How do I prepare my data for Seaborn visualizations?
To prepare your data for Seaborn, ensure it's in a tidy format, where each variable is a column and each observation is a row.
What if my data has missing values?
You can handle missing values by either dropping them or filling them in with appropriate methods like mean or median imputation.
Can I use Pandas to clean my data before visualizing?
Absolutely! Pandas is great for data cleaning. You can use functions like dropna()
or fillna()
to manage missing data.
What types of plots can I create with Seaborn?
Seaborn offers various plots like scatter plots, line plots, bar plots, and heatmaps, among others.
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