{
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    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "## Library"
      ],
      "metadata": {
        "id": "SMYQfZ-uCVio"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "kKgu5dUgAbQG"
      },
      "outputs": [],
      "source": [
        "import numpy as np #library untuk matematika\n",
        "import pandas as pd #library untuk dataframe\n",
        "import seaborn as sns #library untuk visualisasi\n",
        "import matplotlib.pyplot as plt #library untuk visualisasi"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "QSU4b0oC9eEB"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Load data"
      ],
      "metadata": {
        "id": "JXF-QWnWCeh5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "dataset = sns.load_dataset(\"mpg\") #  Memuat dataset mpg dari seaborn\n"
      ],
      "metadata": {
        "id": "iht2Z5Ix8HdC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dataset.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "nBsM4lHR8JE0",
        "outputId": "0acfc519-24f4-4305-afe3-3117ced86f16"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    mpg  cylinders  displacement  horsepower  weight  acceleration  \\\n",
              "0  18.0          8         307.0       130.0    3504          12.0   \n",
              "1  15.0          8         350.0       165.0    3693          11.5   \n",
              "2  18.0          8         318.0       150.0    3436          11.0   \n",
              "3  16.0          8         304.0       150.0    3433          12.0   \n",
              "4  17.0          8         302.0       140.0    3449          10.5   \n",
              "\n",
              "   model_year origin                       name  \n",
              "0          70    usa  chevrolet chevelle malibu  \n",
              "1          70    usa          buick skylark 320  \n",
              "2          70    usa         plymouth satellite  \n",
              "3          70    usa              amc rebel sst  \n",
              "4          70    usa                ford torino  "
            ],
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              "      <th>mpg</th>\n",
              "      <th>cylinders</th>\n",
              "      <th>displacement</th>\n",
              "      <th>horsepower</th>\n",
              "      <th>weight</th>\n",
              "      <th>acceleration</th>\n",
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              "      <th>0</th>\n",
              "      <td>18.0</td>\n",
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              "      <td>130.0</td>\n",
              "      <td>3504</td>\n",
              "      <td>12.0</td>\n",
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              "      <td>usa</td>\n",
              "      <td>chevrolet chevelle malibu</td>\n",
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              "      <th>2</th>\n",
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              "      <td>plymouth satellite</td>\n",
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              "      <td>amc rebel sst</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>17.0</td>\n",
              "      <td>8</td>\n",
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              "      spin 1s steps(1) infinite;\n",
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              "  @keyframes spin {\n",
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              "            'suggestCharts', [key], {});\n",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "dataset",
              "summary": "{\n  \"name\": \"dataset\",\n  \"rows\": 398,\n  \"fields\": [\n    {\n      \"column\": \"mpg\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.815984312565782,\n        \"min\": 9.0,\n        \"max\": 46.6,\n        \"num_unique_values\": 129,\n        \"samples\": [\n          17.7,\n          30.5,\n          30.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cylinders\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 3,\n        \"max\": 8,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          4,\n          5,\n          6\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"displacement\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 104.26983817119581,\n        \"min\": 68.0,\n        \"max\": 455.0,\n        \"num_unique_values\": 82,\n        \"samples\": [\n          122.0,\n          307.0,\n          360.