covid19-eda.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ahIRZj6K-3-o"
   },
   "source": [
    "# Chapter 7:  Data Science"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "NS0R02LQwG_2"
   },
   "source": [
    "## Ingest"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "NJntteRBwI46"
   },
   "source": [
    "*COVID-19 Data from [New York Times Github](https://github.com/nytimes/covid-19-data)*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 202
    },
    "id": "1ABhk0OLwejq",
    "outputId": "985ccf95-9dfc-40fe-8281-6484b9bc3377"
   },
   "outputs": [
    {
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       "    }\n",
       "\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>date</th>\n",
       "      <th>state</th>\n",
       "      <th>fips</th>\n",
       "      <th>cases</th>\n",
       "      <th>deaths</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-21</td>\n",
       "      <td>Washington</td>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>Washington</td>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-01-23</td>\n",
       "      <td>Washington</td>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>Washington</td>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "         date       state  fips  cases  deaths\n",
       "0  2020-01-21  Washington    53      1       0\n",
       "1  2020-01-22  Washington    53      1       0\n",
       "2  2020-01-23  Washington    53      1       0\n",
       "3  2020-01-24    Illinois    17      1       0\n",
       "4  2020-01-24  Washington    53      1       0"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv(\"covid19.csv\")\n",
    "#df.to_csv(\"covid19.csv\", index=False)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1iMW3XxnkUXF"
   },
   "source": [
    "Last five rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 202
    },
    "id": "opOpFijSkXR6",
    "outputId": "8425ed2f-b1b0-4516-a217-0f4efdf30d2a"
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   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>state</th>\n",
       "      <th>fips</th>\n",
       "      <th>cases</th>\n",
       "      <th>deaths</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>54545</th>\n",
       "      <td>2022-11-11</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>51</td>\n",
       "      <td>2131894</td>\n",
       "      <td>22232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54546</th>\n",
       "      <td>2022-11-11</td>\n",
       "      <td>Washington</td>\n",
       "      <td>53</td>\n",
       "      <td>1844567</td>\n",
       "      <td>14685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54547</th>\n",
       "      <td>2022-11-11</td>\n",
       "      <td>West Virginia</td>\n",
       "      <td>54</td>\n",
       "      <td>610675</td>\n",
       "      <td>7538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54548</th>\n",
       "      <td>2022-11-11</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>55</td>\n",
       "      <td>1909301</td>\n",
       "      <td>15522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54549</th>\n",
       "      <td>2022-11-11</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>56</td>\n",
       "      <td>179366</td>\n",
       "      <td>1917</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             date          state  fips    cases  deaths\n",
       "54545  2022-11-11       Virginia    51  2131894   22232\n",
       "54546  2022-11-11     Washington    53  1844567   14685\n",
       "54547  2022-11-11  West Virginia    54   610675    7538\n",
       "54548  2022-11-11      Wisconsin    55  1909301   15522\n",
       "54549  2022-11-11        Wyoming    56   179366    1917"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zr7wdjHswKfq"
   },
   "source": [
    "*What are the columns?*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "DwAMxSNSwNWj",
    "outputId": "ebd41475-85cc-4166-de5c-5595b0d0e222"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['date', 'state', 'fips', 'cases', 'deaths'], dtype='object')"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Q3njEtIJwSCi"
   },
   "source": [
    "*What is the shape:  i.e. rows,columns?*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "kyCznu1cwUv_",
    "outputId": "fb5ea532-c126-4225-ba7e-ca71249245ba"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(54550, 5)"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "PY_nFEZKwI7R"
   },
   "source": [
    "## EDA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "nNw9of3LiQjU"
   },
   "source": [
    "*What are general characteristics of the data?  A good way to find out is `df.describe`*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 295
    },
    "id": "IHuBZouXCYAZ",
    "outputId": "8e4826ed-e1d1-46c0-da39-86188dffc763"
   },
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fips</th>\n",
       "      <th>cases</th>\n",
       "      <th>deaths</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>54550.000000</td>\n",
       "      <td>5.455000e+04</td>\n",
       "      <td>54550.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>32.208964</td>\n",
       "      <td>7.656955e+05</td>\n",
       "      <td>10692.41659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>18.772212</td>\n",
       "      <td>1.296653e+06</td>\n",
       "      <td>16101.83634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>5.673500e+04</td>\n",
       "      <td>951.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>31.000000</td>\n",
       "      <td>3.008700e+05</td>\n",
       "      <td>4398.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>46.000000</td>\n",
       "      <td>9.015760e+05</td>\n",
       "      <td>13442.75000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>78.000000</td>\n",
       "      <td>1.141172e+07</td>\n",
       "      <td>97142.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               fips         cases       deaths\n",
       "count  54550.000000  5.455000e+04  54550.00000\n",
       "mean      32.208964  7.656955e+05  10692.41659\n",
       "std       18.772212  1.296653e+06  16101.83634\n",
       "min        1.000000  1.000000e+00      0.00000\n",
       "25%       17.000000  5.673500e+04    951.00000\n",
       "50%       31.000000  3.008700e+05   4398.00000\n",
       "75%       46.000000  9.015760e+05  13442.75000\n",
       "max       78.000000  1.141172e+07  97142.00000"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "54499"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = df.describe()\n",
    "x.iloc[1].iat[1]\n",
    "#y = pd.to_numeric(df['cases'])\n",
    "df['cases'] = pd.to_numeric(df['cases'])\n",
    "df['cases'].astype(float).idxmax()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3YtAIL7HFjOw"
   },
   "source": [
    "*Cases and Deaths in the USA due to Covid-19*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 297
    },
    "id": "C9vXU4_fCj-8",
    "outputId": "eb684f08-960c-4847-a492-150e26343549"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='cases', ylabel='deaths'>"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.scatterplot(x=\"cases\", y=\"deaths\", \n",
    "                hue=\"deaths\",size=\"deaths\", data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy\n",
    "# sort the data frame by fips code\n",
    "df = df.sort_values(by='fips')\n",
    "# get the unique sorted fips codes and states\n",
    "states = pd.unique(df['state'])\n",
    "fips = pd.unique(df['fips'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig = plt.figure(1, figsize=(12,8), dpi= 100)\n",
    "ax = fig.add_subplot(111)\n",
    "bins = list(range(min(fips), max(fips)))\n",
    "plt.hist(data=df, x = 'fips', bins = bins, edgecolor='black', linewidth=1.2)\n",
    "plt.xticks(fips, states)\n",
    "ax.tick_params(axis='both', which='major', labelsize=10)\n",
    "ax.set_xticklabels(states, rotation = 45, ha=\"right\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_11785/1812298821.py:11: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax.set_xticklabels(latest_rows['state'], rotation = 45, ha=\"right\");\n",
      "/tmp/ipykernel_11785/1812298821.py:17: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax.set_xticklabels(latest_rows['state'], rotation = 45, ha=\"right\");\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Thousand deaths')"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(1, figsize=(12,8), dpi= 100)\n",
    "ax = fig.add_subplot(111)\n",
