From Sankey diagrams and spider plots to ridge plots, this text spans numerous visualizations, every with its distinctive use case and perception.

“Let the dataset change your mindset.” — Hans Rosling

Each information scientist is aware of that graphs are essential to their information tales. Python builders are lucky to work with a language providing a wealthy plot assortment. This text will reveal this richness by discussing use instances involving lesser-known visualizations like Sankey diagrams, ridge plots, insets, spider plots, and wordcloud plots. We will even talk about makes use of for extra acquainted graphical representations, corresponding to scatter and bar plots. Most plots will make the most of the Matplotlib, Seaborn, and Plotly Python libraries.

We’ll use attributes corresponding to form, measurement, shade, route, space measurement, and marker-symbol space to create plots for ten various use instances. In each use case, our purpose is to create efficient, environment friendly, and aesthetic visualizations. Allow us to describe what we imply by these phrases within the context of plots: (a) Efficient: All info that must be communicated is contained within the graph (b) Environment friendly. No redundant information is contained within the graph. (c ) Aesthetic…