Person_collision _analysis.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Person_collision.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yc7x58xNL2kv",
        "outputId": "2c07eab5-4c07-4936-913d-403bbb360386"
      },
      "source": [
        "!apt-get update"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\r0% [Working]\r            \rGet:1 https://cloud.r-project.org/bin/linux/ubuntu bionic-cran40/ InRelease [3,626 B]\n",
            "\r0% [Connecting to archive.ubuntu.com (91.189.88.152)] [Connecting to security.u\r0% [Connecting to archive.ubuntu.com (91.189.88.152)] [Connecting to security.u\r0% [1 InRelease gpgv 3,626 B] [Connecting to archive.ubuntu.com (91.189.88.152)\r                                                                               \rIgn:2 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  InRelease\n",
            "Ign:3 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  InRelease\n",
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            "Get:7 http://security.ubuntu.com/ubuntu bionic-security InRelease [88.7 kB]\n",
            "Get:8 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic InRelease [15.9 kB]\n",
            "Hit:9 http://archive.ubuntu.com/ubuntu bionic InRelease\n",
            "Get:10 https://cloud.r-project.org/bin/linux/ubuntu bionic-cran40/ Packages [55.5 kB]\n",
            "Get:11 http://archive.ubuntu.com/ubuntu bionic-updates InRelease [88.7 kB]\n",
            "Hit:13 http://ppa.launchpad.net/cran/libgit2/ubuntu bionic InRelease\n",
            "Ign:14 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  Packages\n",
            "Get:14 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  Packages [770 kB]\n",
            "Get:15 http://archive.ubuntu.com/ubuntu bionic-backports InRelease [74.6 kB]\n",
            "Get:16 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu bionic InRelease [15.9 kB]\n",
            "Get:17 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu bionic InRelease [21.3 kB]\n",
            "Get:18 http://security.ubuntu.com/ubuntu bionic-security/multiverse amd64 Packages [24.7 kB]\n",
            "Get:19 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic/main Sources [1,759 kB]\n",
            "Get:20 http://security.ubuntu.com/ubuntu bionic-security/restricted amd64 Packages [399 kB]\n",
            "Get:21 http://archive.ubuntu.com/ubuntu bionic-updates/multiverse amd64 Packages [31.6 kB]\n",
            "Get:22 http://security.ubuntu.com/ubuntu bionic-security/universe amd64 Packages [1,410 kB]\n",
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            "Get:25 http://archive.ubuntu.com/ubuntu bionic-updates/restricted amd64 Packages [429 kB]\n",
            "Get:26 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 Packages [2,182 kB]\n",
            "Get:27 http://ppa.launchpad.net/c2d4u.team/c2d4u4.0+/ubuntu bionic/main amd64 Packages [900 kB]\n",
            "Get:28 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu bionic/main amd64 Packages [40.8 kB]\n",
            "Get:29 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu bionic/main amd64 Packages [49.5 kB]\n",
            "Fetched 13.0 MB in 5s (2,627 kB/s)\n",
            "Reading package lists... Done\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OnwG-WXOuMME"
      },
      "source": [
        "!apt-get install openjdk-8-jdk-headless -qq > /dev/null"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RTmF6alruW0K"
      },
      "source": [
        "!wget -q https://downloads.apache.org/spark/spark-3.1.1/spark-3.1.1-bin-hadoop2.7.tgz\n",
        "!wget -q https://drive.google.com/u/1/uc?id=1VDkRTtHhh24yS9b9kydBxLhArQi_0AsN&export=download"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XjORZ37Yudd0"
      },
      "source": [
        "!tar xf spark-3.1.1-bin-hadoop2.7.tgz"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SqXJ-EHJudUH"
      },
      "source": [
        "!pip install -q findspark"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MDwBNfAKudI_"
      },
      "source": [
        "import os\n",
        "os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n",
        "os.environ[\"SPARK_HOME\"] = \"/content/spark-3.1.1-bin-hadoop2.7\""
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yDcB4zvYuc4t"
      },
      "source": [
        "import findspark\n",
