KOMPUTASI BIG DATA_ACT_PERT_6.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "#KUMAL_KBD_ACT_PERT 6\n"
      ],
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        "id": "YUvqosG_FB4I"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#====================================================================\n",
        "# INPUT DATA \n",
        "#===================================================================="
      ],
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        "id": "5uyySOtAFUWz"
      }
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      "source": [
        "import numpy as np \n",
        "import pandas as pd \n",
        "import sklearn\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt"
      ]
    },
    {
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      "source": [
        "# Load data train dan test ke dalam pandas dataframe\n",
        "# dataset : https://gitlab.com/andreass.bayu/file-directory/-/raw/main/new_concreate.csv\n",
        "concrete = pd.read_csv(\"https://gitlab.com/andreass.bayu/file-directory/-/raw/main/new_concreate.csv\")"
      ]
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          "data": {
            "text/plain": [
              "(1030, 9)"
            ]
          },
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          "execution_count": 3
        }
      ],
      "source": [
        "# menghasilkan jumlah baris dan jumlah kolom (bentuk data) pada data train dengan fungsi .shape\n",
        "concrete.shape"
      ]
    },
    {
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              "   cement   slag    ash  water  superplastic  coarseagg  fineagg  age  \\\n",
              "0   141.3  212.0    NaN  203.5           NaN      971.8    748.5   28   \n",
              "1   168.9   42.2  124.3  158.3          10.8     1080.8    796.2   14   \n",
              "2   250.0    NaN   95.7  187.4           5.5      956.9    861.2   28   \n",
              "3   266.0  114.0    NaN  228.0           NaN      932.0    670.0   28   \n",
              "4   154.8  183.4    NaN  193.3           9.1     1047.4    696.7   28   \n",
              "5   255.0    NaN    NaN  192.0           NaN      889.8    945.0   90   \n",
              "6   166.8  250.2    NaN  203.5           NaN      975.6    692.6    7   \n",
              "7   251.4    NaN  118.3  188.5           6.4     1028.4    757.7   56   \n",
              "8   296.0    NaN    NaN  192.0           NaN     1085.0    765.0   28   \n",
              "9   155.0  184.0  143.0  194.0           9.0      880.0    699.0   28   \n",
              "\n",
              "   strength  \n",
              "0     29.89  \n",
              "1     23.51  \n",
              "2     29.22  \n",
              "3     45.85  \n",
              "4     18.29  \n",
              "5     21.86  \n",
              "6     15.75  \n",
              "7     36.64  \n",
              "8     21.65  \n",
              "9     28.99  "
            ],
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              "      <th>cement</th>\n",
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              "      <th>3</th>\n",
              "      <td>266.0</td>\n",
              "      <td>114.0</td>\n",
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              "      <td>228.0</td>\n",
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              "      <td>932.0</td>\n",
              "      <td>670.0</td>\n",
              "      <td>28</td>\n",
              "      <td>45.85</td>\n",
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              "      <th>4</th>\n",
              "      <td>154.8</td>\n",
              "      <td>183.4</td>\n",
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              "      <td>193.3</td>\n",
              "      <td>9.1</td>\n",
              "      <td>1047.4</td>\n",
              "      <td>696.7</td>\n",
              "      <td>28</td>\n",
              "      <td>18.29</td>\n",
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              "      <th>5</th>\n",
              "      <td>255.0</td>\n",
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              "      <td>192.0</td>\n",
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              "      <td>889.8</td>\n",
              "      <td>945.0</td>\n",
              "      <td>90</td>\n",
              "      <td>21.86</td>\n",
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              "      <th>6</th>\n",
              "      <td>166.8</td>\n",
              "      <td>250.2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>203.5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>975.6</td>\n",
              "      <td>692.6</td>\n",
              "      <td>7</td>\n",
              "      <td>15.75</td>\n",
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              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>251.4</td>\n",
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              "      <td>118.3</td>\n",
              "      <td>188.5</td>\n",
              "      <td>6.4</td>\n",
              "      <td>1028.4</td>\n",
              "      <td>757.7</td>\n",
