challenge_9_python_pandas.ipynb

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        "<a href=\"https://colab.research.google.com/github/abiflynn/python_pandas/blob/main/challenge_9_python_pandas.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "cell_type": "markdown",
      "metadata": {
        "id": "9mvTjJt3NZm4"
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      "source": [
        "#Challenge 9: Python Pandas"
      ]
    },
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      "execution_count": 1,
      "metadata": {
        "id": "cGgX0UG9NZm3"
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      "source": [
        "# import libraries\n",
        "import pandas as pd\n",
        "\n",
        "# load data\n",
        "# This code is made to load our data stored on Google Drive\n",
        "def gd_path(file_id):\n",
        "    \"\"\"Generate a shareable link from Google Drive file id.\"\"\"\n",
        "    return f\"https://drive.google.com/uc?export=download&id={file_id}\"\n",
        "\n",
        "# Google Drive file ids\n",
        "files_id = {\n",
        "    \"titleauthor\": \"1F1JOiYXStWacOBca6coNVfyVtoST7ZgD\",\n",
        "    \"titles\": \"1PLdn50N9GRa53ZbuVWo0l47F_IXdvlEm\",\n",
        "    \"stores\": \"1f-GCgip7O93CpbAkYvOsc21eKnSOSHsQ\", \n",
        "    \"sales\": \"1fzFc9rwYmVIPaGOFmhLVxCi3kg19vNU2\", \n",
        "    \"roysched\": \"1zPRZPoFPEMKyrNR5VSENeYFHGCBZmxbs\", \n",
        "    \"publishers\": \"1s9E8_AVOziTrowb3wyh2jg3PV763VOyq\",\n",
        "    \"pub_info\": \"1OEgogcGKy--EpuVj0kqq7lyBZNGW6YSv\", \n",
        "    \"jobs\": \"1V1Za8hUdXD-vJOyRdX4aQV5wanIff2eM\", \n",
        "    \"employee\": \"1h9mUjsVqpP74b1w0x7KOw37n_n9Ulkt5\", \n",
        "    \"discounts\": \"111dvSxMcCsTgOuV1wDSKFJxO1Xcxd9VS\", \n",
        "    \"authors\": \"1fEF89Nhe61EebAljKlwFwfEuokK0o6aJ\"\n",
        "}\n",
        "\n",
        "# Read data from Google Drive\n",
        "sales = pd.read_csv(gd_path(files_id[\"sales\"]), sep=\";\")\n",
        "titles = pd.read_csv(gd_path(files_id[\"titles\"]), sep=\";\")\n",
        "employee = pd.read_csv(gd_path(files_id[\"employee\"]), sep=\";\")\n",
        "stores = pd.read_csv(gd_path(files_id[\"stores\"]), sep=\";\")\n",
        "publishers = pd.read_csv(gd_path(files_id[\"publishers\"]), sep=\";\")\n",
        "# Replace the logos pandas can't read with '?'\n",
        "pub_info = pd.read_csv(gd_path(files_id[\"pub_info\"]), sep=\";\", encoding_errors = 'replace')\n",
        "discounts = pd.read_csv(gd_path(files_id[\"discounts\"]), sep=\";\")\n",
        "jobs = pd.read_csv(gd_path(files_id[\"jobs\"]), sep=\";\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mpIKEmqbNZm5"
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      "source": [
        "##  1. Select the table sales, assigning the alias \"s\" to it. \n",
        "   Select the column ord_num using the syntax `table_alias[column]`\n"
      ]
    },
    {
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      "execution_count": 2,
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          "data": {
            "text/plain": [
              "0         6871\n",
              "1         722a\n",
              "2        A2976\n",
              "3     QA7442.3\n",
              "4        D4482\n",
              "5        P2121\n",
              "6        P2121\n",
              "7        P2121\n",
              "8      N914008\n",
              "9      N914014\n",
              "10      P3087a\n",
              "11      P3087a\n",
              "12      P3087a\n",
              "13      P3087a\n",
              "14      QQ2299\n",
              "15       TQ456\n",
              "16        X999\n",
              "17    423LL922\n",
              "18    423LL930\n",
              "19        P723\n",
              "20     QA879.1\n",
              "Name: ord_num, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "s = sales\n",
        "s['ord_num']"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DsbnmkVSNZm6"
      },
      "source": [
        "## 2. Select the title and publisher name of all books"
      ]
    },
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      "execution_count": 14,
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            "text/plain": [
              "                                               title              pub_name\n",
              "0                The Busy Executive's Database Guide  Algodata Infosystems\n",
              "1  Cooking with Computers: Surreptitious Balance ...  Algodata Infosystems\n",
              "2                      Straight Talk About Computers  Algodata Infosystems\n",
              "3                           But Is It User Friendly?  Algodata Infosystems\n",
              "4                          Secrets of Silicon Valley  Algodata Infosystems"
            ],
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              "      <td>Algodata Infosystems</td>\n",
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              "      <td>Algodata Infosystems</td>\n",
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              "      <td>Secrets of Silicon Valley</td>\n",
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      ],
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        "(\n",
        "titles\n",
        "    .merge(right= publishers, how = 'inner', on = 'pub_id')\n",
        "    [['title', 'pub_name']]\n",
        ").head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3JULm8j0NZm6"
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      "source": [
        "## 3. Select the order number, quantity and book title for all sales."