    "#groupdata = df.groupby(['state']).sum()\n",
    "# subset the data from the latest date\n",
    "lastdate = max(df['date'])\n",
    "latest_idx = pd.Index(df['date']==lastdate)\n",
    "latest_rows = df.iloc[latest_idx]\n",
    "plt.bar(latest_rows['state'], latest_rows['cases']/1000000)\n",
    "#plt.xticks(fips, states)\n",
    "ax.tick_params(axis='both', which='major', labelsize=8)\n",
    "ax.set_xticklabels(latest_rows['state'], rotation = 45, ha=\"right\");\n",
    "ax.set_title('Mio. cases')\n",
    "\n",
    "fig = plt.figure(2, figsize=(12,8), dpi= 100)\n",
    "ax = fig.add_subplot(111)\n",
    "ax.tick_params(axis='both', which='major', labelsize=8)\n",
    "ax.set_xticklabels(latest_rows['state'], rotation = 45, ha=\"right\");\n",
    "ax.set_title('Mio. cases')\n",
    "plt.bar(latest_rows['state'], latest_rows['deaths']/1000)\n",
    "ax.set_title('Thousand deaths')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "O_pRge294dFK"
   },
   "source": [
    "### Date-based EDA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "TSVSSgwev-Pp"
   },
   "source": [
    "*Dealing with dates by setting index*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 179
    },
    "id": "KOzYb89evmrr",
    "outputId": "327c031d-ee8b-4ae0-8683-5b1fa4e1a1d0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Columns: Index(['state', 'fips', 'cases', 'deaths'], dtype='object')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2020-01-21', '2020-01-22', '2020-01-23', '2020-01-24',\n",
       "               '2020-01-24', '2020-01-25', '2020-01-25', '2020-01-25',\n",
       "               '2020-01-26', '2020-01-26',\n",
       "               ...\n",
       "               '2023-03-23', '2023-03-23', '2023-03-23', '2023-03-23',\n",
       "               '2023-03-23', '2023-03-23', '2023-03-23', '2023-03-23',\n",
       "               '2023-03-23', '2023-03-23'],\n",
       "              dtype='datetime64[ns]', name='date', length=61942, freq=None)"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-states.csv\")\n",
    "df[\"date\"] = pd.to_datetime(df[\"date\"])\n",
    "df = df.set_index(\"date\")\n",
    "print(f\"Columns: {df.columns}\")\n",
    "df.index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ULM1KdpWijcS"
   },
   "source": [
    "*Filter results by date range*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 53
    },
    "id": "O1ennZNsvlJx",
    "outputId": "32bbc404-d549-4e6e-c578-05fca252fbe0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Today 2023-04-25\n",
      "Two days ago 2023-04-23\n"
     ]
    }
   ],
   "source": [
    "from datetime import date, timedelta\n",
    "today = date.today()\n",
    "daybefore = today - timedelta(days = 2)\n",
    "print(f\"Today {today}\")\n",
    "print(f\"Two days ago {daybefore}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 233
    },
    "id": "7zuHpxkm1sTA",
    "outputId": "ab87d37c-7186-479d-fc0d-83a69780a66d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last date 2023-03-23 00:00:00\n",
      "Day before 2023-03-22 00:00:00\n"
     ]
    }
   ],
   "source": [
    "df.loc[daybefore:today].head() # this requires the dataset to be updated today\n",
    "# fix:\n",
    "lastdate = max(df.index)\n",
    "# pretty sure they mean to access the last day in the data set only\n",
    "daybefore = lastdate - timedelta(days = 1)\n",
    "print(f\"Last date {lastdate}\")\n",
    "print(f\"Day before {daybefore}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Ek_hurrf5FFi"
   },
   "source": [
    "*The distribution of the data by date*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [],
   "source": [
    "#%pip install -U seaborn # required for seaborn histplot. need to restart kernel after this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 283
    },
    "id": "SHl20wNuiuMw",
    "outputId": "720f5839-d7ac-444f-9f53-f65c598ece8a"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_11785/47191854.py:2: FutureWarning: \n",
      "\n",
      "`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
      "This will become an error in seaborn v0.14.0; please update your code.\n",
      "\n",
      "  sns.kdeplot(df.loc[daybefore][\"deaths\"], shade=True)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='deaths', ylabel='Density'>"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn\n",
    "sns.kdeplot(df.loc[daybefore][\"deaths\"], shade=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='deaths', ylabel='Count'>"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(df.loc[daybefore][\"deaths\"], bins = 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ehV0NJINmR5S"
   },
   "source": [
    "*Sort DataFrame in place by states with highest deaths and cases and show first 10 results*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 387
    },
    "id": "8QcPkd6CnH6q",
    "outputId": "0e30a007-7af4-4adb-e56b-c5e62e0e41e7",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\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>state</th>\n",
       "      <th>fips</th>\n",
       "      <th>cases</th>\n",
       "      <th>deaths</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-03-22</th>\n",
       "      <td>California</td>\n",
       "      <td>6</td>\n",
       "      <td>12155467</td>\n",
       "      <td>104196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-22</th>\n",
       "      <td>Texas</td>\n",
       "      <td>48</td>\n",
       "      <td>8447168</td>\n",
       "      <td>94515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-22</th>\n",
       "      <td>Florida</td>\n",
       "      <td>12</td>\n",
       "      <td>7542869</td>\n",
       "      <td>87141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-22</th>\n",
       "      <td>New York</td>\n",
       "      <td>36</td>\n",
       "      <td>6803974</td>\n",
       "      <td>80138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-22</th>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>42</td>\n",
       "      <td>3539135</td>\n",
       "      <td>50701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-22</th>\n",
       "      <td>Michigan</td>\n",
       "      <td>26</td>\n",
       "      <td>3068195</td>\n",
       "      <td>42311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-22</th>\n",
       "      <td>Ohio</td>\n",
       "      <td>39</td>\n",
       "      <td>3408238</td>\n",
       "      <td>42017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-22</th>\n",
       "      <td>Illinois</td>\n",
       "      <td>17</td>\n",
       "      <td>4099448</td>\n",
       "      <td>41573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-22</th>\n",
       "      <td>Georgia</td>\n",
       "      <td>13</td>\n",
       "      <td>2984923</td>\n",
       "      <td>41055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-22</th>\n",
       "      <td>New Jersey</td>\n",
       "      <td>34</td>\n",
       "      <td>3056798</td>\n",
       "      <td>36092</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   state  fips     cases  deaths\n",
       "date                                            \n",
       "2023-03-22    California     6  12155467  104196\n",
       "2023-03-22         Texas    48   8447168   94515\n",
       "2023-03-22       Florida    12   7542869   87141\n",
       "2023-03-22      New York    36   6803974   80138\n",
       "2023-03-22  Pennsylvania    42   3539135   50701\n",
       "2023-03-22      Michigan    26   3068195   42311\n",
       "2023-03-22          Ohio    39   3408238   42017\n",
       "2023-03-22      Illinois    17   4099448   41573\n",
       "2023-03-22       Georgia    13   2984923   41055\n",
       "2023-03-22    New Jersey    34   3056798   36092"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "current_df = df.loc[daybefore].sort_values(by=[\"deaths\", \"cases\"], ascending=False)\n",
    "current_df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "OSNzoid28GEX"
   },
   "source": [
    "*There should be 50 states and District of Columbia*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "Ktah9SqV8I3i",
    "outputId": "2b0bb5eb-1186-405a-fb87-0cf89cffe8e0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Alabama' 'Alaska' 'American Samoa' 'Arizona' 'Arkansas' 'California'\n",
      " 'Colorado' 'Connecticut' 'Delaware' 'District of Columbia' 'Florida'\n",
      " 'Georgia' 'Guam' 'Hawaii' 'Idaho' 'Illinois' 'Indiana' 'Iowa' 'Kansas'\n",
      " 'Kentucky' 'Louisiana' 'Maine' 'Maryland' 'Massachusetts' 'Michigan'\n",
