How do I prepare data for visualization using Seaborn in Jupyter?

How do I prepare data for visualization using Seaborn in Jupyter?

To prepare data for Seaborn, you should start by cleaning your dataset, handling missing values, and ensuring it's in a tidy format.

What are some common data cleaning techniques I should use?

Common techniques include removing duplicates, filling or dropping missing values, and converting data types as needed.

Can you show me an example of how to handle missing values?

Sure! You can use df.fillna(value) to fill missing values with a specific value or df.dropna() to remove rows with missing values.

How do I visualize the cleaned data with Seaborn?

Once your data is cleaned, you can use functions like sns.scatterplot() or sns.barplot() to create visualizations.