{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Exploratory Data Analysis (EDA) and Data Visualization\n",
        "\n",
        "Rafiq Islam  \n",
        "2024-11-08\n",
        "\n",
        "In this Exploratory Data Analysis and Visualization notebook, we want to\n",
        "explore the\n",
        "<a href=\"https://www.kaggle.com/datasets/mchirico/montcoalert\"\n",
        "target=\"_blank\" style=\"text-decoration:none\">911 call data from\n",
        "Kaggle.com</a>\n",
        "\n",
        "## The Dataset"
      ],
      "id": "eef32f10-8d80-41e0-bf35-2aa40c79d74e"
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "df = pd.read_csv('911.csv')"
      ],
      "id": "245452f7"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Discriptive Statistics\n",
        "\n",
        "We first check the data information to see the number of observations,\n",
        "datatype, memory usages etc."
      ],
      "id": "1bf3f7ca-ca4a-47d8-be39-b1121a353d28"
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 105957 entries, 0 to 105956\n",
            "Data columns (total 9 columns):\n",
            " #   Column     Non-Null Count   Dtype  \n",
            "---  ------     --------------   -----  \n",
            " 0   lat        105957 non-null  float64\n",
            " 1   lng        105957 non-null  float64\n",
            " 2   desc       105957 non-null  object \n",
            " 3   zip        92735 non-null   float64\n",
            " 4   title      105957 non-null  object \n",
            " 5   timeStamp  105957 non-null  object \n",
            " 6   twp        105924 non-null  object \n",
            " 7   addr       105957 non-null  object \n",
            " 8   e          105957 non-null  int64  \n",
            "dtypes: float64(3), int64(1), object(5)\n",
            "memory usage: 7.3+ MB"
          ]
        }
      ],
      "source": [
        "df.info()"
      ],
      "id": "443607ee"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "A first look of the data"
      ],
      "id": "24f23405-f0a3-4486-921a-b884845dab3e"
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "\n",
              "</div>"
            ]
          }
        }
      ],
      "source": [
        "df.head()"
      ],
      "id": "8beb50cc"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Some data related questions. For example,\n",
        "\n",
        "-   What are the top 10 zipcodes for 911 calls?\n",
        "\n",
        "    ``` python\n",
        "    df.zip.value_counts().head(10)\n",
        "    ```\n",
        "\n",
        "        zip\n",
        "        19401.0    7445\n",
        "        19464.0    7122\n",
        "        19403.0    5189\n",
        "        19446.0    5060\n",
        "        19406.0    3404\n",
        "        19002.0    3238\n",
        "        19468.0    3202\n",
        "        19454.0    2984\n",
        "        19090.0    2832\n",
        "        19046.0    2779\n",
        "        Name: count, dtype: int64\n",
        "\n",
        "-   What are the top 10 twonships for the 911 calls?\n",
        "\n",
        "    ``` python\n",
        "    df.twp.value_counts().head(10)\n",
        "    ```\n",
        "\n",
        "        twp\n",
        "        LOWER MERION        9069\n",
        "        ABINGTON            6403\n",
        "        NORRISTOWN          6265\n",
        "        UPPER MERION        5551\n",
        "        CHELTENHAM          4882\n",
        "        POTTSTOWN           4448\n",
        "        UPPER MORELAND      3658\n",
        "        LOWER PROVIDENCE    3435\n",
        "        PLYMOUTH            3371\n",
        "        HORSHAM             3142\n",
        "        Name: count, dtype: int64\n",
        "\n",
        "## Feature Engineering\n",
        "\n",
        "Sometimes creating new features from the existing features helps\n",
        "understand the data better. For example, for this dataset, we can create\n",
        "a new column called `Reason` for emergency 911 call."
      ],
      "id": "644b6fd7-5344-4067-870e-7f6aee6dbd5b"
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "\n",
              "</div>"
            ]
          }
        }
      ],
      "source": [
        "df['reason'] = df.title.apply(lambda title: title.split(':')[0])\n",
        "df.head(3)"
      ],
      "id": "9d42c310"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "what are top reasons for the emergency calls?"
