Maria Ciampa

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Ambassador Spotlight David Kirkby

Observable Ambassador and Cosmology Professor David Kirkby studies the origin and evolution of the Universe. Read more about his data work and check out his Penrose Quilt notebook.

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Ambassador Spotlight: David Kirkby, Professor of Cosmology at UC Irvine

Allison Horst

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In Observable Canvases we’re building a new way to build dashboards that keeps your data workflow in one place, brings interactive charts to your fingertips, and consolidates collaboration to cut down on tedious back-and-forths. Learn how we’re doing dashboarding, differently, in canvases.

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Building a better approach to dashboards in Observable Canvases

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There are many factors that go into data visualization decisions, but one of the most important is selecting the right chart. This post outlines which charts work best for different types of data.  

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Choosing the right chart for your data

One way we keep Observable Canvases fast (even when displaying dense, branched, visual analyses) is by virtualizing rows and columns that aren’t currently visible to users. Read on to learn the basics of table virtualization, and how it improves canvas performance.

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Table virtualization in Observable Canvases

Joins are a cornerstone of data wrangling, but are surprisingly challenging to build as UI-based operations. Get a behind the scenes look into why joins are hard, and how we handle them in Observable Canvases. 

Ambassador Spotlight: David Kirkby, Professor of Cosmology at UC Irvine

Maria Ciampa

Related posts

Building a better approach to dashboards in Observable Canvases

Choosing the right chart for your data

Table virtualization in Observable Canvases

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