{
  "cells": [
    {
      "cell_type": "markdown",
      "id": "dL7R54pATR6w",
      "metadata": {
        "id": "dL7R54pATR6w"
      },
      "source": [
        "**Phúc Lâm Lab04**"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "15e9ec4f",
      "metadata": {
        "id": "15e9ec4f"
      },
      "source": [
        "# KHÁM PHÁ DỮ LIỆU\n",
        "\n",
        "Dữ liệu chứa trong file `tips.csv` chứa thông tin tiền tip của khách hàng tại một nhà hàng. Dữ liệu có các thông tin sau:\n",
        "\n",
        "- `total_bill`: tổng hoá đơn (USD)\n",
        "- `tip`: tiền tip/ tiền boa (USD)\n",
        "- `sex`: giới tính người thanh toán hóa đơn\n",
        "- `smoker`: có hút thuốc hay không\n",
        "- `day`: ngày trong tuần\n",
        "- `time`: thời gian dùng bữa(buổi sáng, buổi trưa, buổi tối)\n",
        "- `size`: số lượng người tham gia\n",
        "\n",
        "Bạn hãy thực hiện thống kê mô tả để tìm hiểu về hành vi tip của khách hàng tại nhà hàng"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "mMgsQhNWTe8N",
      "metadata": {
        "id": "mMgsQhNWTe8N"
      },
      "outputs": [],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "02bd0e4c",
      "metadata": {
        "id": "02bd0e4c"
      },
      "source": [
        "## HIỂU DỮ LIỆU"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "d846edfc",
      "metadata": {
        "id": "d846edfc"
      },
      "source": [
        "1. Đọc dữ liệu\n",
        "2. Xoá cột `Unnamed: 0`\n",
        "3. Cho biết dữ liệu có bao nhiêu dòng, bao nhiêu thuộc tính.\n",
        "4. Trong các thuộc tính, thuộc tính nào là thuộc tính phân loại, thuộc tính nào là thuộc tính định lượng\n",
        "5. Có bao nhiêu nam, bao nhiêu nữ. Tỷ lệ bao nhiêu?\n",
        "6. Có bao nhiêu người hút thuốc. Tỷ lệ bao nhiêu?\n",
        "7. Ngày nào trong tuần khách hàng hay đến dùng bữa nhất. Tỷ lệ bao nhiêu?\n",
        "8. Nhà hàng phục vụ bữa ăn nào nhiều nhất (Breakfast, Lunch, Dinner)?\n",
        "9. Nhóm khách hàng dùng bữa tại nhà hàng nhiều nhất là bao nhiêu người?\n",
        "10. Trung bình trong một bữa ăn nhà hàng phục vụ mấy khách?"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "nUlOf130UtVs",
      "metadata": {
        "id": "nUlOf130UtVs"
      },
      "outputs": [],
      "source": [
        "#1. Đọc dữ liệu\n",
        "import pandas as pd\n",
        "\n",
        "# Đọc dữ liệu từ file tips.csv\n",
        "df = pd.read_csv('/tips.csv')\n",
        "\n",
        "# Xoá cột Unnamed: 0\n",
        "df = df.drop(columns=['Unnamed: 0'])\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "oT9y4bpDVptE",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oT9y4bpDVptE",
        "outputId": "5d978652-3385-4230-aeff-8dd4154787b7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Số dòng: 244\n",
            "Số cột: 7\n",
            "Số lượng dòng: 244, Số lượng thuộc tính: 7\n"
          ]
        }
      ],
      "source": [
        "# 3. Cho biết dữ liệu có bao nhiêu dòng, bao nhiêu thuộc tính.\n",
        "print(f'Số dòng: {df.shape[0]}')\n",
        "print(f'Số cột: {df.shape[1]}')\n",
        "\n",
        "# Số lượng dòng và thuộc tính\n",
        "num_rows, num_columns = df.shape\n",
        "print(f\"Số lượng dòng: {num_rows}, Số lượng thuộc tính: {num_columns}\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "pjA0y6BEV78k",
      "metadata": {
        "id": "pjA0y6BEV78k"
      },
      "outputs": [],
      "source": [
        "# 4. Trong các thuộc tính, thuộc tính nào là thuộc tính phân loại, thuộc tính nào là thuộc tính định lượng"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "vOgkzwHOWBZt",
      "metadata": {
        "id": "vOgkzwHOWBZt"
      },
      "source": [
        "Thuộc tính phân loại: sex, smoker, day, time\n",
        "\n",
        "Thuộc tính định lượng: total_bill, tip, size"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "VgjyB-wUWIKM",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VgjyB-wUWIKM",
        "outputId": "2fd7098c-cb69-431f-b188-2b99f3af8d38"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Số lượng nam: 157, Số lượng nữ: 87\n",
