final_report.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Social Media may affect generations differently\n",
    "\n",
    "Group Gamon <br>\n",
    "Synthia Sasulski (@synthia2080), Ash Kandari (@KshiteeshKandari), Xavier Skinner (@xskin22), Luis de Santos (@guerej0), Ethan Ng (@eng25)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In today’s world, social media plays a significant role in our lives, often surpassing traditional face-to-face communication. With its rapid growth, there is a pressing need to understand how it affects people's mental health across various age groups. As part of the generation that first grew up with social media, we’ve observed its effects progress through our lives. Our research investigates the relationship between social media usage and its impact on different generations, from young to old, to determine if the effect varies with age. We start with the hypothesis that the influence of social media is not uniform across generations and aim to explore the depth of this impact on mental well-being."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "from ml_analysis import *\n",
    "from helper_code import *\n",
    "from eng_helper_code import *\n",
    "from eng_notebook_functions import snsPlot\n",
    "from eng_notebook_functions import diffSocialPlot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data/Cleaning (code in helper_code.py)\n",
    "\n",
    "The data for our study is drawn from the National Survey on Drug Use and Health (NSDUH), which includes information on mental health, and Pew Research's Core Trends, which track internet and social media usage. We have gathered data from the years 2018, 2019, and 2021; notably, no Core Trends data were collected for 2020 and there are no records available for 2022 and beyond.\n",
    "\n",
    "For both Datasets, first all data is converted to numeric\n",
    "<br><ins>CoreTrends Dataset [cleanUpCoreTrends()]: </ins>\n",
    "<br>Drop 'sns2a' column since all values are empty.\n",
    "<br>Remove values over 98 since those indicate a refused/skipped.\n",
    "<br>Cut age data into bins representing ranges of ages to match with NSDUH.\n",
    "<br>Melt the data into longform, using selected id and values.\n",
    "<br>Convert the values from ints to more descriptive value then drop null values.\n",
    "<br><br>\n",
    "<ins>NSDUH Dataset [cleanUpNSDUH()]:</ins>\n",
    "<br>Remove values over 85 because those indicate a refused/skipped.\n",
    "<br>Cut age data into matching bins as CoreTrends\n",
    "<br>Cut the desired column values into two bins for more relevant/consistent data.\n",
    "<br>Melt the data into longform, using selected id and values\n",
    "<br>Rename AGE2/AGE3 column to age, for consistency and drop null values\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "NSDUH2021Cols = [\"AGE3\",\"IRSEX\",\"AUINPYR\",\"AURXYR\",\"YEATNDYR\",\"YESCHFLT\",\"YEPRBSLV\",\"DSTNRV30\",\"DSTHOP30\",\"DSTCHR30\",\"DSTNGD30\",\"DSTWORST\",\"DSTNRV12\",\"DSTHOP12\",\"DSTCHR12\",\"DSTNGD12\",\"IMPCONCN\",\"IMPGOUT\",\"IMPPEOP\",\"IMPSOC\",\"IMPSOCM\",\"SUICTHNK\",\"SUIPLANYR\",\"ADDPREV\"]; NSDUH201819Cols = [\"AGE2\", \"IRSEX\", \"AUINPYR\",\"AURXYR\",\"YEATNDYR\",\"YESCHFLT\",\"YEPRBSLV\",\"DSTNRV30\",\"DSTHOP30\",\"DSTCHR30\",\"DSTNGD30\",\"DSTWORST\",\"DSTNRV12\",\"DSTHOP12\",\"DSTCHR12\",\"DSTNGD12\",\"IMPCONCN\",\"IMPGOUT\",\"IMPPEOP\",\"IMPSOC\",\"IMPSOCM\",\"SUICTHNK\",\"ADDPREV\"]\n",
