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 ...

ABSTRACT: Quantitative headspace analysis of volatiles emitted by plants or any other living organisms in chemical ecology studies generates large multidimensional data that require extensive mining ...

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 ...

Note the column name, mpg, is unquoted. That feature hasn’t been handy, though, if you want to write your own R functions using the tidyverse. That’s because base R functions usually need quoted ...

Note: this may have changed from 3.1.0, because we have rewritten the code that finds geometry columns. I would argue, though, that if the data given to ggplot2 is not of type sf then ggplot2 should ...

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 ...