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Berikut ini adalah testing integrasi R dengan Jupyter Notebook
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testingIntegrasiRDenganJupyterNotebook.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Load Iris Datasets with R from Jupyter Notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Load library dplyr:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n",
"Attaching package: 'dplyr'\n",
"\n",
"The following objects are masked from 'package:stats':\n",
"\n",
" filter, lag\n",
"\n",
"The following objects are masked from 'package:base':\n",
"\n",
" intersect, setdiff, setequal, union\n",
"\n"
]
}
],
"source": [
"library(dplyr)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Load dataset Fisher's Iris multivariate, dan menampilkannya dalam data frame:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table>\n",
"<thead><tr><th scope=col>Sepal.Length</th><th scope=col>Sepal.Width</th><th scope=col>Petal.Length</th><th scope=col>Petal.Width</th><th scope=col>Species</th></tr></thead>\n",
"<tbody>\n",
"\t<tr><td>5.1 </td><td>3.5 </td><td>1.4 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>4.9 </td><td>3.0 </td><td>1.4 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>4.7 </td><td>3.2 </td><td>1.3 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>4.6 </td><td>3.1 </td><td>1.5 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.0 </td><td>3.6 </td><td>1.4 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.4 </td><td>3.9 </td><td>1.7 </td><td>0.4 </td><td>setosa</td></tr>\n",
"\t<tr><td>4.6 </td><td>3.4 </td><td>1.4 </td><td>0.3 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.0 </td><td>3.4 </td><td>1.5 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>4.4 </td><td>2.9 </td><td>1.4 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>4.9 </td><td>3.1 </td><td>1.5 </td><td>0.1 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.4 </td><td>3.7 </td><td>1.5 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>4.8 </td><td>3.4 </td><td>1.6 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>4.8 </td><td>3.0 </td><td>1.4 </td><td>0.1 </td><td>setosa</td></tr>\n",
"\t<tr><td>4.3 </td><td>3.0 </td><td>1.1 </td><td>0.1 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.8 </td><td>4.0 </td><td>1.2 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.7 </td><td>4.4 </td><td>1.5 </td><td>0.4 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.4 </td><td>3.9 </td><td>1.3 </td><td>0.4 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.1 </td><td>3.5 </td><td>1.4 </td><td>0.3 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.7 </td><td>3.8 </td><td>1.7 </td><td>0.3 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.1 </td><td>3.8 </td><td>1.5 </td><td>0.3 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.4 </td><td>3.4 </td><td>1.7 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.1 </td><td>3.7 </td><td>1.5 </td><td>0.4 </td><td>setosa</td></tr>\n",
