plot
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plot | owid-grapher | |
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38 | 198 | |
3,862 | 1,316 | |
3.3% | 1.7% | |
9.1 | 10.0 | |
6 days ago | 5 days ago | |
HTML | TypeScript | |
ISC License | MIT 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.
plot
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Vega-Altair: Declarative Visualization in Python
I love Vega(-lite) / Altair, the grammar of graphics plotting system is really great to build any kind of chart even when it wasn't thought through by the authors of the library. There are other wrappers for languages that lack viz libraries, such as Elixir / Livebook [0]
However, when I used it a couples years back it struggled with large vizs, I think due to Vega(-lite)'s way of embedding the data in the viz artifact.
Also, interactive is nice but often I just need a quick static plot, and matplotlib is more convenient for this, you can easily see the png in any environment etc.
These days I'm eager to see an Observable Plot [1] wrapper for Python !
[0] https://github.com/livebook-dev/vega_lite
[1] https://github.com/observablehq/plot
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Observable 2.0, a static site generator for data apps
Good questions.
1. It’s just JavaScript so you can fetch stuff dynamically too (see https://observablehq.com/framework/lib/duckdb). But yeah, only client-side. (Though see https://github.com/observablehq/framework/issues/234.)
2. Sure, it’s all open source, I bet you could make that work. Or `yarn deploy` to Observable and configure sharing there (though it wouldn’t let you charge others).
3. Yup. Which is part of the appeal of model of running data loaders at build time: you can query some private data and viewers would only be able to see the final result set. (The lack of something like this has always been a huge problem for Observable notebooks. You’d make some great query-driven charts and then couldn’t make it public without some awkward manual dance of downloading and re-uploading a file to a fork of the notebook.)
4. I wish I knew! It’s being tracked here https://github.com/observablehq/plot/issues/1711. Lately there’s been a lot more work on Framework naturally but now that that’s out…
5. Another good question. We’re definitely interested in tailoring it more to this sort of use case but lots is TBD!
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Using Deno with Jupyter Notebook to build a data dashboard
Observable Plot: A library built on top of D3.js used to visualize data and iterate more quickly on different plot chart
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What website frameworks are used to build these websites?
https://observablehq.com/
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Yandex open sourced it's BI tool DataLens
Observable Plot [0] is also nice. AFAIU it's the same library powering the visualizations within Observable itself.
[0] https://observablehq.com/plot/
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Best React charting libraries for data visualizations
I liked observablehq plot library: https://github.com/observablehq/plot
- Bank Failures Visualized
- Observable Plot: A JavaScript library for exploratory data visualization
- Observable Plot: The JavaScript library for exploratory data visualization
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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 !
What are some alternatives?
plot-react - React wrapper for @observablehq/plot
seaborn - Statistical data visualization in Python
blazor-samples - Explore and learn Syncfusion Blazor components using large collection of demos, example applications and tutorial samples
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser
prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
go-echarts - 🎨 The adorable charts library for Golang
nexe - 🎉 create a single executable out of your node.js apps
d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
abstreet - Transportation planning and traffic simulation software for creating cities friendlier to walking, biking, and public transit
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
deno - A modern runtime for JavaScript and TypeScript.