The first commandment of data visualization is to define or identify the purpose—i.e., what to visualize or show. Purpose comes from knowing your stakeholders and their objectives.

Now compare those pie charts to these bar graphs. They show the same information, but the bar graphs let us see much more precisely both the changes and how big the different categories are.

R is an open-source programming language that enables effective handling of data while providing powerful graphical capabilities. This workshop series is tailored to beginners and assumes no prior ...

Communicating data clearly and impactfully has become a top priority for many professionals. Whether you know your audience, or you share your work with a largely unknown audience, all of us can ...

Common data visualization downfalls To understand just how easily visualizations can deceive, take a look at the following examples and how they can be corrected. 1. Truncated graphs One of the most ...

Employ data manipulation libraries like pandas in Python or dplyr in R to preprocess and clean large datasets before visualization. Consider using data streaming techniques for real-time data ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

R is an open-source programming language that enables effective handling of data, while providing powerful graphical capabilities. This workshop series is tailored to beginners and assumes no prior ...