    "CoreTrends2021Cols = [\"web1a\", \"web1b\", \"web1c\", \"web1d\", \"web1e\",\"sns2a\", \"sns2b\", \"sns2c\", \"sns2d\", \"sns2e\",\"gender\", \"age\"]; CoreTrends2019Cols = [\"web1a\", \"web1b\", \"web1c\", \"web1d\", \"web1e\",\"sns2a\", \"sns2b\", \"sns2c\", \"sns2d\", \"sns2e\",\"sex\", \"age\"]; CoreTrends2018Cols = [\"web1a\", \"web1b\", \"web1c\", \"web1d\", \"web1e\",\"sns2a\", \"sns2b\", \"sns2c\", \"sns2d\", \"sns2e\",\"sex\", \"age\"]\n",
    "NSDUH2019_wantedCols = readInAndGetWantedColumns(\"datasets/National Survey on Drug Use and Health 2019/NSDUH_2019_Tab.txt\", \"txt\", NSDUH201819Cols); NSDUH2018_wantedCols = readInAndGetWantedColumns(\"datasets/National Survey on Drug Use and Health 2018/NSDUH_2018_Tab.tsv\", \"tsv\", NSDUH201819Cols); NSDUH2021_wantedCols = readInAndGetWantedColumns(\"datasets/National Survey on Drug Use and Health 2021/NSDUH_2021_Tab.txt\", \"txt\", NSDUH2021Cols)\n",
    "CoreTrends2021_wantedCols = readInAndGetWantedColumns(\"datasets/Jan-25-Feb-8-2021-Core-Trends-Survey/Jan 25-Feb 8, 2021 - Core Trends Survey - CSV.csv\", \"csv\", CoreTrends2021Cols); CoreTrends2019_wantedCols = readInAndGetWantedColumns(\"datasets/January-8-February-7-2019-Core-Trends-Survey-SPSS/January 8-February 7, 2019 - Core Trends Survey - CSV.csv\", \"csv\", CoreTrends2019Cols); CoreTrends2018_wantedCols = readInAndGetWantedColumns(\"datasets/January 3-10, 2018 - Core Trends Survey/January 3-10, 2018 - Core Trends Survey - CSV.csv\", \"csv\", CoreTrends2018Cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "CoreTrends_id = ['age']; CoreTrends_values = [\"web1a\", \"web1b\", \"web1c\", \"web1d\", \"web1e\"];NSDUH_id=['AGE2']; NSDUH_values = ['DSTCHR12']\n",
    "CoreTrends2018_long = cleanUpCoreTrends(CoreTrends2018_wantedCols, CoreTrends_id, CoreTrends_values); CoreTrends2019_long = cleanUpCoreTrends(CoreTrends2019_wantedCols, CoreTrends_id, CoreTrends_values); CoreTrends2021_long = cleanUpCoreTrends(CoreTrends2021_wantedCols, CoreTrends_id, CoreTrends_values)\n",
    "NSDUH2018_long = cleanUpNSDUH(NSDUH2018_wantedCols,NSDUH_id,NSDUH_values); NSDUH2019_long = cleanUpNSDUH(NSDUH2019_wantedCols,NSDUH_id,NSDUH_values); NSDUH2021_long = cleanUpNSDUH(NSDUH2021_wantedCols,['AGE3'],NSDUH_values)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EDA\n",
    "\n",
    "<ins>Preliminary Analysis:</ins>\n",
    "For these graphs, we used NSDUH2019_wantedCols and CoreTrends2019_wantedCols to represent the ages and genders. For NSDUH, the ages are mapped oddly, for example, 1 is 12 y.o., 17 is 65+ y.o. The average age is 11, which mapped to actual age is 22/23 y.o. Ages in CoreTrends are just the direct age, because of the inconsistency between the dataset mappings, it is something we must fix with bucketing. NSDUH also has significantly more elements which will need to be accounted for during any possible merging/comparison between the 2 datasets.\n",
    "<br><ins>Interesting Findings:</ins>\n",
    "In the countplot of the NSDUH2019_wantedCols, people that were the age of 15 had the highest count on the graph. In NSDUH there was significantly more amount of 35-49, denote by the mapping 15, with a skew towards ages 22+. However, in CoreTrends the age distributive was more even with a slight skew of 48-72 years old. In the NSDUH gender column, 2 is female and 1 is male. Interestingly enough there are more female respondents. However, in CoreTrends, with the same mapping, there are more male than female respondents."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 2, figsize=(8, 2))\n",