              "      <td>56</td>\n",
              "      <td>36.64</td>\n",
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              "      <th>8</th>\n",
              "      <td>296.0</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>192.0</td>\n",
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              "      <th>9</th>\n",
              "      <td>155.0</td>\n",
              "      <td>184.0</td>\n",
              "      <td>143.0</td>\n",
              "      <td>194.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>880.0</td>\n",
              "      <td>699.0</td>\n",
              "      <td>28</td>\n",
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          },
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      ],
      "source": [
        "# menampilkan 10 data teratas\n",
        "concrete.head(10)"
      ]
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            "text/plain": [
              "            cement        slag         ash        water  superplastic  \\\n",
              "count  1030.000000  559.000000  464.000000  1030.000000    651.000000   \n",
              "mean    281.167864  136.158676  120.288793   181.567282      9.816897   \n",
              "std     104.506364   72.351823   33.675470    21.354219      4.580328   \n",
              "min     102.000000   11.000000   24.500000   121.800000      1.700000   \n",
              "25%     192.375000   95.000000   97.850000   164.900000      6.950000   \n",
              "50%     272.900000  135.700000  121.400000   185.000000      9.400000   \n",
              "75%     350.000000  189.000000  141.000000   192.000000     11.600000   \n",
              "max     540.000000  359.400000  200.100000   247.000000     32.200000   \n",
              "\n",
              "         coarseagg      fineagg          age     strength  \n",
              "count  1030.000000  1030.000000  1030.000000  1030.000000  \n",
              "mean    972.918932   773.580485    45.662136    35.817961  \n",
              "std      77.753954    80.175980    63.169912    16.705742  \n",
              "min     801.000000   594.000000     1.000000     2.330000  \n",
              "25%     932.000000   730.950000     7.000000    23.710000  \n",
              "50%     968.000000   779.500000    28.000000    34.445000  \n",
              "75%    1029.400000   824.000000    56.000000    46.135000  \n",
              "max    1145.000000   992.600000   365.000000    82.600000  "
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              "      <th></th>\n",
              "      <th>cement</th>\n",
              "      <th>slag</th>\n",
              "      <th>ash</th>\n",
              "      <th>water</th>\n",
              "      <th>superplastic</th>\n",
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              "      <th>strength</th>\n",
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              "      <th>count</th>\n",
              "      <td>1030.000000</td>\n",
              "      <td>559.000000</td>\n",
              "      <td>464.000000</td>\n",
              "      <td>1030.000000</td>\n",
              "      <td>651.000000</td>\n",
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              "      <td>1030.000000</td>\n",
              "      <td>1030.000000</td>\n",
              "      <td>1030.000000</td>\n",
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              "      <th>mean</th>\n",
              "      <td>281.167864</td>\n",
              "      <td>136.158676</td>\n",
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              "      <td>181.567282</td>\n",
              "      <td>9.816897</td>\n",
              "      <td>972.918932</td>\n",
              "      <td>773.580485</td>\n",
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              "      <td>35.817961</td>\n",
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              "      <th>std</th>\n",
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              "      <td>80.175980</td>\n",
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              "      <td>16.705742</td>\n",
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              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>102.000000</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>24.500000</td>\n",
              "      <td>121.800000</td>\n",
              "      <td>1.700000</td>\n",
              "      <td>801.000000</td>\n",
              "      <td>594.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.330000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>192.375000</td>\n",
              "      <td>95.000000</td>\n",
              "      <td>97.850000</td>\n",
              "      <td>164.900000</td>\n",
              "      <td>6.950000</td>\n",
              "      <td>932.000000</td>\n",
              "      <td>730.950000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>23.710000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>272.900000</td>\n",
              "      <td>135.700000</td>\n",
              "      <td>121.400000</td>\n",
              "      <td>185.000000</td>\n",