      " 'Minnesota' 'Mississippi' 'Missouri' 'Montana' 'Nebraska' 'Nevada'\n",
      " 'New Hampshire' 'New Jersey' 'New Mexico' 'New York' 'North Carolina'\n",
      " 'North Dakota' 'Northern Mariana Islands' 'Ohio' 'Oklahoma' 'Oregon'\n",
      " 'Pennsylvania' 'Puerto Rico' 'Rhode Island' 'South Carolina'\n",
      " 'South Dakota' 'Tennessee' 'Texas' 'Utah' 'Vermont' 'Virgin Islands'\n",
      " 'Virginia' 'Washington' 'West Virginia' 'Wisconsin' 'Wyoming']\n"
     ]
    }
   ],
   "source": [
    "current_df.shape\n",
    "print(numpy.sort(pd.unique(df['state'])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "i_M6NGQk8_2U"
   },
   "source": [
    "### State Based Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xzGQ9z_oA6V7"
   },
   "source": [
    "*Get 10 states and subset*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 197
    },
    "id": "PeicLkAlA9y4",
    "outputId": "319ec37e-6652-4684-fb48-1aa7245f0469"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['California', 'Texas', 'Florida']"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_ten_states = list(current_df[\"state\"].head(10).values)\n",
    "top_three_states = list(current_df[\"state\"].head(3).values)\n",
    "top_three_states"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "id": "uzv8KJtx9bFO"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\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>state</th>\n",
       "      <th>cases</th>\n",
       "      <th>deaths</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-25</th>\n",
       "      <td>California</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-26</th>\n",
       "      <td>California</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-27</th>\n",
       "      <td>California</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-28</th>\n",
       "      <td>California</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-29</th>\n",
       "      <td>California</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-22</th>\n",
       "      <td>Florida</td>\n",
       "      <td>7542869</td>\n",
       "      <td>87141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-22</th>\n",
       "      <td>Texas</td>\n",
       "      <td>8447168</td>\n",
       "      <td>94515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-23</th>\n",
       "      <td>California</td>\n",
       "      <td>12169158</td>\n",
       "      <td>104277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-23</th>\n",
       "      <td>Florida</td>\n",
       "      <td>7542869</td>\n",
       "      <td>87141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-23</th>\n",
       "      <td>Texas</td>\n",
       "      <td>8447168</td>\n",
       "      <td>94518</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3408 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 state     cases  deaths\n",
       "date                                    \n",
       "2020-01-25  California         1       0\n",
       "2020-01-26  California         2       0\n",
       "2020-01-27  California         2       0\n",
       "2020-01-28  California         2       0\n",
       "2020-01-29  California         2       0\n",
       "...                ...       ...     ...\n",
       "2023-03-22     Florida   7542869   87141\n",
       "2023-03-22       Texas   8447168   94515\n",
       "2023-03-23  California  12169158  104277\n",
       "2023-03-23     Florida   7542869   87141\n",
       "2023-03-23       Texas   8447168   94518\n",
       "\n",
       "[3408 rows x 3 columns]"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_states_df = df[df['state'].isin(top_ten_states)].drop(columns=\"fips\")\n",
    "top_three_states_df = df[df['state'].isin(top_three_states)].drop(columns=\"fips\")\n",
    "top_three_states_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "dkLverBTICn3"
   },
   "source": [
    "*Verify the unique states left is the same 10*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 197
    },
    "id": "l3bJzaxyHnD6",
    "outputId": "5f6d40b2-05e2-41b4-9506-a5431c3498c3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'California',\n",
       " 'Florida',\n",
       " 'Georgia',\n",
       " 'Illinois',\n",
       " 'Michigan',\n",
       " 'New Jersey',\n",
       " 'New York',\n",
       " 'Ohio',\n",
       " 'Pennsylvania',\n",
       " 'Texas'}"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(top_states_df.state.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 2100x700 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 466.375x350 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(21,7))\n",
    "ax = sns.lmplot(x=\"cases\", y=\"deaths\",\n",
    "                    height=3.5,\n",
    "                    hue=\"state\", \n",
    "                    palette=\"Set2\",\n",
    "                    data=top_three_states_df)\n",
    "ax.fig.subplots_adjust(wspace=.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 502
    },
    "id": "9ba-QT229CYE",
    "outputId": "cb08520e-7eba-4cf2-fa0d-7365b30518ff"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1500x500 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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yYO2MgB/Dcs41qlevXsCPAwD+tHfvXm3evNnjcXFxcWrTpk0AMgKAyPbOhsUqdfuNatLI1r8JYDYAELwcjnKZ6c9JZUfdH5RUj4YaEORoqsE/7KXS/r9Jh3Kl8h+rOxsACDmOo54sm+uZmm1uUmJiYsDmB4BAMcZo2bJlXo3t1asX71ADAD9yGKO8g3u1eO9Pbo+xSqoZExOwnAAgGNnLjkjT/izt+9nzwb/17Kk2AFWPpho8YxzS4VXSvr9KJT9KlqOSKZF0zMsJWY4HALx5R5A7optdr7p16wZkbgCoCkuXLvVqXOfOnRUbG+vnbAAgMjmM0YJdmzRrxxodKivxaGzXutkBygoAgpN92pNSfp7X422x3BALBDuaanBPSZG0/QbJnHKHhQevTqtUQm8fJwCA0Lfn23/5ba6Y5oNVp04dv80HANXFbrdr3z7Pn+JNS0tTenp6ADICgMizdv9uvb3+ax11lHk1fnCTzn7OCACCk91eKr1+r1Tm7YMHkjoP8F9CAAKGphpc23yJZPYGZu70cYGZFwCCmDFGpcUFKincreLt3/7viV9v2VSr7VDVqlXLb/kBQDDIzc31eIzValXHjh0DkA0ARI5yh0Pf7MnTp9t+0H5P3gN0inNr1lFcFJedAIQ/e+5UafVXvk/Uvb/vcwAIOL7d4Ow2tQ/c3NFtpKi4wM0PANXs5OZZ6aE9MmVHZC87JkfpIcnLu30lSdE1ldLmesXHx/svWQAIIvn5+SovL/d4XK9evWSz2QKQEQBEhi92rtMnP/2gMuPwaR6bLLq//SV+ygoAgpO97Ij01kNSyRHfJ2vTSzYb76AEQgFNNZxZIBtqskiN3wng/ABQ9Y4ePaoDK/8lqTRgx0jvehcXjAGENWOMvv32W4/HtW7dmqd2AcAHn21fo4+3/eCXuX7f5mJZLRa/zAUAwcg+7Skp/0f/TJaRLdslt/hnLgABR1MNlTu0K7DzN3hTslgDewwAqCKHDh3SoR/+EfDj2GrWo6EGIKyVl5drzpw5Ho9LS0tTo0aNApARAESGl7+fq3VFe/wy16jzLlKL5Ay/zAUAwcivDbWGrWS79j7/zAWgStBUQ+V2XxO4uRu8JdW4IHDzA0AV2rXotSo7Vt02A6vsWABQ1ebNm6cjRzxfOsdisah9+/ay8EQEAHjlseWfquDYIb/M1aPuOWqTmumXuQAgGNnLjvivodaotWyD7vXPXACqDE01nMGxAMyZJjWdwxNqAMJGVTbUajbqJquV+gkgPM2cOdPrsZ07d1ZMDO+fAABv/PGbmSoo8U9DLbtmqm5u0dUvcwFA0Hp1tO9zWKxSj2tku+Ay3+cCUOVoqqFqJFwt1X+8urMAAL/ZtWZelR0rOrmREht0qLLjAUBV8qWhlpKSorS0ND9mAwCRY8zX03XU2H2exyaLrmjYWpc1auOHrAAgeNk/+5skh5ejLVKDZlKrbrK06iarlcvyQKji/3pxupIiP0xik6IbSzUvkVJvk2zcPQwgfOxa9Lak0io5li2+juqeN6BKjgUAVW3Dhg0+je/WrZufMgGAyHLnV9N8niM1Ol5XZrdT57qNFcWKCgDCnN1eKm1Y7N3gBi1lu/5+/yYEoNrQVMPpdo3wfIy1thTXToppcLyRFn8eyzwCCEtVueRjXJ2WSm3+myo7HgBUtS1btng99sILL2RZXADwgj8aalc3aqtLG7b2QzYAECKmPePduB5Xy9aFG2WBcEJTDacr2+pZfHxHqcHbNNEAhL2qaqhF1Wqg2ucNkM1mq5LjAUCoycjIUGJiYnWnAQAhx9eGWpOadXRvu748mQYgotjtpdLe7Z4P7Hkt700DwhBNNVSizP1QS4KU8ScaagDC3q5VqwI2ty02UVEJdRSXmq34us148gJARJg1a5ZX46KiotSxY0c/ZwMA4e9uHxpqUbLod60u1Hm16/sxIwAIER4/pWaR5cLrZO2UE5B0AFQvmmrwTfo4KTqzurMAgMA7vMg/81hsiq6Vrqj4FMXWylAcTTQAEWjmzJlejbNYLPrNb34ji8Xi54wAILy9+N0Xcng5NjkmXrc276YWyRl+zQkAQoFXT6n9fpKsUXGBSQhAtaOpBt/UYk1gAHBXTGJ9pba8TNao2OpOBQCqjbcNNUnq2rWrYmJi/JgNAIS/Y+Xl2lD8i1dje6c30ZCmnWXlZgYAEcjhKJdevtuzQU07y0ZDDQhrNNVQUdkRD4KtEl+sAUQAf7xLLa52E6U06yuLlfekAYhcvjTUmjRpotq1a/sxGwCIDE+u8K729kg7Rzc2u8DP2QBAaLAv/0z66kOPx1n63x6AbAAEE5pqqCj/EfdjLWmBywMAgoQ/GmoJ9doqMbsny5UBiGirV6/2emxSUpKaNWvmx2wAIDKU2u3aW+rJzbPH9Ug7Rzc37xqAjAAg+NlnvCzl/eD5wKadZbVyuR0Id/xfOSo6utD92JThgcsDAIKAPxpqtRp1U83659NQAxDRHA6Htm3b5tVYi8WiDh068P5JAPDCPzYu9njMVVltdXnj1gHIBgCCn/2b2d411MRTakCkoKmGX5Ufkzx5dXHq1QFLBQCq2/4fl/k2gcWq5Ca/UY205v5JCABC2PbtHr7c/STt2rVTQkKCH7MBgMjgMEbL9+3waEz3utk01ABELIejXPr6394N7jWIp9SACMH/peNX24d4EJwg8Q8FgDDlcDh0bPe3Xo+3WKOU0uIyxaU09GNWABC61q1b59W4zMxM1a9f38/ZAEBk2HBgj0fxWTWSNaxFtwBlAwDBz7x0p3cDG7WSrfPl/k0GQNCiK4Ljyo5I5T+5H58wMFCZAEC1y1/+L6/HWqPjldqyv2JqpfsxIwAIXQ6HQw6HB6sh/E98fLzatGnD8rkA4KWX187zKH58Ry4IA4hc9he8fM2NLUa2Qff5NxkAQY2mWqQrKZK2XS1pn2fjUnICkg4AVLfy8nKp/JBXY21xiard6gpFxSf7NykACGHeLv14/vnnKzo62s/ZAEBkeO7bOR7F90tvFqBMACD4ed1Qk2Qb/YYfMwEQCmiqRaqdS6Ujd3k5OE6KZ411AOFp//pZXo2LTqir1FYDZIup4eeMACC0rV+/3uMxTZs2VWpqagCyAYDwVVRSookrZmmv/ZjHY6849/wAZAQAwc+nhtrYv/kxEwChgqZaJNrU3rfxyddLFqtfUgGAYGKMUXnRTo/HxSZnKaX5pbJGxQQgKwAIXXa7XXa73aMxKSkpatq0aYAyAoDwdO9X03VEntXbE2pHxyvGZvNzRgAQ/GioAfBGUHdGnnnmGXXu3Fm1atVSWlqaBg4cqI0bN1aIOXbsmEaOHKnatWurZs2aGjRokPbsqfgy3u3bt6t///