    "sns.countplot(NSDUH2019_wantedCols,x=\"IRSEX\",ax=axes[0]); axes[0].set_title('NSDUH Gender');sns.countplot(NSDUH2019_wantedCols,x=\"AGE2\",ax=axes[1]); axes[1].set_title('NSDUH Age'); plt.tight_layout(); plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NSDUH2019 Average Age: 10.998753028359697 | Min Age: 1 | Max Age: 17 \n",
      "25th Quantile: 7.0 | 50th Quantile: 13.0 | 75th Quantile: 15.0\n",
      "CoreTrends2019 Average Age: 52.731691078561916 | Min Age: 18 | Max Age: 99 \n",
      "25th Quantile: 36.25 | 50th Quantile: 54.0 | 75th Quantile: 66.75\n",
      "NSDUH2019 shape: (56136, 23)\n",
      "CoreTrends2019 shape: (1502, 12)\n"
     ]
    }
   ],
   "source": [
    "NSDUH2019_age = NSDUH2019_wantedCols['AGE2'];CoreTrends2019_age = CoreTrends2019_wantedCols['age']\n",
    "print(f\"NSDUH2019 Average Age: {NSDUH2019_age.mean()} | Min Age: {NSDUH2019_age.min()} | Max Age: {NSDUH2019_age.max()} \\n25th Quantile: {NSDUH2019_age.quantile(.25)} | 50th Quantile: {NSDUH2019_age.quantile(.5)} | 75th Quantile: {NSDUH2019_age.quantile(.75)}\");print(f\"CoreTrends2019 Average Age: {CoreTrends2019_age.mean()} | Min Age: {CoreTrends2019_age.min()} | Max Age: {CoreTrends2019_age.max()} \\n25th Quantile: {CoreTrends2019_age.quantile(.25)} | 50th Quantile: {CoreTrends2019_age.quantile(.5)} | 75th Quantile: {CoreTrends2019_age.quantile(.75)}\");print(f\"NSDUH2019 shape: {NSDUH2019_wantedCols.shape}\"); print(f\"CoreTrends2019 shape: {CoreTrends2019_wantedCols.shape}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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33nhDnTt31t69e1W5cuWCLg8AAAAAgAKVNGONpXGRT3b4MzNzpbXME109qsmb/L6R8eqrr+rhhx/WI488IkmaPn26Vq9erVmzZmny5MlZxqempio1NdX5/Ny5c5Kk85cuWt5mYHLyH5mL3stkjP8jc8lSJsiDTIhLJjWHkX9Kdslc9iBzJc+Z332QsTo+c+aCH2dSLl7N03h/z1z048yllLxlrI6/3kyqjzKX8/j+JelqSt7/Tl9Nyfvx5mpK3o9rVzzKWDvm+jpzJcX676nClHHdZylkPMpcyFPG6vjrz/zuVxnXfXY+z5nLHmRSPchcspwJcf580XImyINMoPPnFMuZYnkanzlzwZPMxbxkAj3O/G4xk3k/ezcT7Pz5/KW8zxurmeLJxfOccfl3yyVrf0evJ2N1vCQFOzPWj2vXlbloPROUx4zrvymt/f7wZSbj2GaMyXGsw+Q2ogBdvnxZISEh+uCDD9SzZ0/n8qeeeko7duxQfHx8lsy4ceM0fvx4X5YJAAAAAADyyZEjR1SpUqVsX/frMzJOnjyptLQ0RUVFuSyPiopSYmKi28yYMWM0YsQI5/P09HSdPn1a4eHhcjgczuXJycmKjo7WkSNHVKJECUv1kCHjScZf6yJT+DL+WheZwpfx17rIFL6Mv9ZFpvBl/LUuMoUv4691+UvGGKPz58+rQoUKOa7DrxsZGTI3IKQ/3ty1yzIEBgYqMDDQZVmpUqWyXXeJEiUs73AyZK4n4691kSl8GX+ti0zhy/hrXWQKX8Zf6yJT+DL+WheZwpfx17r8IVOyZMlcs379rSURERG66aabspx9kZSUlOUsDQAAAAAAUPj5dSOjWLFiatCggT7//HOX5Z9//rmaNWtWQFUBAAAAAICC4veXlowYMUIPPPCAGjZsqKZNm2rOnDk6fPiw/va3v13XegMDA/XCCy9kuQyFDJn8zvhrXWQKX8Zf6yJT+DL+WheZwpfx17rIFL6Mv9ZFpvBl/LUuf89cy6+/tSTD66+/rqlTpyohIUExMTGaNm2aWrRoUdBlAQAAAAAAH7NFIwMAAAAAAEDy83tkAAAAAAAAZEYjAwAAAAAA2AaNDAAAAAAAYBs0MgAAAAAAgG3QyAAAAAAAALZRpKALKIzS09P11Vdf6fDhw5KkypUr684771RAQN77RqdOnVJ4eHieMmfOnFHp0qVzHXf16lXt3r1b1atXV8mSJS2vf+7cuXr44Ye9UlOGvXv3auvWrapbt67q1avndswPP/ygmJiYPNUhST/++KPKlCmjyMhI/fTTT9q0aZNiYmLUoEEDt+NTU1MVFxenQ4cOqWjRorrtttvUunXrHLfBHPC8pgz+NAekvM8D5oDnNWXw1hzwxZ9/hoKcB8yBnPlqHtjhWMAcYA5I9p4HzIGcMQeyxxxwZeWYK/n2s1S2zA1m37595vjx48YYYw4cOGDmz59vtm7dmmPm0qVLZvny5WbatGlm5syZZt26ddmO/eqrr0yVKlVMkyZNTL9+/Uzfvn1N48aNTZUqVcyXX36Z53qjo6PdLt+xY4epWbOmCQoKMr169TInTpxwvnbHHXe4zaxdu9ZERESYyMhIEx8fbxo1amRq1aplwsPDzYYNG9xmVq5cmeVRrlw558/uTJ8+3fnzr7/+am677TYTFBRkqlatanbt2uU207p1a5OYmGiMMea9994zFStWNP369TNVq1Y1b775ptuMw+EwdevWNf/+97/NqVOn3I651tSpU01kZKSJjo42ixYtMpUrVzZ9+/Y10dHRZsaMGVnGr1u3zkRHR5s6deqYwMBA065dO/OXv/zFNGrUyBw9etTtNpgDhWsOGJP3ecAc8N854Is//wy+mAfMAf89Dhjjv8cC5gBzwJjCNQ+YA8wB5oBnc8CTY64vP0vl5IZqZPhip9epU8ds2bIly/LNmzebmJgYt9twd0DIeJQtW9ZtpmXLlmbFihXm5MmT5rnnnjO1atVy1lOvXj