Book_Recommender_System.ipynb

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      "metadata": {
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          "text": [
            "Requirement already satisfied: pandas==2.2.1 in /usr/local/lib/python3.10/dist-packages (2.2.1)\n",
            "Requirement already satisfied: numpy<2,>=1.22.4 in /usr/local/lib/python3.10/dist-packages (from pandas==2.2.1) (1.25.2)\n",
            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas==2.2.1) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas==2.2.1) (2023.4)\n",
            "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas==2.2.1) (2024.1)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas==2.2.1) (1.16.0)\n"
          ]
        }
      ],
      "source": [
        "import numpy as np\n",
        "!pip install --upgrade pandas==2.2.1\n",
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Loading Dataset\n",
        "\n",
        "ratings = pd.read_csv('Ratings_RS_Dataset.csv')\n",
        "books = pd.read_csv('Books_RS_Dataset.csv')\n",
        "users = pd.read_csv('Users_RS_Dataset.csv')"
      ],
      "metadata": {
        "id": "SImIkt5mxq4b"
      },
      "execution_count": 50,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "books.head()"
      ],
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        "id": "-Om_71BGxq15",
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          "height": 380
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        "outputId": "b74d82ec-3c29-4f24-8918-aa325a88a662"
      },
      "execution_count": 51,
      "outputs": [
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              "         ISBN                                         Book-Title  \\\n",
              "0  0195153448                                Classical Mythology   \n",
              "1  0002005018                                       Clara Callan   \n",
              "2  0060973129                               Decision in Normandy   \n",
              "3  0374157065  Flu: The Story of the Great Influenza Pandemic...   \n",
              "4  0393045218                             The Mummies of Urumchi   \n",
              "\n",
              "            Book-Author  Year-Of-Publication                   Publisher  \\\n",
              "0    Mark P. O. Morford                 2002     Oxford University Press   \n",
              "1  Richard Bruce Wright                 2001       HarperFlamingo Canada   \n",
              "2          Carlo D'Este                 1991             HarperPerennial   \n",
              "3      Gina Bari Kolata                 1999        Farrar Straus Giroux   \n",
              "4       E. J. W. Barber                 1999  W. W. Norton &amp; Company   \n",
              "\n",
              "                                         Image-URL-S  \\\n",
              "0  http://images.amazon.com/images/P/0195153448.0...   \n",
              "1  http://images.amazon.com/images/P/0002005018.0...   \n",
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              "4  http://images.amazon.com/images/P/0393045218.0...   \n",
              "\n",
              "                                         Image-URL-M  \\\n",
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              "      <td>0195153448</td>\n",
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              "      <td>Oxford University Press</td>\n",
              "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
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              "      <td>Richard Bruce Wright</td>\n",
              "      <td>2001</td>\n",
              "      <td>HarperFlamingo Canada</td>\n",
              "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
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              "      <td>Decision in Normandy</td>\n",
              "      <td>Carlo D'Este</td>\n",
              "      <td>1991</td>\n",
              "      <td>HarperPerennial</td>\n",
              "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0393045218</td>\n",
              "      <td>The Mummies of Urumchi</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "books",
              "summary": "{\n  \"name\": \"books\",\n  \"rows\": 62882,\n  \"fields\": [\n    {\n      \"column\": \"ISBN\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 62882,\n        \"samples\": [\n          \"1578660343\",\n          \"082300791X\",\n          \"0394500792\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Book-Title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 57743,\n        \"samples\": [\n          \"Man Who Loved Christmas (America'S Bravest) (Harlequin Superromance, No. 877)\",\n          \"Guilty Little Secrets\",\n          \"The Moviegoer\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Book-Author\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 28258,\n        \"samples\": [\n          \"Gilbert Hernandez\",\n          \"Patricia Foster\",\n          \"Joni Seager\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Year-Of-Publication\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 261,\n        \"min\": 0,\n        \"max\": 2030,\n        \"num_unique_values\": 83,\n        \"samples\": [\n          1961,\n          2002,\n          1952\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Publisher\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5758,\n        \"samples\": [\n          \"Lectorum Publications Inc\",\n          \"Univ of Georgia Pr\",\n          \"Child &amp; Family Press\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Image-URL-S\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 62855,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/0671551647.01.THUMBZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0141311428.01.THUMBZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0671799584.01.THUMBZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Image-URL-M\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 62855,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/0671551647.01.MZZZZZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0141311428.01.MZZZZZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0671799584.01.MZZZZZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Image-URL-L\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 62854,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/0553572539.01.LZZZZZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0141311428.01.LZZZZZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0671799584.01.LZZZZZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 51
        }
      ]
    },
    {
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      "source": [
        "users.head()"
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        "id": "6uNVH-jL6tfl",
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          "height": 206
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        "outputId": "fbb5959f-6cea-4375-9222-70ac86a54863"
      },
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   User-ID                            Location   Age\n",
              "0        1                  nyc, new york, usa   NaN\n",
              "1        2           stockton, california, usa  18.0\n",
              "2        3     moscow, yukon territory, russia   NaN\n",
              "3        4           porto, v.n.gaia, portugal  17.0\n",
              "4        5  farnborough, hants, united kingdom   NaN"
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              "\n",
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              "      background-color: #3B4455;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      buttonEl.style.display =\n",
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              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-4bf309b6-be06-4849-807f-8cfb9dca9fb0');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    width: 32px;\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
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              "\n",
              "  .colab-df-spinner {\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
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              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
              "      let quickchartButtonEl =\n",
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              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "users"
            }
          },
          "metadata": {},
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ratings.head()"
      ],
      "metadata": {
        "id": "rxE5kmdr6tTr",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "a4b30a70-0ece-4bf5-c2a5-95171bbcdad3"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   User-ID        ISBN  Book-Rating\n",
              "0   276725  034545104X          0.0\n",
              "1   276726  0155061224          5.0\n",
              "2   276727  0446520802          0.0\n",
              "3   276729  052165615X          3.0\n",
              "4   276729  0521795028          6.0"
            ],
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              "      background-color: #3B4455;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-e4b797d3-6daa-45e6-9f54-9b18d1b413c7 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-e4b797d3-6daa-45e6-9f54-9b18d1b413c7');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
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              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
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              "  [theme=dark] .colab-df-quickchart {\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
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              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
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              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
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              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-a2cc5e68-da1e-49f3-9404-7fc18dfbc5ca button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "ratings"
            }
          },
          "metadata": {},
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(books.shape)\n",
        "print(ratings.shape)\n",
        "print(users.shape)"
      ],
      "metadata": {
        "id": "pFyRj3NwxqzE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "5155742c-a9b3-4677-9a09-f0df23834060"
      },
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(62882, 8)\n",
            "(596611, 3)\n",
            "(278858, 3)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "books.info()"
      ],
      "metadata": {
        "id": "TH_qT1QbDiqx",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7920627f-5a94-4874-a653-58cf5bf23c8c"
      },
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 62882 entries, 0 to 62881\n",
            "Data columns (total 8 columns):\n",
            " #   Column               Non-Null Count  Dtype \n",
            "---  ------               --------------  ----- \n",
            " 0   ISBN                 62882 non-null  object\n",
            " 1   Book-Title           62882 non-null  object\n",
            " 2   Book-Author          62882 non-null  object\n",
            " 3   Year-Of-Publication  62882 non-null  int64 \n",
            " 4   Publisher            62882 non-null  object\n",
            " 5   Image-URL-S          62882 non-null  object\n",
            " 6   Image-URL-M          62882 non-null  object\n",
            " 7   Image-URL-L          62881 non-null  object\n",
            "dtypes: int64(1), object(7)\n",
            "memory usage: 3.8+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ratings.info()"
      ],
      "metadata": {
        "id": "OkZy9AdWDnMH",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "624291b8-06ce-4c34-d1e4-4170f6c15bdf"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 596611 entries, 0 to 596610\n",
            "Data columns (total 3 columns):\n",
            " #   Column       Non-Null Count   Dtype  \n",
            "---  ------       --------------   -----  \n",
            " 0   User-ID      596611 non-null  int64  \n",
            " 1   ISBN         596611 non-null  object \n",
            " 2   Book-Rating  596610 non-null  float64\n",
            "dtypes: float64(1), int64(1), object(1)\n",
            "memory usage: 13.7+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "books.isnull().sum()"
      ],
      "metadata": {
        "id": "K_Ss_yaKxqwf",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "db6a7575-4837-4adb-b543-59d91565851d"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ISBN                   0\n",
              "Book-Title             0\n",
              "Book-Author            0\n",
              "Year-Of-Publication    0\n",
              "Publisher              0\n",
              "Image-URL-S            0\n",
              "Image-URL-M            0\n",
              "Image-URL-L            1\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ratings.isnull().sum()"
      ],
      "metadata": {
        "id": "6dVnWA5vxqtW",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "77023fa2-74a9-4be0-9791-5693f756e6c8"
      },
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "User-ID        0\n",
              "ISBN           0\n",
              "Book-Rating    1\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "users.isnull().sum()"
      ],
      "metadata": {
        "id": "MsqBT-Uaxqqk",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "84389056-0e73-4a77-e4ba-1f10379bce45"
      },
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "User-ID          0\n",
              "Location         0\n",
              "Age         110762\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "books.duplicated().sum()"
      ],
      "metadata": {
        "id": "2AgAb79hxqnw",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "cbc383ef-24b3-4613-ff53-a972452e5b88"
      },
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ratings.duplicated().sum()"
      ],
      "metadata": {
        "id": "q8NtSF3wxqk0",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a7673458-f95e-470e-9a0d-244d29061a98"
      },
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "users.duplicated().sum()"
      ],
      "metadata": {
        "id": "peXMPckHxqh7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "26980a70-89c0-4123-8d11-733fc6b6bf4f"
      },
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Popularity Based Recommendation System"
      ],
      "metadata": {
        "id": "H_MENKDrIDif"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "## This popularity based recommendation system picks the top 50 most popular books with average ratings from books receiving over 150 reviews, offering a curated list of widely adored titles for effortless discovery."
