Lmst

Today's artwork generated with #rstats and #ggplot2:

Freshwater ecoregions of Africa.

#ggplot2 adventures, an #rstats tale

A visualisation of Africa's freshwater ecoregions

I've managed to write a loop that produces 240 charts. All of them crap. #ggplot2 #rstats

Today's artwork generated with #rstats and #ggplot2:

Some highly skewed and hard to visualise data for this week's #TidyTuesday about Brazilian companies 🌎

Ended up with a joy plot / ridgeline plot to show the distribution of capital for different types of categories 📊

#RStats #DataViz #ggplot2

Joy plot showing distribution of declared capital for different categories of Brazilian companies. Little difference between company size categories. Some differences by owner qualification, publicly traded corporations are the highest for legal nature.

Recent @DSLC club meetings:

:rstats: The Art of Data Visualization with ggplot2: The TidyTuesday Cookbook: UK museums: highlighting line charts with gghighlight https://youtu.be/o3Z28KbvG70 #RStats #DataViz #ggplot2

From the @DSLC :rstats:chives:

:rstats: ISLR: Statistical Learning Part 2 https://youtu.be/T1C-YMdP2ZU #RStats

:rstats: Advanced R: Measuring performance https://youtu.be/d_pzz_AsoRQ #RStats

Support the Data Science Learning Community at https://patreon.com/DSLC

Today's artwork generated with #rstats and #ggplot2:

📊 #MakeoverMonday – 2026 W04 | Most Posted US Jobs by State
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🔗: https://stevenponce.netlify.app/data_visualizations/MakeoverMonday/2026/mm_2026_04.html
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#rstats | #DataFam | #dataviz | #ggplot2

Three-panel dashboard showing America's most in-demand jobs. The left panel displays "49 out of 50 states have Registered Nurse as #1." The right panel shows #2 job distribution: Retail Sales (31 states), Trucking (10 states, amber), Physician (6 states), Software (2 states, purple), and RN (1 state). Bottom panel compares Software vs. Trucking states across three metrics: prevalence (2 vs. 10 states), average wage ($125k vs. $51k), and total employment (82,260 vs. 346,870 workers). Purple and amber highlight the Software-Trucking divide; other categories are shown in gray.

📊 #TidyTuesday – 2026 W04 | Brazilian Companies
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🔗: https://stevenponce.netlify.app/data_visualizations/TidyTuesday/2026/tt_2026_04.html
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#rstats | #r4ds | #dataviz | #ggplot2

Dual-panel Lorenz curve visualization showing extreme corporate capital concentration in Brazil. The left panel displays a traditional Lorenz curve in which the red line hugs the bottom axis, indicating that 99% of companies hold just 0.8% of total capital, with a diagonal dashed line representing perfect equality. The right panel zooms in on the top 0.6% of companies, revealing that just 25 firms control 50% of all capital, and 139 firms control 80%. The Gini coefficient of 0.998 indicates near-total wealth capture among 141,332 registered Brazilian companies.

Today's artwork generated with #rstats and #ggplot2:

【シングルセルRNA-seq解析 #2】R言語入門：RNA-seq解析のためのデータ分析基礎（データフレーム・ggplot2）

https://www.emilyselect.com/%e3%80%90%e3%82%b7%e3%83%b3%e3%82%b0%e3%83%ab%e3%82%bb%e3%83%abrna-seq%e8%a7%a3%e6%9e%90-2%e3%80%91r%e8%a8%80%e8%aa%9e%e5%85%a5%e9%96%80%ef%bc%9arna-seq%e8%a7%a3%e6%9e%90%e3%81%ae%e3%81%9f%e3%82%81/?feed_id=4141&_unique_id=6975ee18054b0&Mastodon

#ggplot2 #LabCode #R初心者 #r言語 #データサイエンス #バイオインフォマティクス #プログラミング #研究に使えるプログラミング #R言語基礎・入門 #R言語基礎・入門 #ggplot2 #LabCode #R初心者 #r言語 #データサイエンス #バイオインフォマティクス #プログラミン...

Today's artwork generated with #rstats and #ggplot2:

Did this last week but never shared: a profile of Hunter Mountain's ski pistes. Should I do more? This was just a test of an idea. Might choose a mountain in Europe or Japan next time.

#ggplot2 adventures, an #rstats tale

A visualisation of Hunter Mountain's ski pistes

Freshwater ecoregions of South America.

But why didn't you do this in #rayshader?! Of course I did, but am still sorting out a few issues because rivers don't fall neatly into categories...

#ggplot2 adventures, an #rstats tale

A visualisation of South America's freshwater ecoregions

Today's artwork generated with #rstats and #ggplot2:

Recent @DSLC club meetings:

:rstats: The Art of Data Visualization with ggplot2: The TidyTuesday Cookbook: Programming languages: dumbbell charts with ggplot2 https://youtu.be/jXwdBB2qCnk #RStats #DataViz #ggplot2

From the @DSLC :rstats:chives:

:rstats: The Art of Data Visualization with ggplot2: The TidyTuesday Cookbook: Introduction https://youtu.be/TKD_i8orDwY #RStats #DataViz #ggplot2 #dataVisualization

Support the Data Science Learning Community at https://patreon.com/DSLC

This week's #TidyTuesday data is about NASA's Astronomy Picture of the Day 🪐

I decided to use the {eyedroppeR} package to pick out some of the colours found in the images and create a grid of treemaps 📊 Space might appear dark to us but it's actually full of bright colours! 🎨

Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-01-20

#RStats #DataViz #ggplot2

A grid of treemaps with rows being months of the year and columns days of the month, giving a chart for each day of 2025. Each treemap shows the colours found in NASA's astronomy picture of the day, and there are quite a lot of bright colours shown.

Today's artwork generated with #rstats and #ggplot2:

#ggplot2

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