Data Visualization in R and Python

Data Visualization in R and Python, 1st Edition, by Marco Cremonini, was released in 2025 by publisher Wiley-Blackwell. Intended for students and professionals, this textbook establishes core methods for rendering graphical content within data science environments. The text combines visual design concepts with step-by-step programming instructions across dual language workflows.

The content delivers detailed treatment for primary visualization tools in both programming languages. Within the R environment, instruction focuses on the Ggplot2 library for constructing custom graphics. For Python workflows, coverage extends to the Seaborn and Altair libraries, detailing how code structures translate datasets into static charts and geographic maps.

Beyond static output, the text examines interactive web dashboards utilizing the Plotly/Dash and Shiny frameworks. Practical application is reinforced through case studies accompanying each chapter, which illustrate real-world data operations and code logic applied to Open Data sources.