Data is Beautiful

Source

About page: https://www.rawgraphs.io/about

Tutorials: https://www.rawgraphs.io/learning

Many visual models have been conceived and identified in the past several years, but their production is difficult for non-technical users and coding knowledge and a significant amount of time is still required to master the libraries and the tools that allow to create them.

What makes RAWGraphs different from other data visualization tools?

1. No fee and no registration required. RAWGraphs is open and free for everybody

[...]

2. RAWGraphs doesn’t store data.

Even though RAWGraphs is a web app, the data you insert will be processed only by the web browser. No server-side operations or storages are performed, no one will see, touch or copy your data.

3. Open outputs optimized for your design process.

RAWGraphs allows you to export your visualizations in .svg. [...]

I learned about it from this article: https://gijn.org/stories/four-free-cutting-edge-investigative-data-tools/

In particular, it was described as follows:

While excellent visualization tools such as DataWrapper and Flourish are frequently used in published investigations, reporters often need simple, fast graphical depictions of their data during the reporting process. In addition to guiding your understanding of complex data as you gather it, it’s often helpful to have a simple bar chart, matrix plot, or bubble chart to show your editor or a potential source.

Pooja Dantewadia, data journalist at Realtor.com and a former graphics reporter at The Los Angeles Times, said the open source RAWGraphs web app is not only ideal for briefings and brainstorms, but is also useful for rapid chart choices and published graphics on deadline.

RAWGraphs “is amazing in terms of quickly turning data into visuals,” Dantewadia noted. “It’s great if you want quick analysis of data, and to quickly see what kind of chart would be most appropriate, so your editor can quickly see what the data is showing. It’s great for brainstorming. And you don’t even have to sign up — that’s how quick it is.”

The app includes 30 chart models, from Sankey diagrams to heatmaps, and its Youtube channel offers helpful tutorials on how to build and export each one. According to the website, data you upload to the tool should be secure because “the data you insert will be processed only by your web browser.”

Some real beautiful data graphs in this paper

Source: https://doi.org/10.1016/S0140-6736(24)02317-1

The Top 4 Countries by rate:

1. India 26%
2. China 18%
3. USA 5%
4. Pakistan 4%

This is only accounting for tracked diabetes, so some of the areas might have larger numbers.

:: Additively weighted Voronoi diagram ::

I wrote this implementation many years ago, but I feel it didn’t receive the recognition it deserved, especially since it was the first freely available. So, better late than never—I’d like to present it here. It’s an algorithm for computing the Weighted Voronoi Diagram, which extends the classic Voronoi diagram by assigning different influence weights to sites. This helps solve problems in computational geometry, geospatial analysis, and clustering, where sites have varying importance. While my implementation isn’t the most robust, I believe it could still be useful or serve as a starting point for improvements. What do you think?

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Based on the study Cross-Gender Social Ties Around the World, By Michael Bailey, Drew Johnston, Theresa Kuchler, Ayush Kumar, Johannes Stroebel.

More maps: https://pages.stern.nyu.edu//~jstroebe/PDF/BJKKS/_GenderTies/_Appendix.pdf

Aggregated data: https://data.humdata.org/dataset/cross-gender-ties

cross-posted from: https://lemmy.world/post/25580771

The visualization presents monthly global temperature anomalies.

https://svs.gsfc.nasa.gov/5190

[Nat Geo]

Associated article: https://proton.me/blog/big-tech-pays-fines-under-3-weeks

Source

Credits: https://old.reddit.com/r/dataisbeautiful/comments/wuw5hq/oc_the_state_of_indigenous_languages_in_canada/

There are 243,155 people in Canada that were recorded as being able to speak an Indigenous language in the 2021 census. This is 0.67% of the total population of Canada. However, this is still 100k more than the population with an Indigenous first language. Centuries of oppression have resulted in the decline of Indigenous languages in Canada, and revival efforts exist today among generations that did not grow up speaking the language.

The top 9 Indigenous languages in Canada are:

• Cree (an Algonquin language) with 87,875 speakers. Called a language, group of languages or a language continuum, most Cree speakers in Canada simply say they speak Cree.
• Inuktitut (an Inuktut language) with 41,680 speakers. The main language of the Inuit in Canada, and the only language other than English or French spoken by a majority in a province or territory.
• Ojibway (an Algonquin language) with 26,165 speakers. Similar to Cree, Ojibwe (or Ojibway in the census) has many dialects, though most identify with the language as a whole.
• Oji-Cree (an Algonquin language) with 15,305 speakers. Also called Severn Ojibwe, this is an "Ojibway-Potawotami language" language/dialect kept separate from the rest in the census.
• Dene (an Athabaskan language) with 11,555 speakers. Also called Denesuline or Chipewyan, spoken mostly in the northern half of Saskatchewan, it is arguably the top language there depending on how you measure Cree.
• Innu (an Algonquin language) with 10,745 speakers. The main language of the Innu of Northeastern Quebec and Labrador.
• Mi'kmaq (an Algonquin language) with 9,245 speakers. Mi'kmaq is an Eastern Algonquin language of the Maritime Provinces.
• Blackfoot (an Algonquin language) with 6,685 speakers.
• Atikamekw (an Algonquin language) with 6,815 speakers. In the Cree-Innu group, spoken mostly in the Saint-Maurice watershed north of Montreal.

Full stats can be explored in this table:

https://www12.statcan.gc.ca/census-recensement/2021/dp-pd/prof/details/page.cfm?LANG=E&GENDERlist=1&STATISTIClist=1&DGUIDlist=2021A000011124&HEADERlist=18

Note on "Insufficient Speakers". Stats Canada has an anonymity filter on all data that turns any response below 10 people to 0. So, in the top right map that means less than 10 speakers of an indigenous language. In the main map that means less than 10 speakers of an individual language family, and the unstriped Algonquin divisions have less than 10 speakers of one of the four individual subgroups.

Source: Census 2021, Knowledge of Languages by Census Division. Tools: QGIS, Excel

Credits: https://old.reddit.com/r/dataisbeautiful/comments/1hr3b2c/global_language_evolution_chart_oc/

Here are the countries the US sells to

https://www.state.gov/fiscal-year-2023-u-s-arms-transfers-and-defense-trade/

Author: https://old.reddit.com/r/dataisbeautiful/comments/1hdmfze/oc_the_popularity_of_christmas_music_and_rock/