Team_4_TedTalks.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.3"
    },
    "colab": {
      "name": "Team 4_TedTalks.ipynb",
      "provenance": []
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "QsrpCWx_bN5H"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "narM6o-hbN5J"
      },
      "source": [
        "ted = pd.read_csv('/ted.csv')"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": false,
        "id": "Xr8g9reabN5L",
        "outputId": "c1aec6ac-e371-4d2f-9a16-a623a14e4840",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        }
      },
      "source": [
        "ted.head()"
      ],
      "execution_count": 12,
      "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>comments</th>\n",
              "      <th>description</th>\n",
              "      <th>duration</th>\n",
              "      <th>event</th>\n",
              "      <th>film_date</th>\n",
              "      <th>languages</th>\n",
              "      <th>main_speaker</th>\n",
              "      <th>name</th>\n",
              "      <th>num_speaker</th>\n",
              "      <th>published_date</th>\n",
              "      <th>ratings</th>\n",
              "      <th>related_talks</th>\n",
              "      <th>speaker_occupation</th>\n",
              "      <th>tags</th>\n",
              "      <th>title</th>\n",
              "      <th>url</th>\n",
              "      <th>views</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>4553</td>\n",
              "      <td>Sir Ken Robinson makes an entertaining and pro...</td>\n",
              "      <td>1164</td>\n",
              "      <td>TED2006</td>\n",
              "      <td>1140825600</td>\n",
              "      <td>60</td>\n",
              "      <td>Ken Robinson</td>\n",
              "      <td>Ken Robinson: Do schools kill creativity?</td>\n",
              "      <td>1</td>\n",
              "      <td>1151367060</td>\n",
              "      <td>[{'id': 7, 'name': 'Funny', 'count': 19645}, {...</td>\n",
              "      <td>[{'id': 865, 'hero': 'https://pe.tedcdn.com/im...</td>\n",
              "      <td>Author/educator</td>\n",
              "      <td>['children', 'creativity', 'culture', 'dance',...</td>\n",
              "      <td>Do schools kill creativity?</td>\n",
              "      <td>https://www.ted.com/talks/ken_robinson_says_sc...</td>\n",
              "      <td>47227110</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>265</td>\n",
              "      <td>With the same humor and humanity he exuded in ...</td>\n",
              "      <td>977</td>\n",
              "      <td>TED2006</td>\n",
              "      <td>1140825600</td>\n",
              "      <td>43</td>\n",
              "      <td>Al Gore</td>\n",
              "      <td>Al Gore: Averting the climate crisis</td>\n",
              "      <td>1</td>\n",
              "      <td>1151367060</td>\n",
              "      <td>[{'id': 7, 'name': 'Funny', 'count': 544}, {'i...</td>\n",
              "      <td>[{'id': 243, 'hero': 'https://pe.tedcdn.com/im...</td>\n",
              "      <td>Climate advocate</td>\n",
              "      <td>['alternative energy', 'cars', 'climate change...</td>\n",
              "      <td>Averting the climate crisis</td>\n",
              "      <td>https://www.ted.com/talks/al_gore_on_averting_...</td>\n",
              "      <td>3200520</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>124</td>\n",
              "      <td>New York Times columnist David Pogue takes aim...</td>\n",
              "      <td>1286</td>\n",
              "      <td>TED2006</td>\n",
              "      <td>1140739200</td>\n",
              "      <td>26</td>\n",
              "      <td>David Pogue</td>\n",
              "      <td>David Pogue: Simplicity sells</td>\n",
              "      <td>1</td>\n",
              "      <td>1151367060</td>\n",
              "      <td>[{'id': 7, 'name': 'Funny', 'count': 964}, {'i...</td>\n",
              "      <td>[{'id': 1725, 'hero': 'https://pe.tedcdn.com/i...</td>\n",
              "      <td>Technology columnist</td>\n",
              "      <td>['computers', 'entertainment', 'interface desi...</td>\n",
              "      <td>Simplicity sells</td>\n",
              "      <td>https://www.ted.com/talks/david_pogue_says_sim...</td>\n",
              "      <td>1636292</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>200</td>\n",
              "      <td>In an emotionally charged talk, MacArthur-winn...</td>\n",
              "      <td>1116</td>\n",
              "      <td>TED2006</td>\n",
              "      <td>1140912000</td>\n",
              "      <td>35</td>\n",
              "      <td>Majora Carter</td>\n",
              "      <td>Majora Carter: Greening the ghetto</td>\n",
              "      <td>1</td>\n",
              "      <td>1151367060</td>\n",
              "      <td>[{'id': 3, 'name': 'Courageous', 'count': 760}...</td>\n",
              "      <td>[{'id': 1041, 'hero': 'https://pe.tedcdn.com/i...</td>\n",
              "      <td>Activist for environmental justice</td>\n",
              "      <td>['MacArthur grant', 'activism', 'business', 'c...</td>\n",
              "      <td>Greening the ghetto</td>\n",
              "      <td>https://www.ted.com/talks/majora_carter_s_tale...</td>\n",
              "      <td>1697550</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>593</td>\n",
              "      <td>You've never seen data presented like this. Wi...</td>\n",
              "      <td>1190</td>\n",
              "      <td>TED2006</td>\n",
              "      <td>1140566400</td>\n",
              "      <td>48</td>\n",
              "      <td>Hans Rosling</td>\n",
              "      <td>Hans Rosling: The best stats you've ever seen</td>\n",
              "      <td>1</td>\n",
              "      <td>1151440680</td>\n",
              "      <td>[{'id': 9, 'name': 'Ingenious', 'count': 3202}...</td>\n",
              "      <td>[{'id': 2056, 'hero': 'https://pe.tedcdn.com/i...</td>\n",
              "      <td>Global health expert; data visionary</td>\n",
              "      <td>['Africa', 'Asia', 'Google', 'demo', 'economic...</td>\n",
              "      <td>The best stats you've ever seen</td>\n",
              "      <td>https://www.ted.com/talks/hans_rosling_shows_t...</td>\n",
              "      <td>12005869</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   comments  ...     views\n",
              "0      4553  ...  47227110\n",
              "1       265  ...   3200520\n",
              "2       124  ...   1636292\n",
              "3       200  ...   1697550\n",
              "4       593  ...  12005869\n",
              "\n",
              "[5 rows x 17 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JFvi5G0IbN5N",