        "findspark.init()"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rcQoc3ctvG7Z"
      },
      "source": [
        "from pyspark.sql import SparkSession\n",
        "\n",
        "spark = SparkSession.builder\\\n",
        "        .master(\"local\")\\\n",
        "        .appName(\"Collision\")\\\n",
        "        .config('spark.ui.port', '4050')\\\n",
        "        .getOrCreate()"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LO6bDYc4vG32",
        "outputId": "99fc7661-9bc8-4c05-f7a3-22deb1420728"
      },
      "source": [
        "!wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip\n",
        "!unzip -y ngrok-stable-linux-amd64.zip\n",
        "get_ipython().system_raw('./ngrok http 4050 &')\n",
        "!curl -s http://localhost:4040/api/tunnels"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2021-05-07 15:45:17--  https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip\n",
            "Resolving bin.equinox.io (bin.equinox.io)... 52.0.242.214, 34.192.46.56, 54.164.22.162, ...\n",
            "Connecting to bin.equinox.io (bin.equinox.io)|52.0.242.214|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 13832437 (13M) [application/octet-stream]\n",
            "Saving to: ‘ngrok-stable-linux-amd64.zip’\n",
            "\n",
            "ngrok-stable-linux- 100%[===================>]  13.19M  17.7MB/s    in 0.7s    \n",
            "\n",
            "2021-05-07 15:45:18 (17.7 MB/s) - ‘ngrok-stable-linux-amd64.zip’ saved [13832437/13832437]\n",
            "\n",
            "UnZip 6.00 of 20 April 2009, by Debian. Original by Info-ZIP.\n",
            "\n",
            "Usage: unzip [-Z] [-opts[modifiers]] file[.zip] [list] [-x xlist] [-d exdir]\n",
            "  Default action is to extract files in list, except those in xlist, to exdir;\n",
            "  file[.zip] may be a wildcard.  -Z => ZipInfo mode (\"unzip -Z\" for usage).\n",
            "\n",
            "  -p  extract files to pipe, no messages     -l  list files (short format)\n",
            "  -f  freshen existing files, create none    -t  test compressed archive data\n",
            "  -u  update files, create if necessary      -z  display archive comment only\n",
            "  -v  list verbosely/show version info       -T  timestamp archive to latest\n",
            "  -x  exclude files that follow (in xlist)   -d  extract files into exdir\n",
            "modifiers:\n",
            "  -n  never overwrite existing files         -q  quiet mode (-qq => quieter)\n",
            "  -o  overwrite files WITHOUT prompting      -a  auto-convert any text files\n",
            "  -j  junk paths (do not make directories)   -aa treat ALL files as text\n",
            "  -U  use escapes for all non-ASCII Unicode  -UU ignore any Unicode fields\n",
            "  -C  match filenames case-insensitively     -L  make (some) names lowercase\n",
            "  -X  restore UID/GID info                   -V  retain VMS version numbers\n",
            "  -K  keep setuid/setgid/tacky permissions   -M  pipe through \"more\" pager\n",
            "  -O CHARSET  specify a character encoding for DOS, Windows and OS/2 archives\n",
            "  -I CHARSET  specify a character encoding for UNIX and other archives\n",
            "\n",
            "See \"unzip -hh\" or unzip.txt for more help.  Examples:\n",
            "  unzip data1 -x joe   => extract all files except joe from zipfile data1.zip\n",
            "  unzip -p foo | more  => send contents of foo.zip via pipe into program more\n",
            "  unzip -fo foo ReadMe => quietly replace existing ReadMe if archive file newer\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "p6NRMVx3vGvc"
      },
      "source": [
        "from pyspark import SparkContext,SparkConf\n",
        "from pyspark.sql import SparkSession\n",
        "import pyspark\n",
        "conf = pyspark.SparkConf()\n",
        "conf.set(\"spark.driver.memory\",\"8G\");\n",
        "import numpy as np\n",
        "sc = SparkContext.getOrCreate(conf=conf)\n",
        "from pyspark.sql.functions import round, col\n",
        "from pyspark.sql.types import DateType\n",
        "from pyspark.sql.functions import to_date"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d5M0HCh2OaQ_",
        "outputId": "455cb280-ffaf-4aed-c45f-41ee27229b92"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SsqBwuwKxiv7"
