whatsappchatanalysis (1).ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "whatsappchatanalysis.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "ovihd6v1YU4W",
        "outputId": "5317c4d7-41f4-4400-ff6a-ce46799ac585",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "pip install emoji\n"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting emoji\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/ff/1c/1f1457fe52d0b30cbeebfd578483cedb3e3619108d2d5a21380dfecf8ffd/emoji-0.6.0.tar.gz (51kB)\n",
            "\r\u001b[K     |██████▍                         | 10kB 18.0MB/s eta 0:00:01\r\u001b[K     |████████████▉                   | 20kB 2.1MB/s eta 0:00:01\r\u001b[K     |███████████████████▎            | 30kB 2.7MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▊      | 40kB 2.9MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 51kB 1.8MB/s \n",
            "\u001b[?25hBuilding wheels for collected packages: emoji\n",
            "  Building wheel for emoji (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for emoji: filename=emoji-0.6.0-cp36-none-any.whl size=49716 sha256=c3ebe4b4ccb734c0633483a6c0d5a84c24fc2ca933ebe8361e9cea9242c6defb\n",
            "  Stored in directory: /root/.cache/pip/wheels/46/2c/8b/9dcf5216ca68e14e0320e283692dce8ae321cdc01e73e17796\n",
            "Successfully built emoji\n",
            "Installing collected packages: emoji\n",
            "Successfully installed emoji-0.6.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D4Shy7jyXznX"
      },
      "source": [
        "import re\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import emoji\n",
        "from collections import Counter\n",
        "import matplotlib.pyplot as plt\n",
        "from os import path\n",
        "from PIL import Image\n",
        "from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator\n",
        "% matplotlib inline\n"
      ],
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y4oeQgsyYPFi"
      },
      "source": [
        "def startsWithDateAndTime(s):\n",
        "    pattern = '^([0-9]+)(\\/)([0-9]+)(\\/)([0-9]+), ([0-9]+):([0-9]+)[ ]?(AM|PM|am|pm)? -' \n",
        "    result = re.match(pattern, s)\n",
        "    \n",
        "    if result:\n",
        "        return True\n",
        "    return False\n"
      ],
      "execution_count": 43,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DyDseTNAYBUX"
      },
      "source": [
        "def FindAuthor(s):\n",
        "  s=s.split(\":\")\n",
        "  if len(s)==2:\n",
        "    return True\n",
        "  else:\n",
        "    return False"
      ],
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VAVXJ-ezYnt7"
      },
      "source": [
        "def getDataPoint(line):   \n",
        "    splitLine = line.split(' - ') \n",
        "    dateTime = splitLine[0]\n",
        "    date, time = dateTime.split(', ') \n",
        "    message = ' '.join(splitLine[1:])\n",
        "    if FindAuthor(message): \n",
        "        splitMessage = message.split(': ') \n",
        "        author = splitMessage[0] \n",
        "        message = ' '.join(splitMessage[1:])\n",
        "    else:\n",
        "        author = None\n",
        "    return date, time, author, message"
      ],
      "execution_count": 45,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jHDt1SRfYxTB",
        "outputId": "fdb15c08-11e3-4f1b-bb08-fae3544a72ec",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 110
        }
      },
      "source": [
        "from google.colab import files\n",
        "uploaded = files.upload()\n",
        "data = [] \n",
        "conversation = 'WhatsApp Chat with Insignia Official.txt'\n",
        "with open(conversation, encoding=\"utf-8\") as fp:\n",
        "    fp.readline() \n",
        "    messageBuffer = [] \n",
        "    date, time, author = None, None, None\n",
        "    while True:\n",
        "        line = fp.readline() \n",
        "        if not line: \n",
        "            break\n",
        "        line = line.strip() \n",
        "        if startsWithDateAndTime(line): \n",
        "            if len(messageBuffer)> 0: \n",
        "                data.append([date, time, author, ' '.join(messageBuffer)]) \n",
        "            messageBuffer.clear() \n",
        "            date, time, author, message = getDataPoint(line) \n",
        "            messageBuffer.append(message) \n",
        "        else:\n",
        "            messageBuffer.append(line)"
      ],
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-fc2bf795-38ef-4aa7-bb01-17b1c367d7cb\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-fc2bf795-38ef-4aa7-bb01-17b1c367d7cb\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving WhatsApp Chat with Insignia Official.txt to WhatsApp Chat with Insignia Official (20).txt\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zVbCy63IhPh0",
        "outputId": "b2582b03-342e-40e6-c0e4-17f52551ee59",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 975
