From no-frills graphics to adding color and labeling your data, here's what you need to know.

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in.

In addition to ensuring that every R developer is using the same official style, we also hoped this package would make data visualization in R more user-friendly for those who are newer to programming ...

Easy-to-use mapping tools give researchers the power to create beautiful visualizations of geographic data.

Bo McCready's creative data visualization projects have helped him win over the stat nerds of Reddit's r/dataisbeautiful in just seven short months.

Data visualization is using data and statistics in creative ways to show patterns and draw conclusions about a hypothesis, or prove theories, that can help drive decisions in the organization.

“The Buffalization Data Visualization Challenge was my favorite event I participated in last year and winning it added great value to my resume.” -Niranjan Cholendiran, Master of Science in Data ...