We continue to support initiatives addressing the pandemic crisis by providing them with a full-featured free license for any of our data visualization tools. Today we are honored to be among the first to talk about a new project that joined this program, an innovative COVID-19 risk assessment app and framework called Pandemonium where all charts and maps are powered by AnyChart.
Built by Quantum Risk Analytics, Inc., a charitable nonprofit founded by MIT alumni, Pandemonium uses sophisticated machine learning algorithms to more accurately model the disease spread and provide a highly personalized evaluation of infection risks. It’s not yet publicly launched as the developers want to add a few more major features and data sources before the official release. But the app is already in the testing phase that the team encourages anyone to join.
We asked Richard Hamlin, CEO at Quantum Risk Analytics, Inc., to tell us more about Pandemonium, how it works, and how our data visualization solutions are used. Read on to know all the details.
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Thanks to your highly positive feedback, we are fully determined to continue DataViz Weekly in the year 2022, a series where the most stunning new data visualization projects are showcased and talked about. So, are you ready for it? Look what made us excited just recently and read on to learn more:
- FIDE World Chess Championship 2021 — FiveThirtyEight
- Slaveholders in the U.S. Congress — The Washington Post
- New COVID-19 cases in the United States, spiralized — The New York Times Opinion Section
- Energy, environment, policy, and society across the U.S. — Rice University’s Baker Institute for Public Policy
Sparklines are elegant microcharts introduced by Edward Tufte, a renowned statistician and data visualization pioneer. Drawn without any axis and occupying minimal space, these tiny graphs are designed to represent the big picture displaying trends in line with text and within table cells. If you want to learn about an easy way of building a sparkline chart, it is the right place!
Without more ado, come along on this journey of knowledge heist!
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In 2021, there were 53 Fridays. It means a total of 53 DataViz Weekly roundups came out during the year, putting a spotlight on some of the most interesting charts, maps, and infographics from around the web. Today, on the first Friday of 2022, we invite you to remember — or get to know in case you missed something — the very best data visualizations of 2021.
As in previous “best of year” collections (2020, 2019, 2018), we decided not to reinvent the wheel but to take a quick look at renowned experts’ picks. Now, check out four lists of the best projects — from Nathan Yau, Kenneth Field, Terence Shin, and DataJournalism.com.