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rajodm.bsky.social
Rajo
@rajodm.bsky.social
96 followers 150 following 72 posts
#rstats | #dataviz
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rajodm.bsky.social
Re-up because of an error in the legend 😅.

Late entry for Day 10 of the #30DayMapChallenge - Air.
Mapping average wind speed from November 5, 2025.

Code: github.com/rajodm/30Day...

#dataviz #rstats #ggplot2
World map showing average wind speed from November 5, 2025, with directional lines (arrows) in blue gradients. Wind speeds ranging from less than 5 m/s (darker blue) to around 20 m/s (lighter).
November 12, 2025 at 7:00 AM
rajodm.bsky.social
3D Tanaka contour map of Scotland with #rayshader for Day 6 of the #30DayMapChallenge - Dimensions.

Code: github.com/rajodm/30Day...

Thanks @milos-makes-maps.bsky.social for the helpful tutorial!

#dataviz #rstats #ggplot2
A 3D relief map of Scotland using Tanaka contours, with elevation shown in warm colors ranging from green in the lowlands, through yellow in mid-elevations, to deep browns in the Scottish Highlands.
November 7, 2025 at 10:40 AM
rajodm.bsky.social
Here we go, #30daymapchallenge Day 1: points.
Health facilities across Sub-Saharan Africa.
Code: github.com/rajodm/30Day...

#dataviz #rstats
Map of Sub-Saharan Africa showing location and type of 96,395 health facilities from 2019. Each facility is represented by a colored dot: dark pink dots are maternal and child health centers, light pink dots are referral hospitals, purple dots are district hospitals, green dots are other hospitals, and light blue dots are primary care facilities (most numerous).
November 1, 2025 at 3:26 AM
rajodm.bsky.social
#TidyTuesday week 42

Had some fun experimenting with the {gt} package for this week data from the UK Met Office on historical weather and climate.

Code: github.com/rajodm/TidyT...

#dataviz #rstats #ggplot2
A table summarizing five UK climate zones identified from historical Met Office data (1981–2010). Clusters were derived using k-means analysis based on temperature, rainfall, sunshine, and number of air frost days variables. Each row represents a cluster: the first column shows station locations, the second lists the number of stations, and the remaining six columns present key weather characteristics.
October 23, 2025 at 7:06 PM
rajodm.bsky.social
#TidyTuesday week 37
Data: allrecipes.com, {tastyR} package
Code: github.com/rajodm/TidyT...

#dataviz #rstats #ggplot2
Alluvial plot showing monthly recipe publications on allrecipes.com by cuisine origin in 2024. The chart shows steady growth throughout the year, with a dramatic spike in November (313 recipes, 42% of yearly total). 'Other' cuisines dominate with 526 recipes, followed by French (40), Soul Food (31), Indian (31), German (31), Filipino (30), Jewish (29), and Cajun and Creole (29).
September 19, 2025 at 9:22 PM
rajodm.bsky.social
#TidyTuesday week 36
Data: Henley Passport Index

Code: github.com/rajodm/TidyT...

#dataviz #rstats #ggplot2
A scatter plot showing passport strength by world region, with visa-free access count on the x-axis and seven regions (Africa, Americas, Asia, Caribbean, Europe, Middle East, Oceania) on the y-axis. Each country is represented by a circular flag icon. Vertical lines mark the median global mobility at 70 countries and the threshold for highest global mobility at 172 countries. European countries cluster toward the right with highest access, while African, Asian and Middle Eastern countries concentrate on the left with lower access. Caribbean and American countries show wide variation across the mobility spectrum.
September 11, 2025 at 7:21 PM
rajodm.bsky.social
#TidyTuesday week 33
Data: Scottish Munros

Code: github.com/rajodm/TidyT...

#dataviz #rstats #ggplot2
Topographic map of Scotland showing the locations of its three highest peaks: Ben Nevis (1344.53m), Ben Macdui (1309m), and Braeriach (1296m), with elevation represented by color gradients from light blue to dark brown.
August 23, 2025 at 7:08 PM
rajodm.bsky.social
With {paletteer} you can filter palettes by exact length needed. It returns the original package name, palette name, and length for each option.
August 14, 2025 at 7:28 PM
rajodm.bsky.social
#TidyTuesday week 32
🌪️Extreme weather events attribution studies
Code: github.com/rajodm/TidyT...