      ],
      "id": "1d366c5a-541e-44a3-942b-ead8a6f53bd8"
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/plain": [
              "reason\n",
              "EMS        52515\n",
              "Traffic    37505\n",
              "Fire       15937\n",
              "Name: count, dtype: int64"
            ]
          }
        }
      ],
      "source": [
        "df.reason.value_counts()"
      ],
      "id": "33438d36"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "visualization of the reason column"
      ],
      "id": "134be1b3-3f6c-43bf-bffd-c36e15133bde"
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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btkyZmZmKioqyzzscjjObFAAAIET1OMTWrl2rbdu26Uc/+lFvzAMAABAyevw5Yp2dnbrq\nqqt6YxYAAICQ0uMQmzJlil5++eXemAUAACCk9PjWZENDg+644w6tWbNGSUlJAdeef/75oA0GAABw\nsetxiEVGRurWW2/tjVkAAABCSo9D7Nlnn+2NOQAAAEJOj98jBgAAgODo8StiKSkp3/qZYfX19Wc9\nEAAAQKjocYg98sgjAV/v379fa9eu1X333Re0oQAAAEJBj0PszjvvPOHchAkTNH/+fD388MNBGQoA\nACAUBOU9Yt///ve1ffv2YGwFAAAQMnr8itjRo0cDvj58+LDWrFmjAQMGBG0oAACAUNDjEHM6nSe8\nWd/j8ei5554L2lAAAAChoMch9s477wR87fF4lJ6erujo6KANBQAAEAp6HGLXXHNNb8wBAAAQcs7o\nzfp/+MMfNGHCBA0bNkwTJkzQq6++Guy5AAAALno9DrHnn39et912m9LT0zVjxgylp6frjjvu4D1i\nAAAAPdTjW5OlpaX6/e9/rzFjxtjnJk6cqNmzZ5/0M8YAAABwcj1+Ray+vl4//vGPA86NHj2aX28E\nAADQQz0OsZSUFG3dujXg3Pbt25WcnBy0oQAAAEJBj29NPvjgg/rpT3+qe+65R0OGDNHevXtVVlam\nJ554ojfmAwAAuGj1OMSmTZsmj8ejtWvXqry8XCkpKVq7dq1uuumm3pgPAADgotXjW5MvvPCChgwZ\novLycu3cuVPl5eUaMmSIXnzxxd6YDwAA4KLV4xBbvHixBg4cGHAuMTFRxcXFQRsKAAAgFPQ4xA4e\nPHhCiA0cOFAHDhwI2lAAAAChoMchlpiYqN27dwec2717t/r37x+0oQAAAEJBj0Ps5ptv1h133KGq\nqiodPnxYVVVVmjZtmn72s5/1xnwAAAAXrR7/X5MLFixQXV2dfvjDH8rhcEiSpkyZoqKioqAPBwAA\ncDHrcYhFRkZqw4YNWrFihfbt26e0tDQlJCT0xmwAAAAXtR6H2DHx8fGKj48P5iwAAAAhpcfvEQMA\nAEBwEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACG\nEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIA\nAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGGAmxhx9+WBkZGfJ6vUpMTNSU\nKVP06aefBqypr6/XddddJ4/Ho4SEBM2cOVMdHR0Ba55++mmlpaXJ7XbrBz/4gbZt2xb0PQAAAHqL\nkRBzOBxav369Ghoa9NFHH8nhcOj666+3rx89elTXXXed+vbtq/379+v999/Xtm3bNHfuXHvN7373\nO82bN0/PPfecmpqadPfdd2vChAl20AVjDwAAgN7ksCzLMj1EdXW1srKy9NVXXykuLk5bt27V2LFj\n9fe//10JCQmSpFdffVVTp05VY2OjIiMj9S//8i/KzMzUv/3bv9n7ZGVlafLkyVq4cGFQ9jgVv98v\nt9uttrY2uVyuM378425Zcsbfi9CyeWOR6RGAC9ast2ebHgEXiKfGrDjrPU63Ec6L94ht3rxZqamp\niouLk/R1mA0ePNgOKEnKzs5WW1ubdu/eba8ZMWJEwD7Z2dmqqqoK2h7H6+zslN/vDzgAAADOlPEQ\n27JlixYvXqxnnnnGPufz+RQbGxuw7lik+Xy+71xzqus92eN4S5culdvtto/4+PjTfpwAAADHMxpi\nr7/+um666SZt2LBBP/nJT+zzXq9XTU1NAWsPHTpkX/uuNae63pM9jjd//ny1tbXZR2Nj42k/VgAA\ngOMZC7EXX3xRt912mzZu3KhJkyYFXMvMzNS+ffsCQqeyslJut1vp6en2mh07dgR8X2VlpbKysoK2\nx/EiIiLkcrkCDgAAgDNlJMRWrlypmTNn6vXXX1deXt4J10eNGqV/+Id/0IMPPqiWlhbV19erqKhI\nd999tyIjIyVJ+fn5Kisr0/bt29XR0aHVq1dr9+7dmjZtWtD2AAAA6E1OEz901qxZcjqdGj9+fMD5\nN998U6NGjVJYWJhee+015efnKzExUZdccommTJmiX//61/bam2++WQcOHNDPf/5zHTx4UP/4j/+o\nN954QykpKZIUlD0AAAB603nx8RUXKj6+AucaH18BnDk+vgKnK+Q+vgIAACAUEWIAAACGEGIAAACG\nEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIA\nAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGEGIAAACGOE0PAODC\nlPnIItMj4AJRvWCR6RGA8xaviAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEA\nABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhC\niAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEA\nABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhCiAEAABhi\nJMT+8z//U6NGjZLX65XD4VBXV1fA9Q8++EC5ubmKiopSUlKSFi1aJMuy7OuWZam4uFhJSUmKiopS\nbm6uampqgr4HAABAbzISYnFxccrPz9fy5ctPuNbS0qK8vDzl5OSooaFBFRUVWrduXcDa0tJSlZWV\nqaKiQg0NDcrJyVFeXp5aW1uDtgcAAEBvMxJieXl5mjJligYPHnzCtVdeeUXd3d0qKSmRy+VSRkaG\n5s6dq5UrV9prVq1apcLCQmVkZMjlcqmkpEQdHR3atGlT0PYAAADobefde8Sqq6uVlZUlp9Npn8vO\nzlZtba18Pp+am5tVV1enESNG2NedTqeysrJUVVUVtD1OprOzU36/P+AAAAA4U+ddiPl8PsXGxgac\ni4uLs6/5fD5JOumaY9eCscfJLF26VG632z7i4+N78tAAAAACnHch5vV61dTUFHDu0KFD9jWv1ytJ\nJ11z7Fow9jiZ+fPnq62tzT4aGxt78tAAAAACnHchlpmZqaqqqoD/k7KyslKDBw+W1+tVTEyM0tLS\ntGPHDvt6V1eXfTsyWHucTEREhFwuV8ABAABwpoyEWHd3t9rb29XR0SFJOnLkiNrb23X06FFNnjxZ\n4eHhKi4ult/vV01NjUpLS1VQUGB/f35+vkpLS1VTUyO/36/i4mJFRERo0qRJkhSUPQAAAHqb89RL\ngu+FF17Q9OnT7a+jo6MlSe+8845Gjx6tiooKFRQUKD4+Xl6vVzNmzNCcOXPs9YWFhWppadHYsWPl\n8/k0fPhwlZeX2/t4PJ6z3gMAAKC3OaxvfsopesTv98vtdqutre2sblOOu2VJEKfCxWzzxiLTI9gy\nH1lkegRcIKoXLDI9giRp1tuzTY+AC8RTY1ac9R6n2wjn3XvEAAAAQgUhBgAAYAghBgAAYAghBgAA\nYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAgh\nBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAA\nYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAgh\nBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAA\nYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAgh\nBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYAghBgAAYEjIh5hlWSouLlZSUpKioqKUm5urmpoa\n02MBAIAQEPIhVlpaqrKyMlVUVKihoUE5OTnKy8tTa2ur6dEAAMBFLuRDbNWqVSosLFRGRoZcLpdK\nSkrU0dGhTZs2mR4NAABc5JymBzCpublZdXV1GjFihH3O6XQqKytLVVVVuv322wPWd3Z2qqury/66\nra1NkuT3+89qju6uzrP6foSOs32uBdPRTp63OD3ny/O260jXqRcBCs5z9tgelmV957qQDjGfzydJ\nio2NDTgfFxdnX/umpUuXavHixSecj4+P75X5gOO53Y+YHgHoMfeSR02PAPTIM1oVtL3a29vldru/\n9XpIh5jX65UkNTU1BZw/dOiQBg0adML6+fPn65e//KX99dGjR9Xa2iqPxyOHw9Grs4Yav9+v+Ph4\nNTY2yuVymR4HOCWes7gQ8bztPZZlqb29/YQXe44X0iEWExOjtLQ07dixQyNHjpQkdXV1qbq6+oTb\nkpIUERGhiIiIgHNRUVHnZNZQ5XK5+MsBFxSes7gQ8bztHd/1StgxIf9m/fz8fJWWlqqmpkZ+v1/F\nxcWKiIjQpEmTTI8GAAAuciH9ipgkFRYWqqWlRWPHjpXP59Pw4cNVXl6u6Oho06MBAICLXMiHmMPh\n0JIlS7RkyRLTo+AbnE6niouL5XSG/FMUFwies7gQ8bw1z2Gd6v+rBAAAQK8I+feIAQAAmEKIAQAA\nGEKIAQAAGEKIAcAZqK+vV3R0tGpra02PApy1OXPmqH///oqOjtaHH36ozs5O3Xbbberbt6+io6PV\n3NysK6+8Us8995zpUS86hBjOidGjR6tPnz6Kjo4OODZu3Kj169fL4XDYH6r7TXfeeaccDocWLFhg\nn/vb3/6m6667Tv3795fH41FqaqomT56sjo6Oc/mQEEJO9vz9+c9/rtbWVg0ePNj0eAgh33wO9unT\nR+Hh4QHntm/f3uM933vvPa1atUpVVVVqbW1VRkaGXn75Zb3zzjuqq6tTa2urYmJitHPnTt155529\n8KhCGyGGc+ahhx5Sa2trwHHLLbdIkvr166e9e/fqgw8+sNd/9dVXeuWVV5Senm6fO3z4sMaOHavh\nw4ertrZWPp9Pf/rTn/Sv//qvp/zFqsDZOP75u23btu9cz38YoDd88zn40EMPadSoUQHnRo0aZa89\n3efg3r171a9fv4Bf7bd3714NHjzY/lWA6D2EGM4Lffr00bRp07R69Wr73LPPPqtx48YpMTHRPvfx\nxx+roaFBv/jFLxQdHS2Hw6GUlBTdf//9uuSSS0yMjhBVV1cnh8Oh//u//5MkrV+/XsnJyXr66aeV\nlpam+Ph4SdL+/fs1depUDRo0SP3799eUKVP05ZdfmhwdF6lFixbpn//5n7Vw4UIlJSUpMzNTklRU\nVKT09HR5PB6lpKRo1qxZamtrkyQVFxfrnnvu0eeff67o6GhdeeWVmjZtmpYsWaL33ntP0dHRGj9+\nvCQpLS1N69ats3/eRx99pIkTJ2rgwIGKiYnRj370I3366afn/HFf6AgxnDfuu+8+/fa3v1Vra6ss\ny9Izzzyj+++/P2DN0KFDlZiYqFtuuUW/+c1vtGvXLkPTAif64osv9Le//U01NTU6cOCAjhw5ojFj\nxigpKUm7d+9WbW2tnE6npk6danpUXKT++7//WxEREaqtrVVlZaUk6YorrtCWLVvk8/lUXl6uN998\nUyUlJZKkxYsX65lnnlFSUpJaW1u1c+dOrV+/XvPmzdPIkSPV2tqqN99884Sfc+DAAY0aNUrDhg3T\n7t279dVXX+mpp57i91WeAUIM50xpaaliY2MDjj179tjXhwwZoquuukovvviitmzZIofDoTFjxgTs\nER0drf/5n/9RRkaGHnvsMQ0bNkwDBw7Ur371K25Nolcd//x94YUXTrpu+fLlio6Oltvt1htvvKGW\nlhb9+te/VlRUlKKjo7Vs2TJt2bJFn3322Tl+BAgFAwYM0MKFCxUZGWn/wunbb79dl156qRwOh668\n8koVFBRo8+bNZ/VzXnjhBQ0cOFCPPvqovF6vwsPDlZ2drYSEhGA8jJDC7zTAOVNYWKhHHnnkhPN/\n/vOf7X+eMWOGSkpKlJaWpnvvvVcOh+OE9SkpKXryySclff2esZdeekn33nuvEhMTNW3atF6bH6Ht\n+OdvXV2dioqKAtb079/f/pefJO3Zs0cHDhxQXFxcwLpLLrlE9fX1Sk5O7t2hEXJSU1NP+HtzzZo1\nWrNmjT755BN1dXWps7PTvnV+pvbt26ehQ4ee1R74Gq+I4bxy/fXX6+DBgyovL9f06dNPuT4qKkrT\np0/X9773Pf31r389BxMC3y4sLPCv1IEDByo1NVVNTU0BR3t7u66++mpDU+Jidvxz8L333tPMmTP1\nxBNP6IsvvlBzc7OWLl161ncQ0tLSAu5o4MwRYjivOJ1OlZeXa+vWrSf9L7aPP/5YjzzyiHbt2mX/\nl91LL72kmpoa5ebmGpgY+HaTJ09WZ2enFi5cqObmZknSwYMHtXHjRsOTIVQ0NzcrPDxc/fr1U0RE\nhP76179q5cqVZ73vHXfcoc8++0wLFy5US0uLuru7VVlZqYaGhiBMHVoIMZwzjz/++AmfI/b444+f\nsG7YsGHKzs4+6R4ej0cff/yxxo8fr9jYWPXv31+PPfaYnn76ad100029/RCAHvF4PHrvvfdUX1+v\njIwMeb1eXX311af86AsgWMaNG6cZM2Zo9OjRiomJ0bx584LyWWADBgzQtm3b9P777+uyyy5TfHy8\nZs2apfb29iBMHVocFu9wBgAAMIJXxAAAAAwhxAAAAAwhxAAAAAwhxAAAAAwhxAAAAAwhxAAAAAwh\nxAAAAAwhxAAAAAwhxAAAAAwhxABAUkdHh+kRAIQgQgxASBo9erRmzpypW2+9VXFxcfrFL36hP/7x\nj7rqqqsUFxenK664Qv/+7/9ur29vb9fNN9+sQYMGyePxaOjQoXr66aft65ZlqaioSMnJyfJ4PEpO\nTta8efPs6x999JHGjx+vhIQEJScn67777rN/EfixeWbPnq2pU6cqJiZGKSkpWr169bn5wwBgjgUA\nIeiaa66x3G639cYbb1jd3d3W66+/bsXExFhbtmyxuru7rQ8//NBKTk62NmzYYFmWZbW1tVllZWXW\noUOH7PV9+vSxysvLLcuyrM2bN1uDBg2yPvnkE8uyLKuxsdF69913LcuyLJ/PZyUlJVkPPPCAdfjw\nYevzzz+3cnNzrZ/+9KcB83i9Xuvtt9+2uru7rZdfftkKCwuz9uzZc27/YACcU7wiBiBkTZw4URMm\nTFBYWJjWrFmj+++/X2PGjFFYWJiGDRumGTNm6Nlnn5UkuVwuTZ8+XbGxsQoLC9O1116rn/zkJ9q8\nebMkqU+fPmpvb9fOnTvl9/vVt29fjRw5UpL0+uuvq6OjQ4899pjcbrcSExO1fPlyvfrqq/riiy/s\neW688Ub9+Mc/VlhYmG688Ub17dtX77///rn/gwFwzhBiAELWZZddZv/znj17tGLFCsXGxtrHsmXL\n9Pe//12SdOTIERUWFio9PV0xMTGKjY3Vm2++qYMHD0qSrrnmGj3++ONatmyZBgwYoNzcXL311luS\npE8//VSpqalyOp32z7v88sslSfX19fa5pKSkgPmioqLU0tLSOw8ewHmBEAMQssLC/v9fgQMHDtTD\nDz+spqYm+2hpadHOnTslSU8++aRee+01vfbaazp06JCampo0fvx4WZZl73HXXXdp69at+vLLL3XD\nDTfo+uuvV0tLi1JSUlRfX6+uri577d69eyVJl1566Tl6tADOR4QYAEiaPXu2nnrqKb399tvq6upS\nV1eXampqtG3bNklSc3OzLrnkEvXr109Hjx7V7373O/u2pCT95S9/0bZt2+T3+9WnTx95PB45HA6F\nh4fr2muvldPp1Lx58+T3+/XFF19ozpw5uv766zVw4EBTDxnAecB56iUAcPG74YYbFBkZqaKiIn30\n0UeSpPT0dD300EOSpMLCQn344YdKTU2Vy+XS5MmTdcMNN9jf39raqoceeki7du1SWFiY0tPTtWnT\nJrndbknSW2+9pQceeEDJycmKjIzUhAkT9Pjjj5/zxwng/OKwvvm6OgAAAM4Zbk0CAAAYQogBAAAY\nQogBAAAYQogBAAAYQogBAAAYQogBAAAYQogBAAAYQogBAAAYQogBAAAYQogBAAAYQogBAAAY8v8A\nsd+AeWAl01YAAAAASUVORK5CYII=\n"