6qUaOG0tLS9MADDxxf3usk8+fPV4cOHRQbG6smTZpo6tSpp+Xz2muvqXHjxoqLi1OXLl30zTff+P2cA87XhpqsUp3f+yMTAAg6BT986vGY+LrNlNqyPw01AKjEli1bPIqPiorS+eefL6s1qP9MAYCgcudX07xuqEnS7S16+jEbAAgNNNQAeCuo/1pdsGCBRo4cqaVLlyo3N1dlZWXq16+fDh8+7Iy599579emnn+qDDz7QggULtGvXLl1zzTXO/Xa7Xf3791dpaakWL16sd955R1OnTtWECROcMXl5eerfv78uvvhirVq1SmPGjNHtt9+uzz//3Bkzffp0jR07Vo8//rhWrlypdu3aKScnRwUFBVXzYfjDzqW+z5E6SrLygCOA8GO322Uv3uHRmBr12iq5aV9ZrNzZCwCV2b17t0fxbdq0UY0aLKMLAO6686tpPo2PtdjUOKmOn7IBgNBg3/aD12MtY970YyYAQpHFGGOqOwl37d27V2lpaVqwYIEuvPBCFRYWqm7dupo2bZquvfZaSdKGDRvUsmVLLVmyRF27dtXs2bM1YMAA7dq1S+np6ZKkyZMn66GHHtLevXsVExOjhx56SLNmzdKaNWucxxoyZIgOHjyoOXOOv9y3S5cu6ty5syZNmiRJcjgcysrK0j333KNx48a5lX9RUZGSkpJUWFioxMREf3407vH1KbXoVlK2b1/YAcBXgaqluxa9Icnh/gBLtDK7j/Db8QGgKlXF91JjjGbNcv89lcnJyerZk6clAISO6v4bf/Hq1Xrn4Gqf5hh13kVqk5rpp4wAwHPVUUu9fkqt1yDZOl/u32QAhJygflLtVIWFhZLkfGn5ihUrVFZWpr59+zpjWrRooYYNG2rJkiWSpCVLlqhNmzbOhpok5eTkqKioSGvXrnXGnDzHiZgTc5SWlmrFihUVYqxWq/r27euMCX8xNNQAhK1di96WRw01SWkX3BaYZAAgTBw8eNCj+M6dOwcmEQAIU7421FomZdBQAwB3ZbehoQZAkhQy6/g5HA6NGTNGPXr0UOvWrSVJ+fn5iomJUXJycoXY9PR05efnO2NObqid2H9i39liioqKdPToUR04cEB2u73SmA0bNpwx55KSEpWUlDh/Lyoq8uCM/ezoft/GNwvB98cBCAuBrqW7Fr3m+aDoWoqKCpl/QgGgWr6X7tq1y+3YuLg4xcbGBjAbAPBdMP2Nn19c7NP4KFk0pu1v/JQNALgvmGqp27Jaynb1mOrOAkCQCJkn1UaOHKk1a9bovffeq+5U3PbMM88oKSnJ+ZOVlVV9yfx8g5cDLVKzVf7MBAA8EshaumvpVK/GpXcc6rccAKAqVMf30r1797od26xZswBmAgD+EUx/4z/+3Sc+jX+tl7fXCADAN9VdS+32Us8G1EiS7br7A5MMgJAUEk21UaNGaebMmfryyy/VoEED5/aMjAyVlpaetrTMnj17lJGR4YzZs2fPaftP7DtbTGJiouLj41WnTh3ZbLZKY07MUZmHH35YhYWFzp8dO3Z4duL+5NjjOuZUUV2lZt/5PxcA8ECgamlpaalkP+zxuNg6LWSz2fySAwBUlar+XmqMUbEHT1Gc/B0fAIJVsPyNv22/9yvRZEYn6M1eN/oxGwDwTHXWUoejXHr5dx6Nsd31QoCyARCqgnrtKmOM7rnnHs2YMUPz589XdnZ2hf0dO3ZUdHS05s6dq0GDBkmSNm7cqO3bt6tbt26SpG7duumpp55SQUGB0tLSJEm5ublKTExUq1atnDGfffZZhblzc3Odc8TExKhjx46aO3euBg4cKOn4cpRz587VqFGjzph/bGxscCxjU3bE8zHnLJWi4vyfCwB4KFC19Jflb3sxyqrazfv4PRcACLSq/l7qyfvUYmNjZbWGxL1+ACJcsPyN//TaOV6Ne7HrdaoRHe3nbADAM9VRS41xyPH5P6R1X3k20BITmIQAhLSgbqqNHDlS06ZN08cff6xatWo534GWlJSk+Ph4JSUlafjw4Ro7dqxSU1OVmJioe+65R926dVPXrl0lSf369VOrVq100003aeLEicrPz9f48eM1cuRIZwG/6667NGnSJD344IO67bbbNG/ePL3//vuaNWuWM5exY8dq2LBh6tSpky644AK99NJLOnz4sG699daq/2A8tesBz+Kz5tFQAxC2jDHavfh1r8ZmdLvTz9kAQHjasmWL27HVukQ6AISY/UePejzmoRaX6Jy6dQOQDQAEP7N9vRz//ot3gy8a7N9kAISFoG6qvfHGG5Kkiy66qML2KVOm6JZbbpEkvfjii7JarRo0aJBKSkqUk5Oj11//9WKpzWbTzJkzdffdd6tbt25KSEjQsGHD9Mc//tEZk52drVmzZunee+/Vyy+/rAYNGuivf/2rcnJynDGDBw/W3r17NWHCBOXn56t9+/aaM2eO0tPTA/cB+EvJIs/i41MDkwcAVLOSgzu1b+3HXo2t1agbT1IAgBuMMSooKHA7vmnTpgHMBgDCy8TvPX9KjYYagEjlU0NNkqVdTz9mAyBcWIwxprqTiBRFRUVKSkpSYWGhEhMTq+ag9lJp6wXux9d8QMocGrh8AMBH3tZSXxpq8WmtlNL0Yq/GAkAwCuT30oMHD+rrr792K9Zms+myyy7z6/EBoKpUx9/4d341zaN43p8GINgFqpYa45DjxTu8n6B+C9kGe7j6F4CIENRPqsEP9r3lWXwGjzUDCD/GGK8banGZnZSS3cXPGQFA+Nq4caPbsSfeeQwAcK24tNSj+PtaclMYgMjl+OhN3ya4drR/EgEQdljHKtwVfepBsEWy0mcFEH68fYeaZFMqDTUAcJvD4dDevXvdjm/cuHHgkgGAMPPmhoUexTepnRGgTAAguDkc5VLet95P0LqnbLYY/yUEIKzQVAt3jl/cj00eF7g8AKCa/PKLB3XwFOldfVgqAgAi0K5duzyKT03lXb4A4K79xw67HRstyWqxBC4ZAAhiZo1nNyFUUDNFtn63+i8ZAGGHplo4c5RLsrsfX2dQwFIBgOpSunG6V+Ni67SQzWbzczYAEN42bdrkdmzt2rVl4YIvALgtNS7B7dhRzXsHMBMACHKLPVm56yTRNWQb8Rf/5gIg7NBUC2cHP/EgOJalHwHgBGu0ajfvU91ZAEBIsdvtOnLkiNvxzZo1C2A2ABB+rqzf2u3YZnUzA5gJAAS5I0Wej8lqJds9r/o/FwBhhy5KOPvlBfdjo88LXB4AEGIyu42o7hQAIOR8/fXXbsdaLBaWfgQAD5VaHbJIMi7irm7cjqUfAUQse5n7N3lJkmxR0siXZYuKC0xCAMIOT6qFK3uppGL345MHBCwVAAgZlnhl9hhZ3VkAQMix2+06dOiQ2/GZmZks/QgAHqoZFaeU2Bo6W/WsFR2rlsn1qiwnAAg6n/3No3Db6DdpqAHwCE21cLXnj57FJ10ZmDwAoBqVHd4nWdx/KDuz+20BzAYAwtfq1as9im/btm2AMgGA8JVVM0V142pJZ2irxVuj1SAhRVk1U6o2MQAIJj9vcT82ukbg8gAQtmiqhSPjkIpnux9va8b71ACEJYs1Shabe/Ut+fxbA5wNAIQnY4x27tzpdnxCQoJsNlsAMwKA8GS1WFRiL5M5wwKQpaZcrVIyWPoRQMQyxiEd82DlritZqQaA52iqhaOjqyXZ3Y/PeCRgqQBAdYqKT5Js7i3jULTh0wBnAwDhKS8vz6P4du3aBSgTAAhvi/N/1E/F+8+4326M1h3Il8O4eusaAIQnx88bPYq3NmwWoEwAhDOaauFo5+0eBFulGiy/AyB8mZKDbsU5jv4S2EQAIAwZY7Ru3Tq346Ojo5WSwrJkAOCpnw8f1LtbvnEZt+HgHu0oPlAFGQFAEJoz1f3Y2ARZLFwaB+A5Kkc4sZdKm86XVOb+mPjuEv+AAAAAwAvLly/3KL5Zs2aysCwZAHjkmL1Mb67/WuXG4TLWyKjgyKEqyAoAgosxDqnIg5tl21wUsFwAhDe6KeHi58ekrRdIZ1hb/Yzq/SUg6QAAACC8FRQUqKCgwO14q9Wqxo0bBy4hAAhDxhi9u/kb7Tla5PaYmdt/CGBGABCcHLu3ejagx4DAJAIg7EVVdwLwg02d5dHTaSdEN5Wi3HvXEAAAAHCCMUbffON6GbKTtWjRgqfUAMBDC/O36Ju92zwac6DkaICyAYAgZBXajQAAHolJREFU9t933Y+1RctmiwlcLgDCGk21ULepvfdjG/2f39IAAABA5Jg1a5bHY7KzswOQCQCEr+3F+/X+1hUej4uP4lIPgMjicJRLv+xwf0CHnMAlAyDssfxjKPOloVajr2TlizYAAAA8M3PmTI/HnHPOOTylBgAeOFJe6vZ71E51eWarAGQEAMHL/PVhzwZ07x+YRABEBJpqocqXhpokZf7ZL2kAQPBz9yIuF3sBwBVvGmr6//buPTqq+u73+HdmksmNJAQjCdEQCIgKCyLiIWKltCWWICIP5ymEI7qAhZfHg0tb6o2qXBaoiCx9qI21C4TQVkAsAi31oJaCF54oFUIQiOUWFCwBxUISCAnMfM8flKFDEmbPZc9lz/u11iyYPb/fzvc7m/lkyC97j5y/9CMAwBhVlaV7PpFvzzQGNP97V/cKcUUAEL1c6xeLNH5nfEJaRy79CCAoLKrFomAX1K54hLPUAOBStsRIVwAAUS2YBTW7nf92AIBRf/n6C9l+/HBAc4d07iEJZC6AOOH65I8iuzf7N+mOB80pBkDcYGUl1pw6Ftz81O+LXDEpNLUAQJRzu90iosYG2/jhAwC0p7m5OaB5mZmZ0rNnzxBXAwDWtb/+G3m7dnvA88f1Ghi6YgAgirl+N0vkm6/8m2Sziz2v0JyCAMQNFtVizddBfJBmp5+KZE8MVSUAEPXOfLPH8FhbYoqJlQBAbHv//fcDmnfrrbeGuBIAsK7Gs2fk1V0fitvoL4Vd4qE+PxA7n18JIA64/vu/RNxn/Z84pExs/EItgCCxqBZLWhrF8BkXl+r5GZd8BBB3ztQfMTw2+Qp+Ww0A2tLQ0BDQvIEDB4qNH+4CgCFuVZn+2To5da4loPl9OnaRvp3yQlwVAEQf18InA1tQs9nF3v9HoS8IQNxhaT6WHAzgN30TbhbptZ0FNQBx6dxp4x9WnNH1f5lYCQDErg8++MDvOdnZ2dK5c2cTqgEA6znndsuUj5cHvKCWmZAsD/f9YYirAoDo42ppFGn4JrDJ//EQZ6kBCAlWWmLF6W/9n9P9f0QSU0NfCwDECPdZg58BZE8Uh8NhbjEAEINU/b9KgsPhkJtvvtmEagDAWlpcLvll9QbZeyqA/+//S7I4ZN6g/x3CqgAgiv3qkcDm5XQTR/ei0NYCIG6xqBYrDpf4Nz7hGhbUAMQ9m8GFMkdypsmVAEBsOnz4sN9zhg8fbkIlAGAtr+38SKr+eSiofSSIyILBZaEpCACinGvvZ4FNTEoVx/hnQlsMgLjGolosaGn0f87VS0JfBwDEGJszw9CZvjZnRhiqAYDYU11d7df4W265xaRKAMA6HvhoWdD7sItI+eC7gi8GAGLFn34dwCSbOKa8EvJSAMQ3LiQbC4487OeEdBFnB1NKAYCY4jb4uRRGxwEALqtTp06RLgEAolooFtRERMpv/T8h2Q8AWJlj6qJIlwDAglhUiwXN2/wb32ODOXUAQIxR19mQjgMAtK+4uDjSJQBAVJvz8eqQ7OdnfX8kdpstJPsCAKtyTH090iUAsCgW1aLduTP+jbflizic5tQCADHGHcjlcwEAAbnyyisjXQIARK0z587JIW0Kej8/6/sjua5jbggqAoDY4Wr6zr8J9z9rTiEAIHymWvSrHePf+O5vmVMHAMQYt9stevaUobH2hGSTqwEAAEA8W1LzP0HNz3GmycyBd3KGGoD49Pvn/Rru6MAvHwAwD4tq0ezrWSJ6yI8JNhF+MAwAIiJy5ps9hsfaEzjDFwAAAObZfuJwwHP/o2tfGV7QN4TVAECMafin8bG2RPPqAABhUS161c0ROeXn9dY7TDKnFgCIQS0NdYbHJnbobGIlAAAAiGcrdwZ+llr598ZJgp1P7gAQ79T40NGPmFcGAAiLatHJ1SJS/wf/5+X8V+hrAYAY5XadNTw2KbOLiZUAAAAgXp1zu2XDPw/6Pe+6Dtnys/4/Dn1BAGBx9oJrI10CAItjUS0a/WO+/3NsOSIOLl8GABe43W5jA+1OcXKmGgAAAEzw/w7s9HvOgkFjJTmBH9cAQCBsNs7uBWAuUiYaNa30f043Py8VCQAW5z572tA4e1K62PjAdwBoRdX4ZXbIUQBo27oj/i2qjex0DQtqAHApu8FcNDoOAILAolq0aWn0f44tWyQxNfS1AEAMU1eLoXH8IBgA2nb8+HHDY51OrpgAAKFQev2ASJcAANHH6NlnnKUGIAxIGj+Vl5dLt27dJDk5WYqLi2XLli2h/QJf/1//5xS+E9oaAMACXE0nDY3z50wMAIgnO3caP7siKyvLxEoAID4Mye4hCXZ+TAMAABDNeLfmhzfffFOmTp0qM2bMkG3btklRUZEMGzZMjh07FrovcnaHf+MzfsJnqQHAJVwul4ieNTTWToYCQJtOnzZ2GV0Rke7du5tYCQDEh7uuL450CQA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      "text/plain": [
       "<Figure size 1750x700 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(15,5))\n",
    "ax = sns.lmplot(x=\"cases\", y=\"deaths\",\n",
    "                    height=3.5,\n",
    "                    col=\"state\",\n",
    "                    col_wrap=5,\n",
    "                    hue=\"state\", \n",
    "                    palette=\"Set2\",\n",
    "                    data=top_states_df)\n",
    "ax.fig.subplots_adjust(wspace=.2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "in-JRg0lOCrp"
   },
   "source": [
    "*Interactive plot of top states*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 233
    },
    "id": "Vf7j4jUBaKMS",
    "outputId": "1ac26832-4bfe-4f23-cd50-be1d8d873f50"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\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>state</th>\n",
       "      <th>cases</th>\n",
       "      <th>deaths</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-03-23</th>\n",
       "      <td>California</td>\n",
       "      <td>12169158</td>\n",
       "      <td>104277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-22</th>\n",
       "      <td>California</td>\n",
       "      <td>12155467</td>\n",
       "      <td>104196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-21</th>\n",
       "      <td>California</td>\n",
       "      <td>12154941</td>\n",
       "      <td>104185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-20</th>\n",
       "      <td>California</td>\n",
       "      <td>12154293</td>\n",
       "      <td>104165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-03-19</th>\n",
       "      <td>California</td>\n",
       "      <td>12153083</td>\n",
       "      <td>104130</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 state     cases  deaths\n",
       "date                                    \n",
       "2023-03-23  California  12169158  104277\n",
