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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd">
<html><head><title>Iris Dataset</title></head><body><h1>Iris Describe Stastic</h1><table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th/>
<th>count</th>
<th>mean</th>
<th>std</th>
<th>min</th>
<th>25%</th>
<th>50%</th>
<th>75%</th>
<th>max</th>
</tr>
</thead>
<tbody>
<tr>
<th>Sepal_Length</th>
<td>150.0</td>
<td>5.843333</td>
<td>0.828066</td>
<td>4.3</td>
<td>5.1</td>
<td>5.80</td>
<td>6.4</td>
<td>7.9</td>
</tr>
<tr>
<th>Sepal_Width</th>
<td>150.0</td>
<td>3.054000</td>
<td>0.433594</td>
<td>2.0</td>
<td>2.8</td>
<td>3.00</td>
<td>3.3</td>
<td>4.4</td>
</tr>
<tr>
<th>Petal_Length</th>
<td>150.0</td>
<td>3.758667</td>
<td>1.764420</td>
<td>1.0</td>
<td>1.6</td>
<td>4.35</td>
<td>5.1</td>
<td>6.9</td>
</tr>
<tr>
<th>Petal_Width</th>
<td>150.0</td>
<td>1.198667</td>
<td>0.763161</td>
<td>0.1</td>
<td>0.3</td>
<td>1.30</td>
<td>1.8</td>
<td>2.5</td>
</tr>
</tbody>
</table><form action="/" method="POST">Uart On/Off : <input type="submit" name="submit" value="TXD"/> <input type="submit" name="submit" value="RXD"/> </form><h1>Iris Figure</h1> <img src="data:image/png;base64,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"/></body></html>