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07.11.24 Showcase examples

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Allison Horst

Observable

Robert Kosara

Kickstart your analysis and start visualizing data with Observable Plot. In this guide, we outline some common chart types, and share ready-to-use snippets to help you quickly start exploring data.

Building 5 essential charts with Observable Plot

Observable is the best place to build and share custom data apps for user-facing analytics. Here, we explain where Observable Notebooks and Framework shine in the data analysis lifecycle from initial data exploration and testing to final, production-ready data apps.

From data exploration to production-ready data apps with Observable Notebooks and Framework

We recently published six example dashboards built with Observable Framework. In this post, we share takeaways from our experience developing custom dashboards and data apps with code, with a focus on flexibility, project organization, and customization.

Takeaways from building our showcase dashboards with code

Building dashboards with code opens up many possibilities to save time and effort, while ending up with better results. In this post, we look at how code enables precise layouts and stylings, reusable code saves time, and how importing components lets you use uncommon and custom chart types.

Three ways you can build better dashboards and data apps with code

In Observable Framework, you can write data loaders in any language to generate data snapshots at build time. In this post, the Observable team shares tips to help you create and troubleshoot data loaders so you can make faster, richer data apps.

How to write and troubleshoot data loaders

Observable Framework uses JavaScript for code running in the browser, but the equally (or more?) important data loaders can use any language. Don’t believe us? Well, here are examples of using Python, R, shell scripts, and Julia. Even if you don’t regularly use JavaScript, you can use your skills in other languages to build fast and beautiful data apps and dashboards.

How-to guides

Building 5 essential charts with Observable Plot

From data exploration to production-ready data apps with Observable Notebooks and Framework

Takeaways from building our showcase dashboards with code

Three ways you can build better dashboards and data apps with code

How to write and troubleshoot data loaders

Data loader examples in R, Python, shell scripts, and Julia