#dataviz #rstats #ggplot2
Sankey diagram showing the flow of extreme weather attribution studies from geographic regions through event types to climate change impact classifications. The largest flows show Europe and East & Southeast Asia predominantly studying heat events and rain/flooding. Most studies found that climate change made events more severe or more likely to occur. Smaller portions found no discernible human influence, insufficient data, or that events became less severe or likely (mainly for cold, snow, ice, rain and flooding).
August 13, 2025 at 10:24 PM
rajodm.bsky.social
#TidyTuesday week 30
#Netflix limited series audience engagement.

- Data: Netflix engagement report
- code: github.com/rajodm/TidyT...

#dataviz #rstats #ggplot2
Horizontal 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).
July 29, 2025 at 5:23 PM
rajodm.bsky.social
#TidyTuesday week 25
📊 Exploring #measles incidence and laboratory confirmation rates in Africa (2024).
Code: github.com/rajodm/TidyT...

#dataviz #rstats #ggplot2
Bivariate 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.
June 26, 2025 at 10:07 AM
rajodm.bsky.social
#TidyTuesday week 22
Data: Project Gutenberg

Code: github.com/rajodm/TidyT...

#rstats #dataviz #ggplot2
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.
June 3, 2025 at 6:00 PM
rajodm.bsky.social
#TidyTuesday week 19
📊🌋Data: Seismic events at Mount Vesuvius.

#dataviz #rstats #ggplot2
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).
May 14, 2025 at 12:25 PM
rajodm.bsky.social
#TidyTuesday week 18.
Data: NSF Grant Terminations Under the Trump Administration.

Code: github.com/rajodm/TidyT...

#dataviz #rstats #ggplot2
A 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.
May 6, 2025 at 3:03 AM
rajodm.bsky.social
Late #30DayChartChallenge #Day28,
Theme: Uncertainties - Inclusion

📊🏫 Gender disparities in Math proficiency across primary and lower secondary.

#dataviz #rstats #ggplot2
A 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
April 29, 2025 at 9:29 AM
rajodm.bsky.social
#30DayChartChallenge #Day25:
👉 Uncertainties - risk
📊🐍⚠️ 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
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.
April 25, 2025 at 4:00 AM
rajodm.bsky.social
#30DayChartChallenge #Day24
👉 Timeseries - W.H.O. (data day)

📊🤸Physical 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
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.
April 24, 2025 at 8:20 AM
rajodm.bsky.social
#Day21 of #30DayChartChallenge, theme: Timeseries - Fossils.

📊 Fossil fuel consumption patterns across income levels from 1965 to 2023.

#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.
April 21, 2025 at 7:12 AM
rajodm.bsky.social
#TidyTuesday week 15.
Data: Palmer Penguins (Base R).
Code: github.com/rajodm/TidyT...

#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.
April 19, 2025 at 10:38 PM
rajodm.bsky.social
#30DayChartChallenge #Day16
📊❄️ 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
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.
April 16, 2025 at 8:27 AM
rajodm.bsky.social
#30DayChartChallenge #Day15, Relationships - Complicated.

📊🎮 A chord diagram showing all Pokémon type combinations from gen. I to gen. IX! 🎮✨ Each connection represents dual-type Pokémon.
#dataviz #rstats #pokémon
A chord diagram titled Pokémon type combination, showing the connection between primary and secondary types of 526 Pokémon from genaration 1 to 9.
April 15, 2025 at 2:46 AM
rajodm.bsky.social
Updated version
April 12, 2025 at 4:42 AM
rajodm.bsky.social
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
Chart 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.
April 11, 2025 at 4:53 PM
rajodm.bsky.social
#Day10 of #30DayChartChallenge:
Distributions - Multi-modal!

📊❄️ A ridge line showing the seasonal distribution of sea ice extent, with opposite patterns between Arctic and Antarctic regions.

#dataviz #rstats #ggplot2
Ridge 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.
April 10, 2025 at 4:52 PM
rajodm.bsky.social
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
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.
April 8, 2025 at 10:00 AM