       "2023-03-22  California  12155467  104196\n",
       "2023-03-21  California  12154941  104185\n",
       "2023-03-20  California  12154293  104165\n",
       "2023-03-19  California  12153083  104130"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_states_march_current_df = top_states_df.loc[\"2020-03-08\":today].sort_values(by=[\"deaths\", \"cases\"], ascending=False)\n",
    "top_states_march_current_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "rN0jv8_3mD-z"
   },
   "source": [
    "### Search for Features:  Political, Health and Finance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4VLRtEYvBtoR"
   },
   "source": [
    "*Sugar Intake By State*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 202
    },
    "id": "nnLcHUUUBwzD",
    "outputId": "0351e944-96b5-4ac5-cd76-81fb2752fbdb"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\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>state</th>\n",
       "      <th>employed-sugar-intake-daily</th>\n",
       "      <th>Not employed</th>\n",
       "      <th>Retired</th>\n",
       "      <th>&lt;High school</th>\n",
       "      <th>High school</th>\n",
       "      <th>Some college</th>\n",
       "      <th>College graduate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alaska</td>\n",
       "      <td>26.2</td>\n",
       "      <td>32.1</td>\n",
       "      <td>16.0</td>\n",
       "      <td>47.1</td>\n",
       "      <td>34.9</td>\n",
       "      <td>24.2</td>\n",
       "      <td>12.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Arizona</td>\n",
       "      <td>33.0</td>\n",
       "      <td>28.7</td>\n",
       "      <td>13.8</td>\n",
       "      <td>40.4</td>\n",
       "      <td>36.5</td>\n",
       "      <td>24.4</td>\n",
       "      <td>14.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>California</td>\n",
       "      <td>22.9</td>\n",
       "      <td>30.2</td>\n",
       "      <td>15.0</td>\n",
       "      <td>38.5</td>\n",
       "      <td>29.9</td>\n",
       "      <td>21.4</td>\n",
       "      <td>11.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Connecticut</td>\n",
       "      <td>18.9</td>\n",
       "      <td>24.3</td>\n",
       "      <td>15.0</td>\n",
       "      <td>27.8</td>\n",
       "      <td>26.9</td>\n",
       "      <td>19.9</td>\n",
       "      <td>10.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>18.5</td>\n",
       "      <td>34.6</td>\n",
       "      <td>18.5</td>\n",
       "      <td>45.6</td>\n",
       "      <td>39.0</td>\n",
       "      <td>28.9</td>\n",
       "      <td>8.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  state  employed-sugar-intake-daily  Not employed  Retired   \n",
       "0                Alaska                         26.2          32.1     16.0  \\\n",
       "1               Arizona                         33.0          28.7     13.8   \n",
       "2            California                         22.9          30.2     15.0   \n",
       "3           Connecticut                         18.9          24.3     15.0   \n",
       "4  District of Columbia                         18.5          34.6     18.5   \n",
       "\n",
       "   <High school  High school  Some college  College graduate  \n",
       "0          47.1         34.9          24.2              12.9  \n",
       "1          40.4         36.5          24.4              14.6  \n",
       "2          38.5         29.9          21.4              11.5  \n",
       "3          27.8         26.9          19.9              10.2  \n",
       "4          45.6         39.0          28.9               8.4  "
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cdc_2013 = pd.read_csv(\"education_sugar_cdc_2003.csv\")\n",
    "cdc_2013.to_csv(\"education_sugar_cdc_2003.csv\", index=False)\n",
    "cdc_2013.set_index(\"State\", inplace=True)\n",
    "for column in cdc_2013.columns:\n",
    "  # I think this was the idea: add regex=True\n",
    "  cdc_2013[column]=cdc_2013[column].str.replace(r\"\\(.*\\)\",\"\", regex=True)\n",
    "  cdc_2013[column]=pd.to_numeric(cdc_2013[column])\n",
    "\n",
    "cdc_2013.reset_index(inplace=True)\n",
    "cdc_2013.rename(columns={\"State\": \"state\", \"Employed\": \"employed-sugar-intake-daily\"},inplace=True)\n",
    "cdc_2013.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "BT7YQzUcCRSn"
   },
   "source": [
    "*Combine Sugar Data and Covid-19 Data*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 202
    },
    "id": "mxZ76ZI8EDQ2",
    "outputId": "0f04c9ce-bae4-43eb-c1a6-b3aef97e4bd1"
   },
   "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",
       "\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>state</th>\n",
       "      <th>fips</th>\n",
       "      <th>cases</th>\n",
       "      <th>deaths</th>\n",
       "      <th>employed-sugar-intake-daily</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>California</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>22.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>California</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>22.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>California</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>22.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>California</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>22.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>California</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>22.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        state  fips  cases  deaths  employed-sugar-intake-daily\n",
       "0  California     6      1       0                         22.9\n",
       "1  California     6      2       0                         22.9\n",
       "2  California     6      2       0                         22.9\n",
       "3  California     6      2       0                         22.9\n",
       "4  California     6      2       0                         22.9"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cdc_employed_df = cdc_2013[[\"employed-sugar-intake-daily\", \"state\"]]\n",
    "sugar_covid_df = df.merge(cdc_employed_df, how=\"inner\", on=\"state\")\n",
    "sugar_covid_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9syyMOxhTHMo"
   },
   "source": [
    "*What about data from the 2016 Election?*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 202
    },
    "id": "2RZa-tDmTPXP",
    "outputId": "e06bc642-feb3-480b-a3b4-0704e2ae8b03"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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>state</th>\n",
       "      <th>Winning Party</th>\n",
       "      <th>Democrats</th>\n",
       "      <th>Republicans</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alaska</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Arizona</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>California</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        state Winning Party  Democrats  Republicans\n",
       "0     Alabama   Republicans      False         True\n",
       "1      Alaska   Republicans      False         True\n",
       "2     Arizona   Republicans      False         True\n",
       "3    Arkansas   Republicans      False         True\n",
       "4  California     Democrats       True        False"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "election_df = pd.read_csv(\"2016-Electoral-Votes.csv\")\n",
    "#election_df.to_csv(\"2016-Electoral-Votes.csv\", index=False)\n",
    "election_df.rename(columns={\"State\": \"state\"},inplace=True)\n",
    "election_df.drop(columns=\"Votes\", inplace=True)\n",
    "election_df = pd.concat([election_df, pd.get_dummies(election_df[\"Winning Party\"])], axis=1);\n",
    "election_df.head()\n",
    "#election_df[\"Republican?\"] = pd.get_dummies(election_df, columns=[\"Winning Party\"])\n",
    "#election_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 202
    },
    "id": "c6CuViW_V2Hx",
    "outputId": "76ec7320-9f60-495c-9f7a-cce61c8e2d59"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "        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>state</th>\n",
       "      <th>Winning Party</th>\n",
       "      <th>Democrats</th>\n",
