41 lines
857 B
Markdown
41 lines
857 B
Markdown
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# A10 - Data visualization-3
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---
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1. Import library
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```python3
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import seaborn as sns
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import matplotlib.pyplot as plt
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```
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2. Load the databset
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```python3
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dataset = sns.load_dataset("iris")
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dataset.head()
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```
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3. Histogram
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```python3
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fig, axes = plt.subplots(2, 2, figsize=(16,9))
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sns.histplot(dataset['sepal_length'], ax=axes[0,0])
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sns.histplot(dataset['sepal_width'], ax=axes[0,1])
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sns.histplot(dataset['petal_length'], ax=axes[1,0])
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sns.histplot(dataset['petal_width'], ax=axes[1,1])
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```
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4. Boxplot
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```python3
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fig, axes = plt.subplots(2, 2, figsize=(16,9))
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sns.boxplot(y="petal_length", x="species", data=dataset, ax=axes[0,0])
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sns.boxplot(y="petal_width", x="species", data=dataset, ax=axes[0,1])
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sns.boxplot(y="sepal_length", x="species", data=dataset, ax=axes[1,0])
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sns.boxplot(y="sepal_width", x="species", data=dataset, ax=axes[1,1])
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```
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---
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