challenge_4_python_pandas.ipynb

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      "source": [
        "<a href=\"https://colab.research.google.com/github/abiflynn/python_pandas/blob/main/challenge_4_python_pandas.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6EHUMqxJJYrz"
      },
      "source": [
        "#Challenge 4: Python Pandas"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "WBl-_GGwJYr1"
      },
      "outputs": [],
      "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",
        "authors = pd.read_csv(gd_path(files_id[\"authors\"]), sep=\";\")\n",
        "publishers = pd.read_csv(gd_path(files_id[\"publishers\"]), sep=\";\")\n",
        "titles = pd.read_csv(gd_path(files_id[\"titles\"]), sep=\";\")\n",
        "employee = pd.read_csv(gd_path(files_id[\"employee\"]), sep=\";\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QOIJ0WT3JYr2"
      },
      "source": [
        "## 1. From how many different states are our authors?"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "CsYVPrDSJYr3",
        "outputId": "b84a314e-7144-4d74-97de-c1c0b522ceb3",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "(\n",
        "authors\n",
        "    ['state']\n",
        "    .drop_duplicates()\n",
        "    .count()\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9hhPED8yJYr4"
      },
      "source": [
        "## 2. How many publishers are based in the USA?"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "1_J9730KJYr4",
        "outputId": "69c56270-25fd-48a7-dade-99fb9655cd22",
        "colab": {
          "base_uri": "https://localhost:8080/"
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "6"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "(\n",
        "publishers\n",
        "    .loc[publishers['country']=='USA']\n",
        "    ['pub_id']\n",
        "    .count()\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HVVkYDvVJYr4"
      },
      "source": [
        "## 3. What's the average quantity of titles sold per sale by store 7131?"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "HzrIQnbWJYr4",
        "outputId": "a0ec5768-eedf-43d1-8947-032811346610",
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      "outputs": [
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "21.666666666666668"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "(\n",
        "sales\n",
        "    .loc[sales['stor_id']==7131]\n",
        "    ['qty']\n",
        "    .mean()\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XzAr-vUnJYr5"
      },
      "source": [
        "## 4. When was the employee with the highest level hired?"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "TWCIJLWMJYr5",
        "outputId": "bfdd1b35-c23c-446b-f81a-e251ed71bd09",
        "colab": {
          "base_uri": "https://localhost:8080/"
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "26    1989-03-01 00:00:00\n",
              "Name: hire_date, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "(\n",
        "employee\n",
        "    .sort_values(by = 'job_lvl', ascending = False)\n",
        "    .head(n = 1)\n",
        "    ['hire_date']\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qak7EdacJYr5"
      },
      "source": [
        "## 5. What's the average price of psychology books?"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "vrUKzo7oJYr5",
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        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "13.504"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "(\n",
        "titles\n",
        "    .loc[titles['type']=='psychology']\n",
        "    ['price']\n",
        "    .mean()\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gin6FL30JYr6"
      },
      "source": [
        "## 6. Which category of books has had more year-to-date sales, \"business\" or \"popular_comp\"? You can write two queries to answer this question."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g2fYyEwQJYr6"
      },
      "source": [
        "### business"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "Wo2e9ZqgJYr6",
        "outputId": "04ecf7ef-8830-4533-f7b5-5b9d88dba3b8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "9939"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ],
      "source": [
        "(\n",
        "titles\n",
        "    .loc[titles['type']=='psychology']\n",
        "    ['ytd_sales']\n",
        "    .sum()  \n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OIBRg1NPJYr6"
      },
      "source": [
        "### popular_comp"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "nsD-8EOqJYr6",
        "outputId": "e894b627-5c87-408d-e256-4a1ea4df10f9",
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "12875"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "(\n",
        "titles\n",
        "    .loc[titles['type']=='popular_comp']\n",
        "    ['ytd_sales']\n",
        "    .sum()  \n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UfHrWET6JYr6"
      },
      "source": [
        "## 7. What's the title and the price of the most expensive book?"
      ]
    },
    {
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      "execution_count": 9,
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                      title  price\n",
              "7  But Is It User Friendly?  22.95"
            ],
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              "      <th>7</th>\n",
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          },
          "metadata": {},
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      "source": [
        "(\n",
        "titles\n",
        "    .sort_values(by = 'price', ascending = False)\n",
        "    .head(n = 1)\n",
        "    [['title', 'price']]\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mOc0XR29JYr7"
      },
      "source": [
        "## 8. What's the price of the most expensive psychology book?"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "lFKUqGmDJYr7",
        "outputId": "34a12fc3-fe7c-40cf-e7e6-798b7df86df1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "21.59"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "(\n",
        "titles\n",
        "    .loc[titles['type']=='psychology']\n",
        "    ['price'].max()\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ew9Z3xW4JYr7"
      },
      "source": [
        "## 9. How many authors live in either San Jose or Salt Lake City\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "myTJ5jLcJYr7",
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        "colab": {
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ],
      "source": [
        "(\n",
        "authors\n",
        "    .loc[(authors['city']=='San Jose')\n",
        "        |(authors['city']=='Salt Lake City')]\n",
        "    ['au_id']\n",
        "    .count()\n",
        ")"
      ]
    }
  ],
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    "kernelspec": {
      "display_name": "Pandas",
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