A place to share and discuss visual representations of data: Graphs, charts, maps, etc.
DataIsBeautiful is for visualizations that effectively convey information. Aesthetics are an important part of information visualization, but pretty pictures are not the sole aim of this subreddit.
A place to share and discuss visual representations of data: Graphs, charts, maps, etc.
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A post must be (or contain) a qualifying data visualization.
Directly link to the original source article of the visualization
Original source article doesn't mean the original source image. Link to the full page of the source article as a link-type submission.
If you made the visualization yourself, tag it as [OC]
[OC] posts must state the data source(s) and tool(s) used in the first top-level comment on their submission.
DO NOT claim "[OC]" for diagrams that are not yours.
All diagrams must have at least one computer generated element.
No reposts of popular
The XmR chart, made in #LabPlot [2.12dev], of the count of #Nobel Prizes in #Physics awarded in the years 1900-2024.
A single point falling outside the computed control limits should be interpreted as an indication of an assignable cause exerting a dominant effect on the process.
In the plot, the size of the circle is the number of refugees.
Germany is really doing an amazing job, y'all should be proud.
Compared to Chile, the US has 15x the population and 5x the wealth per capita but hosts fewer refugees. I certainly don't have the full picture but its not a good look.
This tool live tracks the progress of the various campaigns promises that were part of the Heritage Foundation’s Project 2025 manifesto, which supported Trump during his last campaign.
In the UN General Assembly, do some countries consistently vote the same way?
This plot lays out patterns of similarity in voting behaviour in the decade starting in January 2015. Countries that are close together in space on the plot tend to be similar in their voting.
Clearly the countries are divided and united by certain political themes, but the analysis is blind to these: all it sees is the votes themselves, not the topics voted upon.
Nevertheless, it has picked out a cluster of European nations in the top centre, joined by Ukraine and, more loosely, by Japan, the United Kingdom, New Zealand and Australia. The United States and Israel are a pair of outliers, voting almost identically to one another and often very differently from the rest of the world.
The technique used is logistic PCA, a decomposition method for use with binary data. Data is from the UN digital library. Visualisation done in R.