#TidyTuesday is an active hashtag on Bluesky. In the last 30 days, 15 people shared 43 posts with it — around 1 a day. Activity is up 14% versus the previous week, peaking on Aug 25 with 5 posts.

Posts with #TidyTuesday

Nicola Rennie

@nrennie.bsky.social

about 1 year ago

I've written a short blog post introducing "The Art of Visualization with ggplot2"! This book is all about the end-to-end process of creating charts with #ggplot2 📊 including data wrangling, sketching, and styling your plots! nrennie.rbind.io/blog/art…. #RStats #DataViz #TidyTuesday

nrennie.rbind.io

Introducing The Art of Visualization with ggplot2 – Nicola Rennie

I’ve written a book! This blog post gives a brief introduction to The Art of Visualization with ggplot2, a book of data visualization case studies showing the end-to-end process of building charts, st...

11 33 180

Nicola Rennie

@nrennie.bsky.social

over 1 year ago

I'm super happy to see that several of my data visualisation projects were long-listed at the 2024 Information is Beautiful Awards! 📊 #RStats #DataViz #ggplot2 #RSpatial #TidyTuesday

Horizon chart showing ratings of Power Rangers over time, with colours chosen to reflect the characters

Stream chart showing the use of different words in horror tale descriptions, with many relating to women and children.

gif showing the process of scrolling through a scrollytelling visualisation abou English monarchs

3x2 grid of abstract maps of Edinburgh and Glasgow showing elevation, streets, and buildings

8 7 163

Nicola Rennie

@nrennie.bsky.social

over 1 year ago

For #TidyTuesday this week, we're looking at data on terminations of NSF grants 📊 🎨 Using colour to highlight one category 📈 Transparency to highlight the important data ✍️ Annotations instead of a legend for transparency #RStats #ggplot2 #DataViz

Bar chart showing 651 NSF-funded research projects, with total terminated days in dark grey or red, completed days in light grey or red. Red highlights projects listed by Ted Cruz as "neo-Marxist class warfare propaganda".

4 88 150

Nicola Rennie

@nrennie.bsky.social

10 months ago

One of the things that has been on my to do list for a very long time, is building a gallery of all of the charts I've made across #TidyTuesday, #30DayChartChallenge, #30DayMapChallenge, and other miscellaneous projects 📊 And it's finally here! Link: nrennie.rbind.io/viz-gallery/ #DataViz #RStats

nrennie.rbind.io

Data Visualisation Gallery

Gallery of data visualisations created by Nicola Rennie.

6 21 128

Georgios Karamanis

@karaman.is

2 days ago

This week's #TidyTuesday is the Dead Sea Scrolls. An Euler diagram of the 28 canonical books in the collection, by manuscript language. 18 are Hebrew only, Leviticus is the only one in all three. Code: github.com/gkaramanis/t... #RStats #dataviz

Euler diagram titled "Dead Sea Scrolls: Biblical books by language", showing all 28 canonical books identified among the scrolls, placed by the primary language of the manuscripts that preserve them. Three overlapping rotated squares on a near-white background, Hebrew in pale sand, Greek in terracotta and Aramaic in muted teal. The Hebrew square is much the largest and holds 18 books on its own. Four books sit in the Hebrew and Greek overlap, four in the Hebrew and Aramaic overlap, and one, Leviticus, in the small region where all three meet. One book survives in Greek alone. No book is in Aramaic alone.

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Nicola Rennie

@nrennie.bsky.social

about 1 year ago

There was lots of data to play with for #TidyTuesday this week where we're looking at the power of different passports! ✈️ I decided to try out the idea of using small multiples and highlighting to untangle a spaghetti chart with lots of lines 📊 #RStats #DataViz #ggplot2

Chart showing how rankings of passports have changed over time, split by region with top one in each highlighted. European are ranked high, and UAE has had a dramatic rise.

8 16 107

Nicola Rennie

@nrennie.bsky.social

6 days ago

This week's #TidyTuesday data is from the Dead Sea Scrolls digital library 📖 I created an interactive Voronoi diagram showing the number of images of manuscripts found in different locations 📊 #DataViz #ggplot2 #RStats

1 5 21

Georgios Karamanis

@karaman.is

over 1 year ago

NSF grant cuts for this week's #TidyTuesday Code: github.com/gkaramanis/t... Map by @donnermaps.bsky.social of @the-downballot.com at the-db.co/maps #RStats #dataviz

A visualization consisting of two parts. The upper, larger part is a hex map of the United States, where each hexagon represents a congressional district. From the centre of many hexagons, a vertical spike extends upwards; the height of this spike is proportional to the amount of National Science Foundation (NSF) funding terminated in that district. Hexagons are colored blue for Democratic districts and red for Republican districts. For the ten districts with the highest amounts of terminated funding, a text label near the tip of the spike indicates the amount in millions of US dollars.

The lower, smaller part of the visualization is a horizontal bar chart. It shows three bars: one for Democratic districts (blue), one for Republican districts (red), and one for non-voting districts (light grey). The length of each bar represents the total sum of NSF funding terminated for districts of that party affiliation. Text labels on or near the bars indicate these total amounts in millions of US dollars.

The overall title of the visualization is "NSF grant terminations disproportionately affect Democratic districts". A subtitle provides further context, stating that as of the current date, a specific number of grants, totalling a specific amount in billions of US dollars, were cancelled, and that the data shows funding lost aggregated per congressional district by party.

1 35 87

We Are RLadies+

@weare.rladies.org

about 1 year ago

Are you like me and struggle to choose colors for your charts? I recently found the colorspace package, and it's a total game-changer. cran.r-project.org/web/packages... Load the package, run 'pal<-choose_palette()' and a GUI shows you color combos! Check out my example with #TidyTuesday data:

Positron IDE open showing R code and colorspace GUI

6 16 85

Nicola Rennie

@nrennie.bsky.social

over 1 year ago

Bringing a new meaning to the definition of donut chart for last week's #TidyTuesday data on The Simpsons! 🍩 Is there a name for a waffle-donut hybrid? 🧇 Donut positions extracted using {waffle} 📊 Donut images plotted using {ggpattern} 📷 Facet images with {ggtext} #RStats #DataViz #ggplot2

an infographic about The Simpsons, showing the average number of words spoken per episode by each character, represented by donuts (each donut equals ten words). Homer speaks the most, followed by Marge, Lisa, and Bart. Maggie, being a one-year-old, has no recorded spoken words

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Nicola Rennie

@nrennie.bsky.social

11 months ago

The making of this week's #TidyTuesday chart recorded with {camcorder} in #RStats 📹

3 9 78

Julia Silge

@juliasilge.com

11 months ago

There is a new monthly release of #Positron available, and it delivers fresh new features for the Data Explorer! In this screencast, I walk through how to interactively explore a recent #TidyTuesday dataset on literary prizes 📚📖🏆 using some of the Data Explorer newness. youtu.be/KOgQuWF0US4