When dashboards highlight data that is recorded at a much higher resolution than what's necessary to make informed decisions, viewers can get stuck in the weeds. In our new post, we share strategies to align dashboards with the scales of business decisions — using scheduled updates, smoothing, binning, and useful context — to help viewers get from chart to decision, faster. Learn how to build dashboards that help viewers focus on meaningful changes in their data: https://buff.ly/3zmDMT2
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🚀 Ready to speed up your data apps? Join us on June 6 for a live webinar with the Observable team! We’ll show you how data loaders in Observable Framework improve app performance and developer workflows. What to expect: • Data loader essentials — what they are and why you should use them • Advanced and unexpected data loader strategies • Our favorite tips for making the most of data loaders Don't miss out, register now: https://buff.ly/3USqAN8
A practical introduction to Observable Framework's data loaders: tips from the Observable team
streamyard.com
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In our new example, we explore the location, condition, and hazard potential for 91k+ dams in the United States. The dashboard features maps made with deck.gl, interactive charts built with Observable Plot, and an R data loader on the back-end to access and wrangle data from the National Inventory of Dams. 👉 See the live version: https://buff.ly/45UmsBo 👩💻 Check out the source code: https://buff.ly/45Sw3bH
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If you've heard of a static site generators, but don't know what exactly that means (or why it would be a good thing), check out our latest video! We describe how a static site generator works, and why it gives you faster dashboards, less load on your database servers, and more control over when your data updates. https://buff.ly/3XJYqqr
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Frustrated with building dashboards that no one uses? You’re not alone. Join our upcoming webinar (July 16 at 10 AM PDT) to learn how to fight dashboard rot with concrete strategies from Observable Data Visualization Developer Robert Kosara. What you’ll take away: • Deeper understanding of the causes and consequences of dashboard rot • Strategies for identifying what and when to build • Tactics for keeping data current • Tips on maintaining and tracking dashboards There will also be time for live Q&A. Register today: https://buff.ly/3zmjE3G
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🥵 Building dashboards is hard work — don’t let it go to waste. Learn how to fight dashboard rot in our next webinar. Join Observable’s Data Visualization Developer, Robert Kosara, for practical strategies on how to keep your dashboards from decaying into obscurity! Learn more and sign up here:
Strategies to fight dashboard rot
streamyard.com
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Interactivity lets dashboard users dive deeper into the data. With Observable Inputs, you can quickly add radio buttons, check boxes, value sliders, text boxes, buttons, and more to pages. Just choose an input from the library, customize with a few lines of code, then update charts or tables to change based on the current input value. Learn more about creating custom, interactive data apps: https://buff.ly/2WLsIe4
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When you build with code you can create fast, custom data apps and dashboards — without the constraints of legacy BI tools. Explore our showcase examples to see what’s possible: https://buff.ly/4czQj3X
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Unlock the power of code with Observable Framework. Use tools in our standard library out of the box to quickly build custom, interactive charts with: - D3 - Plot - deck. gl - Mosaic vgplot - Leaflet - Mapbox GL - JS - and more! Looking for something else? Framework is flexible. Import any other JavaScript library or component from npm, node_modules, remote sources, or local files. Learn more and start creating performant, bespoke dashboards today: https://buff.ly/2WLsIe4
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New examples just dropped! We've added a number of technique examples to get you up and running with Observable Framework, faster. Explore and reuse code to create hi-res maps, write and access outputs from data loaders (written in Python, SQL, R, JS, Rust, Julia, etc), add custom inputs and page elements, and more: https://buff.ly/3VraE4r.
framework/examples at main · observablehq/framework
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