              "      <td>9.400000</td>\n",
              "      <td>968.000000</td>\n",
              "      <td>779.500000</td>\n",
              "      <td>28.000000</td>\n",
              "      <td>34.445000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>350.000000</td>\n",
              "      <td>189.000000</td>\n",
              "      <td>141.000000</td>\n",
              "      <td>192.000000</td>\n",
              "      <td>11.600000</td>\n",
              "      <td>1029.400000</td>\n",
              "      <td>824.000000</td>\n",
              "      <td>56.000000</td>\n",
              "      <td>46.135000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>540.000000</td>\n",
              "      <td>359.400000</td>\n",
              "      <td>200.100000</td>\n",
              "      <td>247.000000</td>\n",
              "      <td>32.200000</td>\n",
              "      <td>1145.000000</td>\n",
              "      <td>992.600000</td>\n",
              "      <td>365.000000</td>\n",
              "      <td>82.600000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2c735903-28c1-4049-978f-d8f58b3ece86')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-2c735903-28c1-4049-978f-d8f58b3ece86');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "# fungsi describe() untuk mengetahui statistika data untuk data numeric seperti count, mean, standard deviation, maximum, mininum, dan quartile.\n",
        "concrete.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "_kg_hide-output": true,
        "_uuid": "0b18baf8d30016a2d3012c33a7b28068b045ad08",
        "execution": {
          "iopub.execute_input": "2021-10-20T09:15:09.618918Z",
          "iopub.status.busy": "2021-10-20T09:15:09.618451Z",
          "iopub.status.idle": "2021-10-20T09:15:09.962835Z",
          "shell.execute_reply": "2021-10-20T09:15:09.962032Z",
          "shell.execute_reply.started": "2021-10-20T09:15:09.618686Z"
        },
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jQAe6eoM-VYc",
        "outputId": "ff5bfefe-dd39-4ba0-e49f-a6bdfd82e767"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ash             566\n",
              "slag            471\n",
              "superplastic    379\n",
              "cement            0\n",
              "water             0\n",
              "coarseagg         0\n",
              "fineagg           0\n",
              "age               0\n",
              "strength          0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "#cek nilai yang hilang / missing values di dalam data train\n",
        "concrete.isnull().sum().sort_values(ascending=False)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#====================================================================\n",
        "# TUGAS SOAL\n",
        "#===================================================================="
      ],
      "metadata": {
        "id": "WtYspFTX-mPg"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7VgqB8Kr-VYd"
      },
      "source": [
        "### Instruksi Praktikum untuk mahasiswa FIKTI dan FTI (kecuali Teknik Industri, Teknik Mesin dan Agroteknologi)\n",
        "\n",
        "* Lakukan teknik data cleaning untuk data yang bernilai NaN pada Dataset concrete.  (Ubah data bernilai NaN menjadi 0)\n",
        "* Transformasikan data pada kolom strength menjadi kolom baru bernama 'Category', dengan ketentuan :\n",
        "   1. jika nilai >= 65 = 'Hard'\n",
        "   2. jika nilai >= 40 = 'Medium'\n",
        "   3. Jika nilai < 40 = 'Light'\n",
        "* Lakukan analisis histogram untuk pengaruh kolom age terhadap kolom strength, apakah yang dapat Anda simpulkan ?\n",
        "* Cari tahu komposisi concrete yang memiliki kekuatan tertinggi dan terendah\n",
        "* Berikan kesimpulan akhir anda terhadap pengaruh komposisi concrete berdasarkan dataset yang digunakan"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "I5ySzp7P-VYd"
      },
      "source": [
        "#====================================================================\n",
        "# JAWABAN\n",
        "#===================================================================="
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 1) Lakukan teknik data cleaning untuk data yang bernilai NaN pada Dataset concrete.  (Ubah data bernilai NaN menjadi 0)"
      ],
      "metadata": {
        "id": "66vouIDz-wKA"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 391
        },
        "id": "V3d-EnGy-VYd",
        "outputId": "80d64264-7b86-4e01-8ca1-7b531ab96a4a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "cement          0\n",
            "slag            0\n",
            "ash             0\n",
            "water           0\n",
            "superplastic    0\n",
            "coarseagg       0\n",
            "fineagg         0\n",
            "age             0\n",
            "strength        0\n",
            "dtype: int64\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   cement   slag    ash  water  superplastic  coarseagg  fineagg  age  \\\n",
              "0   141.3  212.0    0.0  203.5           0.0      971.8    748.5   28   \n",
              "1   168.9   42.2  124.3  158.3          10.8     1080.8    796.2   14   \n",
