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 ...

Several packages aim to streamline ggplot2 so common data visualizations are either simpler or more intuitive. If you tend to forget which geoms to use for what, I recommend giving ggblanket a try.

This year, my pitch on 5 data visualizations in R in 5 minutes, all in 5 lines of code or less was one of the winning proposals. Here is a version of that talk I recorded in advance.

This second course of the Data-Driven Decision Making (DDDM) series provides a high-level overview of data analysis and visualization tools, preparing learners to discuss best practices and ...

Scientists at China Pharmaceutical University have launched GseaVis, a groundbreaking R package designed to transform how researchers visualize and interpret Gene Set Enrichment Analysis (GSEA) ...

I am amazed that I can code a complex data visualization in R, for example, with just three lines of code. My favorite tool at the moment is Quadrigram – it does a lot of what Tableau can do ...

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.

In my 20 years of experience, I've seen how data centralization and visualization can support strategic decision making by making complex data from multiple sources clear and easy to interpret ...

Which tools should be used to meet the objective of an audit procedure is a matter of the auditor’s professional judgment. Tools used to perform audit data analytics can be as simple as spreadsheet ...

This second course of the Data-Driven Decision Making (DDDM) series provides a high-level overview of data analysis and visualization tools, preparing learners to discuss best practices and ...