        "outputId": "b57cfb3c-4e18-4a1a-e7c7-f1f8ed164005",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "ted.shape"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2550, 17)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fC6AwFDAbN5P",
        "outputId": "99825431-7b08-4650-b742-abd3d6e507dc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        }
      },
      "source": [
        "ted.dtypes"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "comments               int64\n",
              "description           object\n",
              "duration               int64\n",
              "event                 object\n",
              "film_date              int64\n",
              "languages              int64\n",
              "main_speaker          object\n",
              "name                  object\n",
              "num_speaker            int64\n",
              "published_date         int64\n",
              "ratings               object\n",
              "related_talks         object\n",
              "speaker_occupation    object\n",
              "tags                  object\n",
              "title                 object\n",
              "url                   object\n",
              "views                  int64\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pFlU6PFDbN5S",
        "outputId": "4f582cdf-d3d0-4cc4-8a10-6d3a0997803c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        }
      },
      "source": [
        "# count the number of missing values in each column\n",
        "ted.isna().sum()"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "comments              0\n",
              "description           0\n",
              "duration              0\n",
              "event                 0\n",
              "film_date             0\n",
              "languages             0\n",
              "main_speaker          0\n",
              "name                  0\n",
              "num_speaker           0\n",
              "published_date        0\n",
              "ratings               0\n",
              "related_talks         0\n",
              "speaker_occupation    6\n",
              "tags                  0\n",
              "title                 0\n",
              "url                   0\n",
              "views                 0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U0TVBmfKbN5V"
      },
      "source": [
        "## 2. Which talks provoke the most online discussion?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QMByXEv3bN5V",
        "outputId": "243df116-5cea-4ed8-8ee7-ee603aac9fbe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 530
        }
      },
      "source": [
        "ted.sort_values('comments').tail()"
      ],
      "execution_count": 16,
      "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>comments</th>\n",
              "      <th>description</th>\n",
              "      <th>duration</th>\n",
              "      <th>event</th>\n",
              "      <th>film_date</th>\n",
              "      <th>languages</th>\n",
              "      <th>main_speaker</th>\n",
              "      <th>name</th>\n",
              "      <th>num_speaker</th>\n",
              "      <th>published_date</th>\n",
              "      <th>ratings</th>\n",
              "      <th>related_talks</th>\n",
              "      <th>speaker_occupation</th>\n",
              "      <th>tags</th>\n",
              "      <th>title</th>\n",
              "      <th>url</th>\n",
              "      <th>views</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1787</th>\n",
              "      <td>2673</td>\n",
              "      <td>Our consciousness is a fundamental aspect of o...</td>\n",
              "      <td>1117</td>\n",
              "      <td>TED2014</td>\n",
              "      <td>1395100800</td>\n",
              "      <td>33</td>\n",
              "      <td>David Chalmers</td>\n",
              "      <td>David Chalmers: How do you explain consciousness?</td>\n",
              "      <td>1</td>\n",
              "      <td>1405350484</td>\n",
              "      <td>[{'id': 25, 'name': 'OK', 'count': 280}, {'id'...</td>\n",
              "      <td>[{'id': 1308, 'hero': 'https://pe.tedcdn.com/i...</td>\n",
              "      <td>Philosopher</td>\n",
              "      <td>['brain', 'consciousness', 'neuroscience', 'ph...</td>\n",
              "      <td>How do you explain consciousness?</td>\n",
              "      <td>https://www.ted.com/talks/david_chalmers_how_d...</td>\n",
              "      <td>2162764</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>201</th>\n",
              "      <td>2877</td>\n",
              "      <td>Jill Bolte Taylor got a research opportunity f...</td>\n",
              "      <td>1099</td>\n",
              "      <td>TED2008</td>\n",
              "      <td>1204070400</td>\n",
              "      <td>49</td>\n",
              "      <td>Jill Bolte Taylor</td>\n",
              "      <td>Jill Bolte Taylor: My stroke of insight</td>\n",
              "      <td>1</td>\n",
              "      <td>1205284200</td>\n",
              "      <td>[{'id': 22, 'name': 'Fascinating', 'count': 14...</td>\n",
              "      <td>[{'id': 184, 'hero': 'https://pe.tedcdn.com/im...</td>\n",
              "      <td>Neuroanatomist</td>\n",
              "      <td>['biology', 'brain', 'consciousness', 'global ...</td>\n",
              "      <td>My stroke of insight</td>\n",
              "      <td>https://www.ted.com/talks/jill_bolte_taylor_s_...</td>\n",
              "      <td>21190883</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>644</th>\n",
              "      <td>3356</td>\n",
              "      <td>Questions of good and evil, right and wrong ar...</td>\n",
              "      <td>1386</td>\n",
              "      <td>TED2010</td>\n",
              "      <td>1265846400</td>\n",
              "      <td>39</td>\n",
              "      <td>Sam Harris</td>\n",
              "      <td>Sam Harris: Science can answer moral questions</td>\n",
              "      <td>1</td>\n",
              "      <td>1269249180</td>\n",
              "      <td>[{'id': 8, 'name': 'Informative', 'count': 923...</td>\n",
              "      <td>[{'id': 666, 'hero': 'https://pe.tedcdn.com/im...</td>\n",
              "      <td>Neuroscientist, philosopher</td>\n",
              "      <td>['culture', 'evolutionary psychology', 'global...</td>\n",
              "      <td>Science can answer moral questions</td>\n",
              "      <td>https://www.ted.com/talks/sam_harris_science_c...</td>\n",
              "      <td>3433437</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>4553</td>\n",
              "      <td>Sir Ken Robinson makes an entertaining and pro...</td>\n",
