Welcome to the Section Data Visualization with Matplotlib and Seaborn!

In the first part of this section, you will learn how to visualize and plot data in DataFrames with Matplotlib.

This section covers:

1. Lineplots

2. Histogramms

3. Scatterplots

4. Customization of plots

Matplotlib is Pythons´s most popular plotting library with an extensive documentation and a vast number of options.

Have a look at the Documentation !

Analyzing Data by creating statistical/categorical plots with Seaborn is the most powerful discipline in Explanatory Analysis. Seaborn plots help to deeply understand relationships, correlations and the impact of categorical features in your Data.

The second part of this section covers:

1. Categorical plots

2. Matrixplots

3. Heatmaps

4. Joint plots

5. Regression plots

6. Customization of plots

For more information, have a look at the official Documentation !

Have Fun!