        }
      },
      "source": [
        "df = pd.DataFrame(data, columns=['Date', 'Time', 'Author', 'Message']) \n",
        "df[\"Date\"] = pd.to_datetime(df[\"Date\"])\n",
        "df.tail(20)"
      ],
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Date</th>\n",
              "      <th>Time</th>\n",
              "      <th>Author</th>\n",
              "      <th>Message</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>736</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>6:08 PM</td>\n",
              "      <td>Rags</td>\n",
              "      <td>Overall Meet at 7pm for everyone Meeting Link:...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>737</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>6:56 PM</td>\n",
              "      <td>Rags</td>\n",
              "      <td>Meeting started join soom</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>738</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>6:56 PM</td>\n",
              "      <td>Rags</td>\n",
              "      <td>it will be a quick meet</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>739</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>7:58 PM</td>\n",
              "      <td>Rags</td>\n",
              "      <td>&lt;Media omitted&gt;</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>740</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>7:59 PM</td>\n",
              "      <td>Harini Insignia</td>\n",
              "      <td>🎊🎊🎊🎊🥳🥳🥳🥳🥳</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>741</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>7:59 PM</td>\n",
              "      <td>Saairaam Prasad</td>\n",
              "      <td>congrats bro</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>742</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>7:59 PM</td>\n",
              "      <td>Dhanalakshmi Insignia</td>\n",
              "      <td>🥳🥳🥳🥳🥳</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>743</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>7:59 PM</td>\n",
              "      <td>Harini Insignia</td>\n",
              "      <td>&lt;Media omitted&gt;</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>744</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>7:59 PM</td>\n",
              "      <td>+91 96986 79682</td>\n",
              "      <td>🔥🔥🔥</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>745</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>8:00 PM</td>\n",
              "      <td>+91 98655 18585</td>\n",
              "      <td>🥳🥳🥳🔥</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>746</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>8:00 PM</td>\n",
              "      <td>+91 77088 39302</td>\n",
              "      <td>🔥🎉</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>747</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>8:01 PM</td>\n",
              "      <td>Shakti Mama</td>\n",
              "      <td>Wow🔥 congrats🎉</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>748</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>8:01 PM</td>\n",
              "      <td>+91 86829 70421</td>\n",
              "      <td>🔥🔥🔥</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>749</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>8:03 PM</td>\n",
              "      <td>+91 73589 75149</td>\n",
              "      <td>🥳</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>750</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>8:10 PM</td>\n",
              "      <td>Ananth Sai Mech</td>\n",
              "      <td>🔥</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>751</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>8:16 PM</td>\n",
              "      <td>Rags</td>\n",
              "      <td>🔥🔥🤝 Highest line of credits: 24hours straight ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>752</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>8:17 PM</td>\n",
              "      <td>Saairaam Prasad</td>\n",
              "      <td>&lt;Media omitted&gt;</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>753</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>8:20 PM</td>\n",
              "      <td>None</td>\n",
              "      <td>Rags: https://drive.google.com/file/d/1Gg8NmqR...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>754</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>8:20 PM</td>\n",
              "      <td>Rags</td>\n",
              "      <td>&lt;Media omitted&gt;</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>755</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>8:20 PM</td>\n",
              "      <td>Rags</td>\n",
              "      <td>&lt;Media omitted&gt;</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          Date  ...                                            Message\n",
              "736 2020-11-08  ...  Overall Meet at 7pm for everyone Meeting Link:...\n",