23mcaNG5sdO3aY9evXm/DwcLN27VpjjDHfffedad68uduMw+EwzZo1M61atXI+goKCTKtWrUzr1q3dZjL/RbnvvvvMzJkzjTHGLF261LRr185tJvO+adq0qTl8+LAxxpjTp0+bOnXqZJtZunSp6dKliylevLi59957zeeff+52bIbbbrvNnD592hw+fNiEhISYX3/91RhjzIkTJ0zt2rXdvpcff/zRGGPMt99+ax566CFjjDFz5swx99xzj9ttMAcK1xzIeD95mQfMAf+dA77488/gi3nAHPDf44Ax/nssYA4wB4wpXPOAOcAcYA54Ngc8Oeb68rNUTm6oRoYvdnqNGjWy3X52rwUEBJjWrVu7HBAyHxiyqyuzhQsXmpo1a5rDhw9n23HLPIFvvvlml9duv/12t5n58+ebZs2amc2bNzuXVa1a1e1Yd9upW7eupe3UrFnTXL161RhjzF//+leX17L7C575fR49etRMnDjR3HLLLaZKlSpm/PjxuWYqV66cbd3Z1d+gQQOXmt1hDhSuOeDuPeQ2D5gD/jsHfPHnn8EX84A54L/HAWP891jAHGAOGFO45gFzgDnAHPBsDlzvMdfbn6VyckPdIyMwMFClS5dW6dKlFRERoWrVqkmSIiIiVLRoUbeZtLQ03XrrrZKkJk2aaPjw4ZKkoUOH6uWXX84y/uabb9b//u//avjw4c5rl06dOqWZM2c6t3etGjVqaO7cuW5fj46OdptJSUlRenq687qqgQMHqmjRomrbtq1SU1PdZtLT050/9+3bN9vXMhs0aJDatWunRx99VHXq1NH48ePlcDjcjs2QnJysuLg4paen6+rVqy6vGWPcZu6//37dd999mjJlinr37q2JEydqwIABiouLy3a/ZVaxYkU988wzeuaZZ7RhwwbNmzfP7bigoCCtXLlSZ86ckcPh0LJly9S7d29t3LhRN910U5bxYWFh2rhxo1q0aKHly5crMjIy11qYA4VrDkh5nwfMAf+dA77488/gi3nAHHDlT8cByX+PBcwB5oBUeOcBc4A5wBywPgeu3c8TJkzQwIEDc9zPvvwslSOP2h821bRpU7NixQqzcOFCU6VKFbN06VJjjDHx8fEuXaHMmjdvbuLj440xxnz44Yemc+fOztfcdY+SkpLM4MGDTWhoqClevLgJDQ01oaGhZvDgwc57c1xr0qRJLl3NzCZPnux2+ZAhQ8ynn36aZfl7771nihYt6jYzePBgc+7cuSzLf/rpp2xPH8ts1qxZpn79+qZ8+fI5jmvZsqVL1zDjlKbjx4+bhg0bZpubPn26qVSpkgkMDDQOh8OUKFHCPPbYY+bkyZNuxzdr1izXmq+1detWc8cdd5j69eubHTt2mAEDBpiQkBATHh5uvvjiiyzjN2/ebCpVqmRCQkJM9erVze7du40xxiQmJmbb3b12DmTMA+aAf8yBLVu2ZDsHMk6pvFZe50FSUpIZMmQIxwE/nAPX8+dfvHhxy8cBY7LOg4xHfs6DG2EOhIWF+dVxIC/zwN0c8Idjgd3mgL/9LsjrHOBzoffngZ3mgL8cB4xhDvjiM6Ex/n0cMCbvx1xffpbKyQ3VyMjrP2KNub6dfurUKcs3mylIV69eNZcvX7Y09uDBg2bx4sUeb+fChQu5jktOTvbpfjt58qRJS0vLdYwnMuaAJ+/n9OnTPstcvXrVpKamWhrv6RzI2E5e5oCv9sHx48dznQPGuM4Dq9vJ+POPi4vLc12rVq3yWSYtLc3rcyBjO3mZA77YbwsXLszzn39et2GH3wd5nQPvvvuux9ux6++CjHGeOHXqlDl+/LjZsGGD88ZqVuuKj4/3aiZj/NGjRy3PgS1btph3333Xo7qOHj1qeQ74ap+dOHHCLF261Bw7dszS+q1u58yZM86frR4HMmesys9MTp8Jrs1Y+X2Q03aymweZM1aOBfn1/nM7DmRk8noc+P33383ly5edc2D9+vW5zrXff//dXLlyxbndDRs2+Cxz+PDhHI8FmTPbtm0zixcv9ng7OR0LMvZbxhzIbb9d7/s/ffq0+eCDD3LNnD9/3iQlJeVpO8YYs337drNs2TKzYMEC88svv+Q63hhjvv/+e7N8+XKzYsUKr2a2b99u3n777TzVtn37dud2tm3bZul36ObNm/NcW3ZuqEaGO/n9weXQoUOmQ4cOpkaNGmbkyJHm4sWLzteuve4ow2+//ebzzIgRI7y6nY4dO+Yp48v9lpfaPHkvO3bsMPXr1zeNGzc2e/fuNV26dDEhISEmOjra7Ny5021m586dpn79+qZRo0bOTHBwsImOjs72bs6+ymS8H3eZ3N5P5n1gdTv5td+yy7jbzvXsA3eZPXv2ZHlUqlTJ7N271+zZs8ftNsj4JuOruowx5v3333f+fPLkSdO1a1dTokQJ07JlS/Pbb7/lmjlx4oTp0qVLjpmcxmfcsOt6t+HuvXTp0sWEhYXlOZPX7Xhjn+WUadWqVb6+nwceeMD5j9y1a9eayMhI07hxYxMZGWk+/vhjS5myZcvme8YX28ivjL/ss2sz69ats5QpWrSoufvuu80nn3xi6fOmXTIff/yxX9Xm6Tbuuecer2cWLFhggoKCTKVKlczatWtNxYoVTaNGjUx4eLjLceV6M2+//bZPMr6qLa/b8dV78SSzc+dOExMTY0qUKGECAgJMTEyMKVOmjOnbt6/bM2KMMWbXrl0mJibGhIWFOTOlS5c2ffr0yddMRm2ZM7nVll+Z3GrLzQ3fyMiQ001Y8pLp3LmzmTlzptm6dat58MEHTbNmzUxycrIxJvubn5Dx34wn22jRooX56KOPzPz5803lypXN22+/bYz549Kk9u3bk7kBMg6Hw1StWtXlUaRIEVO1alVTrVo1t9sg45uMr+oyxvVmWEOHDjWjR482CQkJ5pVXXjE9evTIl4wvtkHG80zmG6W1aNHC2WA9dOhQtjde80XGX+sqjJmaNWual19+2dSuXduUL1/ejB492uzfv9/tWLtmDhw4UOC1+fM+q1Onjjl06JDZuXOnKVmypPPbK3766adsb3RJJu8Zf63LmD9ub5D5VgWxsbEmNTXVPPvss+bBBx8kk00mNzdUI8Pd/6rt2bPH/PDDD9le25VdZs+ePW4z1/4imzhxomnUqJE5e/Zstr/kyPhvxpNtZG5wXPs9z9kd4MgUrsy4ceNM586dzaFDh5zLcrujNxnfZHxVlzFZ79KecVfwjOf5kfHFNsh4nsn8Hx7XXgee3dfa+SLjr3UVxkzmzwqbNm0yQ4cONSVKlDB33XWXWbBgAZl8yvhrXddmqlSp4vJadv8pRibvGX+ty5isnxUzHz+y+890MrkLuP7bhdpHTEyMunXrpq5du7o8unXrppMnT+Yp07VrV7eZlJQUl+fPPPOM+vXrp7Zt2+r8+fNut0HGfzOebMNkuvty69ats32NTOHNvPDCC5o4caLuv/9+zZ49W5JyvaM3Gd9kfFWXJKWmpmrfvn3au3evAgICXO7knV0+rxlfbIOM55mOHTsqNjZWKSkpateund555x