- Feb 2024
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observablehq.com observablehq.com
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https://web.archive.org/web/20240216060220/https://observablehq.com/blog/observable-2-0
Observable is a static site generator for data dashboards and analyses. It can handle markdown and is as such compatible with using Obsidian notes as source. See https://mastodon.social/@kepano/111937315007645449
This is comparable with [[EUNotes via Github Respec naar Geonovum]] where I generate a respec site from my notes through github. Except that Respec is text documentation, and Observable contains javascript to present data.
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- Mar 2023
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ggstrader/obsidian-meta-vault at obsidian-iceberg
A repository for custom Obsidian.md dashboards, daily notes, etc.
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- May 2021
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laurenhanks.com laurenhanks.com
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This is a rather cool find and I can think of a few ways of using it.
Being able to add widgets easily to the dashboard can be a highly useful thing!
Also having the ability to easily add an admin page in the menu could be incredibly helpful in this setting.
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- Jan 2021
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covid-19.iza.org covid-19.iza.org
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Naudé. W., (2020). Artificial Intelligence against COVID-19: An Early Review. Institute of Labor Economics. Retrieved from: https://covid-19.iza.org/publications/dp13110/
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- Oct 2020
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datarevenue.com datarevenue.com
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Use Streamlit if you want to get going as quickly possible and don’t have strong opinions or many custom requirements.Use Dash if you need something more flexible and mature, and you don’t mind spending the extra engineering time.
Streamlit vs Dash
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Here’s a table showing the tradeoffs:
Comparison of dashboard tech stack as of 10/2020:
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- Aug 2020
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www.thelancet.com www.thelancet.com
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Arora, Rahul K., Abel Joseph, Jordan Van Wyk, Simona Rocco, Austin Atmaja, Ewan May, Tingting Yan, et al. ‘SeroTracker: A Global SARS-CoV-2 Seroprevalence Dashboard’. The Lancet Infectious Diseases 0, no. 0 (4 August 2020). https://doi.org/10.1016/S1473-3099(20)30631-9.
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- Mar 2017
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www.insidehighered.com www.insidehighered.com
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have helped Pierce College significantly improve its three-year graduation rates from 22 percent to 31 percent among new degree-seeking students and 21 percent to 30 percent among first-generation students.
Causal statement, but with a qualification.
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Chancellor Michele Johnson said the dashboard was met with “such resistance even though we tried to frame it as being committed to student success.” But, she added, “We had to be patient enough to let some people mess around in the data.”
Great evidence regarding faculty are initially resistant to analytics data.
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