The ggplot2 package is powerful ... Graph with bold and colored headline text, plus legend removed. If I want to change the color of the x-axis text, I need to add data with that information ...

For everything from styling text and customizing color palettes to creating your own geoms, these ggplot2 add-ons deserve a place in your R data visualization toolkit. Plus, a bonus list of ...

You can use it as a replacement for geom_text in ggplot2, with the same arguments and aesthetics. For example, if you have a data frame called df with variables x, y, and label, you can create a ...

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 ...

Luckily, by leveraging the functionality of ggplot2, the most famous package for data visualization with R ... create more complex charts that feature multiple layers, annotations, text styling, ...

Written text is often full of awkward ... understand representation of information is often all that’s needed. Data visualization – the representation of data and information through charts ...

It has a rich and diverse ecosystem of packages and tools for data visualization, such as ggplot2, plotly ... and reproducible reports with code and text. R also has a strong community of users ...