0ZYxQXF+e8c31BZPy1rsKYyaxp06aaM2eOEhISNGTIEM2dO5eMFzL+VldAQID27Nmjr776ShcuXNC3334rSTpw4IDS0tLI5FPGX+uSpKJFi+rAgQOSpM2bNys0NNT5Wnbf8kHGAo/aHzZVtWpV83//939uX6tUqVK+ZHr06OH25nSvvPKKcTgcbtdDxn8znmyjQ4cObq/1OnbsmGncuDGZGyRjjDGpqalm9OjRpk2bNqZixYrZjiPj+4wvtlGlShVTrVo15+UoR44cMcaYHM/oymvGF9sg43kmNTXVxMbGmlKlSpmbb77ZOBwOU6RIEdOxY0fz66+/FljGX+sqjJns/oc2J2TynvHXuoz54+bQ4eHhJiIiwqxdu9a0a9fO1K5d25QsWdIsWbKETD5l/LUuY4yJi4szERERpnbt2iYyMtJ8+eWXxhhjEhISzCOPPEImm0xubqhGxt///nfnTrvW8OHD8yVz6dIlc+nSJbfjM75qiIx9Mp5sIzvJycnOD75kbqzMN998Y1588cU8rZuMbzK+qiuzCxcuZPuPnvzK+GIbZKxnLly4YHbt2mW2bdtm+ebhvsj4a12FKXP27FlL6yRzfRl/rcudq1evmq1bt2b7tZtk8ifjb3WdOXPGbN26NU83tiSTM4cx2ZxLDQAAAAAA4GduqHtkAAAAAAAAe6ORAQAAAAAAbINGBgAAAAAAsA0aGQAAAAAAwDZoZAAAAAAAANugkQEAAAAAAGyDRgYAAAAAALANGhkAAMBvrFq1SnfeeadKlSql8PBwdevWTb/88ovz9U2bNqlevXoKCgpSw4YN9dFHH8nhcGjHjh3OMXv37lWXLl0UGhqqqKgoPfDAAzp58mQBvBsAAOANNDIAAIDfuHDhgkaMGKEtW7Zo7dq1CggIUM+ePZWenq7z58+re/fuqlOnjrZv365//etfGj16tEs+ISFBLVu2VL169bR161atWrVKx48fV79+/QroHQEAgPzmMMaYgi4CAADAnRMnTigyMlK7d+/WV199peeee05Hjx5VUFCQJOm///2vhg4dqu+//1716tXT2LFj9d1332n16tXOdRw9elTR0dHav3+/atasWVBvBQAA5BPOyAAAAH7jl19+Uf/+/VW9enWVKFFC1apVkyQdPnxY+/fvV926dZ1NDElq3LixS37btm1av369QkNDnY9atWo51w0AAOyvSEEXAAAAkKF79+6Kjo7Wm2++qQoVKig9PV0xMTG6fPmyjDFyOBwu4689sTQ9PV3du3fXlClTsqy7fPnyXq0dAAD4Bo0MAADgF06dOqV9+/bpjTfe0F133SVJ+uqrr5yv16pVS++8845SU1MVGBgoSdq6davLOurXr69ly5apatWqKlKEjzkAABRGXFoCAAD8QunSpRUeHq45c+bo559/1rp16zRixAjn6/3791d6eroeffRR7du3T6tXr9bLL78sSc4zNYYPH67Tp0/r/vvv1+bNm/Xrr79qzZo1GjJkiNLS0grkfQEAgPxFIwMAAPiFgIAALVmyRNu2bVNMTIyefvppvfTSS87XS5QooU8//VQ7duxQvXr19Oyzz2rs2LGS5LxvRoUKFfT1118rLS1NHTt2VExMjJ566imVLFlSAQF87AEAoDDgW0sAAIBtvfPOOxo8eLDOnTun4ODggi4HAAD4ABePAgAA23j77bdVvXp1VaxYUTt37tTo0aPVr18/mhgAANxAaGQAAADbSExM1NixY5WYmKjy5curb9++mjhxYkGXBQAAfIhLSwAAAAAAgG1w1ysAAAAAAGAbNDIAAAAAAIBt0MgAAAAAAAC2QSMDAAAAAADYBo0MAAAAAABgGzQyAAAAAACAbdDIAAAAAAAAtkEjAwAAAAAA2Mb/A0U+NJeaQL07AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1300x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 100x100 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(13, 2));sns.countplot(CoreTrends2019_wantedCols,x=\"age\")\n",
    "plt.xticks(rotation=90, fontsize=8); plt.title(\"CoreTrends Age\");plt.figure(figsize=(1, 1));sns.countplot(CoreTrends2019_wantedCols,x=\"sex\"); plt.title(\"CoreTrends Gender\"); plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visual 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "percDepressed_NSDUH2018 = getPercentage(NSDUH2018_long, \"Depressed\", \"age\", 2018); percDepressed_NSDUH2019 = getPercentage(NSDUH2019_long, \"Depressed\", \"age\", 2019); percDepressed_NSDUH2021 = getPercentage(NSDUH2021_long, \"Depressed\", \"age\", 2021)\n",
    "SMUse_sum_CoreTrends2018 = getPercentage(CoreTrends2018_long, \"Uses Social Media\", \"age\", 2018); SMUse_sum_CoreTrends2019 = getPercentage(CoreTrends2019_long, \"Uses Social Media\", \"age\", 2019); SMUse_sum_CoreTrends2021 = getPercentage(CoreTrends2021_long, \"Uses Social Media\", \"age\", 2021)\n",
    "CoreTrends_SMUseSum_concat = pd.concat([SMUse_sum_CoreTrends2018,SMUse_sum_CoreTrends2019, SMUse_sum_CoreTrends2021]);NSDUH_concat = pd.concat([percDepressed_NSDUH2018,percDepressed_NSDUH2019,percDepressed_NSDUH2021])\n",
    "plt.figure(figsize=(5, 2));sns.barplot(data=NSDUH_concat, x='age', y='percentage',hue='dataset', palette='bright'); sns.barplot(data=CoreTrends_SMUseSum_concat, x='age', y='percentage', hue='dataset' ,palette='dark')\n",
