updated_columns_to_df (1).ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "updated columns to df.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "gxW3qdxhtebo"
      },
      "source": [
        "#This program adds a column to tell us the source of the real or fake covid19 news post "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gIW5cQ0zwHaE"
      },
      "source": [
        "import pandas as pd \n",
        "import numpy as np "
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "du_aXerpi8_G",
        "outputId": "ea04f00a-ad7b-47ae-86b9-0bd02ad66bb5",
        "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": 412
        }
      },
      "source": [
        "#import the data \n",
        "from google.colab import files\n",
        "uploaded = files.upload() "
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-4262ad03-f67a-49d2-867d-38daf17534e1\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-4262ad03-f67a-49d2-867d-38daf17534e1\">\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 ClaimFakeCOVID-19 copy.csv to ClaimFakeCOVID-19 copy.csv\n",
            "Saving ClaimFakeCOVID-19.csv to ClaimFakeCOVID-19.csv\n",
            "Saving ClaimRealCOVID-19 copy 2.csv to ClaimRealCOVID-19 copy 2.csv\n",
            "Saving ClaimRealCOVID-19 copy.csv to ClaimRealCOVID-19 copy.csv\n",
            "Saving ClaimRealCOVID-19.csv to ClaimRealCOVID-19.csv\n",
            "Saving NewsFakeCOVID-19 copy 2.csv to NewsFakeCOVID-19 copy 2.csv\n",
            "Saving NewsFakeCOVID-19 copy.csv to NewsFakeCOVID-19 copy.csv\n",
            "Saving NewsFakeCOVID-19.csv to NewsFakeCOVID-19.csv\n",
            "Saving NewsRealCOVID-19 copy 2.csv to NewsRealCOVID-19 copy 2.csv\n",
            "Saving NewsRealCOVID-19 copy.csv to NewsRealCOVID-19 copy.csv\n",
            "Saving NewsRealCOVID-19.csv to NewsRealCOVID-19.csv\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_QsG0073pW8e",
        "outputId": "fc2bf9dc-1700-403a-ba94-d0e1580818a3",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#Read the file into a dataframe\n",
        "df = pd.read_csv('ClaimFakeCOVID-19 copy.csv')\n",
        "df = pd.read_csv('ClaimFakeCOVID-19.csv')\n",
        "df = pd.read_csv('ClaimRealCOVID-19 copy 2.csv')\n",
        "df = pd.read_csv('ClaimRealCOVID-19 copy.csv')\n",
        "df = pd.read_csv('ClaimRealCOVID-19.csv')\n",
        "df = pd.read_csv('NewsFakeCOVID-19 copy 2.csv')\n",
        "df = pd.read_csv('NewsFakeCOVID-19 copy.csv')\n",
        "df = pd.read_csv('NewsFakeCOVID-19.csv')\n",
        "df = pd.read_csv('NewsRealCOVID-19 copy 2.csv')\n",
        "df = pd.read_csv('NewsRealCOVID-19 copy.csv')\n",
        "df = pd.read_csv('NewsFakeCOVID-19.csv')\n",
        "\n",
        "\n",
        "#show the data \n",
        "df['news_url']"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0      https://www.facebook.com/photo.php?fbid=551960...\n",
              "1      http://legis.wisconsin.gov/assembly/republican...\n",
              "2      https://www.facebook.com/iAmJessenia/photos/a....\n",
              "3      https://www.facebook.com/kokernagnews/photos/a...\n",
              "4      https://www.facebook.com/photo.php?fbid=102193...\n",
              "                             ...                        \n",
              "567    https://www.facebook.com/SenatorChrisLarson/po...\n",
              "568    https://www.facebook.com/Reuben.Kutit/videos/v...\n",
              "569    https://www.facebook.com/photo.php?fbid=281367...\n",
              "570    https://www.facebook.com/Education4Libs/photos...\n",
              "571    https://www.facebook.com/labella.nadia.7/posts...\n",
              "Name: news_url, Length: 572, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wgpFIeNV6-Rc",
        "outputId": "3c941ca5-5cbe-484e-fe90-fe8ecf3e78d9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        }
      },
      "source": [
        "#Create new columns for just the news source\n",
        "df['news_source']= df[\"news_url\"].str.split('/').str.get(2)\n",
        "df = df[['news_url', 'news_source']]\n",
        "\n",
        "df"
      ],
      "execution_count": 8,
      "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>news_url</th>\n",
              "      <th>news_source</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>https://www.facebook.com/photo.php?fbid=551960...</td>\n",
              "      <td>www.facebook.com</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>http://legis.wisconsin.gov/assembly/republican...</td>\n",
              "      <td>legis.wisconsin.gov</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>https://www.facebook.com/iAmJessenia/photos/a....</td>\n",
              "      <td>www.facebook.com</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>https://www.facebook.com/kokernagnews/photos/a...</td>\n",
              "      <td>www.facebook.com</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>https://www.facebook.com/photo.php?fbid=102193...</td>\n",
              "      <td>www.facebook.com</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>567</th>\n",
              "      <td>https://www.facebook.com/SenatorChrisLarson/po...</td>\n",
              "      <td>www.facebook.com</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>568</th>\n",
              "      <td>https://www.facebook.com/Reuben.Kutit/videos/v...</td>\n",
              "      <td>www.facebook.com</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>569</th>\n",
              "      <td>https://www.facebook.com/photo.php?fbid=281367...</td>\n",
              "      <td>www.facebook.com</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>570</th>\n",
              "      <td>https://www.facebook.com/Education4Libs/photos...</td>\n",
              "      <td>www.facebook.com</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>571</th>\n",
              "      <td>https://www.facebook.com/labella.nadia.7/posts...</td>\n",
              "      <td>www.facebook.com</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>572 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                              news_url          news_source\n",
              "0    https://www.facebook.com/photo.php?fbid=551960...     www.facebook.com\n",
              "1    http://legis.wisconsin.gov/assembly/republican...  legis.wisconsin.gov\n",
              "2    https://www.facebook.com/iAmJessenia/photos/a....     www.facebook.com\n",
              "3    https://www.facebook.com/kokernagnews/photos/a...     www.facebook.com\n",
              "4    https://www.facebook.com/photo.php?fbid=102193...     www.facebook.com\n",
              "..                                                 ...                  ...\n",
              "567  https://www.facebook.com/SenatorChrisLarson/po...     www.facebook.com\n",
              "568  https://www.facebook.com/Reuben.Kutit/videos/v...     www.facebook.com\n",
              "569  https://www.facebook.com/photo.php?fbid=281367...     www.facebook.com\n",
              "570  https://www.facebook.com/Education4Libs/photos...     www.facebook.com\n",
              "571  https://www.facebook.com/labella.nadia.7/posts...     www.facebook.com\n",
              "\n",
              "[572 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GBO3hiXJpFqn",
        "outputId": "220a427a-2243-4f02-a47e-3cccd4f085c8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        }
      },
      "source": [
        "df.to_csv('ClaimFakeCOVID-19 copy.csv')\n",
        "df.to_csv('ClaimFakeCOVID-19.csv')\n",
