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#ggplot
Latest posts tagged with #ggplot on Bluesky
Posts tagged #ggplot
Line chart of electoral bond donations by party from FY2018 to FY2024. BJP is highlighted in saffron while other parties are faded. BJP receives the highest funding every year with a major spike in FY2019 during the general election. Funding rises around election periods marked by vertical lines. A sharp spike for YSRCP appears in FY2020 due to Andhra Pradesh elections and timing of bond redemption. FY2024 shows only BJP data because other party data is incomplete after the scheme was struck down. Overall, funding is concentrated toward BJP and closely follows election cycles.
#Day6 of the #30DayChartChallenge: Reporters Without Borders(Data Day)
Indian election funding rises with elections. The patterns speak for themselves.
Built with #ggplot
#DataViz #india #election #funding
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Canonical 'tiger.svg' plotted in #RStats ggplot.
#ggplot raw svg data
Stroke is coloured by the shape index within the SVG.
#RStats
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Mosaic chart showing population age structure (0–14, 15–64, 65+) for the top 10 economies in 2024. India and China have the largest populations and relatively younger age profiles, with over two-thirds in the working-age group. The United States shows a more balanced distribution, while Japan and Germany have the oldest populations, with a high share aged 65 and above. Each bar represents 100% of a country’s population, with total population in millions labeled alongside.
#Day3 of the #30DayChartChallenge: Mosaic
Fixing the mosaic chart, as the earlier version was effectively a stacked bar chart.
👥 Population Age Structure — Top 10 Economies
Built with #ggplot
#DataViz #population
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Horizontal stacked bar chart showing population age structure (0–14, 15–64, 65+) for the top 10 economies in 2024. India and China have the largest populations and relatively younger age profiles, with over two-thirds in the working-age group. The United States shows a more balanced distribution, while Japan and Germany have the oldest populations, with a high share aged 65 and above. Each bar represents 100% of a country’s population, with total population in millions labeled alongside.
#Day3 of the #30DayChartChallenge: Mosaic
Catching up over the weekend!
👥 Population Age Structure — Top 10 Economies
Built with #ggplot
#DataViz #population
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I prepared another submission for #Day4 of #30DayChartChallenge showing the increase in the brent oil prices of March compared with the same period of last year.
#DataVisualization #DataScience #Rstats #ggplot
@30daychartchall.bsky.social
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Submission for #Day4 of #30DayChartChallenge shows the percentage of people whoe believe AI will be helpful in the next 20 years in G7 countries.
#DataScience #DataVisualization #Rstats #ggplot #AI
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For the #Day3 of #30DayChartChallenge I studied "How Americans worried about automation at work? "Their concern decreases with age.
#DataVisualization #DataScience #Rstats #ggplot #AI
@30daychartchall.bsky.social
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For the #Day2 of #30DayChartChallenge, I studied the training computation across AI systems. Language ranks the highest while Games is ranks lowest.
@30daychartchall.bsky.social
#DataSicence #DataVisualization #Rstats #ggplot
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A stacked bar chart titled “Gender Pay Gaps in Australia” showing that of 1,105 occupations, only 7% pay women more than men. The single vertical bar is mostly dark blue (men earn more than women) with a small red section at the top (women earn more than men). The y-axis is labeled “Number of occupations” and ranges up to about 1,250. The red portion represents a small minority compared to the large blue majority. A legend on the right distinguishes “Women > Men” (red) and “Men > Women” (dark blue). A footer notes “TidyTuesday 2018 Week 4 | Data from data.gov.au.
This year for the #30DayChartChallenge I am going to pick a #TidyTuesday dataset at random and use it to make a chart with #ggplot and then see if I can reproduce it with #tidyplots.
Day 1: Part-to-whole, Australian Salary data
year <- 2018
week <- 4
jenrichmond.github.io/charts26/202...
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For #tidytuesday 2026-03-17 looking at Norwegian salmon mortality, there seems to be a clear temporal pattern when excess deaths occur for each species.
Cheeky title inspiration from the legendary @alex4salmon.bsky.social 🙂
#rstats #ggplot #dataviz
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Bear with me as I go through a backlog of #tidytuesday after being on vacation.
2026-03-10 - probability phrases
#rstats #ggplot #dataviz
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3D ggplot of parabolic great circle trajectories (i.e. ballistic-ish paths) on a non-linear Robinson projection: how do we ensure the 3D data is consistent with the underlying ggplot? Simple: we extract the coordinate transformation from the ggplot object itself!
#RStats #rayshader #ggplot
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A bit late on #tidytuesday. Looking at week 2026-03-03, it seems female Hermann's tortoises are healthier on the mainland compared to the beach and pleateau regions.
#rstats #dataviz #ggplot
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dear #Rstats #dataviz and #ggplot ninja, dear @coulmont.bsky.social , here is the next challenge
I want a ggspiralbars
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The canvas() function from the ggview R package is very useful for previewing/tweaking a ggplot into publication-ready format: it renders a plot "as it would appear if saved to a file with the specified dimensions".
cran.r-project.org/web/packages...
#RStats #ggplot #ggview
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I made an animated map of ship movements in the Straights of Hormuz using data from marinetraffic.com.
Ship track frames rendered using #ggplot, base map created using #gdal, video editing using #ffmpeg, video player written in #svelte.
🎁 www.zeit.de/wirtschaft/2...
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#statstab #494 {ggsurvfit}
Thoughts: "eases the creation of time-to-event (aka survival) summary figures with ggplot2"
#hazard #survival #ggplot #dataviz
www.danieldsjoberg.com/ggsurvfit/in...
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#rstats Here's a useful guide to creating publication-ready #ggplot figures to journal specifications, which is often quite fiddly.
jaquent.github.io/2026/02/crea...
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#DuBoisChallenge started last week with the maps theme. A bit late submission to the first week is here. Code: github.com/yaziciceyda/...
#Rstats #ggplot #DataViz #DataScience
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#tidytuesday 2025-02-10 looking at the 2026 Winter Olympics schedule. Shown below are the concurrent Olympic events binned by hour.
#RStats #ggplot #ggplot2 #dataviz
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Mount Cameroon Map
Check out this data visual displaying #MountCameroon, The style of this data visual was inspired by #JoyDivision #inkandatlas #iandaprints #joyplots #rstudio #dataart #datavis #datavisualization #mapart #cartography #Rstudio #ggplot #topography
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A hexagon R package logo, with the package name “whistledown” in a calligraphy-style font. A silhouette of a quill representing Lady Whistledown’s letters, and three bees for the Bridgerton family crest.
Dearest Gentle Reader,
I’m happy to announce the release of my new R package, “whistledown”, with color palettes from the hit show #Bridgerton!
#RStats #ggplot
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Mount Kosciuszko
Check out this data visual displaying #MountKosciuszko.The style of this data visual was inspired by #JoyDivision #inkandatlas #iandaprints #joyplots #rstudio #dataart #datavis #datavisualization #mapart #cartography #Rstudio #ggplot #topography
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📈 A while back I did promise to put a post together how I generate publication-ready figures. Before I am off to #CNY2026, I finally found the time. May this be useful to some...
Also I am curious to hear what other tricks are out there.
jaquent.github.io/2026/02/crea...
#rstats #ggplot #dataviz
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For #tidytuesday week 2026-02-03 looking at an edible plants dataset, I was curious about relationship between sun and water requirements; I thought the more sun, the more water. However most edible plants like a lot of sun, but only a moderate amount of water.
#RStats #ggplot2 #ggplot #dataviz
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