Thank you!
01.08.2025 03:08 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0@rajodm.bsky.social
Thank you!
01.08.2025 03:08 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0Horizontal bar chart showing top 10 Netflix limited series by views, with bars colored by release year. Adolescence released earlier this year leads with 144.8 million views. 4 contents were released in 2024, 3 in 2023, and 3 this year (2025).
#TidyTuesday week 30
#Netflix limited series audience engagement.
- Data: Netflix engagement report
- code: github.com/rajodm/TidyT...
#dataviz #rstats #ggplot2
Looking for feedback on my Quarto extensions listing! ๐
How's the navigation and browsing experience at m.canouil.dev/quarto-exten...?
Your feedbacks: github.com/mcanouil/qua... (or here)
I'd appreciate it if you could share/repost to help me reach more users!
#Quarto #QuartoExtension #QuartoPub
This one:
bsky.app/profile/did:...
Thank you!
16.07.2025 16:20 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0๐ข Calling all #rstats #pydata #julialang #datascience folks!
This year, a Data Science Learning Community (DSLC.io) goal is to crowdsource the curation of #TidyTuesday datasets to allow the DLSC board members and project maintainer @jonthegeek.com, more time to better the community in other ways 1/
Thanks! It was a bit challenging at first since I'd never used {cowplot} before. Had to figure out that I need to re-draw the plot and use |> instead of + to combine them.
27.06.2025 17:25 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0Bivariate choropleth map of Africa showing measles incidence rates and laboratory confirmation rates by country in 2024. Countries are colored using a blue-to-purple matrix where blue indicates low incidence with high lab confirmation (like Botswana), red indicates high incidence with low lab confirmation (like Liberia), and purple indicates high incidence with high lab confirmation (like Somalia). The map shows significant variation in both disease burden and diagnostic capacity across African countries, with 89,765 total measles cases reported.
#TidyTuesday week 25
๐ Exploring #measles incidence and laboratory confirmation rates in Africa (2024).
Code: github.com/rajodm/TidyT...
#dataviz #rstats #ggplot2
This tool from the r-graph-gallery is a really helpful one
r-graph-gallery.com/color-palett...
Treemap visualization of Project Gutenberg Collections showing book counts by collection and language. Fiction is the largest section with 31,736 books, followed by other (10,996 books), History (9,398 books), Literature (7,180), and smaller sections for travel & geography, paranormal, science, poetry, politics and Teaching & education. Each section shows language breakdowns with English dominating most categories.
#TidyTuesday week 22
Data: Project Gutenberg
Code: github.com/rajodm/TidyT...
#rstats #dataviz #ggplot2
I missed RStudioโs Tomorrow Night Bright ๐ theme in Positron but not anymore! Thanks to Open VSX, itโs now an extension. Hereโs how:
๐ Blog: ivelasq.rbind.io/blog/positro...
โ๏ธ Positron Extension: tinyurl.com/358pfa47
๐ฉ๐ปโ๐ป VS Code Extension: tinyurl.com/yundmctf
#RStats #Python #PositronIDE #VSCode
Visualisation of Mount Vesuvius seismic events from 2011 to 2024. The top chart displays the earthquake epicenter depths (0 to about 8 kilometers), the map at the bottom left shows geographic distribution around the volcano and the chart at the bottom right, a cross-section view from the center. Colors indicate the epicenter depth and circle sizes represent duration magnitude (a measure of the energy released).
#TidyTuesday week 19
๐๐Data: Seismic events at Mount Vesuvius.
#dataviz #rstats #ggplot2
Glad you like it! Looking forward to seeing your chart!
06.05.2025 07:43 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0A waffle chart showing 1,041 NSF research grants terminated since April 18, 2025, where each single square represents a project. STEM Education and Social Sciences were most affected, with colors indicating remaining time before projects' expected completion date. Many long term projects were terminated with more than 2 years before the (expected) completion date.
#TidyTuesday week 18.
Data: NSF Grant Terminations Under the Trump Administration.
Code: github.com/rajodm/TidyT...
#dataviz #rstats #ggplot2
A column chart which shows the number of posts shared for each prompt of the 30DayChartChallenge. The columns are coloured by the category the prompt belongs to. The category with the most contributions is Comparisons (days 1 to 6) with day 1 (Fractions) having the most contributions with 76. The number of posts decreased for the following categories. Day 11 is a peak with the prompt โBirdsโ (40 posts). Note: The prompt is determined by the tagged day in the post text in English, Spanish, French and German. If there is no match in the text, the number of the day in the month is used (UTC).
We're happy to see so many charts shared on Bluesky. โฅ๏ธ
So, we prepared a chart, too. It shows the number of contributions for each prompt on Bluesky this year.
#30DayChartChallenge
You might want to check out this extension github.com/kv9898/posit...
29.04.2025 14:36 โ ๐ 2 ๐ 0 ๐ฌ 1 ๐ 0A beeswarm plot showing Gender Parity Index for math proficiency across regions. The chart compares primary education (left) and lower secondary education (right), with blue shaded areas indicating gender parity (0.97-1.03). Individual country data points appear as gray dots, with red dots showing regional medians and horizontal bars representing interquartile ranges. Values below 1.0 indicate advantage to boys, while values above 1.0 indicate advantage to girls
Late #30DayChartChallenge #Day28,
Theme: Uncertainties - Inclusion
๐๐ซ Gender disparities in Math proficiency across primary and lower secondary.
