Observable

With Observable Canvases, your data team can spend more time finding useful business insights, and less time building new displays to communicate them. Canvases make it lightweight to share interactive charts and tables as an extension of your analysis, not as an additional project. Embed canvas nodes in existing internal apps to give your team useful new charts, without asking them to bookmark a new page. Or, draw a frame around a portion of your canvas, generate a tidied-up dashboard view in one click, and share the dashboard URL with your team and stakeholders. Learn how canvases streamline data analysis from initial exploration to presentation-ready displays: https://lnkd.in/gXG8SB96

Advanced charts like Sankey diagrams, beeswarms, and arc maps aren’t just for show. They can help you view data in different, useful ways that reveal otherwise hidden patterns. But often it’s difficult to get your data in a compatible format, and time consuming to build those charts from scratch. That’s why we’re making them available out-of-the-box in Observable Canvases. We’ve recently added the charts above, plus bump charts, circle packing, and more — all interactive by default, built to be fast and responsive no matter the size of your data, and generated with just a few clicks. Learn how canvases streamline data visualization and analysis: https://lnkd.in/g9bjS5Hj

Observable Canvases are a new kind of data analysis tool — built for teams, powered by AI, and backed by a global community of data practitioners. We just shared major updates to canvases in our summer release. Tune in for a live webinar on September 4 at 10 AM PT for a first look at new features like an expanded library of advanced charts, more sharing options including embedded analytics, and improved permissions management. The product experts and engineers who built canvases will be ready to walk you through these new features and answer your questions live. Register now to see what’s new in canvases:

Today, we’re excited to share some new updates in Observable Canvases. Over the past several months we’ve been adding features that streamline data analysis workflows, improve data exploration and visualization, and expand options for sharing and access. Here’s what’s new in our summer release: 📈 An expanded suite of advanced charts like Sankey diagrams, bump charts, arc maps, and beeswarms. In canvases, our built-in interactive charts lower the cost of exploring different views of your data, so you can uncover more patterns and anomalies in a fraction of the time. 📩 You can now embed canvas nodes in existing internal applications. Deliver fast, interactive canvas content to your team, wherever they’re already in the habit of looking. 🧹 Quickly share canvas content as a dashboard. Just draw a frame around any of the canvas, then right click to create a tidy dashboard with a separate URL that you can immediately share with stakeholders. ✨ We’ve added support for Postgres and Databricks, in addition to Snowflake and file imports with DuckDB-Wasm. 🎫 We’ve improved canvas access and version controls, including with a new view only mode and automatic version history. Learn more and request a demo:

A handful of chart types can carry you a long way in data analysis. In our latest blog post, we walk through five essential charts you can build with Observable Plot. To make it even easier, we also include code snippets to get you started. Read more to learn how to develop: - Bar charts - Scatterplots - Line charts - Histograms - Heatmaps https://lnkd.in/g73zTee9

What if you could take a visually overwhelming map and turn it into a clean, tile-based grid that retains meaningful geospatial information? With grid cartograms, you can! By representing each region with a uniform tile (square, hexagon, or even triangle), grid cartograms can: - Give small regions equal visual weight next to larger ones - Make patterns and comparisons easier to spot - Add meaningful spatial layouts to faceted charts and small multiples Read our latest post to learn the essentials of grid cartograms, explore examples, learn about pros, cons, and alternatives, and for resources to start building your own in Observable:

AI adoption doesn’t have to be top-down. At Observable, we’re supporting our team to explore and use AI tools in ways that work for them. The result? A culture where AI feels natural and useful, not forced. 👉 Learn how our team at Observable boosted AI adoption:

AI can unblock and speed up steps in your data analysis from initial data profiling to final data viz development. For exploratory data analysis, use AI to quickly summarize database schemas and contents, automate tedious data wrangling tasks using natural language prompts, and draft new charts that you can edit and customize. Learn more: https://lnkd.in/g-vMEVBP

In Observable Canvases, AI is transparent and verifiable, so you can confidently use it throughout your data analysis lifecycle. Discover how AI streamlines data exploration by accelerating data profiling, automating data wrangling, and drafting interactive charts: