You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Data-Science-For-Beginners/translations/id/1-Introduction/04-stats-and-probability/assignment.ipynb

260 lines
7.3 KiB

{
"cells": [
{
"cell_type": "markdown",
"source": [
"## Pengantar Probabilitas dan Statistik\n",
"## Tugas\n",
"\n",
"Dalam tugas ini, kita akan menggunakan dataset pasien diabetes yang diambil [dari sini](https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html).\n"
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 13,
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"df = pd.read_csv(\"../../data/diabetes.tsv\",sep='\\t')\n",
"df.head()"
],
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" AGE SEX BMI BP S1 S2 S3 S4 S5 S6 Y\n",
"0 59 2 32.1 101.0 157 93.2 38.0 4.0 4.8598 87 151\n",
"1 48 1 21.6 87.0 183 103.2 70.0 3.0 3.8918 69 75\n",
"2 72 2 30.5 93.0 156 93.6 41.0 4.0 4.6728 85 141\n",
"3 24 1 25.3 84.0 198 131.4 40.0 5.0 4.8903 89 206\n",
"4 50 1 23.0 101.0 192 125.4 52.0 4.0 4.2905 80 135"
],
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>AGE</th>\n",
" <th>SEX</th>\n",
" <th>BMI</th>\n",
" <th>BP</th>\n",
" <th>S1</th>\n",
" <th>S2</th>\n",
" <th>S3</th>\n",
" <th>S4</th>\n",
" <th>S5</th>\n",
" <th>S6</th>\n",
" <th>Y</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>59</td>\n",
" <td>2</td>\n",
" <td>32.1</td>\n",
" <td>101.0</td>\n",
" <td>157</td>\n",
" <td>93.2</td>\n",
" <td>38.0</td>\n",
" <td>4.0</td>\n",
" <td>4.8598</td>\n",
" <td>87</td>\n",
" <td>151</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>48</td>\n",
" <td>1</td>\n",
" <td>21.6</td>\n",
" <td>87.0</td>\n",
" <td>183</td>\n",
" <td>103.2</td>\n",
" <td>70.0</td>\n",
" <td>3.0</td>\n",
" <td>3.8918</td>\n",
" <td>69</td>\n",
" <td>75</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>72</td>\n",
" <td>2</td>\n",
" <td>30.5</td>\n",
" <td>93.0</td>\n",
" <td>156</td>\n",
" <td>93.6</td>\n",
" <td>41.0</td>\n",
" <td>4.0</td>\n",
" <td>4.6728</td>\n",
" <td>85</td>\n",
" <td>141</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>24</td>\n",
" <td>1</td>\n",
" <td>25.3</td>\n",
" <td>84.0</td>\n",
" <td>198</td>\n",
" <td>131.4</td>\n",
" <td>40.0</td>\n",
" <td>5.0</td>\n",
" <td>4.8903</td>\n",
" <td>89</td>\n",
" <td>206</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>50</td>\n",
" <td>1</td>\n",
" <td>23.0</td>\n",
" <td>101.0</td>\n",
" <td>192</td>\n",
" <td>125.4</td>\n",
" <td>52.0</td>\n",
" <td>4.0</td>\n",
" <td>4.2905</td>\n",
" <td>80</td>\n",
" <td>135</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
]
},
"metadata": {},
"execution_count": 13
}
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"Dalam dataset ini, kolom-kolomnya adalah sebagai berikut:\n",
"* Usia dan jenis kelamin sudah jelas\n",
"* BMI adalah indeks massa tubuh\n",
"* BP adalah tekanan darah rata-rata\n",
"* S1 hingga S6 adalah berbagai pengukuran darah\n",
"* Y adalah ukuran kualitatif dari perkembangan penyakit selama satu tahun\n",
"\n",
"Mari kita pelajari dataset ini menggunakan metode probabilitas dan statistik.\n",
"\n",
"### Tugas 1: Hitung nilai rata-rata dan variansi untuk semua nilai\n"
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": null,
"source": [],
"outputs": [],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"### Tugas 2: Plot boxplot untuk BMI, BP, dan Y berdasarkan jenis kelamin\n"
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": null,
"source": [],
"outputs": [],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": null,
"source": [],
"outputs": [],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [
"### Tugas 4: Uji korelasi antara berbagai variabel dan perkembangan penyakit (Y)\n",
"\n",
"> **Petunjuk** Matriks korelasi akan memberikan informasi paling berguna tentang nilai-nilai mana yang saling bergantung.\n"
],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [],
"metadata": {}
},
{
"cell_type": "markdown",
"source": [],
"metadata": {}
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n---\n\n**Penafian**: \nDokumen ini telah diterjemahkan menggunakan layanan penerjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berupaya untuk memberikan hasil yang akurat, harap diperhatikan bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang berwenang. Untuk informasi yang bersifat kritis, disarankan menggunakan jasa penerjemahan manusia profesional. Kami tidak bertanggung jawab atas kesalahpahaman atau penafsiran yang keliru yang timbul dari penggunaan terjemahan ini.\n"
]
}
],
"metadata": {
"orig_nbformat": 4,
"language_info": {
"name": "python",
"version": "3.8.8",
"mimetype": "text/x-python",
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"pygments_lexer": "ipython3",
"nbconvert_exporter": "python",
"file_extension": ".py"
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3.8.8 64-bit (conda)"
},
"interpreter": {
"hash": "86193a1ab0ba47eac1c69c1756090baa3b420b3eea7d4aafab8b85f8b312f0c5"
},
"coopTranslator": {
"original_hash": "6d945fd15163f60cb473dbfe04b2d100",
"translation_date": "2025-09-06T17:43:52+00:00",
"source_file": "1-Introduction/04-stats-and-probability/assignment.ipynb",
"language_code": "id"
}
},
"nbformat": 4,
"nbformat_minor": 2
}