DataScienceAndBigDataAnalytics/Codes/Code-A10 (Data visualisation-3).md

A10 - Data visualization-3

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1. Import library

import seaborn as sns
import matplotlib.pyplot as plt

2. Load the databset

dataset = sns.load_dataset("iris")
dataset.head()

3. Histogram

fig, axes = plt.subplots(2, 2, figsize=(16,9))
sns.histplot(dataset['sepal_length'], ax=axes[0,0])
sns.histplot(dataset['sepal_width'], ax=axes[0,1])
sns.histplot(dataset['petal_length'], ax=axes[1,0])
sns.histplot(dataset['petal_width'], ax=axes[1,1])

4. Boxplot

fig, axes = plt.subplots(2, 2, figsize=(16,9))
sns.boxplot(y="petal_length", x="species", data=dataset, ax=axes[0,0])
sns.boxplot(y="petal_width", x="species", data=dataset, ax=axes[0,1])
sns.boxplot(y="sepal_length", x="species", data=dataset, ax=axes[1,0])
sns.boxplot(y="sepal_width", x="species", data=dataset, ax=axes[1,1])

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