      ],
      "metadata": {
        "id": "NNUqWhcrCcBG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# First merge ratings with books using ISBN column\n",
        "\n",
        "ratings_with_name = ratings.merge(books,on='ISBN')\n"
      ],
      "metadata": {
        "id": "ilVdPcoexqZ8"
      },
      "execution_count": 63,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ratings_with_name"
      ],
      "metadata": {
        "id": "f1y_CzdyELDY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 739
        },
        "outputId": "c9e09fbf-5862-4db7-8c9e-dc5663a6c118"
      },
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        User-ID        ISBN  Book-Rating  \\\n",
              "0        276725  034545104X          0.0   \n",
              "1        276727  0446520802          0.0   \n",
              "2        276744  038550120X          7.0   \n",
              "3        276746  0425115801          0.0   \n",
              "4        276746  0449006522          0.0   \n",
              "...         ...         ...          ...   \n",
              "350206   143909  0767902912          8.0   \n",
              "350207   143909  0971394253          0.0   \n",
              "350208   143909  0971880107          0.0   \n",
              "350209   143909  1853260436          0.0   \n",
              "350210   143909  1855681870          7.0   \n",
              "\n",
              "                                      Book-Title      Book-Author  \\\n",
              "0                           Flesh Tones: A Novel       M. J. Rose   \n",
              "1                                   The Notebook  Nicholas Sparks   \n",
              "2                                A Painted House     JOHN GRISHAM   \n",
              "3                                      Lightning   Dean R. Koontz   \n",
              "4                            Manhattan Hunt Club        JOHN SAUL   \n",
              "...                                          ...              ...   \n",
              "350206                            An Equal Music      Vikram Seth   \n",
              "350207               Why Do People Hate America?  Ziauddin Sardar   \n",
              "350208                               Wild Animus     Rich Shapero   \n",
              "350209  Northanger Abbey (Wordsworth Collection)      Jane Austen   \n",
              "350210                         Haunted Yorkshire    W.R. Mitchell   \n",
              "\n",
              "        Year-Of-Publication                        Publisher  \\\n",
              "0                      2002                 Ballantine Books   \n",
              "1                      1996                     Warner Books   \n",
              "2                      2001                        Doubleday   \n",
              "3                      1996         Berkley Publishing Group   \n",
              "4                      2002                 Ballantine Books   \n",
              "...                     ...                              ...   \n",
              "350206                 1999            Bantam Dell Pub Group   \n",
              "350207                 2003       The Disinformation Company   \n",
              "350208                 2004                          Too Far   \n",
              "350209                 1998          Wordsworth Editions Ltd   \n",
              "350210                 2000  Dalesman Publishing Company Ltd   \n",
              "\n",
              "                                              Image-URL-S  \\\n",
              "0       http://images.amazon.com/images/P/034545104X.0...   \n",
              "1       http://images.amazon.com/images/P/0446520802.0...   \n",
              "2       http://images.amazon.com/images/P/038550120X.0...   \n",
              "3       http://images.amazon.com/images/P/0425115801.0...   \n",
              "4       http://images.amazon.com/images/P/0449006522.0...   \n",
              "...                                                   ...   \n",
              "350206  http://images.amazon.com/images/P/0767902912.0...   \n",
              "350207  http://images.amazon.com/images/P/0971394253.0...   \n",
              "350208  http://images.amazon.com/images/P/0971880107.0...   \n",
              "350209  http://images.amazon.com/images/P/1853260436.0...   \n",
              "350210  http://images.amazon.com/images/P/1855681870.0...   \n",
              "\n",
              "                                              Image-URL-M  \\\n",
              "0       http://images.amazon.com/images/P/034545104X.0...   \n",
              "1       http://images.amazon.com/images/P/0446520802.0...   \n",
              "2       http://images.amazon.com/images/P/038550120X.0...   \n",
              "3       http://images.amazon.com/images/P/0425115801.0...   \n",
              "4       http://images.amazon.com/images/P/0449006522.0...   \n",
              "...                                                   ...   \n",
              "350206  http://images.amazon.com/images/P/0767902912.0...   \n",
              "350207  http://images.amazon.com/images/P/0971394253.0...   \n",
              "350208  http://images.amazon.com/images/P/0971880107.0...   \n",
              "350209  http://images.amazon.com/images/P/1853260436.0...   \n",
              "350210  http://images.amazon.com/images/P/1855681870.0...   \n",
              "\n",
              "                                              Image-URL-L  \n",
              "0       http://images.amazon.com/images/P/034545104X.0...  \n",
              "1       http://images.amazon.com/images/P/0446520802.0...  \n",
              "2       http://images.amazon.com/images/P/038550120X.0...  \n",
              "3       http://images.amazon.com/images/P/0425115801.0...  \n",
              "4       http://images.amazon.com/images/P/0449006522.0...  \n",
              "...                                                   ...  \n",
              "350206  http://images.amazon.com/images/P/0767902912.0...  \n",
              "350207  http://images.amazon.com/images/P/0971394253.0...  \n",
              "350208  http://images.amazon.com/images/P/0971880107.0...  \n",
              "350209  http://images.amazon.com/images/P/1853260436.0...  \n",
              "350210  http://images.amazon.com/images/P/1855681870.0...  \n",
              "\n",
              "[350211 rows x 10 columns]"
            ],
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              "\n",
              "  <div id=\"df-0f8d334f-d2c4-48f7-ad49-480cde9e0c5c\" class=\"colab-df-container\">\n",
              "    <div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>User-ID</th>\n",
              "      <th>ISBN</th>\n",
              "      <th>Book-Rating</th>\n",
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              "      <td>Flesh Tones: A Novel</td>\n",
              "      <td>M. J. Rose</td>\n",
              "      <td>2002</td>\n",
              "      <td>Ballantine Books</td>\n",
              "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/034545104X.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>276727</td>\n",
              "      <td>0446520802</td>\n",
              "      <td>0.0</td>\n",
              "      <td>The Notebook</td>\n",
              "      <td>Nicholas Sparks</td>\n",
              "      <td>1996</td>\n",
              "      <td>Warner Books</td>\n",
              "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0446520802.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>276744</td>\n",
              "      <td>038550120X</td>\n",
              "      <td>7.0</td>\n",
              "      <td>A Painted House</td>\n",
              "      <td>JOHN GRISHAM</td>\n",
              "      <td>2001</td>\n",
              "      <td>Doubleday</td>\n",
              "      <td>http://images.amazon.com/images/P/038550120X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/038550120X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/038550120X.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>276746</td>\n",
              "      <td>0425115801</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Lightning</td>\n",
              "      <td>Dean R. Koontz</td>\n",
              "      <td>1996</td>\n",
              "      <td>Berkley Publishing Group</td>\n",
              "      <td>http://images.amazon.com/images/P/0425115801.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0425115801.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0425115801.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>276746</td>\n",
              "      <td>0449006522</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Manhattan Hunt Club</td>\n",
              "      <td>JOHN SAUL</td>\n",
              "      <td>2002</td>\n",
              "      <td>Ballantine Books</td>\n",
              "      <td>http://images.amazon.com/images/P/0449006522.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0449006522.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0449006522.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
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              "    <tr>\n",
              "      <th>350206</th>\n",
              "      <td>143909</td>\n",
              "      <td>0767902912</td>\n",
              "      <td>8.0</td>\n",
              "      <td>An Equal Music</td>\n",
              "      <td>Vikram Seth</td>\n",
              "      <td>1999</td>\n",
              "      <td>Bantam Dell Pub Group</td>\n",
              "      <td>http://images.amazon.com/images/P/0767902912.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0767902912.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0767902912.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>350207</th>\n",
              "      <td>143909</td>\n",
              "      <td>0971394253</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Why Do People Hate America?</td>\n",
              "      <td>Ziauddin Sardar</td>\n",
              "      <td>2003</td>\n",
              "      <td>The Disinformation Company</td>\n",
              "      <td>http://images.amazon.com/images/P/0971394253.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0971394253.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0971394253.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>350208</th>\n",
              "      <td>143909</td>\n",
              "      <td>0971880107</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Wild Animus</td>\n",
              "      <td>Rich Shapero</td>\n",
              "      <td>2004</td>\n",
              "      <td>Too Far</td>\n",
              "      <td>http://images.amazon.com/images/P/0971880107.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0971880107.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0971880107.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>350209</th>\n",
              "      <td>143909</td>\n",
              "      <td>1853260436</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Northanger Abbey (Wordsworth Collection)</td>\n",
              "      <td>Jane Austen</td>\n",
              "      <td>1998</td>\n",
              "      <td>Wordsworth Editions Ltd</td>\n",
              "      <td>http://images.amazon.com/images/P/1853260436.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1853260436.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1853260436.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>350210</th>\n",
              "      <td>143909</td>\n",
              "      <td>1855681870</td>\n",
              "      <td>7.0</td>\n",
              "      <td>Haunted Yorkshire</td>\n",
              "      <td>W.R. Mitchell</td>\n",
              "      <td>2000</td>\n",
              "      <td>Dalesman Publishing Company Ltd</td>\n",
              "      <td>http://images.amazon.com/images/P/1855681870.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1855681870.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1855681870.0...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>350211 rows × 10 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0f8d334f-d2c4-48f7-ad49-480cde9e0c5c')\"\n",
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              "\n",
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              "        document.querySelector('#df-0f8d334f-d2c4-48f7-ad49-480cde9e0c5c button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
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              "        const element = document.querySelector('#df-0f8d334f-d2c4-48f7-ad49-480cde9e0c5c');\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
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              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
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              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
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              "\n",
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              "    border: 2px solid var(--fill-color);\n",
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              "    20% {\n",
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              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-94cacb76-6262-428b-aeec-fc78329890df button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
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              "      .colab-df-generate {\n",
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              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
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              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "ratings_with_name"
            }
          },
          "metadata": {},
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Doing group by on ratings_with_name using Book-Title to count ratings of each book\n",
        "\n",
        "num_rating_df = ratings_with_name.groupby('Book-Title').count()['Book-Rating'].reset_index()\n",
        "num_rating_df.rename(columns={'Book-Rating':'num_ratings'},inplace=True)\n",
        "num_rating_df"
      ],
      "metadata": {
        "id": "Gg8Yte-VEK_-",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "outputId": "e1ab6ca6-ea34-4f44-cec4-78470e3165b1"
      },
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                              Book-Title  num_ratings\n",
              "0       A Light in the Storm: The Civil War Diary of ...            4\n",
              "1       Beyond IBM: Leadership Marketing and Finance ...            1\n",
              "2       Earth Prayers From around the World: 365 Pray...            3\n",
              "3       Final Fantasy Anthology: Official Strategy Gu...            4\n",
              "4                                           It Takes Two            2\n",
              "...                                                  ...          ...\n",
              "56376                   Â¿QuiÃ©n se ha llevado mi queso?            1\n",
              "56377                           Â¿QuÃ© me quieres, amor?            5\n",
              "56378                              Ã?Â?ber die Freiheit.            1\n",
              "56379                                     Ã?Â?bermorgen.            1\n",
              "56380                                  Ã?Â?thique en toc            2\n",
              "\n",
              "[56381 rows x 2 columns]"
            ],
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              "      <td>Earth Prayers From around the World: 365 Pray...</td>\n",
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              "      <th>3</th>\n",
              "      <td>Final Fantasy Anthology: Official Strategy Gu...</td>\n",
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              "      <td>Ã?Â?thique en toc</td>\n",
              "      <td>2</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>56381 rows × 2 columns</p>\n",
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              "\n",
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              "\n",
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              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-2f1d0d4e-3bb5-4aca-b2c2-a109c6c63824 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-2f1d0d4e-3bb5-4aca-b2c2-a109c6c63824');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-86f45a9b-848d-49f9-a0a7-0ecdfbe26e32')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-86f45a9b-848d-49f9-a0a7-0ecdfbe26e32 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_cdf97465-b158-4c25-9ab4-23b4baf7b20a\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('num_rating_df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    </button>\n",
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              "        document.querySelector('#id_cdf97465-b158-4c25-9ab4-23b4baf7b20a button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('num_rating_df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "num_rating_df",
              "summary": "{\n  \"name\": \"num_rating_df\",\n  \"rows\": 56381,\n  \"fields\": [\n    {\n      \"column\": \"Book-Title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 56381,\n        \"samples\": [\n          \"Jane: A novel\",\n          \"Shades of Gray\",\n          \"Child Possessed\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"num_ratings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 17,\n        \"min\": 1,\n        \"max\": 1312,\n        \"num_unique_values\": 235,\n        \"samples\": [\n          59,\n          287,\n          150\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Doing group by on ratings_with_name using Book-Title and calculating mean of ratings\n",
        "\n",
        "avg_rating_df = ratings_with_name.groupby('Book-Title').agg({'Book-Rating': 'mean'}).reset_index()"
      ],
      "metadata": {
        "id": "pzmSzY_bMHNn"
      },
      "execution_count": 66,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Renaming Book-Rating as avg_rating\n",
        "\n",
        "avg_rating_df.rename(columns={'Book-Rating':'avg_rating'},inplace=True)\n",
        "avg_rating_df"
      ],
      "metadata": {
        "id": "If2_hDosEK8o",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "outputId": "bddf0830-8586-4b09-9fe6-1598f09c8daf"
      },