       "      <th>Republicans</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alaska</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Arizona</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>California</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Colorado</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Connecticut</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Delaware</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Florida</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Georgia</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Hawaii</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Idaho</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Illinois</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Indiana</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Iowa</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Kansas</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Kentucky</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Lousiana</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Maine</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Maine</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Maryland</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Massachusetts</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Michigan</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Mississippi</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Minnesota</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Missouri</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Montana</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Nebraska</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Nevada</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>New Hampshire</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>New Jersey</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>New Mexico</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>New York</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>North Carolina</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>North Dakota</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Ohio</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Oklahoma</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Oregon</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>South Carolina</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>South Dakota</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Tennessee</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Texas</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Utah</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Vermont</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Virginia</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Washington</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>Democrats</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>West Virginia</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Republicans</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   state Winning Party  Democrats  Republicans\n",
       "0                Alabama   Republicans      False         True\n",
       "1                 Alaska   Republicans      False         True\n",
       "2                Arizona   Republicans      False         True\n",
       "3               Arkansas   Republicans      False         True\n",
       "4             California     Democrats       True        False\n",
       "5               Colorado     Democrats       True        False\n",
       "6            Connecticut     Democrats       True        False\n",
       "7               Delaware     Democrats       True        False\n",
       "8                Florida   Republicans      False         True\n",
       "9                Georgia   Republicans      False         True\n",
       "10                Hawaii     Democrats       True        False\n",
       "11                 Idaho   Republicans      False         True\n",
       "12              Illinois     Democrats       True        False\n",
       "13               Indiana   Republicans      False         True\n",
       "14                  Iowa   Republicans      False         True\n",
       "15                Kansas   Republicans      False         True\n",
       "16              Kentucky   Republicans      False         True\n",
       "17              Lousiana   Republicans      False         True\n",
       "18                 Maine     Democrats       True        False\n",
       "19                 Maine   Republicans      False         True\n",
       "20              Maryland     Democrats       True        False\n",
       "21         Massachusetts     Democrats       True        False\n",
       "22              Michigan   Republicans      False         True\n",
       "23           Mississippi   Republicans      False         True\n",
       "24             Minnesota     Democrats       True        False\n",
       "25              Missouri   Republicans      False         True\n",
       "26               Montana   Republicans      False         True\n",
       "27              Nebraska   Republicans      False         True\n",
       "28                Nevada     Democrats       True        False\n",
       "29         New Hampshire     Democrats       True        False\n",
       "30            New Jersey     Democrats       True        False\n",
       "31            New Mexico     Democrats       True        False\n",
       "32              New York     Democrats       True        False\n",
       "33        North Carolina   Republicans      False         True\n",
       "34          North Dakota   Republicans      False         True\n",
       "35                  Ohio   Republicans      False         True\n",
       "36              Oklahoma   Republicans      False         True\n",
       "37                Oregon     Democrats       True        False\n",
       "38          Pennsylvania   Republicans      False         True\n",
       "39          Rhode Island     Democrats       True        False\n",
       "40        South Carolina   Republicans      False         True\n",
       "41          South Dakota   Republicans      False         True\n",
       "42             Tennessee   Republicans      False         True\n",
       "43                 Texas   Republicans      False         True\n",
       "44                  Utah   Republicans      False         True\n",
       "45               Vermont     Democrats       True        False\n",
       "46              Virginia     Democrats       True        False\n",
       "47            Washington     Democrats       True        False\n",
       "48  District of Columbia     Democrats       True        False\n",
       "49         West Virginia   Republicans      False         True\n",
       "50             Wisconsin   Republicans      False         True\n",
       "51               Wyoming   Republicans      False         True"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sc_df = sugar_covid_df.merge(election_df, how=\"inner\", on=\"state\")\n",
    "# need to drop the state column, not sure why\n",
    "sc_df = sc_df.iloc[:,list(range(1,len(df. columns)))]\n",
    "election_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "RmBJqPnXE5wR"
   },
   "source": [
    "*Generate Heatmap*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 233
    },
    "id": "cee_tCSBGdEM",
    "outputId": "f74e0e33-66cb-4051-c208-699aa539517b"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\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>fips</th>\n",
       "      <th>cases</th>\n",
       "      <th>deaths</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>fips</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.120943</td>\n",
       "      <td>-0.127549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cases</th>\n",
       "      <td>-0.120943</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.935557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>deaths</th>\n",
       "      <td>-0.127549</td>\n",
       "      <td>0.935557</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            fips     cases    deaths\n",
       "fips    1.000000 -0.120943 -0.127549\n",
       "cases  -0.120943  1.000000  0.935557\n",
