Catching up on last week's #TidyTuesday, and keeping it simple with some line charts! This plot uses two of my favourite #ggplot2 extension packages:
πΊοΈ {geofacet} for visualising data across different geographic regions
π {gghighlight} for highlighting a subset of values in a chart, here showing each state in relation to others
Code: https://github.com/nrennie/tidytuesday/tree/main/2023/2023-09-05
#tidytuesday #ggplot2 #rstats #dataviz #r4ds
While doing teaching prep for a computational linguistics class, updating the scripts to include the new native pipe operator |>.
Did a little meta-analysis of my own #RStats scripts and the relative use of either pipe: change in progress! #tidyverse #ggplot2
Here is my #viz for the #TidyTuesday challenge β W36. This one is about union membership in the United States, 1970-2022.
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This week's data comes from the Union Membership, Coverage, and Earnings from the CPS.
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π: https://github.com/poncest/tidytuesday/tree/main/2023/Week_36
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#rstats | #r4ds | #tidyverse | #dataviz | #ggplot2
#viz #tidytuesday #rstats #r4ds #tidyverse #dataviz #ggplot2
#TidyTuesday week 36: US union wages
π: https://github.com/borstell/tidytuesday/tree/main/2023/2023-09-05
#RStats #tidyverse #ggplot2 #dataviz
#dataviz #ggplot2 #tidyverse #rstats #TidyTuesday
Here is my #viz for the #SWDchallenge β SEP 2023 | makeover magic
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The data comes from the book Storytelling with Data: Let's Practice! This #viz is about the actual vs. projected target of reaching 450 accounts.
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π: https://community.storytellingwithdata.com/challenges/sep-2023-makeover-magic/line-chart-actual-vs-projected
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π: https://github.com/poncest/SWDchallange/tree/main/2023/09_September
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#SWDchallange | #dataviz | #rstats | #ggplot2
#viz #swdchallenge #swdchallange #dataviz #rstats #ggplot2
π Elevate data presentations with elegant Lollipop Charts in R! π Compare, emphasize, and visualize outliers effortlessly. Dive into creating your own stunning charts using ggplot2. Unveil data stories that captivate!
#DataViz #LollipopCharts ππ #ggplot2
Post: https://www.spsanderson.com/steveondata/posts/2023-08-31/
#ggplot2 #lollipopcharts #dataviz
#Rstats question. Any ideas out there to automatically create alt text from ggplot objects? #accessibility #alt #ggplot2
#rstats #accessibility #alt #ggplot2
@geospacedman true. For me #tidyverse and #ggplot2 are synonym for #R, as I just use it for data wrangling and plotting.
π’ Exciting news! Learn to visualize categorical data in R with these engaging charts:
1οΈβ£ Barplots with ggplot2's geom_bar()
2οΈβ£ Grouped boxplots with base R and ggplot2
3οΈβ£ Mosaic plots
π Check out the guide here: https://www.spsanderson.com/steveondata/posts/2023-08-29/
π¬ Experiment with your own data and uncover valuable insights!
#ggplot2 #visualization #r #RStats #datavisualization
Learn how easy it is to make beeswarm and raincloud plots (more transparent alternatives to box plots) using {ggbeeswarm}, {ggdist} & {gghalves} in a new ALA Labs post by me & Shandiya Balasubramaniam
https://labs.ala.org.au/posts/2023-08-28_alternatives-to-box-plots/post.html
#rstats #dataviz #QuartoPub #austraits #ggplot2
#TidyTuesday week 35: Fair Use Index
π: https://github.com/borstell/tidytuesday/tree/main/2023/2023-08-29/
#dataviz #ggplot2 #tidyverse #TidyTuesday
"Graphic Design with #ggplot2": All material from this 2 day workshop can be found at https://rstudio-conf-2022.github.io/ggplot2-graphic-design/ #rstats #design
I demonstrated a few use cases for our grads (debugging a #ggplot2 error, asking #ChatGPT to list all the helper functions for the "select" function in the #tidyverse, translate Stata code to #rstats, etc).
But my absolute favorite example was when I prompted ChatGPT to write a song about data manipulation in the style of Taylor Swift. See results below...
#rstats #tidyverse #chatgpt #ggplot2
Here is my #viz for the #TidyTuesday challenge β W33. This one is spam emails.
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This week's data comes from the Rdatasets package.
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π: https://github.com/poncest/tidytuesday/tree/main/2023/Week_33
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#rstats | #r4ds | #tidyverse | #dataviz | #ggplot2
#viz #tidytuesday #rstats #r4ds #tidyverse #dataviz #ggplot2
#TidyTuesday | Week 33 | Spam Email
Subset of the Spam E-mail database included in the Rdatasets package
code: https://github.com/curatedmess/TidyTuesday/blob/main/2023/08152023/spam.R
#tidytuesday #rstats #dataviz #ggplot2