              "      <td>1164</td>\n",
              "      <td>TED2006</td>\n",
              "      <td>1140825600</td>\n",
              "      <td>60</td>\n",
              "      <td>Ken Robinson</td>\n",
              "      <td>Ken Robinson: Do schools kill creativity?</td>\n",
              "      <td>1</td>\n",
              "      <td>1151367060</td>\n",
              "      <td>[{'id': 7, 'name': 'Funny', 'count': 19645}, {...</td>\n",
              "      <td>[{'id': 865, 'hero': 'https://pe.tedcdn.com/im...</td>\n",
              "      <td>Author/educator</td>\n",
              "      <td>['children', 'creativity', 'culture', 'dance',...</td>\n",
              "      <td>Do schools kill creativity?</td>\n",
              "      <td>https://www.ted.com/talks/ken_robinson_says_sc...</td>\n",
              "      <td>47227110</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>6404</td>\n",
              "      <td>Richard Dawkins urges all atheists to openly s...</td>\n",
              "      <td>1750</td>\n",
              "      <td>TED2002</td>\n",
              "      <td>1012608000</td>\n",
              "      <td>42</td>\n",
              "      <td>Richard Dawkins</td>\n",
              "      <td>Richard Dawkins: Militant atheism</td>\n",
              "      <td>1</td>\n",
              "      <td>1176689220</td>\n",
              "      <td>[{'id': 3, 'name': 'Courageous', 'count': 3236...</td>\n",
              "      <td>[{'id': 86, 'hero': 'https://pe.tedcdn.com/ima...</td>\n",
              "      <td>Evolutionary biologist</td>\n",
              "      <td>['God', 'atheism', 'culture', 'religion', 'sci...</td>\n",
              "      <td>Militant atheism</td>\n",
              "      <td>https://www.ted.com/talks/richard_dawkins_on_m...</td>\n",
              "      <td>4374792</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "      comments  ...     views\n",
              "1787      2673  ...   2162764\n",
              "201       2877  ...  21190883\n",
              "644       3356  ...   3433437\n",
              "0         4553  ...  47227110\n",
              "96        6404  ...   4374792\n",
              "\n",
              "[5 rows x 17 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sH7pJoyHbN5X"
      },
      "source": [
        "# correct for this bias by calculating the number of comments per view\n",
        "ted['comments_per_view'] = ted.comments / ted.views"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WPi1lbshbN5Z",
        "outputId": "4f8bb3b7-0e7e-42ef-df00-fed9cabc5974",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        }
      },
      "source": [
        "ted.sort_values('comments_per_view').tail()"
      ],
      "execution_count": 18,
      "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>comments</th>\n",
              "      <th>description</th>\n",
              "      <th>duration</th>\n",
              "      <th>event</th>\n",
              "      <th>film_date</th>\n",
              "      <th>languages</th>\n",
              "      <th>main_speaker</th>\n",
              "      <th>name</th>\n",
              "      <th>num_speaker</th>\n",
              "      <th>published_date</th>\n",
              "      <th>ratings</th>\n",
              "      <th>related_talks</th>\n",
              "      <th>speaker_occupation</th>\n",
              "      <th>tags</th>\n",
              "      <th>title</th>\n",
              "      <th>url</th>\n",
              "      <th>views</th>\n",
              "      <th>comments_per_view</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>954</th>\n",
              "      <td>2492</td>\n",
              "      <td>Janet Echelman found her true voice as an arti...</td>\n",
              "      <td>566</td>\n",
              "      <td>TED2011</td>\n",
              "      <td>1299110400</td>\n",
              "      <td>35</td>\n",
              "      <td>Janet Echelman</td>\n",
              "      <td>Janet Echelman: Taking imagination seriously</td>\n",
              "      <td>1</td>\n",
              "      <td>1307489760</td>\n",
              "      <td>[{'id': 23, 'name': 'Jaw-dropping', 'count': 3...</td>\n",
              "      <td>[{'id': 453, 'hero': 'https://pe.tedcdn.com/im...</td>\n",
              "      <td>Artist</td>\n",
              "      <td>['art', 'cities', 'culture', 'data', 'design',...</td>\n",
              "      <td>Taking imagination seriously</td>\n",
              "      <td>https://www.ted.com/talks/janet_echelman</td>\n",
              "      <td>1832930</td>\n",
              "      <td>0.001360</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>694</th>\n",
              "      <td>1502</td>\n",
              "      <td>Filmmaker Sharmeen Obaid-Chinoy takes on a ter...</td>\n",
              "      <td>489</td>\n",
              "      <td>TED2010</td>\n",
              "      <td>1265760000</td>\n",
              "      <td>32</td>\n",
              "      <td>Sharmeen Obaid-Chinoy</td>\n",
              "      <td>Sharmeen Obaid-Chinoy: Inside a school for sui...</td>\n",
              "      <td>1</td>\n",
              "      <td>1274865960</td>\n",
              "      <td>[{'id': 23, 'name': 'Jaw-dropping', 'count': 3...</td>\n",
              "      <td>[{'id': 171, 'hero': 'https://pe.tedcdn.com/im...</td>\n",
              "      <td>Filmmaker</td>\n",
              "      <td>['TED Fellows', 'children', 'culture', 'film',...</td>\n",
              "      <td>Inside a school for suicide bombers</td>\n",
              "      <td>https://www.ted.com/talks/sharmeen_obaid_chino...</td>\n",
              "      <td>1057238</td>\n",
              "      <td>0.001421</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>6404</td>\n",
              "      <td>Richard Dawkins urges all atheists to openly s...</td>\n",
              "      <td>1750</td>\n",
              "      <td>TED2002</td>\n",
              "      <td>1012608000</td>\n",
              "      <td>42</td>\n",
              "      <td>Richard Dawkins</td>\n",
              "      <td>Richard Dawkins: Militant atheism</td>\n",
              "      <td>1</td>\n",
              "      <td>1176689220</td>\n",
              "      <td>[{'id': 3, 'name': 'Courageous', 'count': 3236...</td>\n",
              "      <td>[{'id': 86, 'hero': 'https://pe.tedcdn.com/ima...</td>\n",
              "      <td>Evolutionary biologist</td>\n",
              "      <td>['God', 'atheism', 'culture', 'religion', 'sci...</td>\n",
              "      <td>Militant atheism</td>\n",
              "      <td>https://www.ted.com/talks/richard_dawkins_on_m...</td>\n",
              "      <td>4374792</td>\n",