"\t<tr><td>4.6 </td><td>3.6 </td><td>1.0 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.1 </td><td>3.3 </td><td>1.7 </td><td>0.5 </td><td>setosa</td></tr>\n",
"\t<tr><td>4.8 </td><td>3.4 </td><td>1.9 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.0 </td><td>3.0 </td><td>1.6 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.0 </td><td>3.4 </td><td>1.6 </td><td>0.4 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.2 </td><td>3.5 </td><td>1.5 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>5.2 </td><td>3.4 </td><td>1.4 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>4.7 </td><td>3.2 </td><td>1.6 </td><td>0.2 </td><td>setosa</td></tr>\n",
"\t<tr><td>...</td><td>...</td><td>...</td><td>...</td><td>...</td></tr>\n",
"\t<tr><td>6.9 </td><td>3.2 </td><td>5.7 </td><td>2.3 </td><td>virginica</td></tr>\n",
"\t<tr><td>5.6 </td><td>2.8 </td><td>4.9 </td><td>2.0 </td><td>virginica</td></tr>\n",
"\t<tr><td>7.7 </td><td>2.8 </td><td>6.7 </td><td>2.0 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.3 </td><td>2.7 </td><td>4.9 </td><td>1.8 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.7 </td><td>3.3 </td><td>5.7 </td><td>2.1 </td><td>virginica</td></tr>\n",
"\t<tr><td>7.2 </td><td>3.2 </td><td>6.0 </td><td>1.8 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.2 </td><td>2.8 </td><td>4.8 </td><td>1.8 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.1 </td><td>3.0 </td><td>4.9 </td><td>1.8 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.4 </td><td>2.8 </td><td>5.6 </td><td>2.1 </td><td>virginica</td></tr>\n",
"\t<tr><td>7.2 </td><td>3.0 </td><td>5.8 </td><td>1.6 </td><td>virginica</td></tr>\n",
"\t<tr><td>7.4 </td><td>2.8 </td><td>6.1 </td><td>1.9 </td><td>virginica</td></tr>\n",
"\t<tr><td>7.9 </td><td>3.8 </td><td>6.4 </td><td>2.0 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.4 </td><td>2.8 </td><td>5.6 </td><td>2.2 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.3 </td><td>2.8 </td><td>5.1 </td><td>1.5 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.1 </td><td>2.6 </td><td>5.6 </td><td>1.4 </td><td>virginica</td></tr>\n",
"\t<tr><td>7.7 </td><td>3.0 </td><td>6.1 </td><td>2.3 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.3 </td><td>3.4 </td><td>5.6 </td><td>2.4 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.4 </td><td>3.1 </td><td>5.5 </td><td>1.8 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.0 </td><td>3.0 </td><td>4.8 </td><td>1.8 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.9 </td><td>3.1 </td><td>5.4 </td><td>2.1 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.7 </td><td>3.1 </td><td>5.6 </td><td>2.4 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.9 </td><td>3.1 </td><td>5.1 </td><td>2.3 </td><td>virginica</td></tr>\n",
"\t<tr><td>5.8 </td><td>2.7 </td><td>5.1 </td><td>1.9 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.8 </td><td>3.2 </td><td>5.9 </td><td>2.3 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.7 </td><td>3.3 </td><td>5.7 </td><td>2.5 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.7 </td><td>3.0 </td><td>5.2 </td><td>2.3 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.3 </td><td>2.5 </td><td>5.0 </td><td>1.9 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.5 </td><td>3.0 </td><td>5.2 </td><td>2.0 </td><td>virginica</td></tr>\n",
"\t<tr><td>6.2 </td><td>3.4 </td><td>5.4 </td><td>2.3 </td><td>virginica</td></tr>\n",
"\t<tr><td>5.9 </td><td>3.0 </td><td>5.1 </td><td>1.8 </td><td>virginica</td></tr>\n",
"</tbody>\n",
"</table>\n"
],
"text/latex": [
"\\begin{tabular}{r|lllll}\n",
" Sepal.Length & Sepal.Width & Petal.Length & Petal.Width & Species\\\\\n",
"\\hline\n",
"\t 5.1 & 3.5 & 1.4 & 0.2 & setosa\\\\\n",
"\t 4.9 & 3.0 & 1.4 & 0.2 & setosa\\\\\n",
"\t 4.7 & 3.2 & 1.3 & 0.2 & setosa\\\\\n",
"\t 4.6 & 3.1 & 1.5 & 0.2 & setosa\\\\\n",
"\t 5.0 & 3.6 & 1.4 & 0.2 & setosa\\\\\n",
"\t 5.4 & 3.9 & 1.7 & 0.4 & setosa\\\\\n",
"\t 4.6 & 3.4 & 1.4 & 0.3 & setosa\\\\\n",
"\t 5.0 & 3.4 & 1.5 & 0.2 & setosa\\\\\n",
"\t 4.4 & 2.9 & 1.4 & 0.2 & setosa\\\\\n",
"\t 4.9 & 3.1 & 1.5 & 0.1 & setosa\\\\\n",
"\t 5.4 & 3.7 & 1.5 & 0.2 & setosa\\\\\n",
"\t 4.8 & 3.4 & 1.6 & 0.2 & setosa\\\\\n",
"\t 4.8 & 3.0 & 1.4 & 0.1 & setosa\\\\\n",
"\t 4.3 & 3.0 & 1.1 & 0.1 & setosa\\\\\n",
"\t 5.8 & 4.0 & 1.2 & 0.2 & setosa\\\\\n",
"\t 5.7 & 4.4 & 1.5 & 0.4 & setosa\\\\\n",
"\t 5.4 & 3.9 & 1.3 & 0.4 & setosa\\\\\n",
"\t 5.1 & 3.5 & 1.4 & 0.3 & setosa\\\\\n",
"\t 5.7 & 3.8 & 1.7 & 0.3 & setosa\\\\\n",
"\t 5.1 & 3.8 & 1.5 & 0.3 & setosa\\\\\n",
"\t 5.4 & 3.4 & 1.7 & 0.2 & setosa\\\\\n",
"\t 5.1 & 3.7 & 1.5 & 0.4 & setosa\\\\\n",
"\t 4.6 & 3.6 & 1.0 & 0.2 & setosa\\\\\n",
"\t 5.1 & 3.3 & 1.7 & 0.5 & setosa\\\\\n",
"\t 4.8 & 3.4 & 1.9 & 0.2 & setosa\\\\\n",
"\t 5.0 & 3.0 & 1.6 & 0.2 & setosa\\\\\n",
"\t 5.0 & 3.4 & 1.6 & 0.4 & setosa\\\\\n",
"\t 5.2 & 3.5 & 1.5 & 0.2 & setosa\\\\\n",
"\t 5.2 & 3.4 & 1.4 & 0.2 & setosa\\\\\n",
"\t 4.7 & 3.2 & 1.6 & 0.2 & setosa\\\\\n",
"\t ... & ... & ... & ... & ...\\\\\n",
"\t 6.9 & 3.2 & 5.7 & 2.3 & virginica\\\\\n",
"\t 5.6 & 2.8 & 4.9 & 2.0 & virginica\\\\\n",
"\t 7.7 & 2.8 & 6.7 & 2.0 & virginica\\\\\n",
"\t 6.3 & 2.7 & 4.9 & 1.8 & virginica\\\\\n",
"\t 6.7 & 3.3 & 5.7 & 2.1 & virginica\\\\\n",
"\t 7.2 & 3.2 & 6.0 & 1.8 & virginica\\\\\n",
"\t 6.2 & 2.8 & 4.8 & 1.8 & virginica\\\\\n",
"\t 6.1 & 3.0 & 4.9 & 1.8 & virginica\\\\\n",
"\t 6.4 & 2.8 & 5.6 & 2.1 & virginica\\\\\n",
"\t 7.2 & 3.0 & 5.8 & 1.6 & virginica\\\\\n",
"\t 7.4 & 2.8 & 6.1 & 1.9 & virginica\\\\\n",
"\t 7.9 & 3.8 & 6.4 & 2.0 & virginica\\\\\n",
"\t 6.4 & 2.8 & 5.6 & 2.2 & virginica\\\\\n",
"\t 6.3 & 2.8 & 5.1 & 1.5 & virginica\\\\\n",
"\t 6.1 & 2.6 & 5.6 & 1.4 & virginica\\\\\n",
"\t 7.7 & 3.0 & 6.1 & 2.3 & virginica\\\\\n",
"\t 6.3 & 3.4 & 5.6 & 2.4 & virginica\\\\\n",
"\t 6.4 & 3.1 & 5.5 & 1.8 & virginica\\\\\n",
"\t 6.0 & 3.0 & 4.8 & 1.8 & virginica\\\\\n",
"\t 6.9 & 3.1 & 5.4 & 2.1 & virginica\\\\\n",
"\t 6.7 & 3.1 & 5.6 & 2.4 & virginica\\\\\n",
"\t 6.9 & 3.1 & 5.1 & 2.3 & virginica\\\\\n",
"\t 5.8 & 2.7 & 5.1 & 1.9 & virginica\\\\\n",
"\t 6.8 & 3.2 & 5.9 & 2.3 & virginica\\\\\n",
"\t 6.7 & 3.3 & 5.7 & 2.5 & virginica\\\\\n",
"\t 6.7 & 3.0 & 5.2 & 2.3 & virginica\\\\\n",