            "Tỷ lệ nam: 64.34%, Tỷ lệ nữ: 35.66%\n"
          ]
        }
      ],
      "source": [
        "# 5. Có bao nhiêu nam, bao nhiêu nữ. Tỷ lệ bao nhiêu?\n",
        "# Số lượng nam, nữ và tỷ lệ\n",
        "gender_counts = df['sex'].value_counts()\n",
        "num_males = gender_counts['Male']\n",
        "num_females = gender_counts['Female']\n",
        "male_ratio = num_males / num_rows * 100\n",
        "female_ratio = num_females / num_rows * 100\n",
        "\n",
        "print(f\"Số lượng nam: {num_males}, Số lượng nữ: {num_females}\")\n",
        "print(f\"Tỷ lệ nam: {male_ratio:.2f}%, Tỷ lệ nữ: {female_ratio:.2f}%\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "pAo-z2y1Wd7d",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pAo-z2y1Wd7d",
        "outputId": "92dc4ae5-a1ea-4e9d-d535-b30f0bf21da7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Số lượng người hút thuốc: 93\n",
            "Tỷ lệ người hút thuốc: 38.11%\n"
          ]
        }
      ],
      "source": [
        "# 6. Số lượng người hút thuốc và tỷ lệ\n",
        "smoker_count = df['smoker'].value_counts()['Yes']\n",
        "smoker_ratio = smoker_count / num_rows * 100\n",
        "\n",
        "print(f\"Số lượng người hút thuốc: {smoker_count}\")\n",
        "print(f\"Tỷ lệ người hút thuốc: {smoker_ratio:.2f}%\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "KF6ApWOPXSXP",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KF6ApWOPXSXP",
        "outputId": "e979ebd6-2fee-4c53-e7d6-60546da995e7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Ngày khách hàng đến dùng bữa nhiều nhất: Sat\n",
            "Tỷ lệ: 35.66%\n"
          ]
        }
      ],
      "source": [
        "# 7. Ngày nào trong tuần khách hàng hay đến dùng bữa nhất. Tỷ lệ bao nhiêu?\n",
        "day_counts = df['day'].value_counts()\n",
        "most_frequent_day = day_counts.idxmax()\n",
        "most_frequent_day_count = day_counts.max()\n",
        "most_frequent_day_ratio = most_frequent_day_count / num_rows * 100\n",
        "\n",
        "print(f\"Ngày khách hàng đến dùng bữa nhiều nhất: {most_frequent_day}\\nTỷ lệ: {most_frequent_day_ratio:.2f}%\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "ISz7YGlAXr7M",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ISz7YGlAXr7M",
        "outputId": "8def5d27-e18e-4ad0-b2e7-7363b6b7cb3c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Bữa ăn nào phục vụ nhiều nhất: Dinner\n"
          ]
        }
      ],
      "source": [
        "# 8. Nhà hàng phục vụ bữa ăn nào nhiều nhất (Breakfast, Lunch, Dinner)?\n",
        "# Nhà hàng phục vụ bữa ăn nào nhiều nhất\n",
        "meal_counts = df['time'].value_counts()\n",
        "most_frequent_meal = meal_counts.idxmax()\n",
        "\n",
        "print(f\"Bữa ăn nào phục vụ nhiều nhất: {most_frequent_meal}\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "outZEB31XyYP",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "outZEB31XyYP",
        "outputId": "11cd5b6f-c4b3-49b7-d300-35847ec6cbe8"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Nhóm khách hàng dùng bữa nhiều nhất là: 2 người\n"
          ]
        }
      ],
      "source": [
        "# 9. Nhóm khách hàng dùng bữa tại nhà hàng nhiều nhất là bao nhiêu người?\n",
        "# Nhóm khách hàng dùng bữa tại nhà hàng nhiều nhất\n",
        "group_size_counts = df['size'].value_counts()\n",
        "most_frequent_group_size = group_size_counts.idxmax()\n",
        "\n",
        "print(f\"Nhóm khách hàng dùng bữa nhiều nhất là: {most_frequent_group_size} người\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "kIC023tjX3hm",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kIC023tjX3hm",
        "outputId": "bbcf2c85-3502-4a26-8f2f-dedb015635fc"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Trung bình trong một bữa ăn nhà hàng phục vụ: 2.57 khách\n"
          ]
        }
      ],
      "source": [
        "# 10. Trung bình trong một bữa ăn nhà hàng phục vụ mấy khách?\n",
        "# Trung bình trong một bữa ăn nhà hàng phục vụ mấy khách\n",
        "average_size = df['size'].mean()\n",
        "\n",