              "      <td>0.001464</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>803</th>\n",
              "      <td>834</td>\n",
              "      <td>David Bismark demos a new system for voting th...</td>\n",
              "      <td>422</td>\n",
              "      <td>TEDGlobal 2010</td>\n",
              "      <td>1279065600</td>\n",
              "      <td>36</td>\n",
              "      <td>David Bismark</td>\n",
              "      <td>David Bismark: E-voting without fraud</td>\n",
              "      <td>1</td>\n",
              "      <td>1288685640</td>\n",
              "      <td>[{'id': 25, 'name': 'OK', 'count': 111}, {'id'...</td>\n",
              "      <td>[{'id': 803, 'hero': 'https://pe.tedcdn.com/im...</td>\n",
              "      <td>Voting system designer</td>\n",
              "      <td>['culture', 'democracy', 'design', 'global iss...</td>\n",
              "      <td>E-voting without fraud</td>\n",
              "      <td>https://www.ted.com/talks/david_bismark_e_voti...</td>\n",
              "      <td>543551</td>\n",
              "      <td>0.001534</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>744</th>\n",
              "      <td>649</td>\n",
              "      <td>Hours before New York lawmakers rejected a key...</td>\n",
              "      <td>453</td>\n",
              "      <td>New York State Senate</td>\n",
              "      <td>1259712000</td>\n",
              "      <td>0</td>\n",
              "      <td>Diane J. Savino</td>\n",
              "      <td>Diane J. Savino: The case for same-sex marriage</td>\n",
              "      <td>1</td>\n",
              "      <td>1282062180</td>\n",
              "      <td>[{'id': 25, 'name': 'OK', 'count': 100}, {'id'...</td>\n",
              "      <td>[{'id': 217, 'hero': 'https://pe.tedcdn.com/im...</td>\n",
              "      <td>Senator</td>\n",
              "      <td>['God', 'LGBT', 'culture', 'government', 'law'...</td>\n",
              "      <td>The case for same-sex marriage</td>\n",
              "      <td>https://www.ted.com/talks/diane_j_savino_the_c...</td>\n",
              "      <td>292395</td>\n",
              "      <td>0.002220</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     comments  ... comments_per_view\n",
              "954      2492  ...          0.001360\n",
              "694      1502  ...          0.001421\n",
              "96       6404  ...          0.001464\n",
              "803       834  ...          0.001534\n",
              "744       649  ...          0.002220\n",
              "\n",
              "[5 rows x 18 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UjmFhoGabN5b"
      },
      "source": [
        "ted['views_per_comment'] = ted.views / ted.comments"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5rpyMicCbN5e",
        "outputId": "11064187-f6ea-43e8-b3ba-9cf4c252b6d0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        }
      },
      "source": [
        "# 1 out of every 450 people leave a comment\n",
        "ted.sort_values('views_per_comment').head()"
      ],
      "execution_count": 20,
      "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>comments</th>\n",
              "      <th>description</th>\n",
              "      <th>duration</th>\n",
              "      <th>event</th>\n",
              "      <th>film_date</th>\n",
              "      <th>languages</th>\n",
              "      <th>main_speaker</th>\n",
              "      <th>name</th>\n",
              "      <th>num_speaker</th>\n",
              "      <th>published_date</th>\n",
              "      <th>ratings</th>\n",
              "      <th>related_talks</th>\n",
              "      <th>speaker_occupation</th>\n",
              "      <th>tags</th>\n",
              "      <th>title</th>\n",
              "      <th>url</th>\n",
              "      <th>views</th>\n",
              "      <th>comments_per_view</th>\n",
              "      <th>views_per_comment</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>744</th>\n",
              "      <td>649</td>\n",
              "      <td>Hours before New York lawmakers rejected a key...</td>\n",
              "      <td>453</td>\n",
              "      <td>New York State Senate</td>\n",
              "      <td>1259712000</td>\n",
              "      <td>0</td>\n",
              "      <td>Diane J. Savino</td>\n",
              "      <td>Diane J. Savino: The case for same-sex marriage</td>\n",
              "      <td>1</td>\n",
              "      <td>1282062180</td>\n",
              "      <td>[{'id': 25, 'name': 'OK', 'count': 100}, {'id'...</td>\n",
              "      <td>[{'id': 217, 'hero': 'https://pe.tedcdn.com/im...</td>\n",
              "      <td>Senator</td>\n",
              "      <td>['God', 'LGBT', 'culture', 'government', 'law'...</td>\n",
              "      <td>The case for same-sex marriage</td>\n",
              "      <td>https://www.ted.com/talks/diane_j_savino_the_c...</td>\n",
              "      <td>292395</td>\n",
              "      <td>0.002220</td>\n",
              "      <td>450.531587</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>803</th>\n",
              "      <td>834</td>\n",
              "      <td>David Bismark demos a new system for voting th...</td>\n",
              "      <td>422</td>\n",
              "      <td>TEDGlobal 2010</td>\n",
              "      <td>1279065600</td>\n",
              "      <td>36</td>\n",
              "      <td>David Bismark</td>\n",
              "      <td>David Bismark: E-voting without fraud</td>\n",
              "      <td>1</td>\n",
              "      <td>1288685640</td>\n",
              "      <td>[{'id': 25, 'name': 'OK', 'count': 111}, {'id'...</td>\n",
              "      <td>[{'id': 803, 'hero': 'https://pe.tedcdn.com/im...</td>\n",
              "      <td>Voting system designer</td>\n",
              "      <td>['culture', 'democracy', 'design', 'global iss...</td>\n",
              "      <td>E-voting without fraud</td>\n",
              "      <td>https://www.ted.com/talks/david_bismark_e_voti...</td>\n",
              "      <td>543551</td>\n",
              "      <td>0.001534</td>\n",
              "      <td>651.739808</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>6404</td>\n",
              "      <td>Richard Dawkins urges all atheists to openly s...</td>\n",
              "      <td>1750</td>\n",
              "      <td>TED2002</td>\n",
              "      <td>1012608000</td>\n",
              "      <td>42</td>\n",
              "      <td>Richard Dawkins</td>\n",
              "      <td>Richard Dawkins: Militant atheism</td>\n",
              "      <td>1</td>\n",
              "      <td>1176689220</td>\n",
              "      <td>[{'id': 3, 'name': 'Courageous', 'count': 3236...</td>\n",
