Use this page to scan recent stories from Anychart, see the themes that keep appearing, and jump into complete story briefs.
Every project plan has to answer two kinds of questions. Some are about the work: what gets done, in what order, and by when. Others are about the people: who does it, and whether they have the time. Each kind needs its own charts, and a plan that answers only the first can still fall […] The post Project and Resource
We regularly sift through the data visualization that appears online, choose notable projects, and feature them in DataViz Weekly as examples. This time, all four come from newsrooms. Have a look: Data Visualization Weekly: September 18–25, 2026 Anomalies in Russia’s 2026 Duma Election Results Russians elected a new St
A number on a dashboard means nothing until it sits next to something: a target, a band, or its own recent history. Most dashboards supply none. Customer satisfaction: 68. But is it good or bad? The tile doesn’t say. It just sets the 68 in 48-point type and gives you nothing to judge it against. […] The post Performanc
Data visualization is what we work on the rest of the week. On Fridays, we go through what got published around the web, keep the pieces that hold up, and put them in DataViz Weekly as examples. Start wherever you like: Data Visualization Weekly: September 11–18, 2026 U.S. Electorate Ahead of 2026 Midterms The United [
Good data visualization gets published constantly, and a lot of it scrolls past before anyone notices. DataViz Weekly is our attempt to slow that down. Each Friday we pull a few pieces out and set them here as examples, with links so you can go straight to them. Check out our latest picks: Data Visualization […] The po
Take a look at four data visualization projects we selected from around the web. Bringing that kind of work here as examples is the whole idea behind DataViz Weekly. Here they are: Data Visualization Weekly: August 28 – September 4, 2026 Record Heat and Humidity Across U.S. Summer 2026 has run hot across the contiguous
Root cause analysis leans on a different set of charts than reporting does. Seven do most of the work, and each one answers a single diagnostic question: which segment owns the drop, which few causes matter, what moved the number, where the volume leaks. None of them is a reporting chart. That distinction is the […] Th
You are caught up for now.
Open the app view when you want faster scanning, saved stories, and source-focused reading in one place.