Using ggplot2 In particular, the ggplot2 package is quite popular and worth a look for robust visualizations. ggplot2 requires a bit of time to learn its “Grammar of Graphics” approach.

In addition to ensuring that every R developer is using the same official style, we also hoped this package would make data visualization in R more user-friendly for those who are newer to programming ...

This short course will start by making simple graphics in ggplot2 that are similar to plots made in R using the plot () function. It will then delve into the more complex, layer-based graphics that ...

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 ...

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

Employ data manipulation libraries like pandas in Python or dplyr in R to preprocess and clean large datasets before visualization. Consider using data streaming techniques for real-time data ...

Using the latest tools in R and R RStudio® for calculations and data visualization, students learn valuable skills they can take with them into a variety of future careers in the public sector, the ...