              "      <td>[{'id': 86, 'hero': 'https://pe.tedcdn.com/ima...</td>\n",
              "      <td>Evolutionary biologist</td>\n",
              "      <td>['God', 'atheism', 'culture', 'religion', 'sci...</td>\n",
              "      <td>Militant atheism</td>\n",
              "      <td>https://www.ted.com/talks/richard_dawkins_on_m...</td>\n",
              "      <td>4374792</td>\n",
              "      <td>0.001464</td>\n",
              "      <td>683.134291</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>694</th>\n",
              "      <td>1502</td>\n",
              "      <td>Filmmaker Sharmeen Obaid-Chinoy takes on a ter...</td>\n",
              "      <td>489</td>\n",
              "      <td>TED2010</td>\n",
              "      <td>1265760000</td>\n",
              "      <td>32</td>\n",
              "      <td>Sharmeen Obaid-Chinoy</td>\n",
              "      <td>Sharmeen Obaid-Chinoy: Inside a school for sui...</td>\n",
              "      <td>1</td>\n",
              "      <td>1274865960</td>\n",
              "      <td>[{'id': 23, 'name': 'Jaw-dropping', 'count': 3...</td>\n",
              "      <td>[{'id': 171, 'hero': 'https://pe.tedcdn.com/im...</td>\n",
              "      <td>Filmmaker</td>\n",
              "      <td>['TED Fellows', 'children', 'culture', 'film',...</td>\n",
              "      <td>Inside a school for suicide bombers</td>\n",
              "      <td>https://www.ted.com/talks/sharmeen_obaid_chino...</td>\n",
              "      <td>1057238</td>\n",
              "      <td>0.001421</td>\n",
              "      <td>703.886818</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>954</th>\n",
              "      <td>2492</td>\n",
              "      <td>Janet Echelman found her true voice as an arti...</td>\n",
              "      <td>566</td>\n",
              "      <td>TED2011</td>\n",
              "      <td>1299110400</td>\n",
              "      <td>35</td>\n",
              "      <td>Janet Echelman</td>\n",
              "      <td>Janet Echelman: Taking imagination seriously</td>\n",
              "      <td>1</td>\n",
              "      <td>1307489760</td>\n",
              "      <td>[{'id': 23, 'name': 'Jaw-dropping', 'count': 3...</td>\n",
              "      <td>[{'id': 453, 'hero': 'https://pe.tedcdn.com/im...</td>\n",
              "      <td>Artist</td>\n",
              "      <td>['art', 'cities', 'culture', 'data', 'design',...</td>\n",
              "      <td>Taking imagination seriously</td>\n",
              "      <td>https://www.ted.com/talks/janet_echelman</td>\n",
              "      <td>1832930</td>\n",
              "      <td>0.001360</td>\n",
              "      <td>735.525682</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     comments  ... views_per_comment\n",
              "744       649  ...        450.531587\n",
              "803       834  ...        651.739808\n",
              "96       6404  ...        683.134291\n",
              "694      1502  ...        703.886818\n",
              "954      2492  ...        735.525682\n",
              "\n",
              "[5 rows x 19 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "feGaD7BvbN5g"
      },
      "source": [
        "## 3. Visualize the distribution of comments"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aZ4TlaiAbN5h",
        "outputId": "91c6d8c2-bced-4271-9818-e1ebfa266f4f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        }
      },
      "source": [
        "ted.comments.plot()"
      ],
      "execution_count": 99,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe9a14519b0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 99
        },
        {
          "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": "P5tfQyrNbN5j",
        "outputId": "ff48e974-0500-4033-c605-c4006c0d55fd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        }
      },
      "source": [
        "# histogram shows the frequency distribution of a single variable\n",
        "ted.comments.plot(kind='hist')"
      ],
      "execution_count": 100,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe9a140ee48>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 100
        },
        {
          "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": "L8YO_Z7ibN5l",
        "outputId": "93f2143f-53f1-4d58-ea5a-3e51ccb9f92b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        }
      },
      "source": [
        "ted[ted.comments < 1000].comments.plot(kind='hist')"
      ],
      "execution_count": 101,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe9a1451278>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 101
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYsAAAD4CAYAAAAdIcpQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAASsklEQVR4nO3df7DldX3f8edLVkFIy8/tluzS3jUyWsYkdbsiDk2bQqIIiZAWrY6pW7KT7UxpoyEzcbGZkrbTGZxJRewkjARIwFqDohEKNA6uJJ3+IbioowhSNgqyK8iNIiRqgsR3/zifCyfrLp+zd+/5ce95PmbO3O/38/2c831/7ndnX/f743y/qSokSXo+L5h2AZKk2WdYSJK6DAtJUpdhIUnqMiwkSV3rpl3AOJx00km1sLAw7TIkaVW55557/qyq1h9o2ZoMi4WFBXbv3j3tMiRpVUny8MGWeRhKktRlWEiSugwLSVKXYSFJ6jIsJEldhoUkqcuwkCR1GRaSpC7DQpLUtSa/wX24FnbeNpX1PnT5eVNZryT1uGchSeoyLCRJXYaFJKnLsJAkdRkWkqQuw0KS1GVYSJK6DAtJUpdhIUnqMiwkSV2GhSSpy7CQJHUZFpKkLsNCktRlWEiSusYWFkmuS/J4knuH2k5IckeSB9vP41t7krwvyZ4kX0iyZeg921r/B5NsG1e9kqSDG+eexe8D5+zXthPYVVWnArvaPMDrgVPbawdwFQzCBbgMeDVwOnDZUsBIkiZnbGFRVf8H+NZ+zecD17fp64ELhtpvqIFPA8clORl4HXBHVX2rqp4A7uCHA0iSNGaTPmexoaoebdOPARva9EbgkaF+e1vbwdp/SJIdSXYn2b24uLiyVUvSnJvaCe6qKqBW8POurqqtVbV1/fr1K/WxkiQmHxbfaIeXaD8fb+37gFOG+m1qbQdrlyRN0KTD4hZg6YqmbcDNQ+1va1dFnQE82Q5XfQJ4bZLj24nt17Y2SdIErRvXByf5EPDTwElJ9jK4quly4MNJtgMPA29q3W8HzgX2AN8FLgKoqm8l+S/AZ1q//1xV+580lySN2djCoqrecpBFZx+gbwEXH+RzrgOuW8HSJEmHyG9wS5K6DAtJUpdhIUnqMiwkSV2GhSSpy7CQJHUZFpKkLsNCktRlWEiSugwLSVKXYSFJ6jIsJEldhoUkqcuwkCR1GRaSpC7DQpLUZVhIkroMC0lSl2EhSeoyLCRJXYaFJKnLsJAkdRkWkqQuw0KS1GVYSJK6DAtJUpdhIUnqMiwkSV1TCYskv5rkS0nuTfKhJEcl2ZzkriR7ktyY5EWt75Ftfk9bvjCNmiVpnk08LJJsBH4F2FpVrwCOAN4MvBu4oqpeCjwBbG9v2Q480dqvaP0kSRM0rcNQ64AXJ1kHHA08CpwF3NSWXw9c0KbPb/O05WcnyQRrlaS5N/GwqKp9wG8BX2MQEk8C9wDfrqpnWre9wMY2vRF4pL33mdb/xP0/N8mOJLuT7F5cXBzvICRpzkzjMNTxDPYWNgM/ChwDnHO4n1tVV1fV1qraun79+sP9OEnSkGkchvoZ4KtVtVhV3wc+BpwJHNcOSwFsAva16X3AKQBt+bHANydbsiTNt2mExdeAM5Ic3c49nA3cB9wJXNj6bANubtO3tHna8k9VVU2wXkmae9M4Z3EXgxPVnwW+2Gq4GngncEmSPQzOSVzb3nItcGJrvwTYOemaJWneret3WXlVdRlw2X7NXwFOP0DfvwTeOIm6JEkH5je4JUldhoUkqcuwkCR1GRaSpC7DQpLUZVhIkroMC0lSl2EhSeoyLCRJXYaFJKnLsJAkdRkWkqSuqdxIUAe2sPO2qaz3ocvPm8p6Ja0eI+1ZJPnxcRciSZpdox6G+p0kdyf5t0mOHWtFkqSZM1JYVNVPAW9l8HjTe5L8zyQ/O9bKJEkzY+QT3FX1IPAbDJ5o90+B9yX5cpJ/Pq7iJEmzYdRzFj+R5ArgfuAs4Oer6h+06SvGWJ8kaQaMejXUfweuAd5VVd9baqyqryf5jbFUJkmaGaOGxXnA96rqrwGSvAA4qqq+W1UfGFt1kqSZMOo5i08CLx6aP7q1SZLmwKhhcVRV/cXSTJs+ejwlSZJmzahh8Z0kW5Zmkvwj4HvP01+StIaMes7iHcBHknwdCPB3gX85tqokSTNlpLCoqs8keTnwstb0QFV9f3xlSZJmyaHcSPBVwEJ7z5YkVNUNY6lKkjRTRgqLJB8Afgz4PPDXrbkAw0KS5sCoexZbgdOqqsZZjCRpNo16NdS9DE5qS5Lm0Kh7FicB9yW5G/irpcaqesNyVprkOAa3D3kFg8NZvwQ8ANzI4LzIQ8CbquqJJAGuBM4Fvgv866r67HLWK0lanlHD4jdXeL1XAn9UVRcmeRGDL/i9C9hVVZcn2QnsZHCH29cDp7bXq4Gr2k9J0oSM+jyLP2Hw1/4L2/RngGX9dd8envRPgGvbZz9dVd8Gzgeub92uBy5o0+cDN9TAp4Hjkpy8nHVLkpZn1FuU/zJwE/D+1rQR+Pgy17kZWAR+L8nnklyT5BhgQ1U92vo8BmwYWtcjQ+/f29r2r3FHkt1Jdi8uLi6zNEnSgYx6gvti4EzgKXj2QUh/Z5nrXAdsAa6qqlcC32FwyOlZ7aqrQ7ryqqqurqqtVbV1/fr1yyxNknQgo4bFX1XV00szSdZxiP+ZD9kL7K2qu9r8TQzC4xtLh5faz8fb8n0MHue6ZFNrkyRNyKhh8SdJ3gW8uD17+yPA/1rOCqvqMeCRJEu3DjkbuA+4BdjW2rYBN7fpW4C3ZeAM4Mmhw1WSpAkY9WqoncB24IvAvwFuZ3Dp63L9e+CD7UqorwAXMQiuDyfZDjwMvKn1vZ3BZbN7GFw6e9FhrFeStAyj3kjwB8Dvttdhq6rPM/hW+P7OPkDfYnDORJI0JaPeG+qrHOAcRVW9ZMUrkiTNnEO5N9SSo4A3AiesfDmSpFk06pfyvjn02ldV7wXOG3NtkqQZMephqC1Dsy9gsKdxKM/CkCStYqP+h//fhqafod3ob8WrkSTNpFGvhvpn4y5EkjS7Rj0MdcnzLa+q96xMOZKkWXQoV0O9isG3qQF+HrgbeHAcRUmSZsuoYbEJ2FJVfw6Q5DeB26rqF8dVmCRpdox6b6gNwNND80/z3C3EJUlr3Kh7FjcAdyf5wzZ/Ac89qEiStMaNejXUf03yv4Gfak0XVdXnxleWJGmWjHoYCgbPyX6qqq4E9ibZPKaaJEkzZtTHql4GvBO4tDW9EPgf4ypKkjRbRt2z+AXgDQwegUpVfR34W+MqSpI0W0YNi6eHn4ud5JjxlSRJmjWjhsWHk7wfOC7JLwOfZIUehCRJmn3dq6GSBLgReDnwFPAy4D9W1R1jrk2SNCO6YVFVleT2qvpxwICQpDk06mGozyZ51VgrkSTNrFG/wf1q4BeTPMTgiqgw2On4iXEVJkmaHc8bFkn+XlV9DXjdhOqRJM2g3p7FxxncbfbhJB+tqn8xiaIkSbOld84iQ9MvGWchkqTZ1QuLOsi0JGmO9A5D/WSSpxjsYby4TcNzJ7j/9lirkyTNhOcNi6o6YlKFSJJm16HcolySNKemFhZJjkjyuSS3tvnNSe5KsifJjUle1NqPbPN72vKFadUsSfNqmnsWbwfuH5p/N3BFVb0UeALY3tq3A0+09itaP0nSBE0lLJJsAs4DrmnzAc4CbmpdrmfwnG+A83nued83AWe3/pKkCZnWnsV7gV8HftDmTwS+XVXPtPm9wMY2vRF4BKAtf7L1lyRNyMTDIsnPAY9X1T0r/Lk7kuxOsntxcXElP1qS5t409izOBN7Qbkr4BwwOP13J4MFKS5fybgL2tel9wCkAbfmxwDf3/9CqurqqtlbV1vXr1493BJI0ZyYeFlV1aVVtqqoF4M3Ap6rqrcCdwIWt2zbg5jZ9S5unLf9Ue8SrJGlCZul7Fu8ELkmyh8E5iWtb+7XAia39EmDnlOqTpLk16vMsxqKq/hj44zb9FeD0A/T5S+CNEy1MkvQ3zNKehSRpRhkWkqQuw0KS1GVYSJK6DAtJUpdhIUnqMiwkSV1T/Z6FZsPCztumtu6HLj9vauuWNDr3LCRJXYaFJKnLsJAkdRkWkqQuw0KS1GVYSJK6DAtJUpdhIUnqMiwkSV2GhSSpy7CQJHUZFpKkLsNCktRlWEiSugwLSVKXYSFJ6jIsJEldhoUkqcuwkCR1GRaSpC7DQpLUNfGwSHJKkjuT3JfkS0ne3tpPSHJHkgfbz+Nbe5K8L8meJF9IsmXSNUvSvJvGnsUzwK9V1WnAGcDFSU4DdgK7qupUYFebB3g9cGp77QCumnzJkjTfJh4WVfVoVX22Tf85cD+wETgfuL51ux64oE2fD9xQA58Gjkty8oTLlqS5NtVzFkkWgFcCdwEbqurRtugxYEOb3gg8MvS2va1t/8/akWR3kt2Li4tjq1mS5tHUwiLJjwAfBd5RVU8NL6uqAupQPq+qrq6qrVW1df369StYqSRpKmGR5IUMguKDVfWx1vyNpcNL7efjrX0fcMrQ2ze1NknShEzjaqgA1wL3V9V7hhbdAmxr09uAm4fa39auijoDeHLocJUkaQLWTWGdZwL/Cvhiks+3tncBlwMfTrIdeBh4U1t2O3AusAf4LnDRZMuVJE08LKrq/wI5yOKzD9C/gIvHWpQk6Xn5DW5JUpdhIUnqmsY5C+lZCztvm8p6H7r8vKmsV1qt3LOQJHUZFpKkLsNCktRlWEiSugwLSVKXYSFJ6jIsJEldhoUkqcuwkCR1GRaSpC7DQpLUZVhIkroMC0lSl2EhSeryFuWaS9O6NTp4e3StTu5ZSJK6DAtJUpdhIUnq8pyFNGE+SlarkXsWkqQuw0KS1GVYSJK6DAtJUpcnuKU54RcRdTjcs5AkdblnIWnsvFx49Vs1YZHkHOBK4Ajgmqq6fMolSZpx0zz0Ni3jCshVcRgqyRHAbwOvB04D3pLktOlWJUnzY1WEBXA6sKeqvlJVTwN/AJw/5ZokaW6slsNQG4FHhub3Aq8e7pBkB7Cjzf5FkgeWua6TgD9b5ntXq3kcM8znuOdxzDBH4867n51czpj//sEWrJaw6Kqqq4GrD/dzkuyuqq0rUNKqMY9jhvkc9zyOGeZz3Cs95tVyGGofcMrQ/KbWJkmagNUSFp8BTk2yOcmLgDcDt0y5JkmaG6viMFRVPZPk3wGfYHDp7HVV9aUxre6wD2WtQvM4ZpjPcc/jmGE+x72iY05VreTnSZLWoNVyGEqSNEWGhSSpy7BokpyT5IEke5LsnHY9KynJKUnuTHJfki8leXtrPyHJHUkebD+Pb+1J8r72u/hCki3THcHyJTkiyeeS3NrmNye5q43txnbBBEmObPN72vKFadZ9OJIcl+SmJF9Ocn+S16z1bZ3kV9u/7XuTfCjJUWtxWye5LsnjSe4dajvkbZtkW+v/YJJto6zbsGAubifyDPBrVXUacAZwcRvfTmBXVZ0K7GrzMPg9nNpeO4CrJl/yink7cP/Q/LuBK6rqpcATwPbWvh14orVf0fqtVlcCf1RVLwd+ksH41+y2TrIR+BVga1W9gsFFMG9mbW7r3wfO2a/tkLZtkhOAyxh8sfl04LKlgHleVTX3L+A1wCeG5i8FLp12XWMc783AzwIPACe3tpOBB9r0+4G3DPV/tt9qejH4Ps4u4CzgViAMvtG6bv/tzuBKu9e06XWtX6Y9hmWM+Vjgq/vXvpa3Nc/d4eGEtu1uBV63Vrc1sADcu9xtC7wFeP9Q+9/od7CXexYDB7qdyMYp1TJWbZf7lcBdwIaqerQtegzY0KbXyu/jvcCvAz9o8ycC366qZ9r88LieHXNb/mTrv9psBhaB32uH365JcgxreFtX1T7gt4CvAY8y2Hb3sPa39ZJD3bbL2uaGxRxJ8iPAR4F3VNVTw8tq8CfGmrmOOsnPAY9X1T3TrmXC1gFbgKuq6pXAd3jusASwJrf18QxuLLoZ+FHgGH74UM1cGOe2NSwG1vztRJK8kEFQfLCqPtaav5Hk5Lb8ZODx1r4Wfh9nAm9I8hCDuxSfxeBY/nFJlr6MOjyuZ8fclh8LfHOSBa+QvcDeqrqrzd/EIDzW8rb+GeCrVbVYVd8HPsZg+6/1bb3kULftsra5YTGwpm8nkiTAtcD9VfWeoUW3AEtXQmxjcC5jqf1t7WqKM4Anh3ZzV4WqurSqNlXVAoPt+amqeitwJ3Bh67b/mJd+Fxe2/qvur++qegx4JMnLWtPZwH2s4W3N4PDTGUmObv/Wl8a8prf1kEPdtp8AXpvk+LZX9trW9vymfbJmVl7AucD/A/4U+A/TrmeFx/aPGeyafgH4fHudy+A47S7gQeCTwAmtfxhcHfanwBcZXGUy9XEcxvh/Gri1Tb8EuBvYA3wEOLK1H9Xm97TlL5l23Ycx3n8I7G7b++PA8Wt9WwP/CfgycC/wAeDItbitgQ8xOC/zfQZ7kduXs22BX2rj3wNcNMq6vd2HJKnLw1CSpC7DQpLUZVhIkroMC0lSl2EhSeoyLCRJXYaFJKnr/wOjHLqy66d8rQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CAxiJ3J4bN5m",
        "outputId": "cb2b02cc-6c5b-49c0-a5ac-a19046b46895",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "ted[ted.comments >= 1000].shape"
      ],
      "execution_count": 102,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(32, 24)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 102
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9R06kRhUbN5o",
        "outputId": "b108f0d5-0584-4d84-b1a7-91b3e96466fd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        }
      },
      "source": [
        "ted.query('comments < 1000').comments.plot(kind='hist')"
      ],
      "execution_count": 103,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe9a1353da0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 103
        },
        {
          "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": "6L3JFl7WbN5s",
        "outputId": "d90697e1-07db-4848-c109-f68c61b0aaa7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        }
      },
      "source": [
        "ted.loc[ted.comments < 1000, 'comments'].plot(kind='hist')"
      ],
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe9a1384e48>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 104
        },
        {
          "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": "BdZ2q_8lbN5t",
        "outputId": "1f122f2e-ead8-4f59-a1ce-3ed18a43a874",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        }
      },
      "source": [
        "# increase the number of bins to see more detail\n",
        "ted.loc[ted.comments < 1000, 'comments'].plot(kind='hist', bins=20)"
      ],
      "execution_count": 105,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe9a125a080>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 105
        },
        {
          "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": "TUbYoA_jbN5v",
        "outputId": "064a1497-954c-48af-c278-77b87b471b79",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        }
      },
      "source": [
        "ted.loc[ted.comments < 1000, 'comments'].plot(kind='box')"
      ],
      "execution_count": 106,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe9a12d8be0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 106
        },
        {
          "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": "markdown",
      "metadata": {
        "id": "oQxqsGkqbN5y"
      },
