owid-grapher VS prettymaps

Let’s begin with a data visualization-friendly resource.

Here's a dashboard: https://ourworldindata.org/

Pick almost anything to see a positive trend.

I think the idea of Framework is really good, but static data limits the applications, excluding monitoring and other cases in which the data is constantly changing, but the dashboard can stay as it is. For example, I'd love to see a revamped Framework version of the LHC beam monitor and related pages (see https://op-webtools.web.cern.ch/vistar/, but check again in 2 months or so, when the accelerator will be running).

In high-energy physics, ROOT is /the/ toolkit for data analysis, and I guess jsROOT (https://root.cern.ch/js/) could also be used to load data to be shown in Framework dashboards. I thought the idea of Framework as a blogging engine with powerful data visualization built-in could be very interesting. Think, for example, about physicists pulling open data (https://opendata.cern.ch) and writing about their analysis or someone pulling data from https://ourworldindata.org/ in their own visualizations to support their case while writing about a particular subject, etc.

This is patently false. Visit ourworldindata.org and look at the data for the past few hundred years. 17th-century English philosopher Thomas Hobbes famously wrote the "the life of man [is] solitary, poor, nasty, brutish, and short," which was largely accurate in the 17th century. Today, the poorest people in developed nations enjoy a standard of living that royalty of Hobbes time would have envied. And while the percentage of humanity living in extreme poverty increased from 8.5% to just above 9% in 2022, overall it's down from 80% in the year 1800. We have made similar strides in the areas of education and healthcare.

If your statement were true, we wouldn't be living in a world where every measure of human well being only goes up.

I don't have any ideas, but I'm just sharing this in case you're not aware https://ourworldindata.org/

Not according to Worldometers.info, nor by ourworldindata.org or worldpopulationreview.com. Wikipedia gives India a slight edge.

The data comes from ourworldindata.org and from the OECD website. Pretty simple !

These maps look great! Reminds me of a project I saw a long time ago [1]. Glad you made this downloadable for everyone who cannot write code.

P.S.: Now, I also have some (birthday) presents ;-)

[1] https://github.com/marceloprates/prettymaps

You can generate them yourself from Open Street Maps. Use this Google Colab. Source - prettymaps.

Check out this repo

Check out Pretty Maps, or the online version, and /r/prettymaps_

Great work! I love osmnx, it's such a nice library. I remember using it at school to work out distance from fire stations across my city. There's this nice library that uses it called prettymaps, I've been meaning to take some time with it to do some sweet posters.

prettymaps – A small set of Python functions to draw pretty maps from OpenStreetMap data