        "df.to_csv('ClaimRealCOVID-19 copy 2.csv')\n",
        "df.to_csv('ClaimRealCOVID-19 copy.csv')\n",
        "df.to_csv('ClaimRealCOVID-19.csv')\n",
        "df.to_csv('NewsFakeCOVID-19 copy 2.csv')\n",
        "df.to_csv('NewsFakeCOVID-19 copy.csv')\n",
        "df.to_csv('NewsFakeCOVID-19.csv')\n",
        "df.to_csv('NewsRealCOVID-19 copy 2.csv')\n",
        "df.to_csv('NewsRealCOVID-19 copy.csv')\n",
        "df.to_csv('NewsRealCOVID-19.csv')\n",
        "\n",
        "files.download('ClaimFakeCOVID-19 copy.csv')\n",
        "files.download('ClaimFakeCOVID-19.csv')\n",
        "files.download('ClaimRealCOVID-19 copy 2.csv')\n",
        "files.download('ClaimRealCOVID-19 copy.csv')\n",
        "files.download('ClaimRealCOVID-19.csv')\n",
        "files.download('NewsFakeCOVID-19 copy 2.csv')\n",
        "files.download('NewsFakeCOVID-19 copy.csv')\n",
        "files.download('NewsFakeCOVID-19.csv')\n",
        "files.download('NewsRealCOVID-19 copy 2.csv')\n",
        "files.download('NewsRealCOVID-19 copy.csv')\n",
        "files.download('NewsRealCOVID-19.csv')"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
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              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
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            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          "data": {
            "application/javascript": [
              "download(\"download_5c1bbb9c-0717-4e1c-be65-18385d5d5cfe\", \"ClaimFakeCOVID-19 copy.csv\", 62662)"
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            "text/plain": [
              "<IPython.core.display.Javascript object>"
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
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              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
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              "    }\n",
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          "data": {
            "application/javascript": [
              "download(\"download_1144913a-6304-4f76-976c-fd1ec1f44db9\", \"ClaimFakeCOVID-19.csv\", 62662)"
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            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          "data": {
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
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              "      label.textContent = `Downloading \"${filename}\": `;\n",
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              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
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              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
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          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "download(\"download_a031ab03-30f9-46a2-a3fc-3c947e10ec87\", \"ClaimRealCOVID-19 copy 2.csv\", 62662)"
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            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          "data": {
            "application/javascript": [
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              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
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          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "download(\"download_eac10279-a13b-4319-bb34-6f4ed9b4f2ed\", \"ClaimRealCOVID-19 copy.csv\", 62662)"
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            "text/plain": [
              "<IPython.core.display.Javascript object>"
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
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              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "download(\"download_2bd7f702-77b8-479c-a6c0-885023dad8b6\", \"ClaimRealCOVID-19.csv\", 62662)"
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            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          "output_type": "display_data",
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            "application/javascript": [
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              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
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              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
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              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
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            "application/javascript": [
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            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
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              "      const div = document.createElement('div');\n",
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              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
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              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
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              "      div.remove();\n",
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              "  "
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "download(\"download_8c81d3f7-1f60-441c-ae3e-22502d8e9862\", \"NewsFakeCOVID-19 copy.csv\", 62662)"
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            "text/plain": [
              "<IPython.core.display.Javascript object>"
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
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              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
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              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
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              "      div.remove();\n",
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              "  "
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            "text/plain": [
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          "data": {
            "application/javascript": [
              "download(\"download_f09f9ccf-d170-4a1a-87f9-6c743d8ddc7d\", \"NewsFakeCOVID-19.csv\", 62662)"
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          "output_type": "display_data",
          "data": {
            "application/javascript": [
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              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
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              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
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          "data": {
            "application/javascript": [
              "download(\"download_eef6d6ba-9391-4295-a7d2-b15bd0cc3c2e\", \"NewsRealCOVID-19 copy 2.csv\", 62662)"
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            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "download(\"download_a707035b-1736-4349-a5ee-49191167d162\", \"NewsRealCOVID-19 copy.csv\", 62662)"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
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            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          "metadata": {
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        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "download(\"download_ce9f8e4a-86e8-441b-8740-769049c48242\", \"NewsRealCOVID-19.csv\", 62662)"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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}