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Rajo

@rajodm.bsky.social

67 Followers  |  118 Following  |  53 Posts  |  Joined: 17.11.2024  |  2.041

Latest posts by rajodm.bsky.social on Bluesky

Thank you!

01.08.2025 03:08 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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).

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).

#TidyTuesday week 30
#Netflix limited series audience engagement.

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

#dataviz #rstats #ggplot2

29.07.2025 17:23 โ€” ๐Ÿ‘ 7    ๐Ÿ” 2    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

Looking for feedback on my Quarto extensions listing! ๐Ÿ“

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

29.07.2025 12:52 โ€” ๐Ÿ‘ 8    ๐Ÿ” 8    ๐Ÿ’ฌ 2    ๐Ÿ“Œ 0

This one:
bsky.app/profile/did:...

28.07.2025 07:16 โ€” ๐Ÿ‘ 5    ๐Ÿ” 2    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

Thank you!

16.07.2025 16:20 โ€” ๐Ÿ‘ 2    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
dslc.io

๐Ÿ“ข 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/

30.06.2025 00:09 โ€” ๐Ÿ‘ 15    ๐Ÿ” 5    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 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€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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.

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.

#TidyTuesday week 25
๐Ÿ“Š Exploring #measles incidence and laboratory confirmation rates in Africa (2024).
Code: github.com/rajodm/TidyT...

#dataviz #rstats #ggplot2

26.06.2025 10:07 โ€” ๐Ÿ‘ 29    ๐Ÿ” 4    ๐Ÿ’ฌ 2    ๐Ÿ“Œ 0
Preview
R Color Palette Finder The ultimate tool for finding the perfect color palette for data visualization with R and paletteer. Explore over 2000 palettes, see them in action on various charts, simulate color blindness, and exp...

This tool from the r-graph-gallery is a really helpful one
r-graph-gallery.com/color-palett...

25.06.2025 06:40 โ€” ๐Ÿ‘ 2    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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.

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

03.06.2025 18:00 โ€” ๐Ÿ‘ 26    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 1
Preview
Porting my favorite RStudio color theme to Positron โ€“ %>% dreams Tomorrow night is always bright, regardless of IDE.

I missed RStudioโ€™s Tomorrow Night Bright ๐ŸŒ™ theme in Positron but not anymore! Thanks to Open VSX, itโ€™s now an extension. Hereโ€™s how:

๐Ÿ“š Blog: ivelasq.rbind.io/blog/positro...
โš›๏ธ Positron Extension: tinyurl.com/358pfa47
๐Ÿ‘ฉ๐Ÿปโ€๐Ÿ’ป VS Code Extension: tinyurl.com/yundmctf

#RStats #Python #PositronIDE #VSCode

27.05.2025 13:31 โ€” ๐Ÿ‘ 27    ๐Ÿ” 5    ๐Ÿ’ฌ 2    ๐Ÿ“Œ 1
Preview
TidyTuesday/2025/w19 at main ยท rajodm/TidyTuesday My contributions for the #TidyTuesday challenge . Contribute to rajodm/TidyTuesday development by creating an account on GitHub.

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

14.05.2025 12:27 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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).

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
๐Ÿ“Š๐ŸŒ‹Data: Seismic events at Mount Vesuvius.

#dataviz #rstats #ggplot2

14.05.2025 12:25 โ€” ๐Ÿ‘ 9    ๐Ÿ” 3    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

Glad you like it! Looking forward to seeing your chart!

06.05.2025 07:43 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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.

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.

#TidyTuesday week 18.
Data: NSF Grant Terminations Under the Trump Administration.

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

#dataviz #rstats #ggplot2

06.05.2025 03:03 โ€” ๐Ÿ‘ 60    ๐Ÿ” 38    ๐Ÿ’ฌ 3    ๐Ÿ“Œ 1
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 โ€œBirdsโ€ (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).

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 โ€œBirdsโ€ (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. โ™ฅ๏ธ

So, we prepared a chart, too. It shows the number of contributions for each prompt on Bluesky this year.

#30DayChartChallenge

01.05.2025 19:15 โ€” ๐Ÿ‘ 44    ๐Ÿ” 11    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
Preview
GitHub - kv9898/positron-r-package-manager: Manage your R extensions from within Positron โ€” the RStudio-style package manager for the modern data science IDE. Manage your R extensions from within Positron โ€” the RStudio-style package manager for the modern data science IDE. - kv9898/positron-r-package-manager

You might want to check out this extension github.com/kv9898/posit...

29.04.2025 14:36 โ€” ๐Ÿ‘ 2    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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

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

Late #30DayChartChallenge #Day28,
Theme: Uncertainties - Inclusion

๐Ÿ“Š๐Ÿซ Gender disparities in Math proficiency across primary and lower secondary.

#dataviz #rstats #ggplot2

29.04.2025 09:29 โ€” ๐Ÿ‘ 9    ๐Ÿ” 2    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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.

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:
๐Ÿ‘‰ Uncertainties - risk
๐Ÿ“Š๐Ÿโš ๏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

25.04.2025 04:00 โ€” ๐Ÿ‘ 13    ๐Ÿ” 3    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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.

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
๐Ÿ‘‰ Timeseries - W.H.O. (data day)

๐Ÿ“Š๐ŸคธPhysical 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

24.04.2025 08:20 โ€” ๐Ÿ‘ 7    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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.

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.

๐Ÿ“Š Fossil fuel consumption patterns across income levels from 1965 to 2023.

#dataviz #rstats #ggplot2

21.04.2025 07:12 โ€” ๐Ÿ‘ 9    ๐Ÿ” 2    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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.

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

19.04.2025 22:38 โ€” ๐Ÿ‘ 9    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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.

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
๐Ÿ“Šโ„๏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

16.04.2025 08:27 โ€” ๐Ÿ‘ 8    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
A chord diagram titled Pokรฉmon type combination, showing the connection between primary and secondary types of 526 Pokรฉmon from genaration 1 to 9.

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.

๐Ÿ“Š๐ŸŽฎ A chord diagram showing all Pokรฉmon type combinations from gen. I to gen. IX! ๐ŸŽฎโœจ Each connection represents dual-type Pokรฉmon.
#dataviz #rstats #pokรฉmon

15.04.2025 02:46 โ€” ๐Ÿ‘ 22    ๐Ÿ” 2    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Post image

Updated version

12.04.2025 04:42 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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.

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.

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

11.04.2025 16:53 โ€” ๐Ÿ‘ 10    ๐Ÿ” 3    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

bsky.app/profile/rajo...

11.04.2025 13:04 โ€” ๐Ÿ‘ 3    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Preview
30DayChartChallenge/2025/Day10 at main ยท rajodm/30DayChartChallenge A repository for my contributions to the #30DayChartChallenge - rajodm/30DayChartChallenge

Thanks, you can find the code here github.com/rajodm/30Day...

10.04.2025 18:12 โ€” ๐Ÿ‘ 2    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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.

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.

#Day10 of #30DayChartChallenge:
Distributions - Multi-modal!

๐Ÿ“Šโ„๏ธ A ridge line showing the seasonal distribution of sea ice extent, with opposite patterns between Arctic and Antarctic regions.

#dataviz #rstats #ggplot2

10.04.2025 16:51 โ€” ๐Ÿ‘ 34    ๐Ÿ” 4    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
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.

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

08.04.2025 09:59 โ€” ๐Ÿ‘ 15    ๐Ÿ” 2    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

@rajodm is following 20 prominent accounts