    "plt.title(\"As social media use increases for Millenials & up, so does depression. Inversely so for Gen Z.\");plt.ylabel(\"Percentage\"); plt.xlabel(\"Age Group\"); plt.legend(loc='upper right', bbox_to_anchor=(1.6, 1)); plt.xticks(rotation=10);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The most interesting result from this data is non-intuitive correllations between the 2 trends in the graph.\n",
    "For 18-25 year olds (roughly Gen Z), there was an inverse correlation. The percentage of those depressed consistently increased, while social media usage consistently decreased. However for ages 26-49 (roughly Millenials & Gen X), both depression and social media usage percentages increased.For ages 50-64, Depression remained relatively unchaged while social media usage increased. And for ages 60+ there was no data on Depression so a correllation cannot be made, unless we interpret that as people 65+ refusing to acknowledge mental health which would be an interesting result.\n",
    "The most surprising result is regarding Gen Z having the inverse correlation with depression and social media usage, as one may have expected a result similar to those for Millenials/Gen X. However, what isn't surprising is the fact that the percentages of those depressed decreases throughout the generations as younger people are often more willing/open to acknowledge and in some cases even embrace their mental health struggles."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visual 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "NSDUH2018df = buildNSDUH2018df();NSDUH2019df = buildNSDUH2019df();NSDUH2021df = buildNSDUH2021df();coreTrends2018df = buildCoreTrends2018df();coreTrends2019df = buildCoreTrends2019df();coreTrends2021df = buildCoreTrends2021df()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(7, 3))\n",
    "snsPlot(coreTrends2018df, '2018', ax, 'blue');snsPlot(coreTrends2019df, '2019', ax, 'orange');snsPlot(coreTrends2021df, '2021', ax, 'green')\n",
    "diffSocialPlot(NSDUH2018df, ax, '2018', 'blue');diffSocialPlot(NSDUH2019df, ax, '2019', 'orange');diffSocialPlot(NSDUH2021df, ax, '2021', 'green')\n",
    "sns.set_palette(\"dark\");plt.title('Social Life is Impacted by Mental Health against Daily Social Media Use');plt.xlabel('Age Group');plt.ylabel('Percentage of People');plt.legend(title='Year', loc='upper left', bbox_to_anchor=(1.1,1));plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This graph is composed of two plots over the course of 3 years. \n",
    "The first is of the number of people that reported that they felt that their social life had been negatively impacted by their mental health.\n",
    "The second is of the number of people that reported that they used Social Media on a daily basis.\n",
    "A notable observation from the data is the discernible correlation between the escalating trend in daily Social Media usage and the simultaneous rise in individuals reporting adverse impacts on their social well-being which they attribute to mental health factors. Furthermore, this pattern persists almost uniformly across all generations.\n",
    "This suggests a potential correlation, or even causation, between the two trends. However, confirming this would require additional data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visual 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "id = ['AGE'];vals = ['DSTNRV12'];CoreTrends_id = ['age'];CoreTrends_values = [\"totalFreq\"]\n",
    "NSDUH2018_long = cleanUpNS(NSDUH2018_wantedCols, id, vals, 2018);NSDUH2019_long = cleanUpNS(NSDUH2019_wantedCols, id, vals, 2019);NSDUH2021_long = cleanUpNS(NSDUH2021_wantedCols, id, vals, 2021)\n",