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                              Book-Title  avg_rating\n",
              "0       A Light in the Storm: The Civil War Diary of ...    2.250000\n",
              "1       Beyond IBM: Leadership Marketing and Finance ...    0.000000\n",
              "2       Earth Prayers From around the World: 365 Pray...    8.666667\n",
              "3       Final Fantasy Anthology: Official Strategy Gu...    5.000000\n",
              "4                                           It Takes Two    0.000000\n",
              "...                                                  ...         ...\n",
              "56376                   Â¿QuiÃ©n se ha llevado mi queso?    7.000000\n",
              "56377                           Â¿QuÃ© me quieres, amor?    1.200000\n",
              "56378                              Ã?Â?ber die Freiheit.    7.000000\n",
              "56379                                     Ã?Â?bermorgen.    0.000000\n",
              "56380                                  Ã?Â?thique en toc    4.000000\n",
              "\n",
              "[56381 rows x 2 columns]"
            ],
            "text/html": [
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Book-Title</th>\n",
              "      <th>avg_rating</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>A Light in the Storm: The Civil War Diary of ...</td>\n",
              "      <td>2.250000</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Beyond IBM: Leadership Marketing and Finance ...</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Earth Prayers From around the World: 365 Pray...</td>\n",
              "      <td>8.666667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Final Fantasy Anthology: Official Strategy Gu...</td>\n",
              "      <td>5.000000</td>\n",
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              "      <td>It Takes Two</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
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              "      <td>Â¿QuiÃ©n se ha llevado mi queso?</td>\n",
              "      <td>7.000000</td>\n",
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              "      <th>56377</th>\n",
              "      <td>Â¿QuÃ© me quieres, amor?</td>\n",
              "      <td>1.200000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56378</th>\n",
              "      <td>Ã?Â?ber die Freiheit.</td>\n",
              "      <td>7.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56379</th>\n",
              "      <td>Ã?Â?bermorgen.</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56380</th>\n",
              "      <td>Ã?Â?thique en toc</td>\n",
              "      <td>4.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>56381 rows × 2 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-535b30ab-50f0-4def-9e5b-df7e9a4adfe5')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      height: 32px;\n",
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              "      width: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-535b30ab-50f0-4def-9e5b-df7e9a4adfe5 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-535b30ab-50f0-4def-9e5b-df7e9a4adfe5');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
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              "        element.appendChild(docLink);\n",
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              "            title=\"Suggest charts\"\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "      --disabled-bg-color: #DDD;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
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              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('avg_rating_df')\"\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "avg_rating_df",
              "summary": "{\n  \"name\": \"avg_rating_df\",\n  \"rows\": 56381,\n  \"fields\": [\n    {\n      \"column\": \"Book-Title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 56381,\n        \"samples\": [\n          \"Jane: A novel\",\n          \"Shades of Gray\",\n          \"Child Possessed\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"avg_rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.9507768738527815,\n        \"min\": 0.0,\n        \"max\": 10.0,\n        \"num_unique_values\": 2355,\n        \"samples\": [\n          3.1379310344827585,\n          2.9714285714285715,\n          2.4210526315789473\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Here we are merging num_rating_df with avg_ratings on Book-Title\n",
        "\n",
        "popular_df = num_rating_df.merge(avg_rating_df,on='Book-Title')\n",
        "popular_df.tail()"
      ],
      "metadata": {
        "id": "LVE7NDUVEK5V",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "a2c996ef-d15a-4dab-804e-8e7460d58ddd"
      },
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                             Book-Title  num_ratings  avg_rating\n",
              "56376  Â¿QuiÃ©n se ha llevado mi queso?            1         7.0\n",
              "56377          Â¿QuÃ© me quieres, amor?            5         1.2\n",
              "56378             Ã?Â?ber die Freiheit.            1         7.0\n",
              "56379                    Ã?Â?bermorgen.            1         0.0\n",
              "56380                 Ã?Â?thique en toc            2         4.0"
            ],
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              "      <td>Ã?Â?ber die Freiheit.</td>\n",
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              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "\n",
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              "    fill: var(--disabled-fill-color);\n",
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              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
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              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-7fa8fb7f-8e25-413c-a187-71cf7a47d1f2 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"popular_df\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"Book-Title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"\\u00c2\\u00bfQu\\u00c3\\u00a9 me quieres, amor?\",\n          \"\\u00c3?\\u00c2?thique en toc\",\n          \"\\u00c3?\\u00c2?ber die Freiheit.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"num_ratings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 1,\n        \"max\": 5,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          1,\n          5,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"avg_rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.229241396984747,\n        \"min\": 0.0,\n        \"max\": 7.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1.2,\n          4.0,\n          7.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "# Here, we're selecting books reviewed by more than 150 users, sorting them based on their average ratings in descending order,\n",
        "# and finally displaying the top 50 books,highlighting the most esteemed titles.\n",
        "\n",
        "popular_df = popular_df[popular_df['num_ratings']>=150].sort_values('avg_rating',ascending=False).head(50)"
      ],
      "metadata": {
        "id": "7XsvL6RVEK26"
      },
      "execution_count": 69,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Merging the popular_df with the books dataframe, as the books contains all the necessary information about each book required for display.\n",
        "\n",
        "popular_df = popular_df.merge(books,on='Book-Title')"
      ],
      "metadata": {
        "id": "uk3rCZxCEKzj"
      },
      "execution_count": 70,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Dropping if there is any duplicates\n",
        "\n",
        "popular_df = popular_df.drop_duplicates('Book-Title')"
      ],
      "metadata": {
        "id": "uAks9gMplbig"
      },
      "execution_count": 71,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "popular_df.shape\n"
      ],
      "metadata": {
        "id": "XqqexLgjEKuZ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "11a09f60-7332-41cc-f054-55fea193d716"
      },
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(50, 10)"
            ]
          },
          "metadata": {},
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "popular_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "N8S1_oYc8H4w",
        "outputId": "3ead307b-981c-4b4b-9d93-b5702c6c743a"
      },
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                            Book-Title  num_ratings  \\\n",
              "0         Harry Potter and the Goblet of Fire (Book 4)          181   \n",
              "2    Harry Potter and the Order of the Phoenix (Boo...          170   \n",
              "3    Harry Potter and the Prisoner of Azkaban (Book 3)          222   \n",
              "5     Harry Potter and the Chamber of Secrets (Book 2)          301   \n",
              "8    Harry Potter and the Sorcerer's Stone (Harry P...          295   \n",
              "9                                To Kill a Mockingbird          269   \n",
              "13                             The Secret Life of Bees          414   \n",
              "17                              The Catcher in the Rye          212   \n",
              "20                  The Five People You Meet in Heaven          234   \n",
              "21                                   The Da Vinci Code          473   \n",
              "23   Stupid White Men ...and Other Sorry Excuses fo...          159   \n",
              "24   The Fellowship of the Ring (The Lord of the Ri...          193   \n",
              "29                           The Lovely Bones: A Novel          668   \n",
              "30                                      Fahrenheit 451          205   \n",
              "37   Where the Heart Is (Oprah's Book Club (Paperba...          316   \n",
              "38   Tuesdays with Morrie: An Old Man, a Young Man,...          247   \n",
              "40    Nickel and Dimed: On (Not) Getting By in America          186   \n",
              "42                                         Good in Bed          264   \n",
              "44                 The Red Tent (Bestselling Backlist)          374   \n",
              "45                           Girl with a Pearl Earring          275   \n",
              "46                                      ANGELA'S ASHES          151   \n",
              "48                             A Prayer for Owen Meany          224   \n",
              "49                                  Skipping Christmas          169   \n",
              "53                                      The Bean Trees          215   \n",
              "56           A Heartbreaking Work of Staggering Genius          156   \n",
              "57                              Me Talk Pretty One Day          254   \n",
              "61                                       American Gods          152   \n",
              "62                                      Watership Down          152   \n",
              "65                                              Misery          165   \n",
              "70                            White Oleander : A Novel          220   \n",
              "73                                          Life of Pi          339   \n",
              "76   Fast Food Nation: The Dark Side of the All-Ame...          170   \n",
              "77                                    The Color Purple          173   \n",
              "83                        Suzanne's Diary for Nicholas          213   \n",
              "86   Confessions of a Shopaholic (Summer Display Op...          187   \n",
              "87                                            Timeline          293   \n",
              "91                                        Empire Falls          213   \n",
              "93                                 Angels &amp; Demons          359   \n",
              "97   Left Behind: A Novel of the Earth's Last Days ...          177   \n",
              "99                                         The Summons          337   \n",
              "101                          The Bonesetter's Daughter          211   \n",
              "104    The Golden Compass (His Dark Materials, Book 1)          169   \n",
              "110  The Divine Secrets of the Ya-Ya Sisterhood: A ...          202   \n",
              "111                      Digital Fortress : A Thriller          157   \n",
              "113                                       The Notebook          324   \n",
              "116                     Fall On Your Knees (Oprah #45)          169   \n",
              "117                                         Red Dragon          216   \n",
              "121                            Cold Mountain : A Novel          171   \n",
              "122              She's Come Undone (Oprah's Book Club)          260   \n",
              "123                     Seabiscuit: An American Legend          153   \n",
              "\n",
              "     avg_rating        ISBN           Book-Author  Year-Of-Publication  \\\n",
              "0      5.773481  0439139597         J. K. Rowling                 2000   \n",
              "2      5.623529  043935806X         J. K. Rowling                 2003   \n",
              "3      5.495495  0439136350         J. K. Rowling                 1999   \n",
              "5      5.039867  0439064872         J. K. Rowling                 2000   \n",
              "8      4.986441  059035342X         J. K. Rowling                 1999   \n",
              "9      4.698885  0446310786            Harper Lee                 1988   \n",
              "13     4.601449  0142001740         Sue Monk Kidd                 2003   \n",
              "17     4.599057  0316769487         J.D. Salinger                 1991   \n",
              "20     4.581197  0786868716           Mitch Albom                 2003   \n",
              "21     4.511628  0385504209             Dan Brown                 2003   \n",
              "23     4.459119  0060392452         Michael Moore                 2002   \n",
              "24     4.450777  0345339703        J.R.R. TOLKIEN                 1986   \n",
              "29     4.407186  0316666343          Alice Sebold                 2002   \n",
              "30     4.400000  3257208626          Ray Bradbury                 1994   \n",
              "37     4.395570  0446672211          Billie Letts                 1998   \n",
              "38     4.368421  0385484518           MITCH ALBOM                 1997   \n",
              "40     4.344086  0805063897    Barbara Ehrenreich                 2002   \n",
              "42     4.333333  0743418174       Jennifer Weiner                 2002   \n",
              "44     4.312834  0312195516         Anita Diamant                 1998   \n",
              "45     4.203636  0452282152       Tracy Chevalier                 2001   \n",
              "46     4.158940  0684874350         Frank McCourt                 1996   \n",
              "48     4.084821  0345361792           John Irving                 1990   \n",
              "49     4.065089  0385505833          JOHN GRISHAM                 2001   \n",
              "53     4.032558  0060915544    Barbara Kingsolver                 1989   \n",
              "56     4.000000  0375725784           Dave Eggers                 2001   \n",
              "57     3.952756  0316776963         David Sedaris                 2001   \n",
              "61     3.927632  0380789035           Neil Gaiman                 2002   \n",
              "62     3.894737  038039586X  Richard George Adams                 1975   \n",
              "65     3.878788  0451153553          Stephen King                 1988   \n",
              "70     3.877273  0316182540           Janet Fitch                 2001   \n",
              "73     3.861357  0151008116           Yann Martel                 2002   \n",
              "76     3.858824  0060938455        Eric Schlosser                 2002   \n",
              "77     3.809249  0671617028          Alice Walker                 1985   \n",
              "83     3.798122  0316969443       James Patterson                 2001   \n",
              "86     3.786096  0385335482       SOPHIE KINSELLA                 2001   \n",
              "87     3.774744  0345417623      MICHAEL CRICHTON                 2000   \n",
              "91     3.765258  0375726403         Richard Russo                 2002   \n",
              "93     3.757660  0671027360             Dan Brown                 2001   \n",
              "97     3.757062  0842329129            Tim Lahaye                 1996   \n",
              "99     3.738872  0440241073          John Grisham                 2002   \n",
              "101    3.734597  0399146431               Amy Tan                 2001   \n",
              "104    3.715976  037582345X        PHILIP PULLMAN                 2002   \n",
              "110    3.702970  0060502258         Rebecca Wells                 2002   \n",
              "111    3.687898  0312995423             Dan Brown                 2003   \n",
              "113    3.666667  0446605239       Nicholas Sparks                 1998   \n",
              "116    3.656805  0743237188   Ann-Marie MacDonald                 2002   \n",
              "117    3.638889  0440206154         Thomas Harris                 2000   \n",
              "121    3.637427  0375700757       CHARLES FRAZIER                 1998   \n",
              "122    3.619231  0671021001            Wally Lamb                 1998   \n",
              "123    3.607843  0449005615     LAURA HILLENBRAND                 2002   \n",
              "\n",
              "                         Publisher  \\\n",
              "0                       Scholastic   \n",
              "2                       Scholastic   \n",
              "3                       Scholastic   \n",
              "5                       Scholastic   \n",
              "8           Arthur A. Levine Books   \n",
              "9       Little Brown &amp; Company   \n",
              "13                   Penguin Books   \n",
              "17                   Little, Brown   \n",
              "20                        Hyperion   \n",
              "21                       Doubleday   \n",
              "23                     Regan Books   \n",
              "24                         Del Rey   \n",