              "2   250.0    0.0   95.7  187.4           5.5      956.9    861.2   28   \n",
              "3   266.0  114.0    0.0  228.0           0.0      932.0    670.0   28   \n",
              "4   154.8  183.4    0.0  193.3           9.1     1047.4    696.7   28   \n",
              "\n",
              "   strength  \n",
              "0     29.89  \n",
              "1     23.51  \n",
              "2     29.22  \n",
              "3     45.85  \n",
              "4     18.29  "
            ],
            "text/html": [
              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>cement</th>\n",
              "      <th>slag</th>\n",
              "      <th>ash</th>\n",
              "      <th>water</th>\n",
              "      <th>superplastic</th>\n",
              "      <th>coarseagg</th>\n",
              "      <th>fineagg</th>\n",
              "      <th>age</th>\n",
              "      <th>strength</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>141.3</td>\n",
              "      <td>212.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>203.5</td>\n",
              "      <td>0.0</td>\n",
              "      <td>971.8</td>\n",
              "      <td>748.5</td>\n",
              "      <td>28</td>\n",
              "      <td>29.89</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>168.9</td>\n",
              "      <td>42.2</td>\n",
              "      <td>124.3</td>\n",
              "      <td>158.3</td>\n",
              "      <td>10.8</td>\n",
              "      <td>1080.8</td>\n",
              "      <td>796.2</td>\n",
              "      <td>14</td>\n",
              "      <td>23.51</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>250.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>95.7</td>\n",
              "      <td>187.4</td>\n",
              "      <td>5.5</td>\n",
              "      <td>956.9</td>\n",
              "      <td>861.2</td>\n",
              "      <td>28</td>\n",
              "      <td>29.22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>266.0</td>\n",
              "      <td>114.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>228.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>932.0</td>\n",
              "      <td>670.0</td>\n",
              "      <td>28</td>\n",
              "      <td>45.85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>154.8</td>\n",
              "      <td>183.4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>193.3</td>\n",
              "      <td>9.1</td>\n",
              "      <td>1047.4</td>\n",
              "      <td>696.7</td>\n",
              "      <td>28</td>\n",
              "      <td>18.29</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b38c642d-4f84-45c9-aa76-2569ba52b17a')\"\n",
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              "              style=\"display:none;\">\n",
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              "  </svg>\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      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-b38c642d-4f84-45c9-aa76-2569ba52b17a 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-b38c642d-4f84-45c9-aa76-2569ba52b17a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ],
      "source": [
        "concrete = concrete.fillna(0)\n",
        "print(concrete.isna().sum())\n",
        "concrete.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 2) Transformasikan data pada kolom strength menjadi kolom baru bernama 'Category', dengan ketentuan :\n",
        "   1. jika nilai >= 65 = 'Hard'\n",
        "   2. jika nilai >= 40 = 'Medium'\n",
        "   3. Jika nilai < 40 = 'Light'"
      ],
      "metadata": {
        "id": "ZXsf7NVG_MYi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def get_category(x):\n",
        "  if x >= 65:\n",
        "    return 'Hard'\n",
        "  elif x >= 40:\n",
        "    return 'Medium'\n",
        "  return 'Light'"
      ],
      "metadata": {
        "id": "FRw0VGh8_PUZ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "concrete['category'] = concrete['strength'].apply(get_category)\n",
        "concrete.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "qfoRx5w7_fjG",
        "outputId": "ed7491a5-3aa2-4a36-ebb7-3359f6ec93d9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   cement   slag    ash  water  superplastic  coarseagg  fineagg  age  \\\n",
              "0   141.3  212.0    0.0  203.5           0.0      971.8    748.5   28   \n",
              "1   168.9   42.2  124.3  158.3          10.8     1080.8    796.2   14   \n",
              "2   250.0    0.0   95.7  187.4           5.5      956.9    861.2   28   \n",
              "3   266.0  114.0    0.0  228.0           0.0      932.0    670.0   28   \n",
              "4   154.8  183.4    0.0  193.3           9.1     1047.4    696.7   28   \n",
              "\n",
              "   strength category  \n",
              "0     29.89    Light  \n",
              "1     23.51    Light  \n",
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            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 3) Lakukan analisis histogram untuk pengaruh kolom age terhadap kolom strength, apakah yang dapat Anda simpulkan ?"