        "print(f\"Trung bình trong một bữa ăn nhà hàng phục vụ: {average_size:.2f} khách\")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "f00a377c",
      "metadata": {
        "id": "f00a377c"
      },
      "source": [
        "## YẾU TỐ ẢNH HƯỞNG ĐẾN TIỀN TIP\n",
        "\n",
        "Trong phần này, chúng ta thử tìm hiểu về tiền tip tại nhà hàng và các yếu tố có thể ảnh hưởng đến nó"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "ba58ca8d",
      "metadata": {
        "id": "ba58ca8d"
      },
      "source": [
        "1. Tỷ lệ nhận được tiền tip của nhà hàng là bao nhiêu?\n",
        "2. Tỷ lệ tiền tip trên tổng hóa đơn là bao nhiêu?\n",
        "3. Giữa nam và nữ ai tip nhiều tiền hơn, ai tip thường xuyên hơn?\n",
        "4. Giữa người hút thuốc và người không hút thuốc ai tip nhiều tiền hơn, ai tip thường xuyên hơn?\n",
        "5. Thống kê tổng số tiền tip nhận được theo ngày."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "iGUBoKRXYTXQ",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iGUBoKRXYTXQ",
        "outputId": "58498d3d-cba8-456e-99cc-1cc07b0b818e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Tỷ lệ nhận được tiền tip: 100.00%\n"
          ]
        }
      ],
      "source": [
        "# 1. Tỷ lệ nhận được tiền tip của nhà hàng là bao nhiêu?\n",
        "# Tính tỷ lệ nhận được tiền tip\n",
        "tip_received_ratio = (df['tip'].count() / num_rows) * 100\n",
        "print(f\"Tỷ lệ nhận được tiền tip: {tip_received_ratio:.2f}%\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "lVmFVjdbYI3i",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lVmFVjdbYI3i",
        "outputId": "34bfa257-1f91-4307-ef31-35d6fcf4cf71"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Tỷ lệ tiền tip trung bình trên tổng hóa đơn: 16.08%\n"
          ]
        }
      ],
      "source": [
        "# 2. Tỷ lệ tiền tip trên tổng hóa đơn là bao nhiêu?\n",
        "# Tính tỷ lệ tiền tip trên tổng hóa đơn\n",
        "df['tip_ratio'] = (df['tip'] / df['total_bill']) * 100\n",
        "average_tip_ratio = df['tip_ratio'].mean()\n",
        "\n",
        "print(f\"Tỷ lệ tiền tip trung bình trên tổng hóa đơn: {average_tip_ratio:.2f}%\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "TcEflqb6YJEZ",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TcEflqb6YJEZ",
        "outputId": "76e3cb60-2480-4782-e9c4-e5f40c846632"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Tiền tip trung bình theo giới tính:\n",
            "sex\n",
            "Female    2.833448\n",
            "Male      3.089618\n",
            "Name: tip, dtype: float64\n",
            "Số lần tip theo giới tính:\n",
            "sex\n",
            "Male      157\n",
            "Female     87\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "# 3. Giữa nam và nữ ai tip nhiều tiền hơn, ai tip thường xuyên hơn?\n",
        "# Tính tiền tip trung bình theo giới tính\n",
        "average_tip_by_gender = df.groupby('sex')['tip'].mean()\n",
        "tip_frequency_by_gender = df['sex'].value_counts()\n",
        "\n",
        "print(\"Tiền tip trung bình theo giới tính:\")\n",
        "print(average_tip_by_gender)\n",
        "print(\"Số lần tip theo giới tính:\")\n",
        "print(tip_frequency_by_gender)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "sNe3MJGCYJTM",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sNe3MJGCYJTM",
        "outputId": "e5771e2a-fe13-4f10-9ad1-bf348da13f6e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Tiền tip trung bình theo tình trạng hút thuốc:\n",
            "smoker\n",
            "No     2.991854\n",
            "Yes    3.008710\n",
            "Name: tip, dtype: float64\n",
            "Số lần tip theo tình trạng hút thuốc:\n",
            "smoker\n",
            "No     151\n",
            "Yes     93\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "# 4. Giữa người hút thuốc và người không hút thuốc ai tip nhiều tiền hơn, ai tip thường xuyên hơn?\n",
        "# Tính tiền tip trung bình theo tình trạng hút thuốc\n",
        "average_tip_by_smoker = df.groupby('smoker')['tip'].mean()\n",
        "tip_frequency_by_smoker = df['smoker'].value_counts()\n",
