Python For Data Visualization by G.M. Story
A practical guide to creating clear, informative visualizations with Python, covering core plotting libraries (such as Matplotlib, Seaborn, and interactive tools like Plotly and Bokeh), techniques for preparing and aggregating data, and principles of good visual design. It walks through common chart types and when to use them, offers code examples and reproducible workflows for exploratory and presentation-ready graphics, and discusses interactivity, dashboards, and deployment considerations so readers can turn data into actionable, communicative visuals.
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