"\t 6.3 & 2.5 & 5.0 & 1.9 & virginica\\\\\n",
"\t 6.5 & 3.0 & 5.2 & 2.0 & virginica\\\\\n",
"\t 6.2 & 3.4 & 5.4 & 2.3 & virginica\\\\\n",
"\t 5.9 & 3.0 & 5.1 & 1.8 & virginica\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"| Sepal.Length | Sepal.Width | Petal.Length | Petal.Width | Species |\n",
"|---|---|---|---|---|\n",
"| 5.1 | 3.5 | 1.4 | 0.2 | setosa |\n",
"| 4.9 | 3.0 | 1.4 | 0.2 | setosa |\n",
"| 4.7 | 3.2 | 1.3 | 0.2 | setosa |\n",
"| 4.6 | 3.1 | 1.5 | 0.2 | setosa |\n",
"| 5.0 | 3.6 | 1.4 | 0.2 | setosa |\n",
"| 5.4 | 3.9 | 1.7 | 0.4 | setosa |\n",
"| 4.6 | 3.4 | 1.4 | 0.3 | setosa |\n",
"| 5.0 | 3.4 | 1.5 | 0.2 | setosa |\n",
"| 4.4 | 2.9 | 1.4 | 0.2 | setosa |\n",
"| 4.9 | 3.1 | 1.5 | 0.1 | setosa |\n",
"| 5.4 | 3.7 | 1.5 | 0.2 | setosa |\n",
"| 4.8 | 3.4 | 1.6 | 0.2 | setosa |\n",
"| 4.8 | 3.0 | 1.4 | 0.1 | setosa |\n",
"| 4.3 | 3.0 | 1.1 | 0.1 | setosa |\n",
"| 5.8 | 4.0 | 1.2 | 0.2 | setosa |\n",
"| 5.7 | 4.4 | 1.5 | 0.4 | setosa |\n",
"| 5.4 | 3.9 | 1.3 | 0.4 | setosa |\n",
"| 5.1 | 3.5 | 1.4 | 0.3 | setosa |\n",
"| 5.7 | 3.8 | 1.7 | 0.3 | setosa |\n",
"| 5.1 | 3.8 | 1.5 | 0.3 | setosa |\n",
"| 5.4 | 3.4 | 1.7 | 0.2 | setosa |\n",
"| 5.1 | 3.7 | 1.5 | 0.4 | setosa |\n",
"| 4.6 | 3.6 | 1.0 | 0.2 | setosa |\n",
"| 5.1 | 3.3 | 1.7 | 0.5 | setosa |\n",
"| 4.8 | 3.4 | 1.9 | 0.2 | setosa |\n",
"| 5.0 | 3.0 | 1.6 | 0.2 | setosa |\n",
"| 5.0 | 3.4 | 1.6 | 0.4 | setosa |\n",
"| 5.2 | 3.5 | 1.5 | 0.2 | setosa |\n",
"| 5.2 | 3.4 | 1.4 | 0.2 | setosa |\n",
"| 4.7 | 3.2 | 1.6 | 0.2 | setosa |\n",
"| ... | ... | ... | ... | ... |\n",
"| 6.9 | 3.2 | 5.7 | 2.3 | virginica |\n",
"| 5.6 | 2.8 | 4.9 | 2.0 | virginica |\n",
"| 7.7 | 2.8 | 6.7 | 2.0 | virginica |\n",
"| 6.3 | 2.7 | 4.9 | 1.8 | virginica |\n",
"| 6.7 | 3.3 | 5.7 | 2.1 | virginica |\n",
"| 7.2 | 3.2 | 6.0 | 1.8 | virginica |\n",
"| 6.2 | 2.8 | 4.8 | 1.8 | virginica |\n",
"| 6.1 | 3.0 | 4.9 | 1.8 | virginica |\n",
"| 6.4 | 2.8 | 5.6 | 2.1 | virginica |\n",
"| 7.2 | 3.0 | 5.8 | 1.6 | virginica |\n",
"| 7.4 | 2.8 | 6.1 | 1.9 | virginica |\n",
"| 7.9 | 3.8 | 6.4 | 2.0 | virginica |\n",
"| 6.4 | 2.8 | 5.6 | 2.2 | virginica |\n",
"| 6.3 | 2.8 | 5.1 | 1.5 | virginica |\n",
"| 6.1 | 2.6 | 5.6 | 1.4 | virginica |\n",
"| 7.7 | 3.0 | 6.1 | 2.3 | virginica |\n",
"| 6.3 | 3.4 | 5.6 | 2.4 | virginica |\n",
"| 6.4 | 3.1 | 5.5 | 1.8 | virginica |\n",
"| 6.0 | 3.0 | 4.8 | 1.8 | virginica |\n",
"| 6.9 | 3.1 | 5.4 | 2.1 | virginica |\n",
"| 6.7 | 3.1 | 5.6 | 2.4 | virginica |\n",
"| 6.9 | 3.1 | 5.1 | 2.3 | virginica |\n",
"| 5.8 | 2.7 | 5.1 | 1.9 | virginica |\n",
"| 6.8 | 3.2 | 5.9 | 2.3 | virginica |\n",
"| 6.7 | 3.3 | 5.7 | 2.5 | virginica |\n",
"| 6.7 | 3.0 | 5.2 | 2.3 | virginica |\n",
"| 6.3 | 2.5 | 5.0 | 1.9 | virginica |\n",
"| 6.5 | 3.0 | 5.2 | 2.0 | virginica |\n",
"| 6.2 | 3.4 | 5.4 | 2.3 | virginica |\n",
"| 5.9 | 3.0 | 5.1 | 1.8 | virginica |\n",
"\n"
],
"text/plain": [
" Sepal.Length Sepal.Width Petal.Length Petal.Width Species \n",
"1 5.1 3.5 1.4 0.2 setosa \n",
"2 4.9 3.0 1.4 0.2 setosa \n",
"3 4.7 3.2 1.3 0.2 setosa \n",