          }
        }
      ],
      "source": [
        "sns.countplot(x=df.reason, hue=df.reason, palette='viridis')"
      ],
      "id": "0af5be0b"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The `timeStamp` column contains time information year-month-day\n",
        "hour:minute:second format but in string value/object. So we can convert\n",
        "this column to obtain new features."
      ],
      "id": "ce3e100b-ed44-4ceb-aca3-9cae7f2f9c2c"
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipykernel_3483/1994586768.py:1: UserWarning:\n",
            "\n",
            "Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n"
          ]
        }
      ],
      "source": [
        "df['timeStamp'] = pd.to_datetime(df.timeStamp)\n",
        "time = df.timeStamp.iloc[0]"
      ],
      "id": "fa27fb8f"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Let’s create new features called `hour`, `month`, and `day` of the\n",
        "calls."
      ],
      "id": "98f624ba-8321-4226-b5a2-61333d681a99"
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "\n",
              "</div>"
            ]
          }
        }
      ],
      "source": [
        "df['hour'] = df.timeStamp.apply(lambda time: time.hour)\n",
        "df['month'] = df.timeStamp.apply(lambda time: time.month)\n",
        "df['day'] = df.timeStamp.apply(lambda time: time.dayofweek)\n",
        "days = {\n",
        "    0:'Monday', 1:'Tuesday', 2:'Wednesday', \n",
        "    3:'Thursday', 4:'Friday', 5:'Saturday',\n",
        "    6:'Sunday'\n",
        "    }\n",
        "df.day = df.day.map(days)\n",
        "df = df[\n",
        "    ['lat','lng','zip','twp','e','reason',\n",
        "    'month','day','hour','title','timeStamp',\n",
        "    'desc','addr']\n",
        "    ]\n",
        "df.head(3)"
      ],
      "id": "7e038134"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Now that we have almost a clean dataset, we can analyze the reason\n",
        "column based on the days of the week or months of a year."