      "source": [
        "## 4. Plot the number of talks that took place each year\n",
        "\n",
        "Bonus exercise: calculate the average delay between filming and publishing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "A3DZroJIbN5y",
        "outputId": "5968fb09-c8ba-4865-ace6-35f94ddab4bd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "ted.event.sample(10)"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1473           TED2013\n",
              "1733           TED2014\n",
              "177            TED2007\n",
              "194            TED2002\n",
              "1375      TEDxWinnipeg\n",
              "1878    TEDGlobal 2014\n",
              "1276    TEDGlobal 2012\n",
              "675            TED2010\n",
              "693            TEDxUSC\n",
              "330            TED2005\n",
              "Name: event, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZtSbhknSbN50",
        "outputId": "566402db-b3a0-4c44-8eca-7b94bf10f33e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        }
      },
      "source": [
        "ted.film_date.head()"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    1140825600\n",
              "1    1140825600\n",
              "2    1140739200\n",
              "3    1140912000\n",
              "4    1140566400\n",
              "Name: film_date, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X9vFSAt-bN52",
        "outputId": "90a000c9-97ab-4691-a5a2-a2ee82a88eb3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        }
      },
      "source": [
        "pd.to_datetime(ted.film_date).head()"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0   1970-01-01 00:00:01.140825600\n",
              "1   1970-01-01 00:00:01.140825600\n",
              "2   1970-01-01 00:00:01.140739200\n",
              "3   1970-01-01 00:00:01.140912000\n",
              "4   1970-01-01 00:00:01.140566400\n",
              "Name: film_date, dtype: datetime64[ns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RBQ2mI5LbN54",
        "outputId": "6937eb7a-410a-4282-b7eb-76612cfec7bc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        }
      },
      "source": [
        "pd.to_datetime(ted.film_date, unit='s').head()"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0   2006-02-25\n",
              "1   2006-02-25\n",
              "2   2006-02-24\n",
              "3   2006-02-26\n",
              "4   2006-02-22\n",
              "Name: film_date, dtype: datetime64[ns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RshUJ1VrbN57"
      },
      "source": [
        "ted['film_datetime'] = pd.to_datetime(ted.film_date, unit='s')"
      ],
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": false,
        "id": "0opPzZFUbN59",
        "outputId": "366c9099-4385-433d-8bf8-6e2d9bb6eecc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "ted[['event', 'film_datetime']].sample(5)"
      ],
      "execution_count": 34,
      "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>event</th>\n",
              "      <th>film_datetime</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>602</th>\n",
              "      <td>TEDMED 2009</td>\n",
              "      <td>2009-10-25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1891</th>\n",
              "      <td>TED@BCG Berlin</td>\n",
              "      <td>2014-11-10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1380</th>\n",
              "      <td>TEDGlobal 2012</td>\n",
              "      <td>2012-06-26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1506</th>\n",
              "      <td>TEDSalon NY2013</td>\n",
              "      <td>2013-04-24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>278</th>\n",
              "      <td>TED2008</td>\n",
              "      <td>2008-02-02</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                event film_datetime\n",
              "602       TEDMED 2009    2009-10-25\n",
              "1891   TED@BCG Berlin    2014-11-10\n",
              "1380   TEDGlobal 2012    2012-06-26\n",
              "1506  TEDSalon NY2013    2013-04-24\n",
              "278           TED2008    2008-02-02"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JeRrG00obN5-",
        "outputId": "379c9b94-8741-4852-9a3c-f355e65111bc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 374
        }
      },
      "source": [
        "ted.dtypes"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "comments                       int64\n",
              "description                   object\n",
              "duration                       int64\n",
              "event                         object\n",
              "film_date                      int64\n",
              "languages                      int64\n",
              "main_speaker                  object\n",
              "name                          object\n",
              "num_speaker                    int64\n",
              "published_date                 int64\n",
              "ratings                       object\n",
              "related_talks                 object\n",
              "speaker_occupation            object\n",
              "tags                          object\n",
              "title                         object\n",
              "url                           object\n",
              "views                          int64\n",
              "comments_per_view            float64\n",
              "views_per_comment            float64\n",
              "film_datetime         datetime64[ns]\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VMcp3ANwbN6A",
        "outputId": "3c3257a6-0666-4a86-8910-0ef8b2f6c549",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        }
      },
      "source": [
        "ted.film_datetime.dt.year.head()"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    2006\n",
              "1    2006\n",
              "2    2006\n",
              "3    2006\n",
              "4    2006\n",
              "Name: film_datetime, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ApXxT_O7bN6D",
        "outputId": "61702745-75b7-4cb0-cebd-7a5367cc30dc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        }
      },
      "source": [
        "ted.event.str.lower().head()"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    ted2006\n",
              "1    ted2006\n",
              "2    ted2006\n",
              "3    ted2006\n",
              "4    ted2006\n",
              "Name: event, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bjWjF2e-bN6H",
        "outputId": "aede7a31-4865-4cc0-f216-825b60134ec6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        }
      },
      "source": [
        "ted.film_datetime.dt.year.value_counts().plot()"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe9a5995ba8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        },