      },
      "source": [
        "person = spark.read.option(\"header\",True).csv(\"/content/drive/MyDrive/Data Analysis/person_Cleaned.csv\",inferSchema=True);"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AYE4TfaxsyZ6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "88258b20-b5ee-475f-cd8c-23688e27a482"
      },
      "source": [
        "person.cache()\n",
        "person.printSchema()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "root\n",
            " |-- UNIQUE_ID: integer (nullable = true)\n",
            " |-- COLLISION_ID: integer (nullable = true)\n",
            " |-- CRASH_DATE: string (nullable = true)\n",
            " |-- CRASH_TIME: string (nullable = true)\n",
            " |-- PERSON_ID: string (nullable = true)\n",
            " |-- PERSON_TYPE: string (nullable = true)\n",
            " |-- PERSON_INJURY: string (nullable = true)\n",
            " |-- VEHICLE_ID: integer (nullable = true)\n",
            " |-- PERSON_AGE: integer (nullable = true)\n",
            " |-- EJECTION: string (nullable = true)\n",
            " |-- EMOTIONAL_STATUS: string (nullable = true)\n",
            " |-- BODILY_INJURY: string (nullable = true)\n",
            " |-- POSITION_IN_VEHICLE: string (nullable = true)\n",
            " |-- SAFETY_EQUIPMENT: string (nullable = true)\n",
            " |-- PED_LOCATION: string (nullable = true)\n",
            " |-- PED_ACTION: string (nullable = true)\n",
            " |-- COMPLAINT: string (nullable = true)\n",
            " |-- PED_ROLE: string (nullable = true)\n",
            " |-- CONTRIBUTING_FACTOR_1: string (nullable = true)\n",
            " |-- CONTRIBUTING_FACTOR_2: string (nullable = true)\n",
            " |-- PERSON_SEX: string (nullable = true)\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OWktNSKKrpw1"
      },
      "source": [
        "person.createOrReplaceTempView(\"person\");"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MFFrg839rpm1"
      },
      "source": [
        "age = spark.sql(\"select PERSON_AGE, count(PERSON_AGE) from person where PERSON_AGE not in (0,40) group by PERSON_AGE order by PERSON_AGE\")   "
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "89ECxma8rpb1"
      },
      "source": [
        "#age = person.select(\"PERSON_AGE\").distinct().show(150)"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YRJkyBecYq-3"
      },
      "source": [
        "#age = age.show()"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pdDZ7-h7rpQS",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "cb668342-5f8c-4a02-dcbb-788aec8393db"
      },
      "source": [
        "pip install pyspark_dist_explore"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting pyspark_dist_explore\n",
            "  Downloading https://files.pythonhosted.org/packages/3c/33/2b6c29265413f2b56516caf02b8befbb6a79a1a3516d57bf1b0742a1be40/pyspark_dist_explore-0.1.8-py3-none-any.whl\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (from pyspark_dist_explore) (1.1.5)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.7/dist-packages (from pyspark_dist_explore) (1.4.1)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.7/dist-packages (from pyspark_dist_explore) (3.2.2)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from pyspark_dist_explore) (1.19.5)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.7/dist-packages (from pandas->pyspark_dist_explore) (2018.9)\n",
            "Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas->pyspark_dist_explore) (2.8.1)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->pyspark_dist_explore) (2.4.7)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->pyspark_dist_explore) (1.3.1)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib->pyspark_dist_explore) (0.10.0)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas->pyspark_dist_explore) (1.15.0)\n",
            "Installing collected packages: pyspark-dist-explore\n",
            "Successfully installed pyspark-dist-explore-0.1.8\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m-CiVBfARKmo"
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sD1sgW9ARKco"
      },
      "source": [
        "#pd.DataFrame(age.collect()).plot.bar(x=0,y=1,color=['orange'],figsize=(15,10))"
      ],
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GK7eK5mwRKQw",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 627