        "\n",
        "print(\"Tiền tip trung bình theo tình trạng hút thuốc:\")\n",
        "print(average_tip_by_smoker)\n",
        "print(\"Số lần tip theo tình trạng hút thuốc:\")\n",
        "print(tip_frequency_by_smoker)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "NSRdZ2KAYJeC",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NSRdZ2KAYJeC",
        "outputId": "2de4b9d3-2635-48bc-c6a3-8ff27676006b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Tổng số tiền tip nhận được theo ngày:\n",
            "day\n",
            "Fri      51.96\n",
            "Sat     260.40\n",
            "Sun     247.39\n",
            "Thur    171.83\n",
            "Name: tip, dtype: float64\n"
          ]
        }
      ],
      "source": [
        "# 5. Thống kê tổng số tiền tip nhận được theo ngày.\n",
        "# Tính tổng tiền tip theo ngày\n",
        "total_tip_by_day = df.groupby('day')['tip'].sum()\n",
        "\n",
        "print(\"Tổng số tiền tip nhận được theo ngày:\")\n",
        "print(total_tip_by_day)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "de38a759",
      "metadata": {
        "id": "de38a759"
      },
      "source": [
        "# TRỰC QUAN DỮ LIỆU\n",
        "\n",
        "Để dễ hình dung, bạn hãy trực quan với một số câu hỏi sau đây:\n",
        "\n",
        "1. Vẽ đồ thị thể hiện tổng tiền tip theo ngày\n",
        "2. Vẽ đồ thị thể hiện tổng tiền tip theo bữa ăn (time)\n",
        "3. Vẽ đồ thị histogram của tổng hoá đơn\n",
        "4. Vẽ đồ thị boxplot của tổng hoá đơn\n",
        "5. Vẽ đồ thị để kiểm tra sự liên quan giữa tổng hoá đơn và tiền tip.\n",
        "6. So sánh số tiền mà khách hàng đã chi giữa các ngày trong tuần."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "d5c79bea",
      "metadata": {
        "id": "d5c79bea"
      },
      "source": [
        "## Với Matplotlib\n",
        "\n",
        "Bạn hãy trực quan với thư viện matplotlib"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "id": "OoD9WU9jHOeQ",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OoD9WU9jHOeQ",
        "outputId": "fb6c07d6-0625-40b6-c18c-df19b5cad263"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "     Unnamed: 0  total_bill   tip     sex smoker   day    time  size\n",
            "0             0       16.99  1.01  Female     No   Sun  Dinner     2\n",
            "1             1       10.34  1.66    Male     No   Sun  Dinner     3\n",
            "2             2       21.01  3.50    Male     No   Sun  Dinner     3\n",
            "3             3       23.68  3.31    Male     No   Sun  Dinner     2\n",
            "4             4       24.59  3.61  Female     No   Sun  Dinner     4\n",
            "..          ...         ...   ...     ...    ...   ...     ...   ...\n",
            "239         239       29.03  5.92    Male     No   Sat  Dinner     3\n",
            "240         240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
            "241         241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
            "242         242       17.82  1.75    Male     No   Sat  Dinner     2\n",
            "243         243       18.78  3.00  Female     No  Thur  Dinner     2\n",
            "\n",
            "[244 rows x 8 columns]\n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "# đọc dữ liệu\n",
        "tips = pd.read_csv('/content/tips.csv')\n",
        "print(tips)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "id": "UvdTgsYqIg7n",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 459
        },
        "id": "UvdTgsYqIg7n",
        "outputId": "cdc86594-9ce3-4238-8c85-b7cab0ced2fb"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# 1. Vẽ đồ thị thể hiện tổng tiền tip theo ngày\n",
        "total_tip_by_day = tips.groupby('day')['tip'].sum()\n",
        "\n",
        "plt.figure(figsize=(8, 5))\n",
        "total_tip_by_day.plot(kind='bar', color='skyblue')\n",
        "plt.title('Tổng tiền tip theo ngày')\n",
        "plt.xlabel('Ngày')\n",
        "plt.ylabel('Tổng tiền tip (USD)')\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "id": "IuwJNzxvIhJv",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "IuwJNzxvIhJv",