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"horsepower\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 38.49115993282855,\n        \"min\": 46.0,\n        \"max\": 230.0,\n        \"num_unique_values\": 93,\n        \"samples\": [\n          92.0,\n          100.0,\n          52.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"weight\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 846,\n        \"min\": 1613,\n        \"max\": 5140,\n        \"num_unique_values\": 351,\n        \"samples\": [\n          3730,\n          1995,\n          2215\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"acceleration\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.7576889298126757,\n        \"min\": 8.0,\n        \"max\": 24.8,\n        \"num_unique_values\": 95,\n        \"samples\": [\n          14.7,\n          18.0,\n          14.3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"model_year\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3,\n        \"min\": 70,\n        \"max\": 82,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          81,\n          79,\n          70\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"origin\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"usa\",\n          \"japan\",\n          \"europe\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 305,\n        \"samples\": [\n          \"mazda rx-4\",\n          \"ford f108\",\n          \"buick century luxus (sw)\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Membuat pie chart"
      ],
      "metadata": {
        "id": "ULvekmUNCh-z"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Mempersiapkan data untuk plot"
      ],
      "metadata": {
        "id": "38JOrqAPCl0i"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data_origin = dataset[\"origin\"].value_counts().to_dict() # Menghitung jumlah kemunculan setiap kategori pada kolom 'origin' dan mengubahnya menjadi dictionary\n",
        "\n",
        "# Mengambil nilai untuk diagram pie\n",
        "data_pie = data_origin.values()\n",
        "# Mengambil label kategori untuk diagram pie\n",
        "label_pie = data_origin.keys()\n",
        "# Mengatur palet warna pastel untuk diagram pie\n",
        "colors = sns.color_palette('pastel')[0:5]"
      ],
      "metadata": {
        "id": "OnO-Jqkg-Wb-"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Pie chart"
      ],
      "metadata": {
        "id": "Ij-XyP2PCpep"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Membuat diagram pie dengan nilai, label, dan warna yang telah ditentukan\n",
        "plt.pie(x = data_pie,\n",
        "        labels = label_pie,\n",
        "        colors = colors,\n",
        "        autopct='%.0f%%'  # Menampilkan persentase dalam pie chart\n",
        ")\n",
        "# Menambahkan judul pada diagram\n",
        "plt.title(\"Origin\")\n",
        "# Menampilkan diagram\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 428
        },
        "id": "Mad8Ibxu-j-q",
        "outputId": "3d3937b4-e230-46b1-c2fd-534674a5cd2c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "ZodoKUkZGq6I"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Membaut histogram"
      ],
      "metadata": {
        "id": "GsOZvrHnCthD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Membuat histogram untuk kolom 'mpg' dalam dataset\n",
        "sns.histplot(data = dataset,\n",
        "            x = \"mpg\",  # Data yang akan diplot pada sumbu x\n",
        "             bins = 30)  # Menentukan jumlah bin dalam histogram\n",
        "\n",
        "# Menampilkan plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "_vwaDJYvBIst",
        "outputId": "aef020de-076e-41ee-cf58-5bd85d00089a",
        "collapsed": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Penjelasan Detail:\n",
        "sns.histplot() digunakan untuk membuat histogram, yang menunjukkan distribusi data.\n",
        "data = dataset menentukan dataset yang digunakan (dalam hal ini, dataset \"mpg\").\n",
        "x = \"mpg\" berarti histogram dibuat berdasarkan distribusi nilai miles per gallon (mpg).\n",
        "bins = 30 menentukan jumlah kelompok (bin) dalam histogram. Semakin besar jumlah bin, semakin detail histogramnya.\n",
        "Cara Membaca Histogram:\n",
        "Sumbu X: Menampilkan nilai mpg (efisiensi bahan bakar kendaraan).\n",
        "Sumbu Y: Menunjukkan jumlah kendaraan dalam setiap rentang nilai mpg.\n",
        "Bentuk distribusi:\n",
        "Jika simetris, berarti data memiliki distribusi normal.\n",
        "Jika miring ke kanan (positif skewed), berarti lebih banyak kendaraan dengan mpg rendah.\n",
        "Jika miring ke kiri (negatif skewed), berarti lebih banyak kendaraan dengan mpg tinggi."