              "29                   Little, Brown   \n",
              "30                 Distribooks Inc   \n",
              "37                    Warner Books   \n",
              "38                       Doubleday   \n",
              "40                       Owl Books   \n",
              "42         Washington Square Press   \n",
              "44                     Picador USA   \n",
              "45                     Plume Books   \n",
              "46                        Scribner   \n",
              "48                Ballantine Books   \n",
              "49                       Doubleday   \n",
              "53                       Perennial   \n",
              "56               Vintage Books USA   \n",
              "57                  Back Bay Books   \n",
              "61                     HarperTorch   \n",
              "62                   Harpercollins   \n",
              "65                New Amer Library   \n",
              "70                   Little, Brown   \n",
              "73                        Harcourt   \n",
              "76                       Perennial   \n",
              "77                    Pocket Books   \n",
              "83                   Little, Brown   \n",
              "86                           Delta   \n",
              "87                Ballantine Books   \n",
              "91               Vintage Books USA   \n",
              "93                     Pocket Star   \n",
              "97        Tyndale House Publishers   \n",
              "99         Dell Publishing Company   \n",
              "101        Putnam Publishing Group   \n",
              "104  Knopf Books for Young Readers   \n",
              "110                    HarperTorch   \n",
              "111             St. Martin's Press   \n",
              "113                   Warner Books   \n",
              "116                     Touchstone   \n",
              "117        Dell Publishing Company   \n",
              "121                        Vintage   \n",
              "122                         Pocket   \n",
              "123               Ballantine Books   \n",
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              "      <th></th>\n",
              "      <th>Book-Title</th>\n",
              "      <th>num_ratings</th>\n",
              "      <th>avg_rating</th>\n",
              "      <th>ISBN</th>\n",
              "      <th>Book-Author</th>\n",
              "      <th>Year-Of-Publication</th>\n",
              "      <th>Publisher</th>\n",
              "      <th>Image-URL-S</th>\n",
              "      <th>Image-URL-M</th>\n",
              "      <th>Image-URL-L</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Harry Potter and the Goblet of Fire (Book 4)</td>\n",
              "      <td>181</td>\n",
              "      <td>5.773481</td>\n",
              "      <td>0439139597</td>\n",
              "      <td>J. K. Rowling</td>\n",
              "      <td>2000</td>\n",
              "      <td>Scholastic</td>\n",
              "      <td>http://images.amazon.com/images/P/0439139597.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0439139597.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0439139597.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Harry Potter and the Order of the Phoenix (Boo...</td>\n",
              "      <td>170</td>\n",
              "      <td>5.623529</td>\n",
              "      <td>043935806X</td>\n",
              "      <td>J. K. Rowling</td>\n",
              "      <td>2003</td>\n",
              "      <td>Scholastic</td>\n",
              "      <td>http://images.amazon.com/images/P/043935806X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/043935806X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/043935806X.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Harry Potter and the Prisoner of Azkaban (Book 3)</td>\n",
              "      <td>222</td>\n",
              "      <td>5.495495</td>\n",
              "      <td>0439136350</td>\n",
              "      <td>J. K. Rowling</td>\n",
              "      <td>1999</td>\n",
              "      <td>Scholastic</td>\n",
              "      <td>http://images.amazon.com/images/P/0439136350.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0439136350.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0439136350.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Harry Potter and the Chamber of Secrets (Book 2)</td>\n",
              "      <td>301</td>\n",
              "      <td>5.039867</td>\n",
              "      <td>0439064872</td>\n",
              "      <td>J. K. Rowling</td>\n",
              "      <td>2000</td>\n",
              "      <td>Scholastic</td>\n",
              "      <td>http://images.amazon.com/images/P/0439064872.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0439064872.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0439064872.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Harry Potter and the Sorcerer's Stone (Harry P...</td>\n",
              "      <td>295</td>\n",
              "      <td>4.986441</td>\n",
              "      <td>059035342X</td>\n",
              "      <td>J. K. Rowling</td>\n",
              "      <td>1999</td>\n",
              "      <td>Arthur A. Levine Books</td>\n",
              "      <td>http://images.amazon.com/images/P/059035342X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/059035342X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/059035342X.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>To Kill a Mockingbird</td>\n",
              "      <td>269</td>\n",
              "      <td>4.698885</td>\n",
              "      <td>0446310786</td>\n",
              "      <td>Harper Lee</td>\n",
              "      <td>1988</td>\n",
              "      <td>Little Brown &amp;amp; Company</td>\n",
              "      <td>http://images.amazon.com/images/P/0446310786.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0446310786.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0446310786.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>The Secret Life of Bees</td>\n",
              "      <td>414</td>\n",
              "      <td>4.601449</td>\n",
              "      <td>0142001740</td>\n",
              "      <td>Sue Monk Kidd</td>\n",
              "      <td>2003</td>\n",
              "      <td>Penguin Books</td>\n",
              "      <td>http://images.amazon.com/images/P/0142001740.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0142001740.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0142001740.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>The Catcher in the Rye</td>\n",
              "      <td>212</td>\n",
              "      <td>4.599057</td>\n",
              "      <td>0316769487</td>\n",
              "      <td>J.D. Salinger</td>\n",
              "      <td>1991</td>\n",
              "      <td>Little, Brown</td>\n",
              "      <td>http://images.amazon.com/images/P/0316769487.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0316769487.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0316769487.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>The Five People You Meet in Heaven</td>\n",
              "      <td>234</td>\n",
              "      <td>4.581197</td>\n",
              "      <td>0786868716</td>\n",
              "      <td>Mitch Albom</td>\n",
              "      <td>2003</td>\n",
              "      <td>Hyperion</td>\n",
              "      <td>http://images.amazon.com/images/P/0786868716.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0786868716.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0786868716.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>The Da Vinci Code</td>\n",
              "      <td>473</td>\n",
              "      <td>4.511628</td>\n",
              "      <td>0385504209</td>\n",
              "      <td>Dan Brown</td>\n",
              "      <td>2003</td>\n",
              "      <td>Doubleday</td>\n",
              "      <td>http://images.amazon.com/images/P/0385504209.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0385504209.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0385504209.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Stupid White Men ...and Other Sorry Excuses fo...</td>\n",
              "      <td>159</td>\n",
              "      <td>4.459119</td>\n",
              "      <td>0060392452</td>\n",
              "      <td>Michael Moore</td>\n",
              "      <td>2002</td>\n",
              "      <td>Regan Books</td>\n",
              "      <td>http://images.amazon.com/images/P/0060392452.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060392452.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060392452.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>The Fellowship of the Ring (The Lord of the Ri...</td>\n",
              "      <td>193</td>\n",
              "      <td>4.450777</td>\n",
              "      <td>0345339703</td>\n",
              "      <td>J.R.R. TOLKIEN</td>\n",
              "      <td>1986</td>\n",
              "      <td>Del Rey</td>\n",
              "      <td>http://images.amazon.com/images/P/0345339703.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0345339703.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0345339703.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>The Lovely Bones: A Novel</td>\n",
              "      <td>668</td>\n",
              "      <td>4.407186</td>\n",
              "      <td>0316666343</td>\n",
              "      <td>Alice Sebold</td>\n",
              "      <td>2002</td>\n",
              "      <td>Little, Brown</td>\n",
              "      <td>http://images.amazon.com/images/P/0316666343.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0316666343.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0316666343.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>Fahrenheit 451</td>\n",
              "      <td>205</td>\n",
              "      <td>4.400000</td>\n",
              "      <td>3257208626</td>\n",
              "      <td>Ray Bradbury</td>\n",
              "      <td>1994</td>\n",
              "      <td>Distribooks Inc</td>\n",
              "      <td>http://images.amazon.com/images/P/3257208626.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/3257208626.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/3257208626.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>Where the Heart Is (Oprah's Book Club (Paperba...</td>\n",
              "      <td>316</td>\n",
              "      <td>4.395570</td>\n",
              "      <td>0446672211</td>\n",
              "      <td>Billie Letts</td>\n",
              "      <td>1998</td>\n",
              "      <td>Warner Books</td>\n",
              "      <td>http://images.amazon.com/images/P/0446672211.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0446672211.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0446672211.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>Tuesdays with Morrie: An Old Man, a Young Man,...</td>\n",
              "      <td>247</td>\n",
              "      <td>4.368421</td>\n",
              "      <td>0385484518</td>\n",
              "      <td>MITCH ALBOM</td>\n",
              "      <td>1997</td>\n",
              "      <td>Doubleday</td>\n",
              "      <td>http://images.amazon.com/images/P/0385484518.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0385484518.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0385484518.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>Nickel and Dimed: On (Not) Getting By in America</td>\n",
              "      <td>186</td>\n",
              "      <td>4.344086</td>\n",
              "      <td>0805063897</td>\n",
              "      <td>Barbara Ehrenreich</td>\n",
              "      <td>2002</td>\n",
              "      <td>Owl Books</td>\n",
              "      <td>http://images.amazon.com/images/P/0805063897.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0805063897.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0805063897.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>Good in Bed</td>\n",
              "      <td>264</td>\n",
              "      <td>4.333333</td>\n",
              "      <td>0743418174</td>\n",
              "      <td>Jennifer Weiner</td>\n",
              "      <td>2002</td>\n",
              "      <td>Washington Square Press</td>\n",
              "      <td>http://images.amazon.com/images/P/0743418174.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0743418174.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0743418174.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>The Red Tent (Bestselling Backlist)</td>\n",
              "      <td>374</td>\n",
              "      <td>4.312834</td>\n",
              "      <td>0312195516</td>\n",
              "      <td>Anita Diamant</td>\n",
              "      <td>1998</td>\n",
              "      <td>Picador USA</td>\n",
              "      <td>http://images.amazon.com/images/P/0312195516.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0312195516.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0312195516.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>Girl with a Pearl Earring</td>\n",
              "      <td>275</td>\n",
              "      <td>4.203636</td>\n",
              "      <td>0452282152</td>\n",
              "      <td>Tracy Chevalier</td>\n",
              "      <td>2001</td>\n",
              "      <td>Plume Books</td>\n",
              "      <td>http://images.amazon.com/images/P/0452282152.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0452282152.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0452282152.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>ANGELA'S ASHES</td>\n",
              "      <td>151</td>\n",
              "      <td>4.158940</td>\n",
              "      <td>0684874350</td>\n",
              "      <td>Frank McCourt</td>\n",
              "      <td>1996</td>\n",
              "      <td>Scribner</td>\n",
              "      <td>http://images.amazon.com/images/P/0684874350.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0684874350.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0684874350.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>A Prayer for Owen Meany</td>\n",
              "      <td>224</td>\n",
              "      <td>4.084821</td>\n",
              "      <td>0345361792</td>\n",
              "      <td>John Irving</td>\n",
              "      <td>1990</td>\n",
              "      <td>Ballantine Books</td>\n",
              "      <td>http://images.amazon.com/images/P/0345361792.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0345361792.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0345361792.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>Skipping Christmas</td>\n",
              "      <td>169</td>\n",
              "      <td>4.065089</td>\n",
              "      <td>0385505833</td>\n",
              "      <td>JOHN GRISHAM</td>\n",
              "      <td>2001</td>\n",
              "      <td>Doubleday</td>\n",
              "      <td>http://images.amazon.com/images/P/0385505833.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0385505833.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0385505833.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>The Bean Trees</td>\n",
              "      <td>215</td>\n",
              "      <td>4.032558</td>\n",
              "      <td>0060915544</td>\n",
              "      <td>Barbara Kingsolver</td>\n",
              "      <td>1989</td>\n",
              "      <td>Perennial</td>\n",
              "      <td>http://images.amazon.com/images/P/0060915544.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060915544.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060915544.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>A Heartbreaking Work of Staggering Genius</td>\n",
              "      <td>156</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>0375725784</td>\n",
              "      <td>Dave Eggers</td>\n",
              "      <td>2001</td>\n",
              "      <td>Vintage Books USA</td>\n",
              "      <td>http://images.amazon.com/images/P/0375725784.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0375725784.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0375725784.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>Me Talk Pretty One Day</td>\n",
              "      <td>254</td>\n",
              "      <td>3.952756</td>\n",
              "      <td>0316776963</td>\n",
              "      <td>David Sedaris</td>\n",
              "      <td>2001</td>\n",
              "      <td>Back Bay Books</td>\n",
              "      <td>http://images.amazon.com/images/P/0316776963.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0316776963.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0316776963.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>61</th>\n",
              "      <td>American Gods</td>\n",
              "      <td>152</td>\n",
              "      <td>3.927632</td>\n",
              "      <td>0380789035</td>\n",
              "      <td>Neil Gaiman</td>\n",
              "      <td>2002</td>\n",
              "      <td>HarperTorch</td>\n",
              "      <td>http://images.amazon.com/images/P/0380789035.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0380789035.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0380789035.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62</th>\n",
              "      <td>Watership Down</td>\n",
              "      <td>152</td>\n",
              "      <td>3.894737</td>\n",
              "      <td>038039586X</td>\n",
              "      <td>Richard George Adams</td>\n",
              "      <td>1975</td>\n",
              "      <td>Harpercollins</td>\n",
              "      <td>http://images.amazon.com/images/P/038039586X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/038039586X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/038039586X.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65</th>\n",
              "      <td>Misery</td>\n",
              "      <td>165</td>\n",
              "      <td>3.878788</td>\n",
              "      <td>0451153553</td>\n",
              "      <td>Stephen King</td>\n",
              "      <td>1988</td>\n",
              "      <td>New Amer Library</td>\n",
