This workshop is designed for students and research teams who want to turn cleaned data into clear, publication-ready graphics. Participants learn the core ideas behind the “grammar of graphics” and ...

Histograms are (visually) substantially different between the current released version 3.5.2 and the version in the 4.0.0 release candidate (3.5.2.9002, commit ce8d250). I'm not entirely sure where ...

Scientists commonly form histograms of counted events from their data, and extract parameters by fitting to a known model. Anytime a scientist counts photons, molecules, cells or data for individuals ...

This workshop is designed to introduce some of the basic techniques of data visualization in R with ggplot2 (an R package). The session will walk you through creating plots commonly used and seen in ...

Data visualization is a crucial aspect of data science that involves the graphical representation of data to identify trends, patterns, and outliers. The ability to effectively visualize data is vital ...

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 packages ...

A Mini Excel spreadsheet will appear; edit the spreadsheet. When the Mini Excel spreadsheet appears, it will show you an example of how to format the Histogram chart. Enter some frequencies into the ...

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 ...