      ],
      "metadata": {
        "id": "EyYOU-xHAV5L"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig, axes = plt.subplots(1, 2, figsize=(12, 6))\n",
        "\n",
        "sns.histplot(concrete['age'], ax=axes[0]).set_title('histogram age')\n",
        "sns.histplot(concrete['strength'], ax=axes[1]).set_title('histogram strength')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 422
        },
        "id": "e0rpFwXAAT39",
        "outputId": "9e4a963b-7127-4a73-8df5-5cee11f92a93"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'histogram strength')"
            ]
          },
          "metadata": {},
          "execution_count": 31
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x432 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.scatter(concrete['age'], concrete['strength'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "kKOEBzwCBT4Z",
        "outputId": "b2bb0a0f-a057-43ba-e01d-4696b2ca7d3d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.PathCollection at 0x7f121f0b4810>"
            ]
          },
          "metadata": {},
          "execution_count": 15
        },
        {
          "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": [
        "## 4) Cari tahu komposisi concrete yang memiliki kekuatan tertinggi dan terendah"
      ],
      "metadata": {
        "id": "nvGNsgYuBpSY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print('komposisi terkuat')\n",
        "concrete[concrete['strength']==concrete['strength'].max()]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 98
        },
        "id": "mVFDxN5QBsSc",
        "outputId": "ea0b595e-8b8c-4b96-990c-9b90b5dde637"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "komposisi terkuat\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     cement   slag  ash  water  superplastic  coarseagg  fineagg  age  \\\n",
              "950   389.9  189.0  0.0  145.9          22.0      944.7    755.8   91   \n",
              "\n",
              "     strength  \n",
              "950      82.6  "
            ],
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              "      <td>389.9</td>\n",
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              "      <td>145.9</td>\n",
              "      <td>22.0</td>\n",
              "      <td>944.7</td>\n",
              "      <td>755.8</td>\n",
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              "          const element = document.querySelector('#df-1e0988a6-8908-49d6-adce-5e34f4f08ccf');\n",
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              "                                                     [key], {});\n",
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              "\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",
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            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print('komposisi terlemah')\n",
        "concrete[concrete['strength']==concrete['strength'].min()]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 98
        },
        "id": "A-YABrYKCDcf",
        "outputId": "1cdbe9dc-c2a7-48f2-893a-b52a1b031fdd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "komposisi terlemah\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     cement   slag  ash  water  superplastic  coarseagg  fineagg  age  \\\n",
              "230   108.3  162.4  0.0  203.5           0.0      938.2    849.0    3   \n",
              "\n",
              "     strength  \n",
              "230      2.33  "
            ],
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              "\n",
              "  <div id=\"df-7bf3ffa9-82b4-4724-bf5b-45a65f9a1811\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
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              "        vertical-align: middle;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>cement</th>\n",
              "      <th>slag</th>\n",
              "      <th>ash</th>\n",
              "      <th>water</th>\n",
              "      <th>superplastic</th>\n",
              "      <th>coarseagg</th>\n",
              "      <th>fineagg</th>\n",
              "      <th>age</th>\n",
              "      <th>strength</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>230</th>\n",
              "      <td>108.3</td>\n",
              "      <td>162.4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>203.5</td>\n",
              "      <td>0.0</td>\n",
              "      <td>938.2</td>\n",
              "      <td>849.0</td>\n",
              "      <td>3</td>\n",
              "      <td>2.33</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7bf3ffa9-82b4-4724-bf5b-45a65f9a1811')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "        \n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\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-7bf3ffa9-82b4-4724-bf5b-45a65f9a1811 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-7bf3ffa9-82b4-4724-bf5b-45a65f9a1811');\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
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 5) Berikan kesimpulan akhir anda terhadap pengaruh komposisi concrete berdasarkan dataset yang digunakan"
      ],
      "metadata": {
        "id": "0Aiz_23gCX7A"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.heatmap(concrete.corr())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 338
        },
        "id": "9t4XbiRnCbP3",
        "outputId": "461df3a0-5fac-4625-bc5b-56539cc493a4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f121e7ff690>"
            ]
          },
          "metadata": {},
          "execution_count": 20
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cols = concrete.columns[:-2]\n",
        "fig, axes = plt.subplots(1, len(cols), figsize=(4 * len(cols), 4))\n",
        "\n",
        "for i, col in enumerate(cols):\n",
        "  sns.scatterplot(x=concrete[col], y=concrete['strength'], ax=axes[i])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170
        },
        "id": "-wCpM-3oCmqG",
        "outputId": "bdf4a7a2-9db2-44d9-9224-6ee7a3f58f4d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2016x288 with 7 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "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": "3.6.9"
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}