              "      <td>http://images.amazon.com/images/P/0451153553.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0451153553.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0451153553.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>70</th>\n",
              "      <td>White Oleander : A Novel</td>\n",
              "      <td>220</td>\n",
              "      <td>3.877273</td>\n",
              "      <td>0316182540</td>\n",
              "      <td>Janet Fitch</td>\n",
              "      <td>2001</td>\n",
              "      <td>Little, Brown</td>\n",
              "      <td>http://images.amazon.com/images/P/0316182540.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0316182540.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0316182540.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>73</th>\n",
              "      <td>Life of Pi</td>\n",
              "      <td>339</td>\n",
              "      <td>3.861357</td>\n",
              "      <td>0151008116</td>\n",
              "      <td>Yann Martel</td>\n",
              "      <td>2002</td>\n",
              "      <td>Harcourt</td>\n",
              "      <td>http://images.amazon.com/images/P/0151008116.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0151008116.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0151008116.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>Fast Food Nation: The Dark Side of the All-Ame...</td>\n",
              "      <td>170</td>\n",
              "      <td>3.858824</td>\n",
              "      <td>0060938455</td>\n",
              "      <td>Eric Schlosser</td>\n",
              "      <td>2002</td>\n",
              "      <td>Perennial</td>\n",
              "      <td>http://images.amazon.com/images/P/0060938455.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060938455.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060938455.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>The Color Purple</td>\n",
              "      <td>173</td>\n",
              "      <td>3.809249</td>\n",
              "      <td>0671617028</td>\n",
              "      <td>Alice Walker</td>\n",
              "      <td>1985</td>\n",
              "      <td>Pocket Books</td>\n",
              "      <td>http://images.amazon.com/images/P/0671617028.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0671617028.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0671617028.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>Suzanne's Diary for Nicholas</td>\n",
              "      <td>213</td>\n",
              "      <td>3.798122</td>\n",
              "      <td>0316969443</td>\n",
              "      <td>James Patterson</td>\n",
              "      <td>2001</td>\n",
              "      <td>Little, Brown</td>\n",
              "      <td>http://images.amazon.com/images/P/0316969443.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0316969443.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0316969443.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>Confessions of a Shopaholic (Summer Display Op...</td>\n",
              "      <td>187</td>\n",
              "      <td>3.786096</td>\n",
              "      <td>0385335482</td>\n",
              "      <td>SOPHIE KINSELLA</td>\n",
              "      <td>2001</td>\n",
              "      <td>Delta</td>\n",
              "      <td>http://images.amazon.com/images/P/0385335482.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0385335482.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0385335482.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>87</th>\n",
              "      <td>Timeline</td>\n",
              "      <td>293</td>\n",
              "      <td>3.774744</td>\n",
              "      <td>0345417623</td>\n",
              "      <td>MICHAEL CRICHTON</td>\n",
              "      <td>2000</td>\n",
              "      <td>Ballantine Books</td>\n",
              "      <td>http://images.amazon.com/images/P/0345417623.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0345417623.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0345417623.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>Empire Falls</td>\n",
              "      <td>213</td>\n",
              "      <td>3.765258</td>\n",
              "      <td>0375726403</td>\n",
              "      <td>Richard Russo</td>\n",
              "      <td>2002</td>\n",
              "      <td>Vintage Books USA</td>\n",
              "      <td>http://images.amazon.com/images/P/0375726403.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0375726403.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0375726403.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>Angels &amp;amp; Demons</td>\n",
              "      <td>359</td>\n",
              "      <td>3.757660</td>\n",
              "      <td>0671027360</td>\n",
              "      <td>Dan Brown</td>\n",
              "      <td>2001</td>\n",
              "      <td>Pocket Star</td>\n",
              "      <td>http://images.amazon.com/images/P/0671027360.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0671027360.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0671027360.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>Left Behind: A Novel of the Earth's Last Days ...</td>\n",
              "      <td>177</td>\n",
              "      <td>3.757062</td>\n",
              "      <td>0842329129</td>\n",
              "      <td>Tim Lahaye</td>\n",
              "      <td>1996</td>\n",
              "      <td>Tyndale House Publishers</td>\n",
              "      <td>http://images.amazon.com/images/P/0842329129.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0842329129.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0842329129.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>The Summons</td>\n",
              "      <td>337</td>\n",
              "      <td>3.738872</td>\n",
              "      <td>0440241073</td>\n",
              "      <td>John Grisham</td>\n",
              "      <td>2002</td>\n",
              "      <td>Dell Publishing Company</td>\n",
              "      <td>http://images.amazon.com/images/P/0440241073.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0440241073.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0440241073.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>101</th>\n",
              "      <td>The Bonesetter's Daughter</td>\n",
              "      <td>211</td>\n",
              "      <td>3.734597</td>\n",
              "      <td>0399146431</td>\n",
              "      <td>Amy Tan</td>\n",
              "      <td>2001</td>\n",
              "      <td>Putnam Publishing Group</td>\n",
              "      <td>http://images.amazon.com/images/P/0399146431.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0399146431.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0399146431.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>104</th>\n",
              "      <td>The Golden Compass (His Dark Materials, Book 1)</td>\n",
              "      <td>169</td>\n",
              "      <td>3.715976</td>\n",
              "      <td>037582345X</td>\n",
              "      <td>PHILIP PULLMAN</td>\n",
              "      <td>2002</td>\n",
              "      <td>Knopf Books for Young Readers</td>\n",
              "      <td>http://images.amazon.com/images/P/037582345X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/037582345X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/037582345X.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>110</th>\n",
              "      <td>The Divine Secrets of the Ya-Ya Sisterhood: A ...</td>\n",
              "      <td>202</td>\n",
              "      <td>3.702970</td>\n",
              "      <td>0060502258</td>\n",
              "      <td>Rebecca Wells</td>\n",
              "      <td>2002</td>\n",
              "      <td>HarperTorch</td>\n",
              "      <td>http://images.amazon.com/images/P/0060502258.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060502258.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060502258.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>111</th>\n",
              "      <td>Digital Fortress : A Thriller</td>\n",
              "      <td>157</td>\n",
              "      <td>3.687898</td>\n",
              "      <td>0312995423</td>\n",
              "      <td>Dan Brown</td>\n",
              "      <td>2003</td>\n",
              "      <td>St. Martin's Press</td>\n",
              "      <td>http://images.amazon.com/images/P/0312995423.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0312995423.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0312995423.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>113</th>\n",
              "      <td>The Notebook</td>\n",
              "      <td>324</td>\n",
              "      <td>3.666667</td>\n",
              "      <td>0446605239</td>\n",
              "      <td>Nicholas Sparks</td>\n",
              "      <td>1998</td>\n",
              "      <td>Warner Books</td>\n",
              "      <td>http://images.amazon.com/images/P/0446605239.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0446605239.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0446605239.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>116</th>\n",
              "      <td>Fall On Your Knees (Oprah #45)</td>\n",
              "      <td>169</td>\n",
              "      <td>3.656805</td>\n",
              "      <td>0743237188</td>\n",
              "      <td>Ann-Marie MacDonald</td>\n",
              "      <td>2002</td>\n",
              "      <td>Touchstone</td>\n",
              "      <td>http://images.amazon.com/images/P/0743237188.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0743237188.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0743237188.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>117</th>\n",
              "      <td>Red Dragon</td>\n",
              "      <td>216</td>\n",
              "      <td>3.638889</td>\n",
              "      <td>0440206154</td>\n",
              "      <td>Thomas Harris</td>\n",
              "      <td>2000</td>\n",
              "      <td>Dell Publishing Company</td>\n",
              "      <td>http://images.amazon.com/images/P/0440206154.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0440206154.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0440206154.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>121</th>\n",
              "      <td>Cold Mountain : A Novel</td>\n",
              "      <td>171</td>\n",
              "      <td>3.637427</td>\n",
              "      <td>0375700757</td>\n",
              "      <td>CHARLES FRAZIER</td>\n",
              "      <td>1998</td>\n",
              "      <td>Vintage</td>\n",
              "      <td>http://images.amazon.com/images/P/0375700757.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0375700757.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0375700757.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>122</th>\n",
              "      <td>She's Come Undone (Oprah's Book Club)</td>\n",
              "      <td>260</td>\n",
              "      <td>3.619231</td>\n",
              "      <td>0671021001</td>\n",
              "      <td>Wally Lamb</td>\n",
              "      <td>1998</td>\n",
              "      <td>Pocket</td>\n",
              "      <td>http://images.amazon.com/images/P/0671021001.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0671021001.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0671021001.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>123</th>\n",
              "      <td>Seabiscuit: An American Legend</td>\n",
              "      <td>153</td>\n",
              "      <td>3.607843</td>\n",
              "      <td>0449005615</td>\n",
              "      <td>LAURA HILLENBRAND</td>\n",
              "      <td>2002</td>\n",
              "      <td>Ballantine Books</td>\n",
              "      <td>http://images.amazon.com/images/P/0449005615.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0449005615.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0449005615.0...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0a2984e9-96fa-4bec-831e-94cfdfa874b5')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      border-radius: 50%;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "    .colab-df-buttons div {\n",
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              "    [theme=dark] .colab-df-convert {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-0a2984e9-96fa-4bec-831e-94cfdfa874b5');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "      --disabled-fill-color: #666;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
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              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "    30% {\n",
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              "      border-top-color: var(--fill-color);\n",
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              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-4a4d614b-629e-45b1-9643-8f5687870f64 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_d9a47e57-fe1e-4a4e-b4ab-111a10b08a2a\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
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              "        border: none;\n",
              "        border-radius: 50%;\n",
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              "        height: 32px;\n",
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              "        width: 32px;\n",
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              "\n",
              "      .colab-df-generate:hover {\n",
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              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "summary": "{\n  \"name\": \"popular_df\",\n  \"rows\": 50,\n  \"fields\": [\n    {\n      \"column\": \"Book-Title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 50,\n        \"samples\": [\n          \"Fahrenheit 451\",\n          \"The Summons\",\n          \"Life of Pi\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"num_ratings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 96,\n        \"min\": 151,\n        \"max\": 668,\n        \"num_unique_values\": 45,\n        \"samples\": [\n          157,\n          254,\n          152\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"avg_rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5279267726690943,\n        \"min\": 3.607843137254902,\n        \"max\": 5.773480662983426,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          4.4,\n          3.7388724035608307,\n          3.8613569321533925\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ISBN\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 50,\n        \"samples\": [\n          \"3257208626\",\n          \"0440241073\",\n          \"0151008116\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Book-Author\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 44,\n        \"samples\": [\n          \"Rebecca Wells\",\n          \"Stephen King\",\n          \"Janet Fitch\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Year-Of-Publication\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 1975,\n        \"max\": 2003,\n        \"num_unique_values\": 16,\n        \"samples\": [\n          2000,\n          2003,\n          2002\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Publisher\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 35,\n        \"samples\": [\n          \"Pocket Star\",\n          \"Picador USA\",\n          \"Pocket Books\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Image-URL-S\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 50,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/3257208626.01.THUMBZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0440241073.01.THUMBZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0151008116.01.THUMBZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Image-URL-M\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 50,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/3257208626.01.MZZZZZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0440241073.01.MZZZZZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0151008116.01.MZZZZZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Image-URL-L\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 50,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/3257208626.01.LZZZZZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0440241073.01.LZZZZZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0151008116.01.LZZZZZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "sBjmAj21oHF_"
      },
      "execution_count": 73,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Collaborative Filtering Based Recommendation System"
      ],
      "metadata": {
        "id": "v6fwcSJv9JlG"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "## Filtering users who have rated at least 100 books and selecting only those books that have received more than 50 ratings, creating a pivot table with books as index and users as columns. This pivot table facilitates calculating cosine similarity to recommend four most similar books based on user queries."
      ],
      "metadata": {
        "id": "DmeRO6MgZ2FW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Filtering only those users who rated atleast 100 books\n",
        "\n",
        "x = ratings_with_name.groupby('User-ID').count()['Book-Rating'] > 100\n"
      ],
      "metadata": {
        "id": "jfwnwRCZEKsH"
      },
      "execution_count": 74,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# We need index of those users so we are extracting index of filtered users(x)\n",
        "\n",
        "padhe_likhe_users = x[x].index"
      ],
      "metadata": {
        "id": "IjGSn_7A-Q-J"
      },
      "execution_count": 75,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "padhe_likhe_users"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "K5WHXcH--UDI",
        "outputId": "2d07ddd3-5f86-4566-a74b-73a6766198ae"
      },
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index([   254,    507,    882,   1424,   1435,   1733,   1903,   2033,   2110,\n",
              "         2276,\n",
              "       ...\n",
              "       142121, 142256, 142524, 143175, 143253, 143415, 143792, 277427, 278188,\n",
              "       278418],\n",
              "      dtype='int64', name='User-ID', length=558)"
            ]
          },