"4 4.6 3.1 1.5 0.2 setosa \n",
"5 5.0 3.6 1.4 0.2 setosa \n",
"6 5.4 3.9 1.7 0.4 setosa \n",
"7 4.6 3.4 1.4 0.3 setosa \n",
"8 5.0 3.4 1.5 0.2 setosa \n",
"9 4.4 2.9 1.4 0.2 setosa \n",
"10 4.9 3.1 1.5 0.1 setosa \n",
"11 5.4 3.7 1.5 0.2 setosa \n",
"12 4.8 3.4 1.6 0.2 setosa \n",
"13 4.8 3.0 1.4 0.1 setosa \n",
"14 4.3 3.0 1.1 0.1 setosa \n",
"15 5.8 4.0 1.2 0.2 setosa \n",
"16 5.7 4.4 1.5 0.4 setosa \n",
"17 5.4 3.9 1.3 0.4 setosa \n",
"18 5.1 3.5 1.4 0.3 setosa \n",
"19 5.7 3.8 1.7 0.3 setosa \n",
"20 5.1 3.8 1.5 0.3 setosa \n",
"21 5.4 3.4 1.7 0.2 setosa \n",
"22 5.1 3.7 1.5 0.4 setosa \n",
"23 4.6 3.6 1.0 0.2 setosa \n",
"24 5.1 3.3 1.7 0.5 setosa \n",
"25 4.8 3.4 1.9 0.2 setosa \n",
"26 5.0 3.0 1.6 0.2 setosa \n",
"27 5.0 3.4 1.6 0.4 setosa \n",
"28 5.2 3.5 1.5 0.2 setosa \n",
"29 5.2 3.4 1.4 0.2 setosa \n",
"30 4.7 3.2 1.6 0.2 setosa \n",
"... ... ... ... ... ... \n",
"121 6.9 3.2 5.7 2.3 virginica\n",
"122 5.6 2.8 4.9 2.0 virginica\n",
"123 7.7 2.8 6.7 2.0 virginica\n",
"124 6.3 2.7 4.9 1.8 virginica\n",
"125 6.7 3.3 5.7 2.1 virginica\n",
"126 7.2 3.2 6.0 1.8 virginica\n",
"127 6.2 2.8 4.8 1.8 virginica\n",
"128 6.1 3.0 4.9 1.8 virginica\n",
"129 6.4 2.8 5.6 2.1 virginica\n",
"130 7.2 3.0 5.8 1.6 virginica\n",
"131 7.4 2.8 6.1 1.9 virginica\n",
"132 7.9 3.8 6.4 2.0 virginica\n",
"133 6.4 2.8 5.6 2.2 virginica\n",
"134 6.3 2.8 5.1 1.5 virginica\n",
"135 6.1 2.6 5.6 1.4 virginica\n",
"136 7.7 3.0 6.1 2.3 virginica\n",
"137 6.3 3.4 5.6 2.4 virginica\n",
"138 6.4 3.1 5.5 1.8 virginica\n",
"139 6.0 3.0 4.8 1.8 virginica\n",
"140 6.9 3.1 5.4 2.1 virginica\n",
"141 6.7 3.1 5.6 2.4 virginica\n",
"142 6.9 3.1 5.1 2.3 virginica\n",
"143 5.8 2.7 5.1 1.9 virginica\n",
"144 6.8 3.2 5.9 2.3 virginica\n",
"145 6.7 3.3 5.7 2.5 virginica\n",
"146 6.7 3.0 5.2 2.3 virginica\n",
"147 6.3 2.5 5.0 1.9 virginica\n",
"148 6.5 3.0 5.2 2.0 virginica\n",
"149 6.2 3.4 5.4 2.3 virginica\n",
"150 5.9 3.0 5.1 1.8 virginica"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"iris"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Load library ggplot2:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"library(ggplot2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Visualisasikan data menggunakan scatter plot, untuk mengkomparasikan panjang dan lebar sepal dari tiga species iris yang berbeda: "
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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hYpCC0cnFxNFV/PIgWhhYOTq6ni61mkILRwcHI1VXw9ixSEFg5OrqaKr2eRgtDC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\nRTKGgEUyhoBFMoaARTKGwP8DoqiWD/D4NpYAAAAASUVORK5CYII=",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ggplot(data=iris, aes(x=Sepal.Length, y=Sepal.Width, color=Species)) + geom_point(size=3)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "R",
"language": "R",
"name": "ir"
},
"language_info": {
"codemirror_mode": "r",
"file_extension": ".r",
"mimetype": "text/x-r-source",
"name": "R",
"pygments_lexer": "r",
"version": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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