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04.09.24 Crafting Data Color spost thumbnail template

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Mike Bostock

06.20.24 Scales of Business

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Allison Horst headshot

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05.28.24 Fighting dashboard rot

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07.23.24 Why Observable tumb A+

Deepti Srivastava

Duane Millar Barlow

Allison Horst

Clint Bagley

Robert Kosara

Jeff Pettiross

Data apps designed for external users have unique requirements compared to internal BI dashboards. Learn how to build effective user-facing data apps and dashboards with these best practices.

How to build successful user-facing data apps

Designing effective dashboards helps end users quickly understand data and make decisions. This post offers seven ideas and guidelines to help you build better dashboards for your users.

Seven essential tips for designing better dashboards

Building custom data apps is expensive and time-consuming. Observable Framework helps you create dashboards and data apps faster and easier, and enables easy hosting on a variety of platforms.

How Observable Framework makes building data apps faster and easier

When dashboards display data at a much higher resolution or frequency than required for informed decision-making, viewers can get lost in the weeds. In this post, we share strategies to build better dashboards that align with the scale of business decisions, so that viewers can focus on changes that actually matter for their organization.

Better dashboards align with the scales of business decisions

Learn how to fight dashboard rot and keep your dashboards effective. Discover five strategies for building and maintaining accurate, relevant, and user-friendly dashboards.

How to fight dashboard rot when building dashboards

Color is one of the most powerful tools in data visualization. A well-designed data visualization color palette enhances readability, ensures accessibility, and reinforces brand identity. 

Crafting an effective data visualization color palette

Data visualization is helping biotech and pharmaceutical teams ask the right questions and uncover insights that drive better outcomes for their patients and their businesses.

How biotech and pharma teams use dataviz to identify patients, and deploy faster treatment

Observable is now using the TypeScript Language Server to provide contextual editor hints. Software Engineer Duane Millar Barlow explains how it was implemented.

Bringing the TypeScript Language Server to Observable

Businesses need to make sense of vast, siloed datasets. Here’s how Observable enables data teams to collaborate and discover insights. 

Future of data work: empowering data practitioners

For this week’s Future of Data Work series, we sat down with our CTO Mike, where he shares what motivates him in his own work, as well as how he hopes people work with data in the future.

Best practices