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

Abstract: Over the past decades, various neural networks have been proposed with the rapid development of the machine learning field. In particular, graph neural networks using feature-vectors ...

For GIJN’s series on journalists’ favorite tools, we spoke to Alberto Cairo, Knight Chair in Visual Journalism and director of visualization, data communication, and information design at the ...

From COVID-19 data dashboards and election results to personal finance apps and social media analytics, visual representations of data are increasingly ubiquitous in day-to-day life and in business.

Please note that code in this tutorial was adapted from Chapters 3 of the book "R for Data Science" by Hadley Wickham and Garrett Grolemund. The full book can be found at: https://r4ds.had.co.nz/# A ...

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 ...