              "737 2020-11-08  ...                          Meeting started join soom\n",
              "738 2020-11-08  ...                            it will be a quick meet\n",
              "739 2020-11-08  ...                                    <Media omitted>\n",
              "740 2020-11-08  ...                                          🎊🎊🎊🎊🥳🥳🥳🥳🥳\n",
              "741 2020-11-08  ...                                       congrats bro\n",
              "742 2020-11-08  ...                                              🥳🥳🥳🥳🥳\n",
              "743 2020-11-08  ...                                    <Media omitted>\n",
              "744 2020-11-08  ...                                                🔥🔥🔥\n",
              "745 2020-11-08  ...                                               🥳🥳🥳🔥\n",
              "746 2020-11-08  ...                                                 🔥🎉\n",
              "747 2020-11-08  ...                                     Wow🔥 congrats🎉\n",
              "748 2020-11-08  ...                                                🔥🔥🔥\n",
              "749 2020-11-08  ...                                                  🥳\n",
              "750 2020-11-08  ...                                                  🔥\n",
              "751 2020-11-08  ...  🔥🔥🤝 Highest line of credits: 24hours straight ...\n",
              "752 2020-11-08  ...                                    <Media omitted>\n",
              "753 2020-11-08  ...  Rags: https://drive.google.com/file/d/1Gg8NmqR...\n",
              "754 2020-11-08  ...                                    <Media omitted>\n",
              "755 2020-11-08  ...                                    <Media omitted>\n",
              "\n",
              "[20 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gJc-wX8toWdW",
        "outputId": "93ee9f75-b82c-4961-8277-d5c265f3d546",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "df.Author.unique()"
      ],
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([None, 'Sivam Anna', 'Faheem', 'Saairaam Prasad', 'Rags',\n",
              "       'Ananth Sai Mech', 'Keerthana Insignia', 'Shivani',\n",
              "       'Yedhu Anna Cse B', 'Harini Insignia', 'Dhanalakshmi Insignia',\n",
              "       '+91 7397 488 287', '+91 96986 79682', '+91 6369 270 850',\n",
              "       '+91 6385 783 254', 'Shakti Mama', 'Anand Galgi Bro',\n",
              "       '+91 73589 75149', '+91 98655 18585', '+91 94413 86211',\n",
              "       '+91 77088 39302', 'Guru Eec', '+91 86829 70421'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sFOUo8xJoium",
        "outputId": "4ec46df6-6c08-42dd-be4b-083d15b8cd40",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        }
      },
      "source": [
        "author_value_counts = df['Author'].value_counts() \n",
        "top_10_author_value_counts = author_value_counts.head(10) \n",
        "top_10_author_value_counts.plot.barh()"
      ],
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7efc34f9e908>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 65
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IM1fk1gwozEu",
        "outputId": "2e732245-ef4e-41d0-d14a-43efb513834d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 382
        }
      },
      "source": [
        "media_messages_df = df[df['Message'] == '<Media omitted>']\n",
        "print(media_messages_df.head())\n",
        "\n",
        "author_media_messages_value_counts = media_messages_df['Author'].value_counts()\n",
        "top_10_author_media_messages_value_counts = author_media_messages_value_counts.head(10)\n",
        "top_10_author_media_messages_value_counts.plot.barh()"
      ],
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "          Date      Time           Author          Message\n",
            "38  2020-02-12   9:52 PM           Faheem  <Media omitted>\n",
            "59  2020-02-12  10:53 PM           Faheem  <Media omitted>\n",
            "69  2020-02-14   9:41 PM             Rags  <Media omitted>\n",
            "92  2020-07-18  10:23 PM       Sivam Anna  <Media omitted>\n",
            "141 2020-09-25   3:08 PM  Saairaam Prasad  <Media omitted>\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7efc29ea8198>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 69
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PPlzFzuOtEKK"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "--ky0kmvtCFL",
        "outputId": "2e88eb8f-d062-4f3c-ca30-dfa1884e4c48",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        }
      },
      "source": [
        "\n",
        "null_authors_df = df[df['Author'].isnull()]\n",
        "null_authors_df.head()"
      ],
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Date</th>\n",
              "      <th>Time</th>\n",
              "      <th>Author</th>\n",
              "      <th>Message</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>6:13 PM</td>\n",
              "      <td>None</td>\n",