          "metadata": {},
          "execution_count": 76
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Here we are extracting only users information whose user-id is in padhe_likhe_users\n",
        "\n",
        "filtered_rating = ratings_with_name[ratings_with_name['User-ID'].isin(padhe_likhe_users)]"
      ],
      "metadata": {
        "id": "KBpRV8imEKpT"
      },
      "execution_count": 77,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "filtered_rating"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "s2g5ZB6u_leH",
        "outputId": "8102f627-8ae7-4717-9dc9-eca70b0700b4"
      },
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        User-ID        ISBN  Book-Rating  \\\n",
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              "350031   143792  1896860982          0.0   \n",
              "\n",
              "                                               Book-Title         Book-Author  \\\n",
              "647     Politically Correct Bedtime Stories: Modern Ta...   James Finn Garner   \n",
              "648      Ask for May, Settle for June (A Doonesbury book)       G. B. Trudeau   \n",
              "649                     On a Wicked Dawn (Cynster Novels)   Stephanie Laurens   \n",
              "650     Beauty Fades, Dumb Is Forever: The Making of a...      Judy Sheindlin   \n",
              "651                                 When the Storm Breaks      Heather Lowell   \n",
              "...                                                   ...                 ...   \n",
              "350027                                       Losing Gemma        Katy Gardner   \n",
              "350028                  The Hemingway Book Club of Kosovo       Paula Huntley   \n",
              "350029    Timoleon Vieta Come Home: A Sentimental Journey          Dan Rhodes   \n",
              "350030        Girlfriends: Invisible Bonds, Enduring Ties  Carmen Renee Berry   \n",
              "350031                                  Falling Backwards           James Eke   \n",
              "\n",
              "        Year-Of-Publication                  Publisher  \\\n",
              "647                    1994  John Wiley &amp; Sons Inc   \n",
              "648                    1982        Henry Holt &amp; Co   \n",
              "649                    2002                 Avon Books   \n",
              "650                    1999         Cliff Street Books   \n",
              "651                    2003                HarperTorch   \n",
              "...                     ...                        ...   \n",
              "350027                 2002            Riverhead Books   \n",
              "350028                 2003          Jeremy P. Tarcher   \n",
              "350029                 2003            Canongate Books   \n",
              "350030                 1995       Wildcat Canyon Press   \n",
              "350031                 2002          Ekstasis Editions   \n",
              "\n",
              "                                              Image-URL-S  \\\n",
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              "...                                                   ...   \n",
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              "350031  http://images.amazon.com/images/P/1896860982.0...   \n",
              "\n",
              "                                              Image-URL-M  \\\n",
              "647     http://images.amazon.com/images/P/002542730X.0...   \n",
              "648     http://images.amazon.com/images/P/0030615321.0...   \n",
              "649     http://images.amazon.com/images/P/0060002050.0...   \n",
              "650     http://images.amazon.com/images/P/0060192704.0...   \n",
              "651     http://images.amazon.com/images/P/0060542128.0...   \n",
              "...                                                   ...   \n",
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              "\n",
              "                                              Image-URL-L  \n",
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              "350030  http://images.amazon.com/images/P/1885171080.0...  \n",
              "350031  http://images.amazon.com/images/P/1896860982.0...  \n",
              "\n",
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              "      <th>350031</th>\n",
              "      <td>143792</td>\n",
              "      <td>1896860982</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Falling Backwards</td>\n",
              "      <td>James Eke</td>\n",
              "      <td>2002</td>\n",
              "      <td>Ekstasis Editions</td>\n",
              "      <td>http://images.amazon.com/images/P/1896860982.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1896860982.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1896860982.0...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "<p>171656 rows × 10 columns</p>\n",
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              "type": "dataframe",
              "variable_name": "filtered_rating"
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          },
          "metadata": {},
          "execution_count": 78
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# As we want only famous books so for that we are keeping here only those books who have been rated more than 50 ratings\n",
        "\n",
        "y = filtered_rating.groupby('Book-Title').count()['Book-Rating']>=50\n"
      ],
      "metadata": {
        "id": "8iSkS7NxEKm_"
      },
      "execution_count": 79,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# To get the names of books we are using .index\n",
        "famous_books = y[y].index"
      ],
      "metadata": {
        "id": "Ex7TwBg6BVZv"
      },
      "execution_count": 80,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "famous_books"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Eswp1b2RBapW",
        "outputId": "fed53456-f800-46fa-96b9-3a0375e6eda3"
      },
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['1st to Die: A Novel', '2nd Chance', 'A Bend in the Road',\n",
              "       'A Is for Alibi (Kinsey Millhone Mysteries (Paperback))',\n",
              "       'A Map of the World', 'A Painted House', 'A Prayer for Owen Meany',\n",
              "       'A Time to Kill', 'A Walk to Remember', 'A Widow for One Year',\n",
              "       ...\n",
              "       'When the Wind Blows',\n",
              "       'Where the Heart Is (Oprah's Book Club (Paperback))',\n",
              "       'While I Was Gone', 'Whispers', 'White Oleander : A Novel',\n",
              "       'White Oleander : A Novel (Oprah's Book Club)',\n",
              "       'Wicked: The Life and Times of the Wicked Witch of the West',\n",
              "       'Wild Animus', 'Wish You Well', '\\O\\\" Is for Outlaw\"'],\n",
              "      dtype='object', name='Book-Title', length=241)"
            ]
          },
          "metadata": {},
          "execution_count": 81
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Now , here we are extracting only those books that were in famous books from filtered-rating so that now we have final dataframe in which we\n",
        "# took only those users who rated atleast 100 books and only those books which are rated more than 50 times .\n",
        "\n",
        "final_ratings = filtered_rating[filtered_rating['Book-Title'].isin(famous_books)]"
      ],
      "metadata": {
        "id": "G2W3hugOZepY"
      },
      "execution_count": 82,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "final_ratings"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 947
        },
        "id": "kxPmLmkmBuc2",
        "outputId": "43abcad0-57f2-413a-a46c-fd31b805332e"
      },
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        User-ID        ISBN  Book-Rating  \\\n",
              "654      277427  0060930535          0.0   \n",
              "656      277427  0060934417          0.0   \n",
              "658      277427  0061009059          9.0   \n",
              "668      277427  014029628X          0.0   \n",
              "670      277427  014100018X          0.0   \n",
              "...         ...         ...          ...   \n",
              "350004   143792  068484477X          0.0   \n",
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              "350009   143792  0743237188          0.0   \n",
              "350021   143792  0805063889          0.0   \n",
              "350025   143792  1400034779          0.0   \n",
              "\n",
              "                                               Book-Title  \\\n",
              "654                         The Poisonwood Bible: A Novel   \n",
              "656                                    Bel Canto: A Novel   \n",
              "658     One for the Money (Stephanie Plum Novels (Pape...   \n",
              "668                                 Girl in Hyacinth Blue   \n",
              "670                                              Chocolat   \n",
              "...                                                   ...   \n",
              "350004                              STONES FROM THE RIVER   \n",
              "350005                                       Mystic River   \n",
              "350009                     Fall On Your Knees (Oprah #45)   \n",
              "350021   Nickel and Dimed: On (Not) Getting By in America   \n",
              "350025  The No. 1 Ladies' Detective Agency (Today Show...   \n",
              "\n",
              "                   Book-Author  Year-Of-Publication  \\\n",
              "654         Barbara Kingsolver                 1999   \n",
              "656               Ann Patchett                 2002   \n",
              "658            Janet Evanovich                 1995   \n",
              "668             Susan Vreeland                 2000   \n",
              "670              Joanne Harris                 2000   \n",
              "...                        ...                  ...   \n",
              "350004             Ursula Hegi                 1997   \n",
              "350005           Dennis Lehane                 2001   \n",
              "350009     Ann-Marie MacDonald                 2002   \n",
              "350021      Barbara Ehrenreich                 2001   \n",
              "350025  Alexander McCall Smith                 2003   \n",
              "\n",
              "                           Publisher  \\\n",
              "654                        Perennial   \n",
              "656                        Perennial   \n",
              "658                      HarperTorch   \n",
              "668                    Penguin Books   \n",
              "670                    Penguin Books   \n",
              "...                              ...   \n",
              "350004                    Touchstone   \n",
              "350005  William Morrow &amp; Company   \n",
              "350009                    Touchstone   \n",
              "350021            Metropolitan Books   \n",
              "350025                        Anchor   \n",
              "\n",
              "                                              Image-URL-S  \\\n",
              "654     http://images.amazon.com/images/P/0060930535.0...   \n",
              "656     http://images.amazon.com/images/P/0060934417.0...   \n",
              "658     http://images.amazon.com/images/P/0061009059.0...   \n",
              "668     http://images.amazon.com/images/P/014029628X.0...   \n",
              "670     http://images.amazon.com/images/P/014100018X.0...   \n",
              "...                                                   ...   \n",
              "350004  http://images.amazon.com/images/P/068484477X.0...   \n",
              "350005  http://images.amazon.com/images/P/0688163165.0...   \n",
              "350009  http://images.amazon.com/images/P/0743237188.0...   \n",
              "350021  http://images.amazon.com/images/P/0805063889.0...   \n",
              "350025  http://images.amazon.com/images/P/1400034779.0...   \n",
              "\n",
              "                                              Image-URL-M  \\\n",
              "654     http://images.amazon.com/images/P/0060930535.0...   \n",
              "656     http://images.amazon.com/images/P/0060934417.0...   \n",
              "658     http://images.amazon.com/images/P/0061009059.0...   \n",
              "668     http://images.amazon.com/images/P/014029628X.0...   \n",
              "670     http://images.amazon.com/images/P/014100018X.0...   \n",
              "...                                                   ...   \n",
              "350004  http://images.amazon.com/images/P/068484477X.0...   \n",
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              "\n",
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              "668     http://images.amazon.com/images/P/014029628X.0...  \n",
              "670     http://images.amazon.com/images/P/014100018X.0...  \n",
              "...                                                   ...  \n",
              "350004  http://images.amazon.com/images/P/068484477X.0...  \n",
              "350005  http://images.amazon.com/images/P/0688163165.0...  \n",
              "350009  http://images.amazon.com/images/P/0743237188.0...  \n",
              "350021  http://images.amazon.com/images/P/0805063889.0...  \n",
              "350025  http://images.amazon.com/images/P/1400034779.0...  \n",
              "\n",
              "[17937 rows x 10 columns]"
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              "      <th></th>\n",
              "      <th>User-ID</th>\n",
              "      <th>ISBN</th>\n",
              "      <th>Book-Rating</th>\n",
              "      <th>Book-Title</th>\n",
              "      <th>Book-Author</th>\n",
              "      <th>Year-Of-Publication</th>\n",
              "      <th>Publisher</th>\n",
              "      <th>Image-URL-S</th>\n",
              "      <th>Image-URL-M</th>\n",
              "      <th>Image-URL-L</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>654</th>\n",
              "      <td>277427</td>\n",
              "      <td>0060930535</td>\n",
              "      <td>0.0</td>\n",
              "      <td>The Poisonwood Bible: A Novel</td>\n",
              "      <td>Barbara Kingsolver</td>\n",
              "      <td>1999</td>\n",
              "      <td>Perennial</td>\n",
              "      <td>http://images.amazon.com/images/P/0060930535.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060930535.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060930535.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>656</th>\n",
              "      <td>277427</td>\n",
              "      <td>0060934417</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Bel Canto: A Novel</td>\n",
              "      <td>Ann Patchett</td>\n",
              "      <td>2002</td>\n",
              "      <td>Perennial</td>\n",
              "      <td>http://images.amazon.com/images/P/0060934417.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060934417.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0060934417.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>658</th>\n",
              "      <td>277427</td>\n",
              "      <td>0061009059</td>\n",
              "      <td>9.0</td>\n",
              "      <td>One for the Money (Stephanie Plum Novels (Pape...</td>\n",
              "      <td>Janet Evanovich</td>\n",
              "      <td>1995</td>\n",
              "      <td>HarperTorch</td>\n",
              "      <td>http://images.amazon.com/images/P/0061009059.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0061009059.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0061009059.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>668</th>\n",
              "      <td>277427</td>\n",
              "      <td>014029628X</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Girl in Hyacinth Blue</td>\n",
              "      <td>Susan Vreeland</td>\n",
              "      <td>2000</td>\n",
              "      <td>Penguin Books</td>\n",
              "      <td>http://images.amazon.com/images/P/014029628X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/014029628X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/014029628X.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>670</th>\n",
              "      <td>277427</td>\n",
              "      <td>014100018X</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Chocolat</td>\n",
              "      <td>Joanne Harris</td>\n",
              "      <td>2000</td>\n",
              "      <td>Penguin Books</td>\n",
              "      <td>http://images.amazon.com/images/P/014100018X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/014100018X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/014100018X.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>350004</th>\n",
              "      <td>143792</td>\n",
              "      <td>068484477X</td>\n",
              "      <td>0.0</td>\n",
              "      <td>STONES FROM THE RIVER</td>\n",
              "      <td>Ursula Hegi</td>\n",
              "      <td>1997</td>\n",
              "      <td>Touchstone</td>\n",
              "      <td>http://images.amazon.com/images/P/068484477X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/068484477X.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/068484477X.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>350005</th>\n",
              "      <td>143792</td>\n",
              "      <td>0688163165</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Mystic River</td>\n",
              "      <td>Dennis Lehane</td>\n",
              "      <td>2001</td>\n",
              "      <td>William Morrow &amp;amp; Company</td>\n",
              "      <td>http://images.amazon.com/images/P/0688163165.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0688163165.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0688163165.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>350009</th>\n",
              "      <td>143792</td>\n",
              "      <td>0743237188</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Fall On Your Knees (Oprah #45)</td>\n",
              "      <td>Ann-Marie MacDonald</td>\n",
              "      <td>2002</td>\n",
              "      <td>Touchstone</td>\n",
