Introduce the main components needed to create a graphical object using the ggplot function. Explain the aesthetic mapping approach and what are geometry layers such as geom_point, geom_line etc. How ...

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 ...

This markdown document uses the mock data from the R workshop folder; you can read in your own data and replace the variable names to complete anova & Tukey, extract significance from the test output, ...

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 ...

Labeling all or some of your data with text can help tell a story — even when your graph is using other cues like color and size. ggplot has a couple of built-in ways of doing this, and the ggrepel ...

The statistical software R is well known for its very flexible graphical capabilities that are user-friendly if one understands the R programming language. One of the greatest aspects of R is the ...

There’s a reason ggplot2 is one of the most popular add-on packages for R: It’s a powerful, flexible and well-thought-out platform to create data visualizations you can customize to your heart’s ...