        },
        "outputId": "81222a5a-5a58-4d15-f59b-dba45dfce525"
      },
      "source": [
        "df = pd.DataFrame(age.collect())\n",
        "plo=pd.DataFrame({\n",
        "   'Age': df[1].tolist(),\n",
        "   }, index=df[0].tolist())\n",
        "plo.plot(figsize=(10,10),yticks=range(0, 100000, 3000),xticks=range(0,120,5),xlabel=\"Age (in years)\",ylabel=\"Person count\")"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f9b10574790>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XviE_SxRteIC",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c93893d0-1a8e-44ee-d556-77c2041401b3"
      },
      "source": [
        "person.select(\"POSITION_IN_VEHICLE\").distinct().show()"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "+--------------------+\n",
            "| POSITION_IN_VEHICLE|\n",
            "+--------------------+\n",
            "|Riding/Hanging on...|\n",
            "|Front passenger, ...|\n",
            "|Any person in the...|\n",
            "|If one person is ...|\n",
            "|      Does Not Apply|\n",
            "|              Driver|\n",
            "|Right rear passen...|\n",
            "|Middle front seat...|\n",
            "|         Unspecified|\n",
            "|             Unknown|\n",
            "|Left rear passeng...|\n",
            "|Middle rear seat,...|\n",
            "+--------------------+\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bCZPjBhZ3wAZ"
      },
      "source": [
        "position = spark.sql(\"select POSITION_IN_VEHICLE, count(POSITION_IN_VEHICLE) from person where POSITION_IN_VEHICLE not in ('Unspecified') group by POSITION_IN_VEHICLE order by count(POSITION_IN_VEHICLE) desc \")"
      ],
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rpe1JvCu3g-b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "739f587e-0b41-4061-9553-ad748c8e15eb"
      },
      "source": [
        "pd.DataFrame(position.collect()).plot.bar(x=0,y=1,color=['orange'],figsize=(15,10))"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f9b10015290>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MlKJPyhaR3HI"
      },
      "source": [
        "ptype = spark.sql(\"select PERSON_TYPE, count(PERSON_TYPE) from person group by PERSON_TYPE order by PERSON_TYPE \")"
      ],
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yagBZtJeSLg6"
      },
      "source": [
        "#pd.DataFrame(ptype.collect()).plot.bar(x=0,y=1,color=['orange'],figsize=(15,10))"
      ],
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yEOtM7MttQAO"
      },
      "source": [
        "person_type = pd.DataFrame(ptype.collect())"
      ],
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EskMlFn5uE-H"
      },
      "source": [
        "person_type = person_type.set_index(0)"
      ],
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EpVrOGhqWtc1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 609
        },
        "outputId": "5ae1fee4-db6b-4b02-dc0c-468deafe7880"
      },
      "source": [
        "person_type.plot.pie(subplots=True, figsize=(10, 10))"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([<matplotlib.axes._subplots.AxesSubplot object at 0x7f9b0ff65e50>],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2RT5zw_BSLZ8"
      },
      "source": [
        "prole = spark.sql(\"select PED_ROLE, count(PED_ROLE) from person group by PED_ROLE order by count(PED_ROLE) desc\")"
      ],
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XlJzS7lgSLHT",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 699
        },
        "outputId": "94b40823-de93-42b1-ac4d-6acae49a4d92"
      },
      "source": [
        "pd.DataFrame(prole.collect()).plot.bar(x=0,y=1,color=['orange'],figsize=(15,10))"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f9b0ec92690>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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hwAEAAAxCgAMAABiEAAcAADAIAQ4AAGAQAhwAAMAgBDgAAIBBCHAAAACDEOAAAAAGIcABAAAMQoADAAAYhAAHAAAwCAEOAABgEAIcAADAIAQ4AACAQQhwAAAAgxDgAAAABiHAAQAADEKAAwAAGIQABwAAMAgBDgAAYBACHAAAwCAEOAAAgEEIcAAAAIMQ4AAAAAYhwAEAAAxCgAMAABiEAAcAADAIAQ4AAGAQAhwAAMAgBDgAAIBBCHAAAACDEOAAAAAGIcABAAAMQoADAAAYhAAHAAAwCAEOAABgEAIcAADAIAQ4AACAQQhwAAAAgxDgAAAABiHAAQAADEKAAwAAGIQABwAAMAgBDgAAYBACHAAAwCAEOAAAgEEIcAAAAIMQ4AAAAAYhwAEAAAxCgAMAABiEAAcAADAIAQ4AAGAQAhwAAMAgBDgAAIBBCHAAAACD2FSAq6oTquoDVXVeVT1xne2/U1XnzF//VFUfX7Pt8jXbztjO4gEAAA4lh2+0Q1UdluTUJA9MsifJWVV1Rnefu3ef7n7Cmv1/LMld17zEZ7r7LttXMgAAwKFpM1fgjk9yXnef392fT/KiJA87wP4nJXnhdhQHAADAFTYT4G6V5ENrHu+Zx66iqm6bZGeSv1szfGRV7a6qt1bVd+zvL6mqU+b9dl944YWbKAsAAODQst1NTE5M8tLuvnzN2G27e1eSRyX5f6vqdus9sbtP6+5d3b3r6KOP3uayAAAAxreZAHdBkluvebxjHlvPidln+mR3XzD/eX6SN+TK6+MAAADYpM0EuLOSHFtVO6vq+plC2lW6SVbVHZLcNMlb1ozdtKpuMH9/VJJ7JTl33+cCAACwsQ27UHb3ZVX1+CSvTnJYktO7+31V9dQku7t7b5g7McmLurvXPP2OSf6gqr6QKSz++trulQAAAGzehgEuSbr7lUleuc/Yk/d5/IvrPO/NSb7+GtQHAADAbLubmAAAAHCQCHAAAACDEOAAAAAGIcABAAAMQoADAAAYhAAHAAAwCAEOAABgEAIcAADAIAQ4AACAQQhwAAAAgxDgAAAABiHAAQAADEKAAwAAGIQABwAAMAgBDgAAYBACHAAAwCAEOAAAgEEIcAAAAIMQ4AAAAAYhwAEAAAxCgAMAABiEAAcAADAIAQ4AAGAQAhwAAMAgBDgAAIBBCHAAAACDEOAAAAAGIcABAAAMQoADAAAYhAAHAAAwCAEOAABgEAIcAADAIAQ4AACAQQhwAAAAgxDgAAAABnH40gXA0F5QS1ewvkf10hUAAHAQuAIHAAAwCAEOAABgEAIcAADAIAQ4AACAQQhwAAAAgxDgAAAABiHAAQAADEKAAwAAGIQABwAAMAgBDgAAYBACHAAAwCAEOAAAgEEIcAAAAIMQ4AAAAAYhwAEAAAxCgAMAABiEAAcAADAIAQ4AAGAQAhwAAMAgBDgAAIBBCHAAAACDEOAAAAAGIcABAAAMQoADAAAYhAAHAAAwCAEOAABgEAIcAADAIAQ4AACAQQhwAAAAg9hUgKuqE6rqA1V1XlU9cZ3tj6mqC6vqnPnrcWu2Pbqq/nn+evR2Fg8AAHAoOXyjHarqsCSnJnlgkj1JzqqqM7r73H12fXF3P36f594syVOS7ErSSc6en/uxbakeAADgELKZK3DHJzmvu8/v7s8neVGSh23y9b81yWu7++I5tL02yQlXr1QAAIBD22YC3K2SfGjN4z3z2L6+s6reXVUvrapbb/G5AAAAbGC7mpj8VZJjuvsbMl1l++OtvkBVnVJVu6tq94UXXrhNZQEAAFx3bCbAXZDk1mse75jHvqi7L+ruz80Pn5vkGzf73DWvcVp37+ruXUcfffRmagcAADikbCbAnZXk2KraWVXXT3JikjPW7lBVt1zz8KFJ/nH+/tVJHlRVN62qmyZ50DwGAADAFm3YhbK7L6uqx2cKXoclOb2731dVT02yu7vPSPLjVfXQJJcluTjJY+bnXlxVT8sUApPkqd198UH47wAAALjO2zDAJUl3vzLJK/cZe/Ka75+U5En7ee7pSU6/BjUCAACQ7WtiAgAAwEEmwAEAAAxCgAMAABiEAAcAADAIAQ4AAGAQAhwAAMAgBDgAAIBBCHAAAACDEOAAAAAGIcABAAAMQoADAAAYhAAHAAAwCAEOAABgEAIcAADAIAQ4AACAQQhwAAAAgxDgAAAABiHAAQAADEKAAwAAGIQABwAAMAgBDgAAYBACHAAAwCAEOAAAgEEIcAAAAIMQ4AAAAAYhwAEAAAxCgAMAABiEAAcAADAIAQ4AAGAQAhwAAMAgBDgAAIBBCHAAAACDEOAAAAAGIcABAAAMQoADAAAYhAAHAAAwCAEOAABgEAIcAADAIAQ4AACAQQhwAAAAgxDgAAAABiHAAQAADEKAAwAAGIQABwAAMAgBDgAAYBACHAAAwCAEOAAAgEEIcAAAAIMQ4AAAAAYhwAEAAAxCgAMAABiEAAcAADAIAQ4AAGAQAhwAAMAgBDgAAIBBCHAAAACDEOAAAAAGIcABAAAMQoADAAAYhAAHAAAwCAEOAABgEAIcAADAIAQ4AACAQQhwAAAAgxDgAAAABiHAAQAADGJTAa6qTqiqD1TVeVX1xHW2/2RVnVtV766q11XVbddsu7yqzpm/ztjO4gEAAA4lh2+0Q1UdluTUJA9MsifJWVV1Rnefu2a3dybZ1d2frqofSfL0JI+ct32mu++yzXUDAAAccjZzBe74JOd19/nd/fkkL0rysLU7dPfru/vT88O3JtmxvWUCAACwmQB3qyQfWvN4zzy2Pycn+Zs1j4+sqt1V9daq+o79PamqTpn3233hhRduoiwAAIBDy4ZTKLeiqr4vya4k910zfNvuvqCqvjrJ31XVe7r7X/Z9bnefluS0JNm1a1dvZ10AAADXBZu5AndBkluvebxjHruSqvrvSX4+yUO7+3N7x7v7gvnP85O8Icldr0G9AAAAh6zNBLizkhxbVTur6vpJTkxypW6SVXXXJH+QKbx9ZM34TavqBvP3RyW5V5K1zU8AAADYpA2nUHb3ZVX1+CSvTnJYktO7+31V9dQku7v7jCS/meTLkvxZVSXJ/+7uhya5Y5I/qKovZAqLv75P90oAAAA2aVNr4Lr7lUleuc/Yk9d8/9/387w3J/n6a1IgAAAAk03dyBsAAIDlCXAAAACDEOAAAAAGIcABAAAMQoADAAAYhAAHAAAwCAEOAABgEAIcAADAIAQ4AACAQQhwAAAAgzh86QKAQ8gLaukK1veoXroCAIBNcQUOAABgEAIcAADAIAQ4AACAQQhwAAAAgxDgAAAABiHAAQAADEKAAwAAGIQABwAAMAgBDgAAYBACHAAAwCAEOAAAgEEIcAAAAIMQ4AAAAAYhwAEAAAxCgAMAABiEAAcAADAIAQ4AAGAQAhwAAMAgBDgAAIBBCHAAAACDEOAAAAAGIcABAAAMQoADAAAYhAAHAAAwCAEOAABgEAIcAADAIAQ4AACAQQhwAAAAgxDgAAAABiHAAQAADEKAAwAAGIQABwAAMAgBDgAAYBACHAAAwCAEOAAAgEEIcAAAAIMQ4AAAAAYhwAEAAAxCgAMAABiEAAcAADAIAQ4AAGAQhy9dAAD78YJauoL1PaqXrmB93i8ADgGuwAEAAAxCgAMAABiEAAcAADAIAQ4AAGAQAhwAAMAgBDgAAIBBCHAAAACDEOAAAAAGIcABAAAMQoADAAAYxOFLFwAALOAFtXQF63tUL10BwEpzBQ4AAGAQmwpwVXVCVX2gqs6rqieus/0GVfXiefvbquqYNdueNI9/oKq+dftKBwAAOLRsOIWyqg5LcmqSBybZk+Ssqjqju89ds9vJST7W3V9TVScm+Y0kj6yqOyU5Mcmdk3xVkr+tqtt39+Xb/R8CAHDQmHIKrIjNrIE7Psl53X1+klTVi5I8LMnaAPewJL84f//SJM+uqprHX9Tdn0vywao6b369t2xP+QAArByBFw6azQS4WyX50JrHe5J88/726e7LquoTSW4+j791n+fear2/pKpOSXLK/PC/quoDm6jt2nZUko9uyyt974p+sG0v79fWeL+2xvu1Nd6vrfF+bY33a2u8X1vj/dqa7Xu/Dh2r+p7ddr3BlelC2d2nJTlt6ToOpKp2d/eupesYhfdra7xfW+P92hrv19Z4v7bG+7U13q+t8X5tjfdr60Z7zzbTxOSCJLde83jHPLbuPlV1eJKbJLlok88FAABgEzYT4M5KcmxV7ayq62dqSnLGPvuckeTR8/ffleTvurvn8RPnLpU7kxyb5O3bUzoAAMChZcMplPOatscneXWSw5Kc3t3vq6qnJtnd3Wck+cMkfzI3Kbk4U8jLvN9LMjU8uSzJjw7egXKlp3iuIO/X1ni/tsb7tTXer63xfm2N92trvF9b4/3aGu/X1g31ntV0oQwAAIBVt6kbeQMAALA8AQ4AAGAQAhwAAMAgBLgNzN0zNxyDraqq61XVPZeuA2CrquqwqnrC0nVw3TP/bL1+6TpG4nhia+afsfcvXcc1IcBt7M/XGXvptV7FAHzobk13fyHJqUvXMZL5liSPqqqfq6on7/1aui7GV1U/UVU3rskfVtU7qupBS9e1quaO0ictXccoquoRVfXPVfWJqvpkVV1SVZ9cuq5VNP9sfaGqbrJ0LaNwPLE188/YB6rqNkvXcnVteBuBQ1VV3SHJnZPcpKoesWbTjZMcuUxVq627L6+qL1TVTbr7E0vXM4jXVdV3JnlZawm7GX+Z5BNJzk7yuYVrWXnzZ9dvJLlFkpq/urtvvGhhq+mx3f3MqvrWJDdN8v1J/iTJa5Yta6W9qaqeneTFST61d7C737FcSSvr6Uke0t3/uHQhg/ivJO+pqtfmyj9bP75cSSvP8cTW3DTJ+6rq7bnyz9hDlytp89xGYD+q6mFJviPJQ3PlG5dfkuRF3f3mRQpbcVX1l0numsSH7iZU1SVJbpjk8iSfiQPsA6qq93b31y1dxyjme3M6aNyEqnp3d39DVT0zyRu6++VV9c7uvuvSta2q/cy46O5+wLVezIqrqjd1972WrmMUVfXo9ca7+4+v7VpG4Xhia6rqvuuNd/ffX9u1XB0C3Aaq6h7d/Zal6xiFD10Opqo6Lcmzuvs9S9cyAgeNm1dVz0tyqyQ7kxyX5LBMQe4bFy2M64T5xMBXJvmLrJk90N0vW6yoFVdVX5LkNt39gaVr4bqpqm6b5Nju/tuq+tIkh3X3JUvXtRkC3Aaq6ugkP5TkmKyZctrdj12qplXnQ3fzqqqSfG+Snd39tKq6dZJbdvfbFy5tJVXVuUm+JskHMx0E7T3D+A2LFraiHDRuXlVdL8ldkpzf3R+vqpsl2dHd7164tJVVVV+R5FeTfFV3P7iq7pTkHt39hwuXtnLmEwT7ascS66uqhyR5RpLrd/fOqrpLkqeOMr1tCY4ntqaqfijJKUlu1t23q6pjkzynu79l4dI2RYDbQFW9OckbM625uXzveHev19zkkOdDd2uq6veTfCHJA7r7jlV10ySv6e5vWri0lTSfLbuK7v63a7uWETho3LyquleSc7r7U1X1fUnuluSZfrb2r6r+Jsnzkvx8dx9XVYcneWd3f/3CpTG4qjo7yQMyXQW/6zxmCv0BOJ7Ymqo6J8nxSd625mfsPaN8fmlisrEv7e6fXbqIgfxipl+INyRJd59TVV+9ZEEr7pu7+25V9c4k6e6PVdX1ly5qhT0uyZlJ3tzdn9po50Ndd//g0jUM5PeTHFdVxyX5v5M8N8nzk6y7ToIkyVHd/ZKqelKSdPdlVXX5Rk86FFXVjiTPSrJ3SvMbk/xEd+9ZrqqVdml3f2K6qPRFX1iqmEE4ntiaz3X35/f+jM0noIa5quU2Aht7RVV929JFDOTSdTpQ+tDdv0ur6rDMHxrzlF3v1/6dn6l1+e6qentV/dbccIh1VNWRVfWjVfV7VXX63q+l61pRl82d2x6W5NndfWqSGy1c06r7VFXdPFd8ft09U5dYrup5mRqifdX89VfzGOt7X1U9KslhVXVsVT0rieZxB+Z4Ymv+vqp+LsmXVNUDk/xZpt/LIQhwG/uJTCHuM+7dsik+dLfmd5O8PMktqupXkvxDpjUlrKO7n7cbT2oAABqJSURBVDdP/7t/kj9N8t3zn6zvTzKtgfvWJH+fZEemTrpc1SXzlaTvT/LX85q4IxauadX9ZKZQcruqelOmK5Y/tmxJK+vo+fPrsvnrj5IcvXRRK+zHMt3K6XNJXpjkk0n+r0UrWn2OJ7bmiUkuTPKeJD+c5JXd/fPLlrR51sCxreYuPj+fZO8NcF+d5Je7+7PLVbXa5nsOfkumhhyv0/J9/6rquUnulOQ/M01B+ock7+juyxYtbEXtbYO/pkX+EUne2N13X7q2VVNVX5nkUUnO6u43zjd4vV93P3/h0lbaPO3oazN9fn2guy9duKSVVFWvy3TF7YXz0ElJfnCUhgmMwfHE5lXVT3T3MzcaW1UC3CbMC0GPzZobeHf3mctVtLqq6m5u4rp5c6e7fV3iIGh9VfXyTNOPzs10RenM7j5/2apWV1W9vbuPr6ozk/yvJP+R5O3dbV3qOkZuKb2UqrpnrtqlWejdx/yz9awk95iH3pTkx7v7fy9X1eqpqr/KAdYhaYh2YPMUyq/IlX8f/Yyto6re0d1322dsmHt/amKygap6XKZplDuSnJPk7knekqk7Elf1W/OZ7JcmeXF3v3fpglbcO5LcOsnHMp0x+/Ik/1FV/5nkh7r77CWLWzXd/fAkqao7ZpoW+PqqOqy7dyxb2co6bT4B9f9kmur2ZUmevGxJq2ltS+kkt8t0T7jnZDqbzTqq6k8yvVfn5IouzZ1pKiVrzN1MhY+NPWP+8xGZpn/vnSJ/UqaZF+xHVf1Ykqdkep8uz3ybnSRus7NGVZ2UabbFzqo6Y82mGyW5eJmqts4VuA1U1XuSfFOSt3b3XebL07/a3Y9YuLSVNQe470nyyCQ3zhTkfnnZqlZTVf1/SV7a3a+eHz8oyXdmmmrzzO7+5iXrWzVV9e1J/luS+2QKu2/NNCVQYw6ukdFbSi+hqv4xyZ3agcSGqurpSX45yWeSvCrTQfUTutsa3nVU1e7u3rXRGFeoqvMydaK8aOlaVtl8NXxnkl/LtA5ur0uSvHuUJRmuwG3ss9392apKVd2gu99fVV+7dFGrrLv/I8nvVtXrk/xMpjP+Atz67t7dP7T3QXe/pqqe0d0/XFU3WLKwFXVCprVvz+zuf1+6mFVVVd/X3X9aVT+53vbu/u1ru6YBDN1SeiHvzXSV5MNLFzKAB3X3z1TVw5P8a6YrTGdGE6b9uWFVffXeKfJVtTPJDReuadV9KLrAbmi+Gv5vuWI685AEuI3tqaovT/IXSV5bVR/L9D+edcxT2x6Z6SrSRUlenOmeSqzvw1X1s0leND9+ZJL/nOexa/+7j+5+fFV9RZJvqqq7ZVrP9ZGl61pBew90tMHfvH1bSv+vDNRSeiFHJTm3qt6eqVtgEuuU9mNvR9P/keTP1rnHGVf2hCRvqKrzM00FvG2mToHsY82JuvMzvWd/nSv/Pjpht475tifPSnLHJNdPcliST3X3jRctbJNModyCqrpvkpskeVV3f37pelZRVb0lU2h7iSskG6uqozLNWb/3PPSmJL+U6Szabbr7vKVqW0VV9d2Z1ki8IdM/6v8tyU9390uXrGsVzScBfry7f2fpWkYw3zbg5EwddCtTB93nmh64f/O/iVfR3X9/bdey6qrq15I8PNMUyuMzTQF/hWny+zfPQrnD/PD93f25A+1/qKqqpxxgc3f3U6+1YgZSVbuTnJjp/m+7kvxAktt395MWLWyTBLgDmA+A3tfdd9hwZ+Cgq6p3JXng3qtu841K/7a7j1u2stW0twvl0nVw3VRVJ2fqBPvPS9eyyuaTA3dP8v4kn+juy6vqhkluNC85YFZVB+wv0N0vu7ZqGU1VfXd3/9lGY0z2rqnce5udeUwXyuuC+UP2A1V1G21YD6yqXtLd3zM3fVl7VqAynQHSBWkdVXX7JD+Vq7bh1uV0fdfbZ8rkRUmut1QxA3hTVT0701XxT+0ddKuPq6qqeyX5xUxTtQ7PFZ9dbrmwf7dJ8gdVdUySszOt6Xpjd5+zZFGrpru/UFWnrj0w7O5PZc3vJF/0kANs6yQC3P49KdPVpI3GmHy6qq6f5Jy5ydCHM9DxhCtwG5jvn3TXJG/PlQ+AzPFfo6pu2d0fnrv7XMW8aJR9zFeUnpPp4GdvG+64fcD6quo3M3Vv23sz3Edm6hr1s8tVtbrmRkL7aicIrqqq3p9p3c2+v4s6um2gqr4kyQ9lOhl1q+4+bOGSVk5VPSPTLYheZlou26mqHpzk2zJ1/37xmk03ztQl1iyMdczHq/+Zaf3bEzItkTq1u/9l0cI2SYDbgDn+mzdPOf3b7r7/0rWMoqrO7u5vXLqOkVTVdya51/zwjd398iXrWWVru7gdaIykqt5mPdLWVNUvZPpd/LIk70zyD5l+J3Wl3EdVXZKpudDlmdbB7b3CO0TDhGtbVd0k0/rw+8xDf5/kqd2ty+I+quq4JHdJ8hu5ouP3ZZnCyRu6+2NL1bbKqurB3f03+4z9z+5+zlI1bYUAt4Gq+o19z+6vN8akql6X5BE+ZDenqn4xyUeSvDxX7ho1zM0kWV1V9Y7uvts+Y04arKOqfj1TF7KX5cq/i6ab7kdVvSPTgeJfZzrAfotGE2yHqvrzTLep+ON56PuTHOcevFdVVUck+ZUkj8t0i4pkmt78vCQ/192XLlTaSquqNyf5he7+u/nxTyd5QHc/eNnKNkeA28B+DoC+uOCRK6uqv8w05fS1ufKU0x9frKgVVlUfXGfYupv9mBe4/0aSW2Q6g+0s9jqq6g5J7pzk6Ul+es2mG2fq2nnnRQpbYaabXj1VdeNMV+HuneS7k3yku+994Gcdemq6Z8D3JtnZ3U+rqlsnuWV3v33h0lZSVZ3T3XfZaIykqn4n01Xwn+zuS+axG2fq2PyZ7v6JJetbVXMX8Fdk+jfyhEwdT08apcu8Jib7UVU/kuk+QLerqnev2XSjTK3eWd/LYpHxpnX3zqVrGMzTkzyku/9x6UJW3Ncm+fZMrcrXNgW4JNNaJa7q5PWmmy5VzAiq6usy3crjvpnacH8oyRsXLWp1/V6me3s+IMnTkvxXklOTfNOSRa2wz1TVvbv7H5IvNhn6zMI1rapvz9T+/otXZLr7k/Nx