owid-grapher
framework
owid-grapher | framework | |
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198 | 9 | |
1,320 | 1,836 | |
1.0% | 7.5% | |
10.0 | 9.9 | |
5 days ago | 3 days ago | |
TypeScript | TypeScript | |
MIT License | ISC License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
owid-grapher
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IT Healthcare: Its Importance, Challenges And How To Find Good Healthcare Data
Let’s begin with a data visualization-friendly resource.
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Why Are Older Americans Drinking So Much?
Here's a dashboard: https://ourworldindata.org/
Pick almost anything to see a positive trend.
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Observable 2.0, a static site generator for data apps
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.
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When I look into the future I see nothing.
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.
- The Techno-Optimist Manifesto
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This single dad makes $75K a year. He can't find affordable housing in Vancouver for him and his son
If your statement were true, we wouldn't be living in a world where every measure of human well being only goes up.
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Project Ideas!! Need Guidance
I don't have any ideas, but I'm just sharing this in case you're not aware https://ourworldindata.org/
- Ein tatsächlich guter Artikel über Fleischersatzprodukte. „Was Sie über Fleischersatzprodukte wissen sollten“
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53% of parents say climate change affects their decision to have more kids
Not according to Worldometers.info, nor by ourworldindata.org or worldpopulationreview.com. Wikipedia gives India a slight edge.
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The global trade of plastic waste [OC]
The data comes from ourworldindata.org and from the OECD website. Pretty simple !
framework
- Observable Framework – The best dashboards are built with code
- Observable Framework 1.1
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Interesting Ideas in Observable Framework
Thanks for the feedback. We have a PR open to make it easier to register new interpreters (without needing to fallback to .sh or .exe); it’ll let you specify the interpreter associated with a given file extension (e.g., .kts for Kotlin). https://github.com/observablehq/framework/pull/935
As for inputs-driving-data-loaders, that does go against the grain a bit since Framework favors static data snapshots so that the built site is self-contained and performant. But a technique that works well is to generate Parquet files in data loaders representing the superset of data that you want to interact with, and then using DuckDB/SQL in the client to extract the subset you want to visualize. This tends to perform well, though obviously it’s dependent on the size of the superset you want to interact with.
- Observable Framework: A static site generator for data apps, dashboards, reports
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Observable 2.0, a static site generator for data apps
From the Observable Framework point of view, you’re very welcome to use Apache ECharts or any other library instead of Observable Plot, since you can import whatever you like and it’s all just JavaScript.
Since there was a lot of interest in this thread, Mike added a page to the docs with an ECharts example: https://observablehq.com/framework/lib/echarts
There are two pieces of that example code specific to Framework: the html`` tagged template literal creates a DOM element (see https://github.com/observablehq/htl, also usable outside Framework), and the display function inserts it into the document above the code block (see https://observablehq.com/framework/javascript/display). Note that, whereas Observable Plot takes an options object and returns a DOM element, ECharts instead takes a DOM element and mutates it — but in general they should be equally easy to use in Framework.
Like Plot (and Vega-Lite, another great option), ECharts is also now one of Framework’s built-in “recommended libraries” (see https://observablehq.com/framework/javascript/imports#implic...), meaning that if you reference `echarts` Framework will lazy-load it for you. Adding that was a two-line diff: https://github.com/observablehq/framework/pull/811/files#dif.... But I wanna emphasize that Framework doesn’t have to explicitly “support” a given library for you to use it. “Supporting” in this case just means the convenience of saving you a one-line import statement. But don’t wait for our blessing!! Use whatever.
What are some alternatives?
seaborn - Statistical data visualization in Python
evidence - Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
dataflow - An experimental self-hosted Observable notebook editor, with support for FileAttachments, Secrets, custom standard libraries, and more!
prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
obsplot - Observable Plot bindings for R
nexe - 🎉 create a single executable out of your node.js apps
datasette-dashboards - Datasette plugin providing data dashboards from metadata
abstreet - Transportation planning and traffic simulation software for creating cities friendlier to walking, biking, and public transit
opendata.cern.ch - Source code for the CERN Open Data portal
deno - A modern runtime for JavaScript and TypeScript.
pyobsplot - Observable Plot in Jupyter notebooks and Quarto documents