#dataviz #rstats #ggplot2
Sankey diagram showing taxonomic relationships between 32 snake families and their risk profiles to humans. Categories include venomous snakes (with danger levels from extremely dangerous to harmless to human), non-venomous constrictors (with similar danger ratings based on their adult size), snakes with uncertain toxicity, and completely (or not) harmless non-venomous species.
#30DayChartChallenge #Day25:
๐ Uncertainties - risk
๐๐โ ๏ธ Snakes: dangerousness and toxicity.
Are all snakes dangerous? Which snake families pose the greatest risk to humans? Are venomous snakes the only ones to fear?
#dataviz #rstats #ggplot2
Line graph showing median prevalence of insufficient physical activity among adults (18+) from 2000-2022, divided into four panels by income group (high, upper middle, lower middle, and low). In all income groups, whomen consistently show higher rates of insufficient physical activity than men. The highest inactivity rates occur in high-income countries, while the lowest rates appear in low-income countries.
#30DayChartChallenge #Day24
๐ Timeseries - W.H.O. (data day)
๐๐คธPhysical activity shows clear patterns: women are consistently less active than men across all income levels, and wealthier countries display higher inactivity rates than lower-income regions.
#dataviz #rstats #ggplot2
A line graph showing global fossil fuel consumption trends (1965-2023) for coal, gas, and oil across high-income, upper-middle income, and lower-middle income countries. Upper-middle income countries show dramatic coal usage increases, while high-income nations lead in oil and gas consumption.
#Day21 of #30DayChartChallenge, theme: Timeseries - Fossils.
๐ Fossil fuel consumption patterns across income levels from 1965 to 2023.
#dataviz #rstats #ggplot2
A plot showing Palmer Penguins distribution by species and island, color-coded by their average body mass. Gentoo penguins (123) appear only on Biscoe Island and have the highest average body mass, Chinstrap penguins (68) appear only on Dream Island, and Adelie penguins are distributed across Biscoe (44), Dream (56), and Torgersen (51) islands.
#TidyTuesday week 15.
Data: Palmer Penguins (Base R).
Code: github.com/rajodm/TidyT...
#dataviz #rstats #ggplot2
Area chart showing Arctic and Antarctic sea ice changes from 1928-2014 compared to 1981-2010 baseline. Blue areas indicate ice gain, red areas show ice loss. The chart is split into two facets, with increasing red zones demonstrating progressive sea ice area decline.
#30DayChartChallenge #Day16
๐โ๏ธ The breaking bond between our climate systems and the sea ice area for today's theme: Relationships - Negative.
This chart shows ice area gain (blue) and loss (red) from 1978 to 2024 compared to the 1981-2010 baseline.
#dataviz #rstats #ggplot2
A chord diagram titled Pokรฉmon type combination, showing the connection between primary and secondary types of 526 Pokรฉmon from genaration 1 to 9.
#30DayChartChallenge #Day15, Relationships - Complicated.
๐๐ฎ A chord diagram showing all Pokรฉmon type combinations from gen. I to gen. IX! ๐ฎโจ Each connection represents dual-type Pokรฉmon.
#dataviz #rstats #pokรฉmon
Updated version
12.04.2025 04:42 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0Chart titled 'Arctic and Antarctic Sea Ice Extent (1978-2024)' showing two horizontal stripe patterns. The top section (Arctic/Northern) transitions from predominantly blue stripes on the left (1978) to red stripes on the right (2024), indicating declining sea ice extent over time. The bottom section (Antarctic/Southern) shows a more varied pattern throughout the period with no clear trend. Blue represents above-average sea ice extent, and red represents below-average compared to 1981-2010 baselines.
46 years of Arctic and Antarctic sea ice evolution for #30DayChartChallenge #Day11.
Prompt: Distributions - Stripes.
There's a clear decline of sea ice extent in the northern region, while the Antarctic displays no consistent trends.
#dataviz #rstats #ggplot2
bsky.app/profile/rajo...
11.04.2025 13:04 โ ๐ 3 ๐ 0 ๐ฌ 0 ๐ 0Thanks, you can find the code here github.com/rajodm/30Day...
10.04.2025 18:12 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0Ridge line visualization showing the monthly distribution of sea ice extent in the Arctic and Antarctic regions, revealing opposite seasonal patterns between northern and southern hemispheres.
#Day10 of #30DayChartChallenge:
Distributions - Multi-modal!
๐โ๏ธ A ridge line showing the seasonal distribution of sea ice extent, with opposite patterns between Arctic and Antarctic regions.
#dataviz #rstats #ggplot2
Histogram showing US distribution of appropriate sepsis care across 52 states, with four smaller histograms below showing compliance with 3-hour and 6-hour care bundles for severe sepsis and septic shock. Most states achieve 50-75% compliance rates.
An analysis of how US healthcare facilities are performing on critical sepsis care guidelines for #30DayChartChallenge #Day8: Distributions - Histogram & #TidyTuesday week 14.
Data: Timely and Effective Care by US state
Code: github.com/rajodm/TidyT...
#dataviz #rstats #ggplot2