      ]
    },
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            "text/plain": [
              "    ord_num  qty                                title\n",
              "0      6871    5  The Busy Executive's Database Guide\n",
              "1      722a    3                  Is Anger the Enemy?\n",
              "2     A2976   50            Secrets of Silicon Valley\n",
              "3  QA7442.3   75                  Is Anger the Enemy?\n",
              "4     D4482   10                  Is Anger the Enemy?"
            ],
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              "                                                     [key], {});\n",
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        "(\n",
        "sales\n",
        "    .merge(right = titles, how = 'left', on = 'title_id')\n",
        "    [['ord_num', 'qty', 'title']]\n",
        ").head()"
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      "cell_type": "markdown",
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        "id": "t6nYqYUANZm7"
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      "source": [
        "## 4. Select the full name of all employees and the name of the publisher they work for"
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            "text/plain": [
              "     fname      lname              pub_name\n",
              "0     Aria       Cruz  Algodata Infosystems\n",
              "1  Annette     Roulet    Lucerne Publishing\n",
              "2      Ann      Devon        Scootney Books\n",
              "3  Anabela  Domingues      Binnet & Hardley\n",
              "4   Carlos   Hernadez    Lucerne Publishing"
            ],
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Aria</td>\n",
              "      <td>Cruz</td>\n",
              "      <td>Algodata Infosystems</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Annette</td>\n",
              "      <td>Roulet</td>\n",
              "      <td>Lucerne Publishing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Ann</td>\n",
              "      <td>Devon</td>\n",
              "      <td>Scootney Books</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Anabela</td>\n",
              "      <td>Domingues</td>\n",
              "      <td>Binnet &amp; Hardley</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Carlos</td>\n",
              "      <td>Hernadez</td>\n",
              "      <td>Lucerne Publishing</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c93cbf52-5def-4e6f-8d28-85910e8e2066')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "\n",
              "    .colab-df-convert: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",
              "      fill: #174EA6;\n",
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              "\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-c93cbf52-5def-4e6f-8d28-85910e8e2066 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-c93cbf52-5def-4e6f-8d28-85910e8e2066');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ],
      "source": [
        "(\n",
        "employee\n",
        "    .merge(right = publishers, how = 'left', on = 'pub_id')\n",
        "    [['fname', 'lname', 'pub_name']]\n",
        ").head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4esOehApNZm7"
      },
      "source": [
        "## 5. Select the full name and job description of all employees."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "fYx1DDMvNZm7",
        "outputId": "1ec2f1e9-41ac-41f0-e8aa-0067be0d1684",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     fname      lname                     job_desc\n",
              "0     Aria       Cruz          Productions Manager\n",
              "1  Annette     Roulet              Managing Editor\n",
              "2      Ann      Devon  Business Operations Manager\n",
              "3  Anabela  Domingues     Public Relations Manager\n",
              "4   Carlos   Hernadez                    Publisher"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-ba874243-cc98-4472-87ab-6065797e8008\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>fname</th>\n",
              "      <th>lname</th>\n",
              "      <th>job_desc</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Aria</td>\n",
              "      <td>Cruz</td>\n",
              "      <td>Productions Manager</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Annette</td>\n",
              "      <td>Roulet</td>\n",
              "      <td>Managing Editor</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Ann</td>\n",
              "      <td>Devon</td>\n",
              "      <td>Business Operations Manager</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Anabela</td>\n",
              "      <td>Domingues</td>\n",
              "      <td>Public Relations Manager</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Carlos</td>\n",
              "      <td>Hernadez</td>\n",
              "      <td>Publisher</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ba874243-cc98-4472-87ab-6065797e8008')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "    }\n",
              "\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",
              "    [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-ba874243-cc98-4472-87ab-6065797e8008 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-ba874243-cc98-4472-87ab-6065797e8008');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ],
      "source": [
        "(\n",
        "employee\n",
        "    .merge(right = jobs, how = 'left', on = 'job_id')\n",
        "    [['fname', 'lname', 'job_desc']]\n",
        ").head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "z7D18UbiNZm7"
      },
      "source": [
        "## 6. Select the full name, job description and publisher name of all employees\n",
        "   Hint: you will have to perform 2 joins in a single query to merge 3 tables together."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "-hv03Mb1NZm7",
        "outputId": "f35cbec5-c15e-42ed-92fd-457032a748cc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     fname      lname                     job_desc              pub_name\n",
              "0     Aria       Cruz          Productions Manager  Algodata Infosystems\n",
              "1  Annette     Roulet              Managing Editor    Lucerne Publishing\n",