       "deaths -0.127549  0.935557  1.000000"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sc_df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AAFuhMgAAgIVxMUwAAICtMUwAAABshcoAAAAWhtkEAADYG8MEAADAVqgMAABgwWwCAABszphAR1C3SAYAALCwW2WAngEAAGyOygAAABZ2qwyQDAAAYGG3ngGGCQAAsDkqAwAAWDBMAACAzdltOWKGCQAAsDkqAwAAWNjt2QQkAwAAWLgYJvBeWVmZ3n33XW3bts0flwMAAHXIp2Tgjjvu0Ny5cyVJx48fV2Jiou644w517dpVb7/9tl8DBACgrhnj8NtWH/iUDHz66afq06ePJGnFihUyxujQoUN68cUXNW3aNL8GCABAXTMuh9+2+sCnZODw4cNq1qyZJCk7O1u33nqrIiMjNWDAAP3zn//0a4AAANQ1Y/y31Qc+JQPx8fHKy8tTeXm5srOzdd1110mSfvzxR4WHh/s1QAAAULt8mk0watQo3X333YqKilLr1q119dVXSzo5fNClSxd/xgcAQJ2rL+V9f/EpGXj44YfVs2dPffvtt7r22msVEnKywNCuXTt6BgAA9Z7dphb6vM5AYmKiunbtqt27d6t9+/Zq0KCBBgwY4M/YAABAHfCpZ+DYsWMaNmyYIiMjdckll6ioqEiS9Oijj+rZZ5/1a4AAANQ1phbWQGZmprZs2aLc3FyPhsGUlBQtWbLEb8EBABAIdptN4NMwwbvvvqslS5aoV69ecjj+nfVccskl2rlzp9+CAwAAtc+nZKC0tFQtWrSotr+8vNwjOQAAoD6yWwOhT8MEiYmJWrlypfv1zwnAK6+8ouTkZP9EBgBAgNitZ8CnysD06dN1ww036Ouvv9aJEyc0Z84cff3111q/fr3Wrl3r7xgBAEAt8qky8B//8R8qKCjQiRMn1KVLF3300Udq0aKF8vLy1KNHD3/HCABAnaKBsIbat2+vhQsX+nRuRUWFKioqPPYZY+g3AAAEBXoGaiA/P19bt251v37vvfc0ePBgPfXUU6qsrPzV87OystSkSROPzeU64ksoAAD4nd16BnxKBh588EEVFhZKknbt2qXU1FRFRkZq2bJlGjNmzK+en5mZqcOHD3tsISGNfQkFAACcJZ+SgcLCQnXv3l2StGzZMvXt21eLFy/WokWL9Pbbb//q+U6nU9HR0R4bQwQAgGDhMg6/bfWBTz0Dxhi5XC5J0po1azRw4EBJJx9tfPDgQf9FBwBAANSTvj+/8XmdgWnTpunPf/6z1q5d635A0e7duxUTE+PXAAEAQO3yqTIwe/Zs3X333Xr33Xc1fvx4XXTRRZKk5cuXq3fv3n4NEACAulZfyvv+4lMy0LVrV4/ZBD+bMWOGQkNDzzooAAACqb7MAvAXn9cZOJVfPsEQAADUDz4lA1VVVXrhhRe0dOlSFRUVVVtb4IcffvBLcAAABIIr0AHUMZ8aCJ9++mnNmjVLqampOnz4sDIyMnTLLbcoJCREU6ZM8XOIAADULSOH3zZvzZs3TwkJCQoPD1dSUpI2btxYo/PeeustORwODR482Ot7+pQM/OUvf9HChQv1+OOPq0GDBhoyZIheeeUVTZo0SZ999pkvlwQAwPaWLFmijIwMTZ48Wfn5+erWrZv69++vAwcOnPG8PXv26IknnlCfPn18uq9PyUBxcbG6dOkiSYqKitLhw4clSQMHDvR4tDEAAPWRy/hvq6ioUFlZmcdmfT7Pz2bNmqXhw4crPT1dnTt31oIFCxQZGanXXnvttLFWVVXp7rvv1tNPP6127dr59Hl9SgYuvPBC7d+/X9LJBxZ99NFHkqTPP/9cTqfTp0AAAAgWLjn8tp3qeTxZWVnV7llZWalNmzYpJSXFvS8kJEQpKSnKy8s7bax/+MMf1KJFCw0bNsznz+tTA+HNN9+snJwcJSUl6dFHH9U999yjV199VUVFRRo9erTPwQAAEAx8Ges/nczMTGVkZHjsO9U/nA8ePKiqqqpqi/fFxMTom2++OeW1//73v+vVV19VQUHBWcXoUzLw7LPPun+dmpqqNm3aaP369erQoYMGDRp0VgEBAHAucTqdtVI1P3LkiO69914tXLhQzZs3P6tr+TRMkJWV5TF+0atXL2VkZKi0tFTPPffcWQUEAECgufy41VTz5s0VGhqqkpISj/0lJSVq2bJlteN37typPXv2aNCgQWrQoIEaNGigP/3pT3r//ffVoEED7dy5s8b39ikZ+O///m916tSp2v5LLrlECxYs8OWSAAAEjUBMLQwLC1OPHj2Uk5Pj3udyuZSTk6Pk5ORqx3fq1Elbt25VQUGBe/vd736nfv36qaCgQPHx8TW+t0/DBMXFxYqNja22/4ILLnA3FgIAAO9kZGRo6NChSkxMVM+ePTV79myVl5crPT1dkpSWlqa4uDhlZWUpPDxcl156qcf55513niRV2/9rfEoG4uPjtW7dOrVt29Zj/7p169SqVStfLgkAQNAI1AqEqampKi0t1aRJk1RcXKzu3bsrOzvb3VRYVFSkkBCfivpn5FMyMHz4cI0aNUo//fSTfvvb30qScnJyNGbMGD3++ON+DRAAgLoWyOWIR4wYoREjRpzyvdzc3DOeu2jRIp/u6VMy8OSTT+r777/Xww8/7H4uQXh4uMaOHavMzEyfAgEAAIHhMMYYX08+evSotm3bpoiICHXo0OGspk40DIvz+Vyce47962+BDgFBxFW6N9AhIMg4L+5Xq9dfGTPEb9caUPKm365VW87qEcZRUVG64oor/BULAABBweW/NYfqBf93IQAAgHrlrCoDAACci1x+XI64PiAZAADAwudmunqKZAAAAItATi0MBHoGAACwOSoDAABYuBz0DAAAYGt26xlgmAAAAJujMgAAgIXdGghJBgAAsGAFQgAAYCtUBgAAsGAFQgAAbI7ZBAAAwFaoDAAAYGG3BkKSAQAALJhaCACAzdEzAAAAbIXKAAAAFvQMAABgc3brGWCYAAAAm6MyAACAhd0qAyQDAABYGJv1DDBMAACAzVEZAADAgmECAABszm7JAMMEAADYHJUBAAAs7LYcMckAAAAWrEAIAIDN0TMAAABshcoAAAAWdqsMkAwAAGBhtwZChgkAALA5KgMAAFgwmwAAAJuzW88AwwQAANgclQEAACzs1kBIMgAAgIXLZulA0CQD9vrfjl/jKt0b6BAQREIuaBPoEIBzWtAkAwAABAu7NRCSDAAAYGG3ajXJAAAAFnarDDC1EAAAm6MyAACABSsQAgBgc3abWsgwAQAANkdlAAAAC3vVBUgGAACohtkEAADAVqgMAABgQQMhAAA2Z/y4eWvevHlKSEhQeHi4kpKStHHjxtMeu3DhQvXp00dNmzZV06ZNlZKScsbjT4dkAACAILFkyRJlZGRo8uTJys/PV7du3dS/f38dOHDglMfn5uZqyJAh+uSTT5SXl6f4+Hhdd9112rdvn1f3dRhjgqIW0iAsLtAhIIiUb3kj0CEgiPDUQlg1bN6uVq//RMIQv13rj3verPGxSUlJuuKKKzR37lxJksvlUnx8vB599FGNGzfuV8+vqqpS06ZNNXfuXKWlpdX4vvQMAABg4c+egYqKClVUVHjsczqdcjqdHvsqKyu1adMmZWZmuveFhIQoJSVFeXl5NbrXsWPH9NNPP6lZs2ZexcgwAQAAFv7sGcjKylKTJk08tqysrGr3PHjwoKqqqhQTE+OxPyYmRsXFxTWKe+zYsWrVqpVSUlK8+rxUBgAAqEWZmZnKyMjw2GetCvjDs88+q7feeku5ubkKDw/36lySAQAALPy56NCphgROpXnz5goNDVVJSYnH/pKSErVs2fKM5/7xj3/Us88+qzVr1qhr165ex8gwAQAAFsaP/9VUWFiYevTooZycHPc+l8ulnJwcJScnn/a8559/XlOnTlV2drYSExN9+rxUBgAACBIZGRkaOnSoEhMT1bNnT82ePVvl5eVKT0+XJKWlpSkuLs7dc/Dcc89p0qRJWrx4sRISEty9BVFRUYqKiqrxfUkGAACwCNSzCVJTU1VaWqpJkyapuLhY3bt3V3Z2trupsKioSCEh/y7qv/TSS6qsrNRtt93mcZ3JkydrypQpNb4v6wwgKLHOAH6JdQZgVdvrDDyccIffrjV/z1K/Xau20DMAAIDNMUwAAIBFUJTM6xDJAAAAFjy1EAAA2AqVAQAALAI1myBQSAYAALDwZrGgcwHJAAAAFnarDNAzAACAzVEZAADAgmECAABsjmECAABgK1QGAACwcAXHY3vqDMkAAAAW9koFGCYAAMD2qAwAAGBht2cTkAwAAGBht6mFDBMAAGBzVAYAALBgnYEayM/P19atW92v33vvPQ0ePFhPPfWUKisr/RYcAACB4JLx21Yf+JQMPPjggyosLJQk7dq1S3feeaciIyO1bNkyjRkzxq8BAgBQ14wf/6sPfEoGCgsL1b17d0nSsmXLdNVVV2nx4sVatGiR3n77bX/GBwAAaplPPQPGGLlcJ0dU1qxZo4EDB0qS4uPjdfDgQf9FBwBAANitZ8CnZCAxMVHTpk1TSkqK1q5dq5deekmStHv3bsXExPg1QAAA6pqx2XLEPg0TzJ49W/n5+RoxYoTGjx+viy66SJK0fPly9e7d268BAgCA2uVTZaBr164eswl+NmPGDIWGhp51UAAABFJ9mQXgL2e1zkBlZaUOHDjg7h/4WevWrc8qKAAAAomegRooLCzUsGHDtH79eo/9xhg5HA5VVVX5JTgAAFD7fEoG0tPT1aBBA33wwQeKjY2Vw+Hwd1wAAARMfVkfwF98SgYKCgq0adMmderUyd/xAAAQcHbrGfBpNkHnzp1ZTwAAgHNEjZOBsrIy9/bcc89pzJgxys3N1ffff+/xXllZWW3GCwBArTPG+G2rD2o8THDeeed59AYYY3TNNdd4HEMDIQDgXMBsgtP45JNPajMOAACCBg2Ep9G3b1/3r4uKihQfH19tFoExRt9++63/ogMAALXOpwbCtm3bqrS0tNr+H374QW3btj3roAAACCSXjN+2+sDnpxaeam2Bo0ePKjw8/KyDAgAgkOpL45+/eJUMZGRkSJIcDocmTpyoyMhI93tVVVXasGGDunfv7tcAAQBA7fIqGdi8ebOkkxnT1q1bFRYW5n4vLCxM3bp10xNPPOHfCAEAqGP1pbzvL14lAz/PKEhPT9ecOXMUHR3t000rKipUUVHhse90Qw8AANQ1u80m8KmB8PXXX/c5EZCkrKwsNWnSxGMzriM+Xw8AAPjOYXzskvjiiy+0dOlSFRUVqbKy0uO9d95554znnqoy0PT8TlQG4Fa+5Y1Ah4AgEnJBm0CHgCDTsHm7Wr3+VXHX/PpBNfTpvhy/Xau2+FQZeOutt9S7d29t27ZNK1as0E8//aSvvvpKH3/8sZo0afKr5zudTkVHR3tsJAIAgGBh/LjVBz4lA9OnT9cLL7ygv/71rwoLC9OcOXP0zTff6I477lDr1q39HSMAAKhFPiUDO3fu1IABAySdnEVQXl4uh8Oh0aNH6+WXX/ZrgAAA1DW7LTrkUzLQtGlTHTlysuEvLi5O//jHPyRJhw4d0rFjx/wXHQAAAWC3ZMCnFQivuuoqrV69Wl26dNHtt9+ukSNH6uOPP9bq1aurPckQAID6hhUIa2Du3Ln6v//7P0nS+PHj1bBhQ61fv1633nqrJkyY4NcAAQBA7fIpGWjWrJn71yEhIRo3bpzfAgIAINDqS3nfX3zqGZBONhFOmDBBQ4YM0YEDByRJ//u//6uvvvrKb8EBABAIxo//1Qc+JQNr165Vly5dtGHDBr3zzjs6evSoJGnLli2aPHmyXwMEAAC1y6dkYNy4cZo2bZpWr17t8bCi3/72t/rss8/8FhwAAIFgjPHbVh/41DOwdetWLV68uNr+Fi1a6ODBg2cdFAAAgUTPQA2cd9552r9/f7X9mzdvVlxc3FkHBQAA6o5PycCdd96psWPHqri4WA6HQy6XS+vWrdMTTzyhtLQ0f8cIAECdstswgc/PJujUqZPi4+N19OhRde7cWX369FHv3r1ZZwAAUO/ZbQVCn5KBsLAwLVy4ULt27dIHH3ygN954Q9u3b9ef//xnhYaG+jtGAABsY968eUpISFB4eLiSkpK0cePGMx6/bNkyderUSeHh4erSpYtWrVrl9T1r3ECYkZFxxvd/OYtg1qxZXgcCAECwCNT6AEuWLFFGRoYWLFigpKQkzZ49W/3799f27dvVokWLasevX79eQ4YMUVZWlgYOHKjFixdr8ODBys/P16WXXlrj+zpMDQc0+vXr5/E6Pz9fJ06c0G9+8xtJUmFhoUJDQ9WjRw99/PHHNQ7gZw3CaDzEv5VveSPQISCIhFzQJtAhIMg0bN6uVq9/aUwvv11rU9FaVVRUeOxzOp1yOp3Vjk1KStIVV1yhuXPnSpJcLpfi4+P16KOPnnK139TUVJWXl+uDDz5w7+vVq5e6d++uBQsW1DjGGg8TfPLJJ+5t0KBB6tu3r7777jvl5+crPz9f3377rfr16+d+tDEAAPWVP1cgzMrKUpMmTTy2rKysavesrKzUpk2blJKS4t4XEhKilJQU5eXlnTLOvLw8j+MlqX///qc9/nR8Wmdg5syZ+uijj9S0aVP3vqZNm2ratGm67rrr9Pjjj/tyWQAAzjmZmZnVhtpPVRU4ePCgqqqqFBMT47E/JiZG33zzzSmvXVxcfMrji4uLvYrRp2SgrKxMpaWl1faXlpbqyJEjvlwSAICg4fLjlMDTDQkEE59mE9x8881KT0/XO++8o++++07fffed3n77bQ0bNky33HKLv2MEAKBOBeJBRc2bN1doaKhKSko89peUlKhly5anPKdly5ZeHX86PiUDCxYs0A033KC77rpLbdq0UZs2bXTXXXfp+uuv1/z58325JAAAthYWFqYePXooJyfHvc/lciknJ0fJycmnPCc5OdnjeElavXr1aY8/HZ+GCSIjIzV//nzNmDFDO3fulCS1b99ejRo18uVyAAAEFX8OE3gjIyNDQ4cOVWJionr27KnZs2ervLxc6enpkqS0tDTFxcW5GxBHjhypvn37aubMmRowYIDeeustffHFF3r55Ze9uq9PycDPGjVqpK5du57NJQAACDqBWmcgNTVVpaWlmjRpkoqLi9W9e3dlZ2e7mwSLiooUEvLvon7v3r21ePFiTZgwQU899ZQ6dOigd99916s1BiQv1hmobawzgF9inQH8EusMwKq21xnocEEPv13rn6Wb/Hat2nJWlQEAAM5FgRomCBSSAQAALAI1TBAoPs0mAAAA5w4qAwAAWBjjCnQIdYpkAAAAC5fNhglIBgAAsAiSiXZ1hp4BAABsjsoAAAAWDBMAAGBzDBMAAABboTIAAIAFKxACAGBzrEAIAABshcoAAAAWdmsgJBkAAMDCblMLGSYAAMDmqAwAAGDBMAEAADbH1EIAAGzObpUBegYAALA5KgMAAFjYbTYByQAAABYMEwAAAFuhMgAAgAWzCQAAsDkeVAQAAGyFygAAABYMEwAAYHPMJgAAALZCZQAAAAu7NRCSDAAAYGG3YQKSAQAALOyWDNAzAACAzVEZAADAwl51Aclh7FYLCWIVFRXKyspSZmamnE5noMNBgPF9wC/xfUBtIhkIImVlZWrSpIkOHz6s6OjoQIeDAOP7gF/i+4DaRM8AAAA2RzIAAIDNkQwAAGBzJANBxOl0avLkyTQHQRLfB3ji+4DaRAMhAAA2R2UAAACbIxkAAMDmSAYAALA5kgEAAGyOZKAOGGP0wAMPqFmzZnI4HDrvvPM0atSoQIcFoA5dffXVtf7nPjc3Vw6HQ4cOHarV++Dcw4OK6kB2drYWLVqk3NxctWvXTiEhIYqIiAh0WADqsauvvlrdu3fX7NmzAx0KzgEkA3Vg586dio2NVe/evQMdCgAA1TBMUMvuu+8+PfrooyoqKpLD4VBCQkK1cmFCQoKmTp2qIUOGqFGjRoqLi9O8efPc7xtjNGXKFLVu3VpOp1OtWrXSY489FoBPg5pyuVx6/vnnddFFF8npdKp169Z65plnJEljx45Vx44dFRkZqXbt2mnixIn66aef3Odu2bJF/fr1U+PGjRUdHa0ePXroiy++cL//97//XX369FFERITi4+P12GOPqby83P3+/Pnz1aFDB4WHhysmJka33XZb3X1wSJLKy8uVlpamqKgoxcbGaubMmR7vV1RU6IknnlBcXJwaNWqkpKQk5ebmut///vvvNWTIEMXFxSkyMlJdunTRm2++6X7/vvvu09q1azVnzhw5HA45HA7t2bPH/f6mTZuUmJioyMhI9e7dW9u3b3e/92vfL9iUQa06dOiQ+cMf/mAuvPBCs3//fnPgwAHTt29fM3LkSPcxbdq0MY0bNzZZWVlm+/bt5sUXXzShoaHmo48+MsYYs2zZMhMdHW1WrVpl9u7dazZs2GBefvnlAH0i1MSYMWNM06ZNzaJFi8yOHTvM3/72N7Nw4UJjjDFTp04169atM7t37zbvv/++iYmJMc8995z73EsuucTcc889Ztu2baawsNAsXbrUFBQUGGOM2bFjh2nUqJF54YUXTGFhoVm3bp257LLLzH333WeMMebzzz83oaGhZvHixWbPnj0mPz/fzJkzp+7/B9jcQw89ZFq3bm3WrFljvvzySzNw4EDTuHFj95/7+++/3/Tu3dt8+umnZseOHWbGjBnG6XSawsJCY4wx3333nZkxY4bZvHmz2blzp/vvhA0bNhhjTv69kpycbIYPH272799v9u/fb06cOGE++eQTI8kkJSWZ3Nxc89VXX5k+ffqY3r17u2M70/cL9kUyUAdeeOEF06ZNG/frUyUD119/vcc5qamp5oYbbjDGGDNz5kzTsWNHU1lZWRfh4iyVlZUZp9Pp/uH/a2bMmGF69Ojhft24cWOzaNGiUx47bNgw88ADD3js+9vf/mZCQkLM8ePHzdtvv22io6NNWVmZ7x8AZ+XIkSMmLCzMLF261L3v+++/NxEREWbkyJFm7969JjQ01Ozbt8/jvGuuucZkZmae9roDBgwwjz