Data Visualization Lab

python
Run Inline
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
# Sample data
df = pd.DataFrame(np.random.randn(100, 4), columns=['A', 'B', 'C', 'D'])
# Pairplot
sns.pairplot(df)
plt.show()
# Correlation heatmap
sns.heatmap(df.corr(), annot=True, cmap='coolwarm')
plt.title('Correlation Matrix')
plt.show()
# Interactive with plotly
import plotly.express as px
fig = px.scatter(df, x='A', y='B', size='C', color='D')
fig.show()