              "2      Ann      Devon  Business Operations Manager        Scootney Books\n",
              "3  Anabela  Domingues     Public Relations Manager      Binnet & Hardley\n",
              "4   Carlos   Hernadez                    Publisher    Lucerne Publishing"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-de76006f-e9fa-4bd5-acab-2097e223dd37\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "    .dataframe tbody tr th {\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>fname</th>\n",
              "      <th>lname</th>\n",
              "      <th>job_desc</th>\n",
              "      <th>pub_name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Aria</td>\n",
              "      <td>Cruz</td>\n",
              "      <td>Productions Manager</td>\n",
              "      <td>Algodata Infosystems</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Annette</td>\n",
              "      <td>Roulet</td>\n",
              "      <td>Managing Editor</td>\n",
              "      <td>Lucerne Publishing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Ann</td>\n",
              "      <td>Devon</td>\n",
              "      <td>Business Operations Manager</td>\n",
              "      <td>Scootney Books</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Anabela</td>\n",
              "      <td>Domingues</td>\n",
              "      <td>Public Relations Manager</td>\n",
              "      <td>Binnet &amp; Hardley</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Carlos</td>\n",
              "      <td>Hernadez</td>\n",
              "      <td>Publisher</td>\n",
              "      <td>Lucerne Publishing</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-de76006f-e9fa-4bd5-acab-2097e223dd37')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\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",
              "    [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-de76006f-e9fa-4bd5-acab-2097e223dd37 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-de76006f-e9fa-4bd5-acab-2097e223dd37');\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",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ],
      "source": [
        "(\n",
        "employee\n",
        "    .merge(right = publishers, how = 'left', on = 'pub_id')\n",
        "    .merge(right = jobs, how = 'left', on = 'job_id')\n",
        "    [['fname', 'lname', 'job_desc', 'pub_name']]\n",
        ").head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "v1HM45WnNZm8"
      },
      "source": [
        "## 7. Select the full name, job description and publisher name of employees that work for Binnet & Hardley.\n",
        "   Hint: you can add a `.loc[]` clause after the joins"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "rgC8hniUNZm8",
        "outputId": "fd1d3a6a-81b2-4f5f-bc7a-213ecd6ed129",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        fname      lname                  job_desc          pub_name\n",
              "3     Anabela  Domingues  Public Relations Manager  Binnet & Hardley\n",
              "6      Daniel     Tonini        Operations Manager  Binnet & Hardley\n",
              "8   Elizabeth    Lincoln                  Designer  Binnet & Hardley\n",
              "11      Helen    Bennett                    Editor  Binnet & Hardley\n",
              "17     Lesley      Brown         Marketing Manager  Binnet & Hardley\n",
              "21    Martine      Rance      Acquisitions Manager  Binnet & Hardley\n",
              "30      Peter    Franken       Productions Manager  Binnet & Hardley\n",
              "31      Paolo    Accorti      Sales Representative  Binnet & Hardley\n",
              "36       Paul    Henriot                 Publisher  Binnet & Hardley\n",
              "41   Victoria   Ashworth           Managing Editor  Binnet & Hardley"
            ],
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              "\n",
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              "      <th>3</th>\n",
              "      <td>Anabela</td>\n",
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              "      <td>Public Relations Manager</td>\n",
              "      <td>Binnet &amp; Hardley</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Daniel</td>\n",
              "      <td>Tonini</td>\n",
              "      <td>Operations Manager</td>\n",
              "      <td>Binnet &amp; Hardley</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Elizabeth</td>\n",
              "      <td>Lincoln</td>\n",
              "      <td>Designer</td>\n",
              "      <td>Binnet &amp; Hardley</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Helen</td>\n",
              "      <td>Bennett</td>\n",
              "      <td>Editor</td>\n",
              "      <td>Binnet &amp; Hardley</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Lesley</td>\n",
              "      <td>Brown</td>\n",
              "      <td>Marketing Manager</td>\n",
              "      <td>Binnet &amp; Hardley</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Martine</td>\n",
              "      <td>Rance</td>\n",
              "      <td>Acquisitions Manager</td>\n",
              "      <td>Binnet &amp; Hardley</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>Peter</td>\n",
              "      <td>Franken</td>\n",
              "      <td>Productions Manager</td>\n",
              "      <td>Binnet &amp; Hardley</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>Paolo</td>\n",
              "      <td>Accorti</td>\n",
              "      <td>Sales Representative</td>\n",
              "      <td>Binnet &amp; Hardley</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>Paul</td>\n",
              "      <td>Henriot</td>\n",
              "      <td>Publisher</td>\n",
              "      <td>Binnet &amp; Hardley</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>Victoria</td>\n",
              "      <td>Ashworth</td>\n",
              "      <td>Managing Editor</td>\n",
              "      <td>Binnet &amp; Hardley</td>\n",
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              "            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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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "pub_jobs = (\n",
        "employee\n",
        "    .merge(right = publishers, how = 'left', on = 'pub_id')\n",
        "    .merge(right = jobs, how = 'left', on = 'job_id')\n",