/+uPu19e8RY4w7GVizZo1738qVK40kc/z4cWPMmb9fsC+GCYJEcnJytdfbtm2TJN1+++06fvy42rVrp+HDh2vFihU6ceJEIMJEDWzbtk0VFRW65pprTvn+kiVLdOWVV6ply5aKiorShAkTVFRU5H4/IyND999/v1JSUvTss89q586d7ve2bNmiRYsWKSoqyr31799fLpdLu3fv1rXXXqs2bdqoXbt2uvfee/WXv/xFx44dq/XPjH/buXOnKisrlZSU5N7XrFkz/eY3v5Ekbd26VVVVVerYsaPH7+PatWvdv9dVVVWaOnWqunTpombNmikqKkoffvihx/fkTLp27er+dWxsrCTpwIEDks78/YJ9kQzUA/Hx8dq+fbvmz5+viIgIPfzww7rqqqs8xpkRPM40UyQvL0933323brzxRn3wwQfavHmzxo8fr8rKSvcxU6ZM0VdffaUBAwbo448/VufOnbVixQpJ0tGjR/Xggw+qoKDAvW3ZskX//Oc/1b59ezVu3Fj5+fl68803FRsbq0mTJqlbt25MNQsiR48eVWhoqDZt2uTx+7ht2zbNmTNHkjRjxgzNmTNHY8eO1SeffKKCggL179/f43tyJg0bNnT/2uFwSDrZxyKd+fsF+yIZCBKfffZZtdcXX3yx+3VERIQGDRqkF198Ubm5ucrLy9PWrVvrOkzUQIcOHRQREaGcnJxq761fv15t2rTR+PHjlZiYqA4dOmjv3r3VjuvYsaNGjx6tjz76SLfccotef/11SdLll1+ur7/+WhdddFG1LSwsTJLUoEEDpaSk6Pnnn9eXX36pPXv26OOPP67dDw239u3bq2HDhtqwYYN7348//qjCwkJJ0mWXXaaqqiodOHCg2u9hy5YtJUnr1q3TTTfdpHvuuUfdunVTu3bt3Of/LCwsTFVVVT7FeLrvF+yLqYVBYt26dXr++ec1ePBgrV69WsuWLdPKlSslSYsWLVJVVZWSkpIUGRmpN954QxEREWrTpk2Ao8aphIeHa+zYsRozZozCwsJ05ZVXqrS0VF999ZU6dOigoqIivfXWW7riiiu0cuVKj3+VHT9+XE8++aRuu+02tW3bVt99950+//xz3XrrrZJOzkTo1auXRowYofvvv1+NGjXS119/rdWrV2vu3Ln64IMPtGvXLl111VVq2rSpVq1aJZfL5S5Ro/ZFRUVp2LBhevLJJ3X++eerRYsWGj9+vEJCTv7bq2PHjrr77ruVlpammTNn6rLLLlNpaalycnLUtWtXDRgwQB06dNDy5cu1fv16NW3aVLNmzVJJSYk6d+7svk9CQoI2bNigPXv2KCoqSs2aNfvV2H7t+wUbC3TTgh3UpIHw6aefNrfffruJjIw0LVu29OgAX7FihUlKSjLR0dGmUaNGplevXh4NQgg+VVVVZtq0aaZNmzamYcOGpnXr1mb69OnGGGOefPJJc/7555uoqCiTmppqXnjhBdOkSRNjjDEVFRXmzjvvNPHx8SYsLMy0atXKjBgxwt38ZYwxGzduNNdee62JiooyjRo1Ml27djXPPPOMMeZkM2Hfvn1N06ZNTUREhOnatatZsmRJnX9+uzty5Ii55557TGRkpImJiTHPP/+8x5/7yspKM2nSJJOQkGAaNmxoYmNjzc0332y+/PJLY8zJhsObbrrJREVFmRYtWpgJEyaYtLQ0c9NNN7nvsX37dtOrVy8TERFhJJndu3e7Gwh//PFH93GbN292v1+T7xfsyWGMMQHOR2wvISFBo0aNYoliAEBA0DMAAIDNkQwAAGBzDBMAAGBzVAYAALA5kgEAAGyOZAAAAJsjGQAAwOZIBgAAsDmSAQAAbI5kAAAAmyMZAADA5v4f4mlbsNAoo90AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(sc_df.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "id": "ZFaYmi8fBE6_"
   },
   "outputs": [],
   "source": [
    "sugar_covid_df.to_csv(\"covid-eda.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "M4W9aBagTHFC"
   },
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "IrRjhxe30C_q"
   },
   "source": [
    "## Modeling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fips</th>\n",
       "      <th>cases</th>\n",
       "      <th>deaths</th>\n",
       "      <th>employed-sugar-intake-daily</th>\n",
       "      <th>Democrats</th>\n",
       "      <th>Republicans</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>22.9</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>22.9</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>22.9</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>22.9</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>22.9</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25712</th>\n",
       "      <td>54</td>\n",
       "      <td>644682</td>\n",
       "      <td>8126</td>\n",
       "      <td>46.1</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25713</th>\n",
       "      <td>54</td>\n",
       "      <td>644682</td>\n",
       "      <td>8126</td>\n",
       "      <td>46.1</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25714</th>\n",
       "      <td>54</td>\n",
       "      <td>644682</td>\n",
       "      <td>8126</td>\n",
       "      <td>46.1</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25715</th>\n",
       "      <td>54</td>\n",
       "      <td>645710</td>\n",
       "      <td>8132</td>\n",
       "      <td>46.1</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25716</th>\n",
       "      <td>54</td>\n",
       "      <td>645710</td>\n",
       "      <td>8132</td>\n",
       "      <td>46.1</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25717 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       fips   cases  deaths  employed-sugar-intake-daily  Democrats   \n",
       "0         6       1       0                         22.9       True  \\\n",
       "1         6       2       0                         22.9       True   \n",
       "2         6       2       0                         22.9       True   \n",
       "3         6       2       0                         22.9       True   \n",
       "4         6       2       0                         22.9       True   \n",
       "...     ...     ...     ...                          ...        ...   \n",
       "25712    54  644682    8126                         46.1      False   \n",
       "25713    54  644682    8126                         46.1      False   \n",
       "25714    54  644682    8126                         46.1      False   \n",
       "25715    54  645710    8132                         46.1      False   \n",
       "25716    54  645710    8132                         46.1      False   \n",
       "\n",
       "       Republicans  \n",
       "0            False  \n",
       "1            False  \n",
       "2            False  \n",
       "3            False  \n",
       "4            False  \n",
       "...            ...  \n",
       "25712         True  \n",
       "25713         True  \n",
       "25714         True  \n",
       "25715         True  \n",
       "25716         True  \n",
       "\n",
       "[25717 rows x 6 columns]"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merge all data\n",
    "full_table = sugar_covid_df.merge(election_df, how=\"inner\", on=\"state\")\n",
    "# need to drop the stateand Winning Party columns, not sure why\n",
    "full_table.drop(columns=\"state\", inplace = True)\n",
    "full_table.drop(columns=\"Winning Party\", inplace = True)\n",
    "full_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "id": "sdsYYSuy0Exu"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         True\n",
       "1         True\n",
       "2         True\n",
       "3         True\n",
       "4         True\n",
       "         ...  \n",
       "25712    False\n",
       "25713    False\n",
       "25714    False\n",
       "25715    False\n",
       "25716    False\n",
       "Name: Democrats, Length: 25717, dtype: bool"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "from sklearn import model_selection\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.feature_selection import SelectKBest\n",
    "from sklearn.feature_selection import chi2\n",
    "\n",
    "#full_table.drop(columns=\"state\")\n",
    "\n",
    "\n",
    "X = full_table.drop(columns=\"Democrats\")\n",
    "y = full_table['Democrats']\n",
    "\n",
    "y\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\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>Features</th>\n",
       "      <th>Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>fips</td>\n",
       "      <td>7.933608e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>cases</td>\n",
       "      <td>3.375239e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>deaths</td>\n",
       "      <td>5.711517e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>employed-sugar-intake-daily</td>\n",
       "      <td>4.224103e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Republicans</td>\n",
       "      <td>8.949000e+03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Features         Score\n",
       "0                         fips  7.933608e+03\n",
       "1                        cases  3.375239e+09\n",
       "2                       deaths  5.711517e+07\n",
       "3  employed-sugar-intake-daily  4.224103e+04\n",
       "4                  Republicans  8.949000e+03"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Select the top 3 features:\n",
    "best_features = SelectKBest(score_func=chi2, k=3)\n",
    "fit = best_features.fit(X,y)\n",
    "# Now we create data frames for the features and the score of each feature:\n",
    "df_scores= pd.DataFrame(fit.scores_)\n",
    "df_columns= pd.DataFrame(X.columns)\n",
    "# Finally, we’ll combine all the features and their corresponding scores in one data frame:\n",
    "features_scores = pd.concat([df_columns, df_scores], axis=1)\n",
    "features_scores.columns = ['Features', 'Score']\n",
    "features_scores.sort_values(by = 'Score')\n",
    "features_scores\n",
    "# this doesn't seem right: 'Republicans' should be a perfect predictor for 'Democrats'!\n",
    "\n",
    "# Now it’s time to get our hands dirty. First, split the dataset into X and Y:\n"
   ]
  },
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   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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