              "      <td>http://images.amazon.com/images/P/0743237188.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0743237188.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0743237188.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>350021</th>\n",
              "      <td>143792</td>\n",
              "      <td>0805063889</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Nickel and Dimed: On (Not) Getting By in America</td>\n",
              "      <td>Barbara Ehrenreich</td>\n",
              "      <td>2001</td>\n",
              "      <td>Metropolitan Books</td>\n",
              "      <td>http://images.amazon.com/images/P/0805063889.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0805063889.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0805063889.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>350025</th>\n",
              "      <td>143792</td>\n",
              "      <td>1400034779</td>\n",
              "      <td>0.0</td>\n",
              "      <td>The No. 1 Ladies' Detective Agency (Today Show...</td>\n",
              "      <td>Alexander McCall Smith</td>\n",
              "      <td>2003</td>\n",
              "      <td>Anchor</td>\n",
              "      <td>http://images.amazon.com/images/P/1400034779.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1400034779.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/1400034779.0...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>17937 rows × 10 columns</p>\n",
              "</div>\n",
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              "type": "dataframe",
              "variable_name": "final_ratings",
              "summary": "{\n  \"name\": \"final_ratings\",\n  \"rows\": 17937,\n  \"fields\": [\n    {\n      \"column\": \"User-ID\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 46017,\n        \"min\": 254,\n        \"max\": 278418,\n        \"num_unique_values\": 554,\n        \"samples\": [\n          16155,\n          15957,\n          56447\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ISBN\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 556,\n        \"samples\": [\n          \"0671867156\",\n          \"0345339703\",\n          \"0345391055\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Book-Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.7359667484128796,\n        \"min\": 0.0,\n        \"max\": 10.0,\n        \"num_unique_values\": 11,\n        \"samples\": [\n          5.0,\n          0.0,\n          2.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Book-Title\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 241,\n        \"samples\": [\n          \"The Partner\",\n          \"Three To Get Deadly : A Stephanie Plum Novel (A Stephanie Plum Novel)\",\n          \"Cold Mountain : A Novel\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Book-Author\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 176,\n        \"samples\": [\n          \"DANIELLE STEEL\",\n          \"Richard Adams\",\n          \"RICHARD RUSSO\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Year-Of-Publication\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 61,\n        \"min\": 0,\n        \"max\": 2004,\n        \"num_unique_values\": 33,\n        \"samples\": [\n          1960,\n          1986,\n          1975\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Publisher\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 154,\n        \"samples\": [\n          \"Dell Publishing Company\",\n          \"Steeple Hill\",\n          \"Bantam Books-Audio\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Image-URL-S\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 555,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/0316899984.01.THUMBZZZ.jpg\",\n          \"http://images.amazon.com/images/P/055321313X.01.THUMBZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0345391055.01.THUMBZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Image-URL-M\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 555,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/0316899984.01.MZZZZZZZ.jpg\",\n          \"http://images.amazon.com/images/P/055321313X.01.MZZZZZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0345391055.01.MZZZZZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Image-URL-L\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 555,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/0316899984.01.LZZZZZZZ.jpg\",\n          \"http://images.amazon.com/images/P/055321313X.01.LZZZZZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0345391055.01.LZZZZZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Here we are converting final_rating in pivot table to make it suitable for collaborative filtering and for using cosine similarity\n",
        "# in index we are taking Book-Title and in columns we will have all User-ID and values that will be filled in this pivot will be Book-Rating\n",
        "\n",
        "pt = final_ratings.pivot_table(index='Book-Title',columns='User-ID',values='Book-Rating')"
      ],
      "metadata": {
        "id": "-KcPnzFFZel3"
      },
      "execution_count": 84,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# As so many NA are there so we are filling NA with 0 because NA means no ratings means 0\n",
        "pt.fillna(0,inplace=True)"
      ],
      "metadata": {
        "id": "K9QgUh2yZejQ"
      },
      "execution_count": 85,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pt"
      ],
      "metadata": {
        "id": "S4GdxU81Zegm",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "outputId": "ee19b53d-17a0-4358-8ec1-e2c48ca247a6"
      },
      "execution_count": 86,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "User-ID                                             254     507     882     \\\n",
              "Book-Title                                                                   \n",
              "1st to Die: A Novel                                    0.0     0.0     0.0   \n",
              "2nd Chance                                             0.0     0.0     0.0   \n",
              "A Bend in the Road                                     0.0     0.0     0.0   \n",
              "A Is for Alibi (Kinsey Millhone Mysteries (Pape...     0.0     0.0     0.0   \n",
              "A Map of the World                                     0.0     0.0     0.0   \n",
              "...                                                    ...     ...     ...   \n",
              "White Oleander : A Novel (Oprah's Book Club)           0.0     0.0     0.0   \n",
              "Wicked: The Life and Times of the Wicked Witch ...     0.0     0.0     0.0   \n",
              "Wild Animus                                            0.0     0.0     0.0   \n",
              "Wish You Well                                          0.0     0.0     0.0   \n",
              "\\O\\\" Is for Outlaw\"                                    0.0     0.0     0.0   \n",
              "\n",
              "User-ID                                             1424    1435    1733    \\\n",
              "Book-Title                                                                   \n",
              "1st to Die: A Novel                                    0.0     0.0     0.0   \n",
              "2nd Chance                                             0.0     0.0     0.0   \n",
              "A Bend in the Road                                     0.0     0.0     0.0   \n",
              "A Is for Alibi (Kinsey Millhone Mysteries (Pape...     0.0     0.0     0.0   \n",
              "A Map of the World                                     7.0     0.0     0.0   \n",
              "...                                                    ...     ...     ...   \n",
              "White Oleander : A Novel (Oprah's Book Club)           0.0     0.0     0.0   \n",
              "Wicked: The Life and Times of the Wicked Witch ...     0.0     0.0     0.0   \n",
              "Wild Animus                                            0.0     5.0     1.0   \n",
              "Wish You Well                                          0.0     0.0     0.0   \n",
              "\\O\\\" Is for Outlaw\"                                    0.0     0.0     0.0   \n",
              "\n",
              "User-ID                                             1903    2033    2110    \\\n",
              "Book-Title                                                                   \n",
              "1st to Die: A Novel                                    0.0     0.0     0.0   \n",
              "2nd Chance                                             0.0     0.0     0.0   \n",
              "A Bend in the Road                                     0.0     0.0     0.0   \n",
              "A Is for Alibi (Kinsey Millhone Mysteries (Pape...     0.0     0.0     0.0   \n",
              "A Map of the World                                     0.0     0.0     0.0   \n",
              "...                                                    ...     ...     ...   \n",
              "White Oleander : A Novel (Oprah's Book Club)           0.0     0.0     0.0   \n",
              "Wicked: The Life and Times of the Wicked Witch ...     0.0     0.0     0.0   \n",
              "Wild Animus                                            0.0     0.0     0.0   \n",
              "Wish You Well                                          0.0     0.0     0.0   \n",
              "\\O\\\" Is for Outlaw\"                                    0.0     0.0     0.0   \n",
              "\n",
              "User-ID                                             2276    ...  142121  \\\n",
              "Book-Title                                                  ...           \n",
              "1st to Die: A Novel                                    0.0  ...     0.0   \n",
              "2nd Chance                                            10.0  ...     0.0   \n",
              "A Bend in the Road                                     0.0  ...     0.0   \n",
              "A Is for Alibi (Kinsey Millhone Mysteries (Pape...     0.0  ...     0.0   \n",
              "A Map of the World                                     0.0  ...     0.0   \n",
              "...                                                    ...  ...     ...   \n",
              "White Oleander : A Novel (Oprah's Book Club)           0.0  ...     0.0   \n",
              "Wicked: The Life and Times of the Wicked Witch ...     0.0  ...     0.0   \n",
              "Wild Animus                                            0.0  ...     0.0   \n",
              "Wish You Well                                          0.0  ...     0.0   \n",
              "\\O\\\" Is for Outlaw\"                                    0.0  ...     0.0   \n",
              "\n",
              "User-ID                                             142256  142524  143175  \\\n",
              "Book-Title                                                                   \n",
              "1st to Die: A Novel                                    0.0     0.0     9.5   \n",
              "2nd Chance                                             0.0     0.0     0.0   \n",
              "A Bend in the Road                                     0.0     0.0     0.0   \n",
              "A Is for Alibi (Kinsey Millhone Mysteries (Pape...     0.0     0.0     0.0   \n",
              "A Map of the World                                     8.0     0.0     0.0   \n",
              "...                                                    ...     ...     ...   \n",
              "White Oleander : A Novel (Oprah's Book Club)           0.0     0.0     0.0   \n",
              "Wicked: The Life and Times of the Wicked Witch ...     0.0     9.0     0.0   \n",
              "Wild Animus                                            0.0     0.0     0.0   \n",
              "Wish You Well                                          0.0     0.0     0.0   \n",
              "\\O\\\" Is for Outlaw\"                                    0.0     0.0     0.0   \n",
              "\n",
              "User-ID                                             143253  143415  143792  \\\n",
              "Book-Title                                                                   \n",
              "1st to Die: A Novel                                    0.0     0.0     0.0   \n",
              "2nd Chance                                             0.0     6.0     0.0   \n",
              "A Bend in the Road                                    10.0     0.0     0.0   \n",
              "A Is for Alibi (Kinsey Millhone Mysteries (Pape...     0.0     0.0     0.0   \n",
              "A Map of the World                                     0.0     0.0     0.0   \n",
              "...                                                    ...     ...     ...   \n",
              "White Oleander : A Novel (Oprah's Book Club)           0.0     0.0     0.0   \n",
              "Wicked: The Life and Times of the Wicked Witch ...     0.0     0.0     0.0   \n",
              "Wild Animus                                            0.0     0.0     0.0   \n",
              "Wish You Well                                          0.0     0.0     0.0   \n",
              "\\O\\\" Is for Outlaw\"                                    0.0     0.0     0.0   \n",
              "\n",
              "User-ID                                             277427  278188  278418  \n",
              "Book-Title                                                                  \n",
              "1st to Die: A Novel                                    0.0     0.0     0.0  \n",
              "2nd Chance                                             0.0     0.0     0.0  \n",
              "A Bend in the Road                                     0.0     0.0     0.0  \n",
              "A Is for Alibi (Kinsey Millhone Mysteries (Pape...     0.0     0.0     0.0  \n",
              "A Map of the World                                     0.0     0.0     0.0  \n",
              "...                                                    ...     ...     ...  \n",
              "White Oleander : A Novel (Oprah's Book Club)           0.0     0.0     0.0  \n",
              "Wicked: The Life and Times of the Wicked Witch ...     0.0     0.0     0.0  \n",
              "Wild Animus                                            0.0     0.0     0.0  \n",
              "Wish You Well                                          0.0     0.0     0.0  \n",
              "\\O\\\" Is for Outlaw\"                                    0.0     0.0     0.0  \n",
              "\n",
              "[241 rows x 554 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6375a421-297e-4eda-802f-95ced3178b64\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th>User-ID</th>\n",
              "      <th>254</th>\n",
              "      <th>507</th>\n",
              "      <th>882</th>\n",
              "      <th>1424</th>\n",
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              "      <th>2276</th>\n",
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              "      <th>142121</th>\n",
              "      <th>142256</th>\n",
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              "      <th>143175</th>\n",
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              "      <th>277427</th>\n",
              "      <th>278188</th>\n",
              "      <th>278418</th>\n",
              "    </tr>\n",
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              "      <th>Book-Title</th>\n",
              "      <th></th>\n",
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              "    <tr>\n",
              "      <th>1st to Die: A Novel</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.5</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>0.0</td>\n",
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              "    <tr>\n",
              "      <th>2nd Chance</th>\n",
              "      <td>0.0</td>\n",
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              "      <td>10.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <th>A Bend in the Road</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "    <tr>\n",
              "      <th>A Is for Alibi (Kinsey Millhone Mysteries (Paperback))</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>0.0</td>\n",
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              "      <td>7.0</td>\n",
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              "      <td>0.0</td>\n",
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              "      <th>Wicked: The Life and Times of the Wicked Witch of the West</th>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>Wild Animus</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Wish You Well</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>\\O\\\" Is for Outlaw\"</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "<p>241 rows × 554 columns</p>\n",
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              "\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "pt"
            }
          },
          "metadata": {},
          "execution_count": 86
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics.pairwise import cosine_similarity"
      ],
      "metadata": {
        "id": "dkfkb7d4Zed9"
      },
      "execution_count": 87,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "similarity_scores = cosine_similarity(pt)"
      ],
      "metadata": {
        "id": "KoA3z0cPZsw2"
      },
      "execution_count": 88,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# First book similarity scores against all the books\n",
        "\n",
        "print(similarity_scores[0])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qAJc1WNGDu5l",
        "outputId": "034c96c8-735b-4cc3-94c1-88917f5d89ee"
      },
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[1.         0.28979836 0.12885405 0.17726055 0.10413267 0.19631748\n",
            " 0.13482442 0.08698274 0.1488295  0.         0.03416848 0.03916396\n",
            " 0.15485326 0.38556128 0.03190543 0.05688051 0.03039243 0.13242385\n",
            " 0.10829486 0.         0.12624327 0.09516049 0.06344184 0.15055118\n",
            " 0.03863308 0.10909555 0.02098578 0.04383613 0.16569206 0.02139843\n",
            " 0.1332768  0.03636488 0.10177315 0.11055397 0.10763659 0.03364237\n",
            " 0.05722892 0.17926244 0.08029714 0.13849488 0.10471055 0.34930145\n",
            " 0.2740818  0.16062281 0.06780285 0.12259794 0.11182153 0.16834526\n",