        "outputId": "84b0cf8f-bf21-49cd-df05-58c74ca0500e"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# 2. Vẽ đồ thị thể hiện tổng tiền tip theo bữa ăn (time)\n",
        "total_tip_by_time = tips.groupby('time')['tip'].sum()\n",
        "plt.figure(figsize=(8, 5))\n",
        "total_tip_by_time.plot(kind='bar', color='lightcoral')\n",
        "plt.title('Tổng tiền tip theo bữa ăn')\n",
        "plt.xlabel('Buổi ăn')\n",
        "plt.ylabel('Tổng tiền tip (USD)')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "id": "znJ4k3TKIhOy",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 481
        },
        "id": "znJ4k3TKIhOy",
        "outputId": "fb8524ee-f514-4a9d-e8e3-78d7ce4c4d33"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Tổng hoá đơn (USD)')"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# 3. Vẽ đồ thị histogram của tổng hoá đơn\n",
        "plt.figure(figsize=(8,5))\n",
        "plt.hist(tips['total_bill'], bins=20, color='skyblue', edgecolor='black')\n",
        "plt.title('Histogram của tổng hoá đơn')\n",
        "plt.xlabel('Tổng hoá đơn (USD)')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "id": "PgU_8CBJIhR-",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 469
        },
        "id": "PgU_8CBJIhR-",
        "outputId": "b0ed9684-e482-4226-fb1e-f192345f5b69"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# 4. Vẽ đồ thị boxplot của tổng hoá đơn\n",
        "plt.figure(figsize=(8,5))\n",
        "plt.boxplot(tips['total_bill'], vert=False, patch_artist=True)\n",
        "plt.title('Boxplot của tổng hóa đơn')\n",
        "plt.xlabel('Tổng hóa đơn (USD)')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "id": "oX0K_m0EIhVC",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "id": "oX0K_m0EIhVC",
        "outputId": "6b79775d-6425-475a-8212-f2e63a3f086b"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# 5. Vẽ đồ thị để kiểm tra sự liên quan giữa tổng hoá đơn và tiền tip.\n",
        "plt.figure(figsize=(8,5))\n",
        "plt.scatter(tips['total_bill'], tips['tip'], color='blue', alpha=0.5)\n",
        "plt.title('Sự liên quan giữa tổng hóa đơn và tiền tip')\n",
        "plt.xlabel('Tổng hóa đơn (USD)')\n",
        "plt.ylabel('Tiền tip (USD)')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "id": "jLYGDA_KIheO",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 453
        },
        "id": "jLYGDA_KIheO",
        "outputId": "4005a843-e6fc-4ab9-a50e-809da1bf3a64"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# 6. So sánh số tiền mà khách hàng đã chi giữa các ngày trong tuần.\n",
        "total_tip_by_day = tips.groupby('day')['total_bill'].sum()\n",
        "plt.figure(figsize=(8,5))\n",
        "total_tip_by_day.plot(kind='bar', color='skyblue')\n",
        "plt.title('So sánh số tiền mà khách hàng đã chi giữa các ngày trong tuần')\n",
        "plt.xlabel('Ngày')\n",
        "plt.ylabel('Tổng tiền tip (USD)')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "id": "RRRu0uDjNom3",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 454
        },
        "id": "RRRu0uDjNom3",
        "outputId": "2aacfedf-1d4b-49a0-89a1-fb5638825019"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Tính tổng hóa đơn theo từng ngày\n",
        "total_bill_by_day = tips.groupby('day')['total_bill'].sum()\n",
        "\n",
        "# Vẽ biểu đồ cột\n",
        "plt.figure(figsize=(8, 5))\n",
        "total_bill_by_day.plot(kind='bar', color='lightcoral')\n",
        "plt.title('Tổng chi tiêu theo ngày trong tuần')\n",
        "plt.xlabel('Ngày')\n",
        "plt.ylabel('Tổng hoá đơn (USD)')\n",
        "plt.xticks(rotation=45)\n",
        "plt.grid(axis='y')\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "816cf7bf",
      "metadata": {
        "id": "816cf7bf"
      },
      "source": [
        "## Với Seaborn\n",
        "\n",
        "Bạn hãy tìm hiểu và trực quan với thư viện seaborn"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "id": "kVm6fXyJOGK0",
      "metadata": {
        "id": "kVm6fXyJOGK0"
      },
      "outputs": [],
