2023-09-10 UPDATE: Art Steinmetz took me up on the Shiny challenge (at the end of the post) and did a fantastic job! The days are getting shorter and when we were visiting Down East Maine the other week, there was just a hint of some trees starting to change up their leaf palettes. It was… Continue reading
I was cranking out a blog post for work earlier this week that shows off just how many integrations our platform has. I won’t blather about that content here, but as I was working on it, I really wanted to show off all the integrations. A table seemed far too boring. Several categorized unordered lists… Continue reading
I have graphics working in Vanilla JS WebR, now, and I’ll cover the path to that in two parts. The intent was to jump straight into ggplot2-land, but, as you saw in my previous post, WASM’d ggplot2 is a bear. And, I really didn’t grok what the WebR site docs were saying about how to… Continue reading
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
I woke up to Axios’ “1 Big Thing” ridgeline chart showing the crazy that was the 2019 news cycle: and, I decided to reproduce it in {ggplot2}. Getting The Data First, I had to find the data. The Axios chart is interactive, so I assumed the visualization was built on-load. It was, but the data… 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