How can I visualize different data types in a Pandas DataFrame?

How can I visualize different data types in a Pandas DataFrame?

You can use the DataFrame.dtypes attribute to check data types and libraries like Matplotlib or Seaborn for visualization.

Can you show me an example of how to visualize categorical vs numerical data?

Sure! You can use a box plot for numerical data and a count plot for categorical data. Would you like a code snippet?

Yes, please provide the code snippet!

Here's a simple example:

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

# Sample DataFrame
data = {'Category': ['A', 'B', 'A', 'B', 'C'], 'Values': [10, 20, 15, 25, 30]}
df = pd.DataFrame(data)

# Count plot for categorical data
sns.countplot(x='Category', data=df)
plt.show()

# Box plot for numerical data
sns.boxplot(x='Category', y='Values', data=df)
plt.show()

That looks great! How can I customize the plots further?

You can customize plots by changing colors, adding titles, and adjusting axes. For example, use plt.title('My Title') to add a title.