        "    \n",
        ")\n",
        "\n",
        "(\n",
        "pub_jobs\n",
        "    .loc[pub_jobs['pub_name']=='Binnet & Hardley']\n",
        "    [['fname', 'lname', 'job_desc', 'pub_name']]\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Jm3FTKioNZm8"
      },
      "source": [
        "## 8. Select the name and PR Info (from the pub_info table) from all publishers based in Berkeley, California."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "88lvIYwQNZm8",
        "outputId": "b68f3fbb-0cb9-4ed4-bbc7-b8540bb04614",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 81
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               pub_name                                            pr_info\n",
              "2  Algodata Infosystems  This is sample text data for Algodata Infosyst..."
            ],
            "text/html": [
              "\n",
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              "      <div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>pub_name</th>\n",
              "      <th>pr_info</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Algodata Infosystems</td>\n",
              "      <td>This is sample text data for Algodata Infosyst...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "              title=\"Convert this dataframe to an interactive table.\"\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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              "  </svg>\n",
              "      </button>\n",
              "      \n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-5a60b534-144f-4a95-a814-94a90e32a5e5 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-5a60b534-144f-4a95-a814-94a90e32a5e5');\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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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
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              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "(\n",
        "publishers\n",
        "    .merge(right = pub_info, how = 'left', on = 'pub_id')\n",
        "    .loc[(publishers['state']=='CA')\n",
        "        &(publishers['city']=='Berkeley')]\n",
        "    [['pub_name', 'pr_info']]\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OSpVlxODNZm8"
      },
      "source": [
        "## 9. Selet all columns from the discounts table.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "ZP2vXY-2NZm8",
        "outputId": "fa062bec-bc2d-4501-d268-ccb45fa886cd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        discounttype  stor_id  lowqty  highqty  discount\n",
              "0   Initial Customer      NaN       0        0      10.5\n",
              "1    Volume Discount      NaN     100     1000       6.7\n",
              "2  Customer Discount   8042.0       0        0       5.0"
            ],
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              "      <th>2</th>\n",
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              "      <td>8042.0</td>\n",
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              "        async function convertToInteractive(key) {\n",
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              "          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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              "  "
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      "source": [
        "discounts"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bDrWTd-3NZm9"
      },
      "source": [
        "## 10. Select all store names, their store id and the discounts they offer.\n"
      ]
    },
    {
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          "data": {
            "text/plain": [
              "                              stor_name  stor_id       discounttype  discount\n",
              "0                   Eric the Read Books     6380                NaN       NaN\n",
              "1                              Barnum's     7066                NaN       NaN\n",
              "2                          News & Brews     7067                NaN       NaN\n",
              "3  Doc-U-Mat: Quality Laundry and Books     7131                NaN       NaN\n",
              "4                    Fricative Bookshop     7896                NaN       NaN\n",
              "5                              Bookbeat     8042  Customer Discount       5.0"
            ],
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              "      <th></th>\n",
              "      <th>stor_name</th>\n",
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              "      <td>News &amp; Brews</td>\n",
              "      <td>7067</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <th>3</th>\n",
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              "      <td>7896</td>\n",
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              "      <th>5</th>\n",
              "      <td>Bookbeat</td>\n",
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              "      <td>Customer Discount</td>\n",
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        "(\n",
        "stores\n",
        "    .merge(right = discounts, how = 'left', on = 'stor_id')\n",
        "    [['stor_name', 'stor_id', 'discounttype', 'discount']]\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
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      },
      "source": [
        "## 11. Select all store names and the discounts they offer.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
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        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  stor_name  stor_id       discounttype  discount\n",
              "0  Bookbeat     8042  Customer Discount       5.0"
            ],
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              "      <td>5.0</td>\n",
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          "metadata": {},
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      ],
      "source": [
        "(\n",
        "stores\n",
        "    .merge(right = discounts, how = 'inner', on = 'stor_id')\n",
        "    [['stor_name', 'stor_id', 'discounttype', 'discount']]\n",
        ")"
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    }
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