This week we cover dplyr, the grammar of data. Dplyr is complicated at first but the payoff is worth the effort. dplyr allows for easy manipulation of data and easy to read code. It can be combined ...

Back in May of this year, I set myself a challenge: I wanted to try as many applications and libraries and programming languages in the field of data visualization as possible. To compare these tools ...

ggplot2, by Hadley Wickham, is an excellent and flexible package for elegant data visualization in R. However the default generated plots requires some formatting before we can send them for ...

EDITOR’S NOTE: This article features language that may be hurtful to readers. On an April episode of “The Joe Rogan Experience,” the host used a slur within the first 45 seconds of the show. “The word ...

In the R programming language, the de facto standard framework for drawing rectangular coordinates is ggplot2. The most important feature of ggplot2 is that it is object-oriented and uses the plus ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Creating informative and digestible data visualizations is a foundational aspect ...

Disgraced R&B superstar R. Kelly was sentenced Wednesday to 30 years in prison, months after he was convicted on all nine counts in a high-profile sex trafficking case. U.S. District Judge Ann ...

library(ggplot2) library(ggtrendline) x <- c(1, 3, 6, 9, 13, 17) y <- c(5, 8, 11, 13, 13.2, 13.5) ggtrendline(x, y, model = "exp2P", linecolor = "blue", linetype = 1 ...

Create R data visualizations easily with a few lines of simple code using the ggcharts R package. Plus, the resulting charts and graphs are customizable ggplot objects. ggplot2 is an enormously ...

The ggplot2 package is powerful and almost endlessly customizable, but sometimes small tweaks can be a challenge. The ggtext package aims to simplify styling text on your visualizations. In this ...