      "source": [
        "import seaborn as sns\n",
        "tips = pd.read_csv('tips.csv')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "id": "o8Ggl6wiI9ki",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 443
        },
        "id": "o8Ggl6wiI9ki",
        "outputId": "3f88b710-eb84-4f74-ebe6-e71896e505ba"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# 1. Vẽ đồ thị thể hiện tổng tiền tip theo ngày\n",
        "plt.figure(figsize=(8, 5))\n",
        "sns.barplot(x='day', y='tip', data=tips, estimator=sum)\n",
        "plt.title('Tổng tiền tip theo ngày')\n",
        "plt.xlabel('Ngày')\n",
        "plt.ylabel('Tổng tiền tip (USD)')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "id": "XpqGH-pcI9kj",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 526
        },
        "id": "XpqGH-pcI9kj",
        "outputId": "1005efab-a8bb-4c75-b22b-8372aae3a9e0"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Buổi ăn')"
            ]
          },
          "execution_count": 40,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# 2. Vẽ đồ thị thể hiện tổng tiền tip theo bữa ăn (time)\n",
        "plt.figure(figsize=(8, 5))\n",
        "sns.barplot(x='time', y='tip', data=tips, estimator=sum)\n",
        "plt.title('Tổng tiền tip theo bữa ăn')\n",
        "plt.xlabel('Buổi ăn')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "id": "OaCwXYs4I9kk",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        },
        "id": "OaCwXYs4I9kk",
        "outputId": "10a935e4-8262-4b4f-97b2-67db06778d60"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Tổng hoá đơn (USD)')"
            ]
          },
          "execution_count": 42,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# 3. Vẽ đồ thị histogram của tổng hoá đơn\n",
        "plt.figure(figsize=(8,5))\n",
        "sns.histplot(tips['total_bill'], bins=20, kde=True, color='skyblue')\n",
        "plt.title('Histogram của tổng hoá đơn')\n",
        "plt.xlabel('Tổng hoá đơn (USD)')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "id": "brrlyNbVI9kl",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 497
        },
        "id": "brrlyNbVI9kl",
        "outputId": "a53ccc3c-5c90-4902-c551-bacc147ffb95"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Tổng hóa đơn (USD)')"
            ]
          },
          "execution_count": 43,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# 4. Vẽ đồ thị boxplot của tổng hoá đơn\n",
        "plt.figure(figsize=(8,5))\n",
        "sns.boxplot(x='total_bill', data=tips, color='skyblue')\n",
        "plt.title('Boxplot của tổng hóa đơn')\n",
        "plt.xlabel('Tổng hóa đơn (USD)')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "id": "J7rG2JV4I9ko",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "J7rG2JV4I9ko",
        "outputId": "74c86960-7007-41c8-fc4f-e25e8ccfb521"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Sự liên quan giữa tổng hóa đơn và tiền tip')"
            ]
          },
          "execution_count": 44,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# 5. Vẽ đồ thị để kiểm tra sự liên quan giữa tổng hoá đơn và tiền tip.\n",
        "plt.figure(figsize=(8,5))\n",
        "sns.scatterplot(x='total_bill', y='tip', data=tips, color='blue', alpha=0.5)\n",
        "plt.title('Sự liên quan giữa tổng hóa đơn và tiền tip')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "id": "8w-4cG2iI9ko",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "8w-4cG2iI9ko",
        "outputId": "2f4dab0c-893a-4392-ade6-a4eb9d66bfbb"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'So sánh số tiền mà khách hàng đã chi giữa các ngày trong tuần')"
            ]
          },
          "execution_count": 45,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# 6. So sánh số tiền mà khách hàng đã chi giữa các ngày trong tuần.\n",
        "plt.figure(figsize=(8,5))\n",
        "sns.barplot(x='day', y='total_bill', data=tips, estimator=sum)\n",
        "plt.title('So sánh số tiền mà khách hàng đã chi giữa các ngày trong tuần')"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.9.7"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}