            " 0.20777918 0.02196848 0.09458994 0.09518871 0.14737155 0.13672054\n",
            " 0.1057713  0.10332857 0.05884054 0.20375067 0.22114709 0.18919262\n",
            " 0.15424078 0.04905557 0.06497427 0.02425642 0.15821641 0.08309285\n",
            " 0.12648877 0.08337178 0.12002565 0.03566941 0.06272585 0.09982403\n",
            " 0.10065991 0.14311205 0.19602559 0.07691192 0.19941725 0.19611462\n",
            " 0.15474505 0.13687672 0.07072881 0.1184973  0.09309604 0.14029662\n",
            " 0.05595134 0.19676271 0.09729012 0.02726622 0.0727581  0.28328702\n",
            " 0.18917621 0.11637535 0.27099992 0.08936157 0.09117224 0.11470511\n",
            " 0.0371481  0.02724734 0.08880836 0.         0.1630288  0.13042092\n",
            " 0.11492338 0.11227502 0.03369834 0.14800985 0.29124633 0.07289204\n",
            " 0.12699144 0.18374673 0.05351364 0.22769784 0.07467724 0.21244848\n",
            " 0.16033039 0.04127891 0.0412402  0.         0.08768564 0.12125965\n",
            " 0.10924951 0.12585605 0.22095422 0.0851744  0.05245187 0.09452338\n",
            " 0.02478313 0.06949673 0.17911602 0.01996125 0.14434193 0.05481995\n",
            " 0.05573222 0.05461131 0.06527412 0.20584952 0.03993039 0.05051814\n",
            " 0.1514175  0.16256815 0.22452088 0.06907101 0.25505933 0.03734485\n",
            " 0.09837447 0.07168666 0.04741148 0.09522921 0.15170636 0.07194389\n",
            " 0.07920472 0.17238028 0.05018103 0.11750487 0.19894484 0.07851933\n",
            " 0.04610991 0.12095319 0.07713796 0.11277799 0.09628236 0.\n",
            " 0.14977041 0.12762379 0.16218004 0.11079856 0.10183893 0.11772257\n",
            " 0.07011969 0.01526595 0.10182442 0.09893646 0.13561431 0.06943023\n",
            " 0.1431885  0.08224097 0.1048818  0.16993379 0.04972708 0.06968643\n",
            " 0.06445155 0.11006942 0.12084611 0.15762643 0.11666463 0.13302835\n",
            " 0.15129576 0.13274166 0.03828522 0.14784456 0.15195835 0.1530078\n",
            " 0.09538115 0.13392873 0.03111201 0.1991974  0.02323891 0.13111925\n",
            " 0.1476932  0.11520062 0.12991794 0.179262   0.08693045 0.09799003\n",
            " 0.16781202 0.07024758 0.08553609 0.13996396 0.24607578 0.1297123\n",
            " 0.13977907 0.07319498 0.12109241 0.07805558 0.06794687 0.12462573\n",
            " 0.07540658 0.04379396 0.29059514 0.11163008 0.12028074 0.15666092\n",
            " 0.04855396 0.25113861 0.16631226 0.14255041 0.2796048  0.05852906\n",
            " 0.07433185 0.         0.13289307 0.14550551 0.14005174 0.04731779\n",
            " 0.14041261 0.12024049 0.1440605  0.13347419 0.10218284 0.1674852\n",
            " 0.18905955]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "similarity_scores.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-WU2eTc5GwZ4",
        "outputId": "b541ceb9-bc5a-4725-86cc-57cf4d0613aa"
      },
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(241, 241)"
            ]
          },
          "metadata": {},
          "execution_count": 90
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Main function that calculates details of four similar books based on the Book-Title passed into the function,\n",
        "# utilizing similarity scores calculated using cosine similarity.\n",
        "\n",
        "\n",
        "def recommend(book_name):\n",
        "    # index fetch\n",
        "    index = np.where(pt.index==book_name)[0][0]\n",
        "    similar_items = sorted(list(enumerate(similarity_scores[index])),key=lambda x:x[1],reverse=True)[1:5]\n",
        "\n",
        "    data = []\n",
        "    for i in similar_items:\n",
        "        item = []\n",
        "        temp_df = books[books['Book-Title'] == pt.index[i[0]]]\n",
        "        item.extend(list(temp_df.drop_duplicates('Book-Title')['Book-Title'].values))\n",
        "        item.extend(list(temp_df.drop_duplicates('Book-Title')['Book-Author'].values))\n",
        "        item.extend(list(temp_df.drop_duplicates('Book-Title')['Image-URL-M'].values))\n",
        "\n",
        "        data.append(item)\n",
        "\n",
        "    return data"
      ],
      "metadata": {
        "id": "SiX7TUmaGwWS"
      },
      "execution_count": 91,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Testing recommed function which is our main function for giving us 4 recommendations based on our input\n",
        "\n",
        "recommend('Whispers')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_bW1CVVjGwTE",
        "outputId": "fa571424-e7d9-4642-a028-dfc484da49d4"
      },
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[['Hideaway',\n",
              "  'Dean R. Koontz',\n",
              "  'http://images.amazon.com/images/P/042513525X.01.MZZZZZZZ.jpg'],\n",
              " ['Tell No One',\n",
              "  'Harlan Coben',\n",
              "  'http://images.amazon.com/images/P/0440236703.01.MZZZZZZZ.jpg'],\n",
              " [\"Daddy's Little Girl\",\n",
              "  'Mary Higgins Clark',\n",
              "  'http://images.amazon.com/images/P/0743206045.01.MZZZZZZZ.jpg'],\n",
              " ['The Dark Half',\n",
              "  'Stephen King',\n",
              "  'http://images.amazon.com/images/P/0451167317.01.MZZZZZZZ.jpg']]"
            ]
          },
          "metadata": {},
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Dumping data into a pickle file for use in creating a Flask app.\n"
      ],
      "metadata": {
        "id": "oKyo_yZ_G_bL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pickle\n",
        "pickle.dump(popular_df,open('popular.pkl','wb'))"
      ],
      "metadata": {
        "id": "Kfd5ofqLGwQb"
      },
      "execution_count": 93,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "books.drop_duplicates('Book-Title')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 823
        },
        "id": "sBD43scjGwNx",
        "outputId": "72182217-3ef0-465b-fbc8-c2eb5599bc00"
      },
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             ISBN                                         Book-Title  \\\n",
              "0      0195153448                                Classical Mythology   \n",
              "1      0002005018                                       Clara Callan   \n",
              "2      0060973129                               Decision in Normandy   \n",
              "3      0374157065  Flu: The Story of the Great Influenza Pandemic...   \n",
              "4      0393045218                             The Mummies of Urumchi   \n",
              "...           ...                                                ...   \n",
              "62877  2213600821                                   Longtemps: Roman   \n",
              "62878  2020235242                                        Grand amour   \n",
              "62879  0679417648               Advanced French for Exceptional Cats   \n",
              "62880  067940676X  French for Cats: All the French Your Cat Will ...   \n",
              "62881  1857026691  Fermat's Last Theorem: The Story of a Riddle T...   \n",
              "\n",
              "                Book-Author  Year-Of-Publication                   Publisher  \\\n",
              "0        Mark P. O. Morford                 2002     Oxford University Press   \n",
              "1      Richard Bruce Wright                 2001       HarperFlamingo Canada   \n",
              "2              Carlo D'Este                 1991             HarperPerennial   \n",
              "3          Gina Bari Kolata                 1999        Farrar Straus Giroux   \n",
              "4           E. J. W. Barber                 1999  W. W. Norton &amp; Company   \n",
              "...                     ...                  ...                         ...   \n",
              "62877          Erik Orsenna                 1998                      Fayard   \n",
              "62878          Erik Orsenna                 1997                       Seuil   \n",
              "62879     Henri De LA Barbe                 1992            Random House Inc   \n",
              "62880     Henri De LA Barbe                 1991               Villard Books   \n",
              "62881           Simon Singh                 1998               Fourth Estate   \n",
              "\n",
              "                                             Image-URL-S  \\\n",
              "0      http://images.amazon.com/images/P/0195153448.0...   \n",
              "1      http://images.amazon.com/images/P/0002005018.0...   \n",
              "2      http://images.amazon.com/images/P/0060973129.0...   \n",
              "3      http://images.amazon.com/images/P/0374157065.0...   \n",
              "4      http://images.amazon.com/images/P/0393045218.0...   \n",
              "...                                                  ...   \n",
              "62877  http://images.amazon.com/images/P/2213600821.0...   \n",
              "62878  http://images.amazon.com/images/P/2020235242.0...   \n",
              "62879  http://images.amazon.com/images/P/0679417648.0...   \n",
              "62880  http://images.amazon.com/images/P/067940676X.0...   \n",
              "62881  http://images.amazon.com/images/P/1857026691.0...   \n",
              "\n",
              "                                             Image-URL-M  \\\n",
              "0      http://images.amazon.com/images/P/0195153448.0...   \n",
              "1      http://images.amazon.com/images/P/0002005018.0...   \n",
              "2      http://images.amazon.com/images/P/0060973129.0...   \n",
              "3      http://images.amazon.com/images/P/0374157065.0...   \n",
              "4      http://images.amazon.com/images/P/0393045218.0...   \n",
              "...                                                  ...   \n",
              "62877  http://images.amazon.com/images/P/2213600821.0...   \n",
              "62878  http://images.amazon.com/images/P/2020235242.0...   \n",
              "62879  http://images.amazon.com/images/P/0679417648.0...   \n",
              "62880  http://images.amazon.com/images/P/067940676X.0...   \n",
              "62881            http://images.amazon.com/images/P/18570   \n",
              "\n",
              "                                             Image-URL-L  \n",
              "0      http://images.amazon.com/images/P/0195153448.0...  \n",
              "1      http://images.amazon.com/images/P/0002005018.0...  \n",
              "2      http://images.amazon.com/images/P/0060973129.0...  \n",
              "3      http://images.amazon.com/images/P/0374157065.0...  \n",
              "4      http://images.amazon.com/images/P/0393045218.0...  \n",
              "...                                                  ...  \n",
              "62877  http://images.amazon.com/images/P/2213600821.0...  \n",
              "62878  http://images.amazon.com/images/P/2020235242.0...  \n",
              "62879  http://images.amazon.com/images/P/0679417648.0...  \n",
              "62880  http://images.amazon.com/images/P/067940676X.0...  \n",
              "62881                                                NaN  \n",
              "\n",
              "[57743 rows x 8 columns]"
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              "      <td>0195153448</td>\n",
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              "      <td>Mark P. O. Morford</td>\n",
              "      <td>2002</td>\n",
              "      <td>Oxford University Press</td>\n",
              "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0195153448.0...</td>\n",
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              "      <td>HarperFlamingo Canada</td>\n",
              "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0002005018.0...</td>\n",
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              "      <td>http://images.amazon.com/images/P/0060973129.0...</td>\n",
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              "      <th>3</th>\n",
              "      <td>0374157065</td>\n",
              "      <td>Flu: The Story of the Great Influenza Pandemic...</td>\n",
              "      <td>Gina Bari Kolata</td>\n",
              "      <td>1999</td>\n",
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              "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0374157065.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0393045218</td>\n",
              "      <td>The Mummies of Urumchi</td>\n",
              "      <td>E. J. W. Barber</td>\n",
              "      <td>1999</td>\n",
              "      <td>W. W. Norton &amp;amp; Company</td>\n",
              "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0393045218.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>62877</th>\n",
              "      <td>2213600821</td>\n",
              "      <td>Longtemps: Roman</td>\n",
              "      <td>Erik Orsenna</td>\n",
              "      <td>1998</td>\n",
              "      <td>Fayard</td>\n",
              "      <td>http://images.amazon.com/images/P/2213600821.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/2213600821.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/2213600821.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62878</th>\n",
              "      <td>2020235242</td>\n",
              "      <td>Grand amour</td>\n",
              "      <td>Erik Orsenna</td>\n",
              "      <td>1997</td>\n",
              "      <td>Seuil</td>\n",
              "      <td>http://images.amazon.com/images/P/2020235242.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/2020235242.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/2020235242.0...</td>\n",
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              "    <tr>\n",
              "      <th>62879</th>\n",
              "      <td>0679417648</td>\n",
              "      <td>Advanced French for Exceptional Cats</td>\n",
              "      <td>Henri De LA Barbe</td>\n",
              "      <td>1992</td>\n",
              "      <td>Random House Inc</td>\n",
              "      <td>http://images.amazon.com/images/P/0679417648.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0679417648.0...</td>\n",
              "      <td>http://images.amazon.com/images/P/0679417648.0...</td>\n",
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              "      <td>Henri De LA Barbe</td>\n",
              "      <td>1991</td>\n",
              "      <td>Villard Books</td>\n",
              "      <td>http://images.amazon.com/images/P/067940676X.0...</td>\n",
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              "      <td>NaN</td>\n",
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              "<p>57743 rows × 8 columns</p>\n",
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              "        const element = document.querySelector('#df-769ed8f6-be1e-4038-859b-a6a2afc2a06a');\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
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              "    border: 2px solid var(--fill-color);\n",
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              "    border-bottom-color: var(--fill-color);\n",
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              "  }\n",
              "\n",
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              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
              "      border-color: transparent;\n",
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              "    30% {\n",
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              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-b0fc17cd-5477-42b9-8ad7-70fc095e4d20 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"books\",\n  \"rows\": 57743,\n  \"fields\": [\n    {\n      \"column\": \"ISBN\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 57743,\n        \"samples\": [\n          \"0373708777\",\n          \"0440237467\",\n          \"0375701966\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Book-Title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 57743,\n        \"samples\": [\n          \"Man Who Loved Christmas (America'S Bravest) (Harlequin Superromance, No. 877)\",\n          \"Guilty Little Secrets\",\n          \"The Moviegoer\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Book-Author\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 27864,\n        \"samples\": [\n          \"Joseph F Girzone\",\n          \"Werner Keller\",\n          \"Alex Kennedy\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Year-Of-Publication\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 256,\n        \"min\": 0,\n        \"max\": 2030,\n        \"num_unique_values\": 82,\n        \"samples\": [\n          1961,\n          2002,\n          1952\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Publisher\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5657,\n        \"samples\": [\n          \"Ars Edition\",\n          \"Heinle\",\n          \"American Diabetes Association\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Image-URL-S\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 57743,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/0373708777.01.THUMBZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0440237467.01.THUMBZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0375701966.01.THUMBZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Image-URL-M\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 57743,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/0373708777.01.MZZZZZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0440237467.01.MZZZZZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0375701966.01.MZZZZZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Image-URL-L\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 57742,\n        \"samples\": [\n          \"http://images.amazon.com/images/P/0373708777.01.LZZZZZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0515084891.01.LZZZZZZZ.jpg\",\n          \"http://images.amazon.com/images/P/0375701966.01.LZZZZZZZ.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 94
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pickle.dump(pt,open('pt.pkl','wb'))\n",
        "pickle.dump(books,open('books.pkl','wb'))\n",
        "pickle.dump(similarity_scores,open('similarity_scores.pkl','wb'))"
      ],
      "metadata": {
        "id": "DKjj0zomGwK1"
      },
      "execution_count": 95,
      "outputs": []
    }
  ]
}