How to Create Calendar Chart in JavaScript
February 11th, 2022 by Shachee Swadia
A calendar chart is an effective way to represent activity over time graphically. It can nicely display how a quantity varies with the days, weeks, months, and years. If you want to learn to build stylish interactive calendar charts easily using JavaScript, welcome to my step-by-step tutorial!
To make this guide not only educating but also entertaining, I decided to reproduce GitHub’s calendar graph and visualize the repository contribution activity of Mike Bostock, a prominent computer scientist known globally as one of the creators of the open-source JavaScript charting library D3.js and of the interactive data visualization development platform Observable. So, we’ll also get a telling picture of how he performed in that regard!
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- Categories: AnyChart Charting Component, Big Data, HTML5, JavaScript, JavaScript Chart Tutorials, Tips and Tricks
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Best New Charts and Maps Not to Miss — DataViz Weekly
February 4th, 2022 by AnyChart Team
Are you sure you have seen all the best new charts and maps? Let’s see. Check out our new DataViz Weekly roundup and make sure you have not missed these four fascinating data visualization projects!
- Accuracy of Punxsutawney Phil’s and other animal meteorologists’ weather predictions — FiveThirtyEight
- The coldest day of the year across the United States — NOAA NCEI
- Tom Brady’s stellar career in American Football — The Upshot
- Budapest street names — ATLO
- Categories: Data Visualization Weekly
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Creating Error Chart in JavaScript
February 3rd, 2022 by Shachee Swadia
Need a cool interactive error chart visualization for your web page or app? Let me be your guide! Follow this tutorial and you’ll learn how to easily create elegant interactive error charts using JavaScript.
Here, I will be visualizing data on COVID-19 threat perceptions in the United States during the first six months of the pandemic, by political affiliation. So you will also be able to explore the divergence in those attitudes between Democrats and Republicans. The data originates from the article “COVID-19 and vaccine hesitancy: A longitudinal study” published in the Plos One journal.
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- Categories: AnyChart Charting Component, Big Data, HTML5, JavaScript, JavaScript Chart Tutorials, Tips and Tricks
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Visualizing Data on Income, Volcano Eruption, Shopping, Climate — DataViz Weekly
January 28th, 2022 by AnyChart Team
Continuing our regular roundups of the most interesting charts, maps, and infographics, we are glad to spotlight a bunch of new awesome projects for your inspiration. Today on DataViz Weekly:
- Americans’ annual personal income — Nathan Yau
- Tonga eruption’s true scale — Reuters
- High street crisis in Great Britain — The Financial Times
- Climate change drivers and sufferers — Der Tagesspiegel
- Categories: Data Visualization Weekly
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COVID-19 Risk Assessment App Pandemonium Uses AnyChart for Data Visualization
January 26th, 2022 by AnyChart Team
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.
- Categories: AnyChart Charting Component, AnyMap, Big Data, Dashboards, HTML5, JavaScript, Success Stories
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Amazing Data Visualization Works Worth Seeing — DataViz Weekly
January 21st, 2022 by AnyChart Team
DataViz Weekly is here to let you know — and get excited — about the four most amazing data visualization works we have come across out there just about now. They are:
- Roadway traffic stress on bicyclists in Boston — Boston Transportation Department and Toole Design Group
- Shopping search behavior patterns for the pandemic era — Schema Design, Google Trends, Axios, and Alberto Cairo
- Thoughts and feelings about immigration in Europe — Federica Fragapane, Alex Piacentini, and ODI
- Raindrop flow path — Sam Learner
- Categories: Data Visualization Weekly
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Most Stunning New Data Visualization Projects from Around Web — DataViz Weekly
January 14th, 2022 by AnyChart Team
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
- Categories: Data Visualization Weekly
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How to Create Sparklines with JavaScript
January 13th, 2022 by Shachee Swadia
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!
In this article, I will show you how to quickly create cool sparkline charts using JavaScript. With OTT content ruling the world of entertainment these days, let’s have fun learning and look at the IMDb ratings of one of the most popular shows nowadays — Money Heist (La Casa de Papel in its original Spanish).
Without more ado, come along on this journey of knowledge heist!
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- Categories: AnyChart Charting Component, Big Data, HTML5, JavaScript, JavaScript Chart Tutorials, Tips and Tricks
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Best Data Visualizations of 2021 — DataViz Weekly
January 7th, 2022 by AnyChart Team
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.
- Categories: Data Visualization Weekly
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2021 Year in Review in Graphics — DataViz Weekly
December 31st, 2021 by AnyChart Team
As we get ready to ring in the New Year 2022, it’s a great time to take a look back at 2021! Over the last 365 days, various experts in data graphics and visual storytelling have done their best to help us better understand what was going on around us with the help of static and interactive charts, maps, and infographics. Now we want to let you recall the most important matters that shaped the passing year from the lens of data visualization.
Here, in the final DataViz Weekly issue of 2021, we bring you a roundup of the year-in-review-in-graphics recaps on Bloomberg, The Wall Street Journal, The New York Times, and POLITICO.
Check it out, see the awesome visuals, and enjoy the start of a very happy, healthy, and prosperous new year that we wish you all to have in 2022! 😎🎉
- Categories: Data Visualization Weekly
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