    "CoreTrends2018_long = cleanUpCT(CoreTrends2018_wantedCols, CoreTrends_id, CoreTrends_values);CoreTrends2019_long = cleanUpCT(CoreTrends2019_wantedCols, CoreTrends_id, CoreTrends_values);CoreTrends2021_long = cleanUpCT(CoreTrends2019_wantedCols, CoreTrends_id, CoreTrends_values)\n",
    "expNS1 = pd.concat([NSDUH2018_long,NSDUH2019_long, NSDUH2021_long]);expCT1 = pd.concat([CoreTrends2018_long,CoreTrends2019_long, CoreTrends2021_long])\n",
    "CT_t = expCT1.rename(columns={\"Frequency of Social Media Use\": \"Frequency (lower = More frequent)\"});NS_t = expNS1.rename(columns={\"Nervousness\": \"Frequency (lower = More frequent)\"})\n",
    "CT_NS = pd.concat([NS_t, CT_t])\n",
    "plt.figure(figsize=(9, 3))\n",
    "sns.boxplot(data=CT_NS, x='Generations', y=\"Frequency (lower = More frequent)\", hue=\"variable\", whis=2, palette=\"magma\");plt.legend(loc='upper right', bbox_to_anchor=(1.27, 1));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This graph shows a comparative analysis of nervousness and social media use across the five generations. The data is visualized with a boxplot showcasing the minimum, first quartile(Q1), median, third quartile(Q3), and maximum; the outliers are shown as diamonds. For genZ and millennials, we can see that these groups show that they feel nervous more often and also use social media more than the older generations; for Gen Z especially, there is a higher average level of nervousness compared to their social media usage, the spread of data for nervousness shows that they experience it pretty frequently. Gen X shows lower usage of social media and nervousness than younger generations. Also, the difference in nervousness levels among Gen X is not as wide compared to Gen Z or Millenials. Young Boomers and Older Boomers both report very low nervousness and social media usage; this could be because of the fact that the boomer generation seems to be negligent towards admitting the feeling of nervousness. However, for young boomers, we can see that there is a bit more variation in how often they feel nervous. It appears that the younger the generation is, the more often they report feeling nervous, and the more their frequency of using social media, and this trend lessens as we go up the generations. We can see that there is a noticeable decrease in both behaviors as the age increases."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ML 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.39\n",
      "Accuracy: 0.48\n"
     ]
    }
   ],
   "source": [
    "SVMStatisticalAnalysis()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this SVM, the goal was to find the internet frequency between age groups (Gen Z, Millenials, etc). Initially, from the first line of our ouput we saw that the accuracy was really low, we felt the reason for this was because we only gave the usage of social media for the respondants, their age, and how often they frequent the internet. We also tried different things methods to better tune the model, like we also tried different kernels and train/test splits. What yielded the best results was (the second line from the output above), giving it more columns things such as education, income, disability, race, the accesibility of internet. Though our accuracy can be considered low, we as a group felt like this is due to lack of data behind this topic. However, regardless of these accuracy scores, by looking at the confusion matrix, we see that model is 60% accurate for Gen Z and Young Boomers, which means Millenials and Gen X are where the model really struggles the most. (We saw accuracy scores as low as 20%)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ML 2 - KNN (ml_analysis.py)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy for 9 neighbors: 75.55%\n"
