The New York Times had a [tragic] story on Covid deaths today and one of their plots really stuck with me for how well it told that part of the story. NOTE: The red panel highlights are off a bit as I manually typed the data in (I only did the recreation to keep {ggplot2}… Continue reading →

The latest round of the 2020 Democratic debates is over and the data from all the 2019 editions of the debates have been added to {ggchicklet}. The structure of the debates2019 built-in dataset has changed a bit: library(ggchicklet) library(hrbrthemes) library(tidyverse) debates2019 ## # A tibble: 641 x 7 ## elapsed timestamp speaker topic debate_date debate_group… Continue reading →

The first U.S. Democratic debates of the 2020 election season were held over two nights this past week due to the daft number of candidates running for POTUS. The spiffy @NYTgraphics folks took the tallies of time spent blathering by each speaker/topic and made rounded rectangle segmented bar charts ordered by the time the blathering… Continue reading →

I’ve become a big fan of the {logspline} package over the past ~6 months and decided to wrap up a manual ggplot2 plotting process (well, it was at least in an RStudio snippet) into a small {ggplot2} Stat to make it easier to visualize various components of the fitted model. If you’re new to logspline… Continue reading →

A user of the {ggalt} package recently posted a question about how to add points to a geom_dumbbell() plot. For now, this is not something you can do with geom_dumbbell() but with a bit of data wrangling you can do this in a pretty straightforward manner with just your data and ggplot2. The example below… Continue reading →