Suzy S
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Suzy S
@elmosbuddy.bsky.social
35 followers 100 following 5 posts
There is no I can't. Just I cat =^^=
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A little behind but just had to do a donut plot about donuts. Week 5 #TidyTuesday a deep dive into the simpsons. code: github.com/drsuuzzz/diz...
#Python #PyData
A donut plot showing counts for the number of times a character said the word donut. Homer not surprisingly said donut the most, i.e., 13 times
February 21, 2025 at 4:59 PM
Experimenting with #GeoPandas for #TidyTuesday and the water insecurity dataset showing only North Carolina. #RStats #python
code: github.com/drsuuzzz/diz...
Heatmap of NC counties showing percentage of the population that lacks plumbing
February 3, 2025 at 7:51 PM
Reposted by Suzy S
jonthegeek.com
Curator: @nnpereira
@dslc.io welcomes you to week 4 of #TidyTuesday! We're exploring Water Insecurity!

📁 https://tidytues.day/2025/2025-01-28
🗞️ https://waterdata.usgs.gov/blog/acs-maps/

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds
Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash. TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag. Three choropleth maps of the United States west of the Mississippi River, using 2022 U.S. Census Bureau Data, entitled Mapping water insecurity in R with tidycensus. The first choropleth is labeled Percent Hispanic, 2022, and shows the highest percentages of Hispanic people near the US-Mexico border, with scattered high percentages, such as in the state of Washington. The second choropleth is labeled Median gross rent, 2022, and shows the highest rents in California, Washington state, and Colorado. The third choropleth is labeled Average household size, 2022, and has scattered areas of large household size, with the highest averages in South Dakota, Utah, southern California, and southern Texas. The image also includes the hex logo of the tidycensus R package, with an indistinct choropleth map in shades of green.
January 27, 2025 at 1:40 PM
Enjoying a snow day. Finally a couple inches that didn’t melt right away!
January 22, 2025 at 3:25 PM
Reposted by Suzy S
jonthegeek.com
@dslc.io welcomes you to week 3 of #TidyTuesday! We're exploring The History of Himalayan Mountaineering Expeditions!

📂 https://tidytues.day/2025/2025-01-21
🗞️ https://www.himalayandatabase.com/index.html

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds
Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash. TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag. Cover of the book Himalayas by the Numbers by The Himalayan Database organization, featuring a detailed statistical breakdown of Himalayan mountaineering expeditions, with the title in bold white text on a dark blue background and a graphic of Himalayan peaks.
January 20, 2025 at 1:31 PM
August 24, 2023 at 4:15 AM
August 24, 2023 at 4:15 AM