      ],
      "id": "b94e6ab4-2207-4b14-bd5c-42c5e13c77ea"
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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ysjKVlJS4bQAAAIDXA/O//vUvffvttxo+fLgkafPmzYqPj5ev7/99pkrHjh21a9cuuVwu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\nAQAAABv/D6FAT55d/M3qAAAAAElFTkSuQmCC\n"
          }
        }
      ],
      "source": [
        "sns.countplot(x='day', data= df, hue='reason', palette='viridis')\n",
        "plt.legend(bbox_to_anchor=(1.05,1), loc=2, borderaxespad=0.0)"
      ],
      "id": "0b488035"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "For the month column"
      ],
      "id": "2de83ca6-4f0b-496b-9b93-d62c26cff18b"
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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27NmN3hwAAABgtToHZl9fX61Zs0YLFy7U/v37FRMTo/Dw8KboDQAAALBcnQPz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\nAEz8PxaG04bMzbzcAAAAAElFTkSuQmCC\n"
          }
        }
      ],
      "source": [
        "sns.countplot(x='month', data= df, hue='reason', palette='viridis')\n",
        "plt.legend(bbox_to_anchor=(1.05,1), loc=2, borderaxespad=0.0)"
      ],
      "id": "5f7bec2a"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "To create a time series data"
      ],
      "id": "45036c7a-e23a-46e5-a322-6df75834b645"
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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CI+3AttqIkH0sLI1XzSqHvhKO7nSJaiRT8Rn6QhVicFDgcwhgAc9Qp4DEpoXF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\n"
          }
        }
      ],
      "source": [
        "df['date'] = df['timeStamp'].apply(lambda time: time.date())\n",
        "df.groupby('date').count()['twp'].plot()"
      ],
      "id": "2a0e91ae"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Now to see for each reason"
      ],
      "id": "ac357a12-f4af-43ef-b05a-e4f8792688ea"
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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LS/XEE0+Y28vLyxUQEKDQ0FDV19frpZdeMs9bb9SpUyf997//Nf/cunVrJScn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\nH1n2dxZ+q4DgAAAAAElFTkSuQmCC\n"
          }
        }
      ],
      "source": [
        "start_date = pd.to_datetime('2019-01-01')\n",
        "\n",
        "\n",
        "df['date'] = pd.to_datetime(df['date'])\n",
        "\n",
        "\n",
        "fig = plt.figure(figsize=(7.9,6))\n",
        "\n",
        "ax1 = fig.add_subplot(311)\n",
        "df[(df['reason'] == 'Traffic') & (df['date'] >= start_date)].groupby('date').count()['twp'].plot(ax=ax1)\n",
        "\n",
        "ax2 = fig.add_subplot(312)\n",
        "df[(df['reason'] == 'Fire') & (df['date'] >= start_date)].groupby('date').count()['twp'].plot(ax=ax2)\n",
        "\n",
        "ax3 = fig.add_subplot(313)\n",
        "df[(df['reason'] == 'EMS') & (df['date'] >= start_date)].groupby('date').count()['twp'].plot(ax=ax3)\n",
        "\n",
        "plt.tight_layout()\n",
        "\n",
        "plt.show()"
      ],
      "id": "0d1f712f"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "------------------------------------------------------------------------\n",
        "\n",
        "**Share on**\n",
        "\n",
        "<a href=\"https://www.facebook.com/sharer.php?u=https://mrislambd.github.io/dsandml/posts/eda/\" target=\"_blank\" style=\"color:#1877F2; text-decoration: none;\">\n",
        "\n",
        "</a>\n",
        "\n",
        "<a href=\"https://www.linkedin.com/sharing/share-offsite/?url=https://mrislambd.github.io/dsandml/posts/eda/\" target=\"_blank\" style=\"color:#0077B5; text-decoration: none;\">\n",
        "\n",
        "</a>\n",
        "\n",
        "<a href=\"https://www.twitter.com/intent/tweet?url=https://mrislambd.github.io/dsandml/posts/eda/\" target=\"_blank\" style=\"color:#1DA1F2; text-decoration: none;\">\n",
        "\n",
        "</a>"
      ],
      "id": "be82ae40-eace-42e2-890a-b11888126619"
    },
    {
      "cell_type": "raw",
      "metadata": {
        "raw_mimetype": "text/html"
      },
      "source": [
        "<script src=\"https://giscus.app/client.js\"\n",
        "        data-repo=\"mrislambd/mrislambd.github.io\" \n",
        "        data-repo-id=\"R_kgDOMV8crA\"\n",
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