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These days, treemaps are commonplace in BI dashboards. In our new post, learn about the origins of treemaps, how they've changed over time, and how they’re used for business intelligence and data visualization today: buff.ly/8WONZZ9

With Observable Plot, you get built-in options for interactive tooltips, spatial interpolators, curve variations, rounded mark corners, and much more. Learn about eight underused Plot options that can instantly uplevel your charts: buff.ly/2R9lplR

When it comes to data viz and app development, Kelsey Nanan thinks that collaboration between designers and developers is key to overcoming hard challenges, unlocking creativity, and finding unique solutions: buff.ly/wy4KUDe

Large language models (LLMs) and AI tools have proven to be very useful for programming, but how do they do when writing D3 code? In this blog post, we explore Claude's ability to create and modify some basic charts from time series data. buff.ly/5BKQhhp

Charts should speak for themselves — but too often, key insights get lost. Smart annotations help guide the story. Here are five ways to make your charts clearer, more interactive, and more impactful. buff.ly/71mOhGK

When used carelessly, animation can distract from data visualizations. Check out these best practices for delivering better animations in data visualizations. buff.ly/UipM8V5

Data visualizations should inspire curiosity, encourage exploration, and leave users excited for more. We spoke with data viz developer Kelsey Nanan to understand her process and guiding principals. Learn more: buff.ly/OcevZAv

You know that databases are where most data lives, but do you understand how they work? In this series, we'll walk you through what tables and relations are, how data is organized, how you filter and aggregate, and how joins work. Read more: buff.ly/KvW1I1R

Say hello to the collaborative data canvas. Observable Canvases give teams a faster, more flexible way to work with data — explore freely, think visually, and uncover better insights, together. Now in early access: buff.ly/y7H1MG7

Observable Canvases get data teams and stakeholders all in one place, with the context they need to fearlessly explore and analyze data together. Learn how canvases (now in early access) can help teams make faster, better, more trusted business decisions: buff.ly/F1CCrQn

In Observable Canvases you can write queries in SQL, build custom charts in JS, or wrangle and visualize data using UI options. Seamlessly mix methods across the infinite canvas, with the freedom to choose how you work with data at each step. Learn more: observablehq.com

Ever built a chart only to have people misread it, or miss key insights? Annotations can make all the difference. Here are five ways you can uplevel your chart annotations for improved context, clarity, and interactivity (with reusable examples and code): buff.ly/o2mD6OV

In Observable Canvases, data teams can break free from linear workflows to explore data in branched, visual analyses across an infinite canvas. Work seamlessly between code and UI, and collaborate with stakeholders using whiteboarding tools: buff.ly/oMQH5Kf

Join us May 20 at 10 AM PT for a first look at Observable Canvases. Learn how canvases support fast, visual data exploration and analysis, with whiteboarding tools that let data teams and stakeholders all participate in the same place. Sign up today: buff.ly/TjsahdU

Collaborative analytics brings data teams and stakeholders into the analysis process from ideation to final product. Discover how that helps you all reach the finish line, faster: buff.ly/v65yvHD

With end-to-end visual data analysis, you can keep eyes on your data throughout the analysis process. Learn how that helps you discover unexpected value in your data, catch mistakes earlier, and improve cross-functional collaboration: buff.ly/Y4QGVZx

Including collaborators and stakeholders throughout analysis helps to avoid redundant work, crossed wires, and rehashing decisions at the project finish line. Learn how collaborative analytics gets you from raw data to trusted business decisions, faster: buff.ly/v65yvHD

Most BI tools let you make histograms with one click. So, you might think that designing good default histograms is simple. Turns out, it's harder than it sounds. Learn how we handle common challenges to make better out-of-the-box histograms in canvases: buff.ly/WlIEc4o

When data visualization is confined to initial exploration and final storytelling, you can miss out on insights, anomalies, and mistakes that get revealed in between. Learn how end-to-end visual data analysis helps your team uncover insights, and errors: buff.ly/JzNrEPw

Data analysts spend their days knee-deep in company data, so they are uniquely positioned to help teammates find, use, and trust analyses that can improve their work. Learn how analysts can contribute to a stronger data culture across their organization: buff.ly/JrTdLNH