        {
          "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": "59zwYW5ybN6J",
        "outputId": "10b5f3a7-0ee8-4dbc-80dc-a7648ba78291",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        }
      },
      "source": [
        "ted.film_datetime.dt.year.value_counts().sort_index().plot()"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe9a58f9e80>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        },
        {
          "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": {
        "scrolled": true,
        "id": "ESoIX1bbbN6L",
        "outputId": "a23acf14-67b1-44d2-ea22-3bd9a5e55e5e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "ted.film_datetime.max()"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Timestamp('2017-08-27 00:00:00')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wOBUsDlKbN6O"
      },
      "source": [
        "## 5. What were the \"best\" events in TED history to attend?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GKizGzVjbN6O",
        "outputId": "c6142780-828c-4e3d-f1cc-c2a5c89fa865",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        }
      },
      "source": [
        "# count the number of talks each year\n",
        "ted.event.value_counts().head()"
      ],
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "TED2014    84\n",
              "TED2009    83\n",
              "TED2016    77\n",
              "TED2013    77\n",
              "TED2015    75\n",
              "Name: event, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 107
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7bYkR7OGbN6Q",
        "outputId": "ff27b0ee-e10a-42a7-fe90-4b319385799c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "# use views as quality of talk\n",
        "ted.groupby('event').views.mean().head()"
      ],
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "event\n",
              "AORN Congress                  149818.0\n",
              "Arbejdsglaede Live             971594.0\n",
              "BBC TV                         521974.0\n",
              "Bowery Poetry Club             676741.0\n",
              "Business Innovation Factory    304086.0\n",
              "Name: views, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 108
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QDMbKufvbN6S",
        "outputId": "a5435d39-38c8-4b35-9a0b-45af244f1ab4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        }
      },
      "source": [
        "# find the largest values\n",
        "ted.groupby('event').views.mean().sort_values().tail()"
      ],
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "event\n",
              "TEDxNorrkoping        6569493.0\n",
              "TEDxCreativeCoast     8444981.0\n",
              "TEDxBloomington       9484259.5\n",
              "TEDxHouston          16140250.5\n",
              "TEDxPuget Sound      34309432.0\n",
              "Name: views, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 109
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "s8tNvVY1bN6T",
        "outputId": "4aa5539b-6f1b-4c3d-f6dd-f4c4aae1ab20",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "source": [
        "ted.groupby('event').views.agg(['count', 'mean']).sort_values('mean').tail()"
      ],
      "execution_count": 110,
      "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>count</th>\n",
              "      <th>mean</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>event</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>TEDxNorrkoping</th>\n",
              "      <td>1</td>\n",
              "      <td>6569493.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TEDxCreativeCoast</th>\n",
              "      <td>1</td>\n",
              "      <td>8444981.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TEDxBloomington</th>\n",
              "      <td>2</td>\n",
              "      <td>9484259.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TEDxHouston</th>\n",
              "      <td>2</td>\n",
              "      <td>16140250.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TEDxPuget Sound</th>\n",
              "      <td>1</td>\n",
              "      <td>34309432.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                   count        mean\n",
              "event                               \n",
              "TEDxNorrkoping         1   6569493.0\n",
              "TEDxCreativeCoast      1   8444981.0\n",
              "TEDxBloomington        2   9484259.5\n",
              "TEDxHouston            2  16140250.5\n",
              "TEDxPuget Sound        1  34309432.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n7mWU5DlbN6V",
        "outputId": "5d410c0d-7091-4951-e983-4f412fac41aa",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "source": [
        "# calculate the total views per event\n",
        "ted.groupby('event').views.agg(['count', 'mean', 'sum']).sort_values('sum').tail()"
      ],
      "execution_count": 111,
      "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>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>sum</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>event</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>TED2006</th>\n",
              "      <td>45</td>\n",
              "      <td>3.274345e+06</td>\n",
              "      <td>147345533</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TED2015</th>\n",
              "      <td>75</td>\n",
              "      <td>2.011017e+06</td>\n",
              "      <td>150826305</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TEDGlobal 2013</th>\n",
              "      <td>66</td>\n",
              "      <td>2.584163e+06</td>\n",
              "      <td>170554736</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TED2014</th>\n",
              "      <td>84</td>\n",
              "      <td>2.072874e+06</td>\n",
              "      <td>174121423</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TED2013</th>\n",
              "      <td>77</td>\n",
              "      <td>2.302700e+06</td>\n",
              "      <td>177307937</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                count          mean        sum\n",
              "event                                         \n",
              "TED2006            45  3.274345e+06  147345533\n",
              "TED2015            75  2.011017e+06  150826305\n",
              "TEDGlobal 2013     66  2.584163e+06  170554736\n",
              "TED2014            84  2.072874e+06  174121423\n",
              "TED2013            77  2.302700e+06  177307937"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 111
        }
      ]
    }
  ]
}