "2                                                  0                                                                 \n",
       "3                                                  1                                                                 \n",
       "4                                                  0                                                                 \n",
       "\n",
       "   Do you currently have a mental health disorder?  \\\n",
       "0                                                3   \n",
       "1                                                3   \n",
       "2                                                1   \n",
       "3                                                0   \n",
       "4                                                1   \n",
       "\n",
       "   Do you have a family history of mental illness?  ...  What is your gender?  \\\n",
       "0                                                0  ...                     0   \n",
       "1                                                0  ...                     1   \n",
       "2                                                1  ...                     1   \n",
       "3                                                1  ...                     1   \n",
       "4                                                1  ...                     0   \n",
       "\n",
       "   What is your race?  \\\n",
       "0                   3   \n",
       "1                   3   \n",
       "2                   3   \n",
       "3                   3   \n",
       "4                   2   \n",
       "\n",
       "   Would you be willing to bring up a physical health issue with a potential employer in an interview?  \\\n",
       "0                                                  1                                                     \n",
       "1                                                  1                                                     \n",
       "2                                                  2                                                     \n",
       "3                                                  2                                                     \n",
       "4                                                  0                                                     \n",
       "\n",
       "   Would you bring up your mental health with a potential employer in an interview?  \\\n",
       "0                                                  0                                  \n",
       "1                                                  0                                  \n",
       "2                                                  0                                  \n",
       "3                                                  0                                  \n",
       "4                                                  0                                  \n",
       "\n",
       "   Would you feel comfortable discussing a mental health issue with your coworkers?  \\\n",
       "0                                                  1                                  \n",
       "1                                                  1                                  \n",
       "2                                                  2                                  \n",
       "3                                                  2                                  \n",
       "4                                                  0                                  \n",
       "\n",
       "   Would you feel comfortable discussing a mental health issue with your direct supervisor(s)?  \\\n",
       "0                                                  1                                             \n",
       "1                                                  2                                             \n",
       "2                                                  1                                             \n",
       "3                                                  2                                             \n",
       "4                                                  1                                             \n",
       "\n",
       "   Would you feel more comfortable talking to your coworkers about your physical health or your mental health?  \\\n",
       "0                                                  2                                                             \n",
       "1                                                  2                                                             \n",
       "2                                                  2                                                             \n",
       "3                                                  1                                                             \n",
       "4                                                  2                                                             \n",
       "\n",
       "   Would you have been willing to discuss your mental health with your coworkers at previous employers?  \\\n",
       "0                                                  1                                                      \n",
       "1                                                  0                                                      \n",
       "2                                                  0                                                      \n",
       "3                                                  0                                                      \n",
       "4                                                  0                                                      \n",
       "\n",
       "   Would you have been willing to discuss your mental health with your direct supervisor(s)?  \\\n",
       "0                                                  3                                           \n",
       "1                                                  1                                           \n",
       "2                                                  1                                           \n",
       "3                                                  2                                           \n",
       "4                                                  2                                           \n",
       "\n",
       "   Would you have felt more comfortable talking to your previous employer about your physical health or your mental health?  \n",
       "0                                                  1                                                                         \n",
       "1                                                  1                                                                         \n",
       "2                                                  1                                                                         \n",
       "3                                                  1                                                                         \n",
       "4                                                  2                                                                         \n",
       "\n",
       "[5 rows x 54 columns]"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7bb6032b",
   "metadata": {},
   "source": [
    "### Dealing with `Is your employer primarily a tech company/organization?`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5dccee5f",
   "metadata": {},
   "source": [
    "Since this survey is focused on the Tech Workplace, we will remove rows where the employer is not in Tech."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "4fb6d4a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "delete_rows = df[df['Is your employer primarily a tech company/organization?']==0]\n",
    "for num in range(len(delete_rows)):\n",
    "    df.drop(delete_rows.index[num],axis=0,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "acd50a27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1038, 54)"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0267fa49",
   "metadata": {},
   "source": [
    "#### We have successfully encoded the entire dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "4544cb76",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(r'C:\\Users\\Lenovo\\Desktop\\ML App\\final.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96792ed4",
   "metadata": {},
   "source": [
    "### Now this dataset will be used to create the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ae6700f1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ml",
   "language": "python",
   "name": "ml"
  },
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