              "      <td>Sivam Anna created group \"Official Marketing T...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>6:13 PM</td>\n",
              "      <td>None</td>\n",
              "      <td>Sivam Anna added you</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>6:15 PM</td>\n",
              "      <td>None</td>\n",
              "      <td>Sivam Anna changed the group description</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>6:13 PM</td>\n",
              "      <td>None</td>\n",
              "      <td>Sivam Anna changed this group's icon</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>6:16 PM</td>\n",
              "      <td>None</td>\n",
              "      <td>Sivam Anna changed the group description</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        Date     Time Author                                            Message\n",
              "0 2020-02-12  6:13 PM   None  Sivam Anna created group \"Official Marketing T...\n",
              "1 2020-02-12  6:13 PM   None                               Sivam Anna added you\n",
              "2 2020-02-12  6:15 PM   None           Sivam Anna changed the group description\n",
              "3 2020-02-12  6:13 PM   None               Sivam Anna changed this group's icon\n",
              "4 2020-02-12  6:16 PM   None           Sivam Anna changed the group description"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cRI8WqEfshJH",
        "outputId": "3204f6b8-078f-455c-dc93-a7c9ddd30eff",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        }
      },
      "source": [
        "messages_df = df.drop(null_authors_df.index) \n",
        "messages_df = messages_df.drop(media_messages_df.index) \n",
        "messages_df.head()"
      ],
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Date</th>\n",
              "      <th>Time</th>\n",
              "      <th>Author</th>\n",
              "      <th>Message</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>6:18 PM</td>\n",
              "      <td>Sivam Anna</td>\n",
              "      <td>Okay.</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>6:18 PM</td>\n",
              "      <td>Sivam Anna</td>\n",
              "      <td>Dear marketing team</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>6:18 PM</td>\n",
              "      <td>Sivam Anna</td>\n",
              "      <td>Let's start with our daily social media activi...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>6:18 PM</td>\n",
              "      <td>Sivam Anna</td>\n",
              "      <td>Lets begin by opening a twitter handle</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>6:19 PM</td>\n",
              "      <td>Sivam Anna</td>\n",
              "      <td>And also by continuously updating on Instagram.</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         Date  ...                                            Message\n",
              "7  2020-02-12  ...                                              Okay.\n",
              "8  2020-02-12  ...                                Dear marketing team\n",
              "9  2020-02-12  ...  Let's start with our daily social media activi...\n",
              "10 2020-02-12  ...             Lets begin by opening a twitter handle\n",
              "11 2020-02-12  ...    And also by continuously updating on Instagram.\n",
              "\n",
              "[5 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3_J2gCYksGsH",
        "outputId": "30273277-800f-479b-ee2a-92aa36559311",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 570
        }
      },
      "source": [
        "messages_df['Letter_Count'] = messages_df['Message'].apply(lambda s : len(s))\n",
        "messages_df['Word_Count'] = messages_df['Message'].apply(lambda s : len(s.split(' ')))\n",
        "messages_df"
      ],
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Date</th>\n",
              "      <th>Time</th>\n",
              "      <th>Author</th>\n",
              "      <th>Message</th>\n",
              "      <th>Letter_Count</th>\n",
              "      <th>Word_Count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>6:18 PM</td>\n",
              "      <td>Sivam Anna</td>\n",
              "      <td>Okay.</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>6:18 PM</td>\n",
              "      <td>Sivam Anna</td>\n",
              "      <td>Dear marketing team</td>\n",
              "      <td>19</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>6:18 PM</td>\n",
              "      <td>Sivam Anna</td>\n",
              "      <td>Let's start with our daily social media activi...</td>\n",
              "      <td>50</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>6:18 PM</td>\n",
              "      <td>Sivam Anna</td>\n",
              "      <td>Lets begin by opening a twitter handle</td>\n",
              "      <td>38</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>2020-02-12</td>\n",
              "      <td>6:19 PM</td>\n",
              "      <td>Sivam Anna</td>\n",
              "      <td>And also by continuously updating on Instagram.</td>\n",
              "      <td>47</td>\n",
              "      <td>7</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>747</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>8:01 PM</td>\n",
              "      <td>Shakti Mama</td>\n",
              "      <td>Wow🔥 congrats🎉</td>\n",
              "      <td>14</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>748</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>8:01 PM</td>\n",
              "      <td>+91 86829 70421</td>\n",
              "      <td>🔥🔥🔥</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>749</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>8:03 PM</td>\n",
              "      <td>+91 73589 75149</td>\n",
              "      <td>🥳</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>750</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>8:10 PM</td>\n",
              "      <td>Ananth Sai Mech</td>\n",
              "      <td>🔥</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>751</th>\n",
              "      <td>2020-11-08</td>\n",
              "      <td>8:16 PM</td>\n",
              "      <td>Rags</td>\n",
              "      <td>🔥🔥🤝 Highest line of credits: 24hours straight ...</td>\n",
              "      <td>223</td>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>553 rows × 6 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "          Date     Time  ... Letter_Count Word_Count\n",
              "7   2020-02-12  6:18 PM  ...            5          1\n",
              "8   2020-02-12  6:18 PM  ...           19          3\n",
              "9   2020-02-12  6:18 PM  ...           50          8\n",
              "10  2020-02-12  6:18 PM  ...           38          7\n",
              "11  2020-02-12  6:19 PM  ...           47          7\n",
              "..         ...      ...  ...          ...        ...\n",
              "747 2020-11-08  8:01 PM  ...           14          2\n",
              "748 2020-11-08  8:01 PM  ...            3          1\n",
              "749 2020-11-08  8:03 PM  ...            1          1\n",
              "750 2020-11-08  8:10 PM  ...            1          1\n",
              "751 2020-11-08  8:16 PM  ...          223         33\n",
              "\n",
              "[553 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 76
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cZgkByMlt0qH",
        "outputId": "4f768afa-e0a0-4934-8da4-8acfcc626ddf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        }
      },
      "source": [
        "total_word_count_grouped_by_author = messages_df[['Author', 'Word_Count']].groupby('Author').sum()\n",
        "sorted_total_word_count_grouped_by_author = total_word_count_grouped_by_author.sort_values('Word_Count', ascending=False)\n",
        "top_10_sorted_total_word_count_grouped_by_author = sorted_total_word_count_grouped_by_author.head(10)\n",
        "top_10_sorted_total_word_count_grouped_by_author.plot.barh()\n",
        "plt.xlabel('Number of Words')\n",
        "plt.ylabel('Authors')"
      ],
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Authors')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 85
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0TYpxMRquh4X",
        "outputId": "d0af3ca1-4319-4a3d-85c5-ae836745593e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        }
      },
      "source": [
        "messages_df['Date'].value_counts().head(10).plot.barh() \n",
        "plt.xlabel('Number of Messages')\n",
        "plt.ylabel('Date')"
      ],
      "execution_count": 86,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Date')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 86
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BEh7772iuuuF",
        "outputId": "7d382fff-8385-460d-b121-04dcc26b168c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        }
      },
      "source": [
        "messages_df['Time'].value_counts().head(10).plot.barh() \n",
        "plt.xlabel('Number of messages')\n",
        "plt.ylabel('Time')"
      ],
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Time')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 87
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "djwvwLgTu1MF",
        "outputId": "751b0f71-d752-4407-f9a2-a4d9285e41a8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        }
      },
      "source": [
        "messages_df['Hour'] = messages_df['Time'].apply(lambda x : x.split(':')[0]) \n",
        "messages_df['Hour'].value_counts().head(10).sort_index(ascending=False).plot.barh()\n",
        "plt.xlabel('Number of messages')\n",
        "plt.ylabel('Hour of Day')"
      ],
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Hour of Day')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 89
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rW6hRS2Vu9XP"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}