     ]
    }
   ],
   "source": [
    "knnClassifier(\"IMPSOCM\") #May take a bit over a minute to run"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This KNN model uses the age, gender, amount of depression and hopelessness felt in the past year to predict whether or not the person has had difficulties socializing due to mental health. When experimenting with various features, using only age/gender or only other mental health metrics yielded very weak results, ~30% accuracy, but once we include the depression feature alongside age/gender, it jumps to 71%. When experimenting with adding other mental health related features, most barely increased beyond 71%, except for the feelings of hopelessness feature, which helped increase the accuracy to 75.55%. What this tells us is that age/gender alone has little to do with difficulties socializing due to mental health, and that age/gender alongside feelings of depression/hopelessness are unsurprisingly, better indicators. Feelings of hopelessness adding a relatively significant amount to the accuracy, specifically, shows that while feelings of depression significantly factors into socializing, once someone loses hope, they may feel no desire/reason to socialize even more, since it may seem like a futile endeavor to them, compared to simply not having enough mental energy."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The idea of this project was to identify correlations between social media usage and mental health across generations. What we saw from our data visualization helped us identify some correlations that do exist. The trends seen in the visualizations indicate a complex and variable relationship, which is not one-dimensional in nature. For Gen Z we saw an inverse correlation between social media usage and depresssion, which was something that we did not expect to see. In terms of social life imapcted by negative mental health in relevance to social media usage we noticed the trend that as social media increased, people who reported negative impact on their social with negative mental health also increase, and this trend was infact consistent across generations. In terms of nervousness we saw that Gen Z and Millenials reported higher levels of nervousness with more frequent social media usage, even though the trend decreased with age. We saw that there are areas where there is more to the story than numbers, such as no data on depression for people above 60+ which could be missing for multiple reasons such as negligence etc.\n",
    "In sum, the findings suggest that the correlations between social media use, mental health, and the impact on daily social life are complex and vary with age. While younger generations report more significant mental health challenges with increased social media use, this pattern is less evident in older generations. These insights underscore the need for a nuanced approach to digital well-being across the lifespan. Future research should continue to build on these findings, aiming for a comprehensive understanding that could inform interventions tailored to each generation's unique needs and experiences."
   ]
  }
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