      ],
      "metadata": {
        "id": "t3hA32GFk2gU"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Membuat boxplot"
      ],
      "metadata": {
        "id": "_a3u9M2ZDLsY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Membuat boxplot untuk kolom 'mpg' dalam dataset\n",
        "sns.boxplot(data = dataset,\n",
        "            x = \"mpg\") # Data yang akan diplot pada sumbu x\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "OvFGjD7wBibp",
        "outputId": "a53e4022-0c44-45bc-fcf5-30a351418a7d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Membuat bar chart"
      ],
      "metadata": {
        "id": "Lcq_jBS1JhOX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.barplot(data = dataset,\n",
        "              x = \"model_year\", # Kategori yang digunakan sebagai sumbu x (asal kendaraan)\n",
        "              y = \"mpg\", # Nilai rata-rata miles per gallon (mpg) yang diplot pada sumbu y\n",
        "             )\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "id": "m0nVxcUHGrnC",
        "outputId": "ec446977-5933-431d-82d6-0360aa78453c",
        "collapsed": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Penjelasan:\n",
        "sns.barplot() digunakan untuk membuat bar chart (diagram batang).\n",
        "data = dataset menentukan dataset yang digunakan (dalam hal ini, dataset \"mpg\").\n",
        "x = \"origin\" menentukan bahwa kategori pada sumbu x adalah origin (asal kendaraan, misalnya USA, Europe, atau Japan).\n",
        "y = \"mpg\" menunjukkan bahwa sumbu y menampilkan rata-rata miles per gallon (mpg) untuk setiap kategori pada sumbu x.\n",
        "Secara default, sns.barplot() menghitung rata-rata nilai y untuk setiap kategori x, jadi setiap batang menunjukkan rata-rata mpg berdasarkan asal kendaraan.\n",
        "📊 Hasil visualisasi ini membantu dalam memahami perbedaan efisiensi bahan bakar kendaraan berdasarkan asalnya. 🚗💨"
      ],
      "metadata": {
        "id": "vxHWKa-qkbZF"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Membuat lineplot"
      ],
      "metadata": {
        "id": "3Hzrqd8jUIs8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Membuat line plot untuk melihat tren perubahan MPG berdasarkan tahun model\n",
        "sns.lineplot(data = dataset,\n",
        "             x = \"origin\", # Sumbu x menunjukkan tahun model kendaraan\n",
        "             y = \"mpg\",  # Sumbu y menunjukkan miles per gallon (MPG)\n",
        "             hue = \"model_year\")  # Warna garis berdasarkan asal kendaraan (USA, Europe, Japan)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "9PspXoGIGzt9",
        "outputId": "be6896c6-062e-4e87-92b7-a14e1c5af9a6",
        "collapsed": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='origin', ylabel='mpg'>"
            ]
          },
          "metadata": {},
          "execution_count": 33
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Penjelasan:\n",
        "sns.lineplot() digunakan untuk membuat grafik garis.\n",
        "data = dataset menentukan dataset yang digunakan (dataset \"mpg\").\n",
        "x = \"model_year\" artinya sumbu x menunjukkan tahun model kendaraan.\n",
        "y = \"mpg\" artinya sumbu y menunjukkan efisiensi bahan bakar dalam miles per gallon (MPG).\n",
        "hue = \"origin\" memisahkan garis berdasarkan asal kendaraan (USA, Europe, atau Japan), sehingga kita bisa melihat bagaimana tren perubahan efisiensi bahan bakar dari masing-masing wilayah.\n",
        "📈 Hasil visualisasi ini berguna untuk menganalisis bagaimana efisiensi bahan bakar berkembang seiring waktu berdasarkan asal kendaraan!"
      ],
      "metadata": {
        "id": "S1N5dXrZkKt9"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Membuat scatterplot"
      ],
      "metadata": {
        "id": "POBBozQVUL3Z"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.scatterplot(data = dataset,  # Sumbu x: kapasitas mesin (displacement)\n",
        "                x = \"cylinders\",\n",
        "                y = \"mpg\") # Sumbu y: efisiensi bahan bakar (miles per gallon)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "49AT55i8Ju8X",
        "outputId": "f5e11322-8efc-4169-a10f-b9980f5f1af4",
        "collapsed": true
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='cylinders', ylabel='mpg'>"
            ]
          },
          "metadata": {},
          "execution_count": 43
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Penjelasan Detail:\n",
        "sns.scatterplot() digunakan untuk membuat scatter plot (diagram sebar).\n",
        "data = dataset menentukan dataset yang digunakan (dalam hal ini, dataset \"mpg\").\n",
        "x = \"displacement\" mengatur sumbu x sebagai displacement (kapasitas mesin kendaraan dalam cubic inches).\n",
        "y = \"mpg\" mengatur sumbu y sebagai mpg (miles per gallon, yang menunjukkan efisiensi bahan bakar).\n",
        "Scatter plot ini membantu dalam melihat hubungan antara kapasitas mesin dengan efisiensi bahan bakar.\n",
        "📊 Interpretasi:\n",
        "Biasanya, semakin besar displacement, semakin kecil mpg, karena kendaraan dengan mesin lebih besar cenderung lebih boros bahan bakar. Scatter plot ini bisa menunjukkan pola tersebut dengan distribusi titik-titik data. 🚗💨"
      ],
      "metadata": {
        "id": "kEfQo63Fju0l"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "vesBbly1KRme"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}