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Best chart types

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Allison Horst

Observable

Over the past two months we’ve made big updates to the SQL node in Observable Canvases. Learn about the friction points we’ve addressed, the solutions we’ve implemented, and what’s in the pipeline. 

Recent improvements to the SQL node in Observable Canvases

On Nov 11, we hosted Art + science: Blending creativity and analysis in data visualization, a webinar on how three data visualization leaders — Kelsey Nanan, Tanya Shapiro, and Shirley Wu — strike that balance in their work.

Webinar recap: Art + science: Blending creativity and analysis in data viz

Explore how data viz designer Karim Douieb creates impactful data visualizations. Learn his five principles behind visuals that clarify, connect, and spark insight.

Creator spotlight: The anatomy of an impactful data visualization with Karim Douieb

Representing data flow is critical in  Observable Canvases because it lets users track data as it moves through branching analyses. Learn how our predictable, user-friendly connectors make it easy to follow the data in canvases.

Visualizing data flow in Observable Canvases

How Dr. Philip Bogden uses Observable to build interactive data tools, helping oncologists explore and visualize patient data. 

Making science visible: Dr. Philip Bogden on bringing data visualization to cancer research

Learn useful features in Observable Canvases that streamline data exploration, speed up data wrangling, and improve organization and navigation in complex analyses.

Eight features supporting fluid data exploration in Observable Canvases

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.

Building a better approach to dashboards in Observable Canvases

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.  

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.

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. 

Observable blog

Recent improvements to the SQL node in Observable Canvases

Recent improvements to the SQL node in Observable Canvases

Webinar recap: Art + science: Blending creativity and analysis in data viz

Creator spotlight: The anatomy of an impactful data visualization with Karim Douieb

Visualizing data flow in Observable Canvases

Making science visible: Dr. Philip Bogden on bringing data visualization to cancer research

Eight features supporting fluid data exploration in Observable Canvases

Building a better approach to dashboards in Observable Canvases

Choosing the right chart for your data

Table virtualization in Observable Canvases

Challenges underlying the humble data join