7PuTCHDr6O6PVtVDk/xtprXP3zXS+lRX4PZjnn990yS/luSJazZdYnrbgc2t3dPdFy5dy6qrqi9N8pOZ7vl2SlUdm+Rru/sVC5e2kqrqTd19r433JEmq6h7d/Zal6xiB6aZbN0+Zf32m6ZPv7O7/WriklbX352ttm/KqepdboKyvqu6SafrkTTLNtLg4yWO6+12LFraCquqfuvv2W912qJrXo64NP9fPNBW8M9CMHlfg9mNew/WJeZH2f3T356rqfkm+oaqe390fX7bC1TJPD3lKksdnasNaVXVZkme5ieQBPS/TmZ97zo8vyNTyV4Bb3+6qenGSv8iV1ym56ru+h1fV+zKduX5Vpg6eT+juP122rNWxZrrpTfa5B9WNkxy5TFWrraoOT/KrSY7LdKLzEUluXVXPS/Lz1tys69K50VcnXzzR+YVlS1pd860ojpunAqa7P7lwSavs3Kr6ge5+/trBqvq+TFfgWKO7b7R0DdtBgNvYnyfZVVVfk+S0JH+Z5AWZWrZyhSdkWgfxTd39weSL049+v6qe0N2/s2h1q+t23f3IqjopSbr703MYZn03TvLpJA9aM+beQPv3oO7+map6eKbF7Y/IdK8uAe4Kpptu3W9mWk6wc501N8+IKVvr+d1MzapuUVW/kuS7kvzCsiWtnqr6yf2MJ0m6+7ev1YLG8KNJXlZVj810QjiZpjR/SZKHL1bVippvH/Dxvc32qur+Sb4j07+Rp46yBs4Uyg2smfbwM5kWgz5rpDu1X1uq6p1JHtjdH91n/Ogkr/F+rW/ugvQtSd40/5zdLskL3bdlfVV1s32nMFfVzr0nDbiyqnpfd9+5qp6b5KXd/SrTttZnuunmVdU/Z581N/P4YUne393HLlPZapuv9n5LpimBr7OW96qq6ilrHv5wkj9Yu727f+narWgcVfWATLMJkuTc7n7dkvWsqqp6W5KHd/e/z1N1/zbTcqlvSHJpdz9u0QI3yRW4jV06Xx35gVxxdvaIBetZVUfsG96SaR3c3OKW9T0l09S2W1fV/5/pKuZjFq1otf3VfO+WTyZJVd0x05TTr1u2rJX1V/MNqj+T5EfmEyqfXbimlVJVP9PdT0/yqL1XwtfSQXddvd5i/+6+vKqcFV6jqr450+yd2yV5T6ZmOecuW9XqWhvQquo7BLbNm9vh/93SdQzgS7r73+fvvy/J6d39W1V1vSTnLFjXlghwG/vBJP8zya909werameSP1m4plV0oEvOQ1yOXkJ3v3a+l9LdM52V/Yn1gjBf9KuZQsn/yDT17fmZWnOzju5+YlU9Pckn5oPrTyd52NJ1rZgbVNXxSd6V6bPKFOaNWXOzeacm+alMU5cfmuR3knzrohWNw8kADoa1n/EPSPKkJOnuL4y0gsUUSrZFVV2eNfd9W7spyZHd7SrcOubWyOd096fmg5+7JXlmd//bwqWtrKr6jiQ/k2kNznd29z8tXNLK0uV0Y1X1jExNhO6Y5N2ZbhPz5iRv1nF4fVV1q0zrTj+TddbcdPcFS9W2avbtbrpet1PW573iYKiqZya5ZZIPZzqpcvvuvrSqbpnkr7p716IFbpIAtx9V9ZLu/p6qek/WOQvkRt5sh/keg8dlmnv9vCR/mOR7uvu+ixa2YqrqWbny7+G3JPmXTIuOTXPbj7lj59lJfqC7v24OdG92M9yrqqrrZwoh90xyj/nr4919p0ULW2HW3Gysqs7PdAVur2esfayD7pXtc8z1NUnO27sp09Rdx15cI3OjuEdmCnEv2XvCqarumuQW3f3qJevbLAFuP6rqlt394blbzVW4QsJ2WNMk58lJLujuP3TW8aqq6tEH2t7df3xt1TKSqtrd3bvce2pj870/75FpHeo9MnWlfE93/+CihTG0+dYK+9Pd/dhrrZgB7O+Yay/HXjCxBm4/uvvD858+LDiYLqmqJ2VaSHufeRGt6ab7ENCuts9X1ZfkintP3S5r7p9HUlWnZbqKdEmSt2WaPvnb3f2xRQvjOsEJgK1xzAWbc72lC1h1VXVJVX1yn68PVdXL5/ucwTXxyEwH1Cd3938k2ZHpHkuso6ruVVWvrap/qqrzq+qD8xQl1rdvl9PXZVo/yBVuk+QGSf4jyQVJ9iT5+KIVAcABmEK5gap6WqZ/0F+QaQ72iZnaAb8jyY909/2Wq47RVdUNk3x27hB4+yR3SPI33X3pwqWtpLkl/hMyreu6fO94d1+0WFErrqpuniu6nL5Vl9OrmtdE3DnT+rd7ZrotxcVJ3tLdTznQcwEY0zxD5Tbd/YGla9kqAW4D660Xqapzuvsu1pJwTVXV2Un+W5KbZup+d1aSz3e31vjrqKq3dfc3L13HqquqA66h7O53XFu1jKSqdmRaA3fPJN+e5Obd/eXLVgWHnqp6SJK/7u4vLF0L103zz9gzkly/u3fON/V+anc/dOHSNsUauI19uqq+J8lL58fflStuhCv9ck1Vd3+6qk5O8nvd/fSqetfSRa2w11fVb+b/tHfvMZaX9R3H3x92S5DLatcWTPGCIlHKTbElgTRavBsRU9QqZZU0RLMCAkJNTEgVKzGpRqPSFEQXXW+oBAlqmmgQRVtsoVrsuhqVgAhqAigtaCOw+O0fv9/szA4zO8M45zznd+b9Sibn/J5fNvlkc+by/T3P8326FuY793JZkDzMe/vXveg6K36XbgbuSOA/6Zp0CEhyFrMzbw/SHyEAXEZ38LK0YklO2t19u1Au6tXA+5NcSXfQsucLarVdABwDfB2gqm7qz3oeBAu4pZ0CfAD4Z7qC7d+BTf2065ktg2kqJMmxdJ+z0/ox96Yubmb27Vn9a+i+L5/bJs5kqqrjAZJ8Hji6qrb114fT/dLSrIOAK4A3zzSvklbRy/rX/ekeElzbXx9P96DAAm4BVbUpyQbgZOBjSYruqJ3Lq+q+tuk0JR6sqv+dd3j3YCZmXEIpNZTk2XRnAv1bVf1j3xjnHM8121WSc2fe9q8F3AX8a1Xd2ibV5EuyvaoOW2pM0mgl+Qpw6sxDgv7Q4I9V1YvaJpts/R7e1wLnAD+gOxvug1V1UdNgGrwkW+gae70VeAVwFvAHVbW5abBlsoBbQt9Y4mLggP4g3COBE6vqwsbRpDUjyUKNJDYCLwIuqKrPjDnSICS5HPgN8Ml+6BRg36o6uV0qae1J8oOqOnTO9R7A9rljmpXkROBv6Qq2jwNbq+rOJHvTHRp/UMt8Gr7+s3Q+8EK6h8NfBt5ZVb/d7T+cEBZwS0hyHfAW4ENzDsL9XlUd3jaZpkGSP6Zr634Y3X4lAKrKJYHLkGQjcI0Hny8syV7AG4Fn90PfAC4eyi8oaVok+SfgEODyfujVwM1V9aZ2qSZXkq3Alqr6xgL3nldVX20QS5oY7oFb2t5VdcO8NbI7WoXR1PkU8Fm6jnebgVPplgZqGarqV5n3zalZVfXbJJcA/zLENsnStKiqM5P8FbMPUy6tqqtaZppwFwA796T2fQcOqKqfWLxpNfQr7P6Obh/0znpoKA/QLeCWdneSg+k3NiZ5JXN+qEi/p8dW1ZYkZ1fVdcB1SW5sHWookhwP3NM6x6TqlyG9B9gTGFybZGnKfAe4r6quSbJ3kv1syLGoK+iavsx4qB/78zZxNIWuAC4BPsKcc2WHwgJuaWcAlwJPT/Iz4Fa6fSTSapg5sPsXSV4K/Jxub5fmSLKNh3eH2kj3//W68ScajLcz4DbJ0rRI8nrgDXQ/tw4GDqT74/F5LXNNsPVV9cDMRVU9kGTPloE0dXZU1cWtQ6yUBdwSquoW4PlJ9qFr7/5/wGuA25oG07S4MMmjgfOAi4ANwJvbRppIJ8y7LuCXVfWbFmEGZNBtkqUpcgbdw5T/AKiqHyfZv22kiXZXkhOr6gsASV4O3N04k6bLF5OcDlzFrufK/qpdpOWzgFtEf/7IGXRPya4GrumvzwP+m27vkrQifXOJzXQdtg6k26x9fNtUk6uqfGCyMtuT/A2wLskhdG2Sr2+cSVqL7u9nkQBIsh4fpuzOZuBTffOXALfjagutrlP717fMGSvgKQ2yPGJ2oVxEkqvp9tZ8i26Jw/50P0TOrqqbWmbT8CX5LN3yyW8CLwFuq6qz26bStJnXJhm6NskX2oVSGq8k7wb+h64IeRNwOl07/PObBptwSfYFqKpft84iTRILuEUk2VZVR/Tv19E1Lnmif/hoNcz7fK0HbrAVvlbLvBnebXQzvHbPlRrpz307jV3PnPpI+UfYLpJsqqpPJjl3oftV9b5xZ9J0SfLcqro2yUkL3a+qz48700q4hHJxM80lqKqHktxh8aZVNPfztcNO+FplW9l1hvdQ4JymiaQ1rKp+B3y4/9Li9ulf92uaQtPsOcC1wMsWuFfAIAo4Z+AWkeQhYKZBQoBH0TUwCVBVtaFVNg2fny+NkjO80mRI8rmq+utFOulSVUc2iCVpAUleUVVXts6xHBZwkjRlknxnbsE2/1rSeCT5k6r6eZInLXTfBk27SvLB3d2vqrPGlUVrT5KfVtUTW+dYDpdQStL0OSrJvf37AI/qr53hlcbrS8DRdM2DXts6zAB8u3UArWmD2c9iASdJU6aq1rXOIAmAPfujPI5bqGnCUBomjEtVbZ17bRdKjdlgliVawEmSJI3GZuAU4DE8vGnCYBomjFuSw4FPABu7y9wFvK6qtrdNpqFbbD8q3ezbAWOOs2LugZMkSRqhJKdV1ZbWOYYiyfXA+VX1tf76L4F3VdVxTYNp8BbbjzpjKPtSLeAkSZJGYFrOnBq3JN+tqqOWGpNWQ5ITqupLrXM8Ei6hlCRJGo2pOHOqgVuS/D3dMkqATcAtDfNouv0DXcOhwXAGTpIkaYSSPLmqbl1qTJ0kfwi8A/gLukL3m8A7quqepsE0lZL8V1U9s3WOR8ICTpIkaYQWOosxyber6lmtMk2iJHvRNX55KrANuKyqHmybStMuyTFVdUPrHI+ESyglSZJGIMnTgcOAR8/bB7cB2KtNqom2FXiQbsbtJcChwDlNE2lqJTkOOAhY33+vUlUfbxpqmSzgJEmSRuNpwAk8/BiB+4DXN0k02f60qo4ASLIFGNSsiIYjySeAg4GbgIf64QIs4CRJktaqqroauDrJsVX1rdZ5BmDncsmq2pGkZRZNtz+je2AwyL1ke7QOIEmSNOVuT3JVkjv7ryuTPL51qAl0VJJ7+6/7gCNn3ie5t3U4TZXvAY9rHWKlnIGTJEkarY8CnwZe1V9v6sde0CzRBKqqda0zaM34I+D7SW4A7p8ZrKoT20VaPrtQSpIkjdAiB1PfVFXPaJVJWsuSPGeh8aq6btxZVsIZOEmSpNG6O8km4PL++mTglw3zSGvaUAq1xTgDJ0mSNEJJngRcBBxL1+nueuCsqvpp02DSGtPvrVyo+AlQVbVhzJFWxAJOkiRJkgbCJZSSJEkjkORtu7ldVfXOsYWRNDWcgZMkSRqBJOctMLwPcBrw2Krad8yRJE0BCzhJkqQRS7IfcDZd8fY54L1VdWfbVJKGyCWUkiRJI5JkI3AucAqwFTi6qu5pm0rSkFnASZIkjUCS9wAnAZcCR1TVrxtHkjQFXEIpSZI0Akl+B9wP7GDX1uWDalkuabJYwEmSJEnSQOzROoAkSZIkaXks4CRJkiRpICzgJEmSJGkgLOAkSZojyYuT/DDJzUne2jqPJElz2cREkqReknXAj4AXAHcANwInV9X3mwaTJKnnDJwkSbOOAW6uqluq6gHgM8DLG2eSJGknCzhJkmYdCNw+5/qOfkySpIlgASdJkiRJA2EBJ0nSrJ8BT5hz/fh+TJKkiWABJ0nSrBuBQ5I8OcmewGuALzTOJEnSTutbB5AkaVJU1Y4kZwJfBtYBl1XV9saxJEnayWMEJEmSJGkgXEIpSZIkSQNhASdJkiRJA2EBJ0mSJEkDYQEnSZIkSQNhASdJkiRJA2EBJ0mSJEkDYQEnSZIkSQPx/39leZNoEB5MAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Qy45W6zXTcAj"
      },
      "source": [
        "collision = spark.read.option(\"header\",True).csv(\"/content/drive/MyDrive/Data Analysis/collision_cleaned.csv\",inferSchema=True);"
      ],
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HcIXx_pLpGM0"
      },
      "source": [
        "collision.createOrReplaceTempView(\"collision\");"
      ],
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jqMG2xEVTb42"
      },
      "source": [
        "contribute1 = spark.sql(\"Select distinct `CONTRIBUTING FACTOR VEHICLE 1` as c1, count(`CONTRIBUTING FACTOR VEHICLE 1`) as count_c1 from collision where `CONTRIBUTING FACTOR VEHICLE 1` not in ('Unspecified', 'Unknown') group by `CONTRIBUTING FACTOR VEHICLE 1` order by count_c1 desc limit 20\")"
      ],
      "execution_count": 50,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "12E3nHllTbve",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b1c2c80f-9116-420f-e9c1-cf33bec28633"
      },
      "source": [
        "contribute1.show()"
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "+--------------------+--------+\n",
            "|                  c1|count_c1|\n",
            "+--------------------+--------+\n",
            "|Driver Inattentio...|  310750|\n",
            "|Failure to Yield ...|   94412|\n",
            "|Following Too Clo...|   81364|\n",
            "|    Backing Unsafely|   62495|\n",
            "|     Other Vehicular|   50601|\n",
            "|Passing or Lane U...|   41022|\n",
            "| Passing Too Closely|   39122|\n",
            "|  Turning Improperly|   38808|\n",
            "|     Fatigued/Drowsy|   37476|\n",
            "|Unsafe Lane Changing|   30967|\n",
            "|Traffic Control D...|   25212|\n",
            "| Driver Inexperience|   23954|\n",
            "|  Lost Consciousness|   16939|\n",
            "|        Unsafe Speed|   16367|\n",
            "| Alcohol Involvement|   15783|\n",
            "|   Pavement Slippery|   15376|\n",
            "|Reaction to Uninv...|   14727|\n",
            "|Prescription Medi...|   13011|\n",
            "|   Oversized Vehicle|   10273|\n",
            "|View Obstructed/L...|   10255|\n",
            "+--------------------+--------+\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FfX_9vZgTblM",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 773
        },
        "outputId": "5b098eee-1bba-4532-f61d-0d133bd8ae97"
      },
      "source": [
        "pd.DataFrame(contribute1.collect()).plot.bar(x=0,y=1,color=[\"orange\"],figsize=(15,10),label=\"Collision count\",xlabel=\"CONTRIBUTING FACTORS\",ylabel=\"COLLISION COUNT\")"
      ],
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f9b0cad4410>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}