🎯 Bam! Meet Bullseye charts in Qlik Sense! Qlik counted on us to provide its customers with “ additional choices for building even more compelling visualizations.” And we could not stop innovating!

So, Bullseye has become the 42nd chart type in AnyChart’s extensions for Qlik Sense — enjoy and hit the bull’s-eye in data-driven decision making!

Also, we have added new awesome features to our Gantt charts in Qlik Sense to help expedite actionable insights into your project data. …

New features in AnyChart JS Charts 8.9.0
New features in AnyChart JS Charts 8.9.0

AnyChart 8.9.0 is out! The latest major update brings new exciting out-of-the-box features to our award-winning JavaScript charting library product family — AnyChart, AnyStock, AnyGantt, and AnyMap. Enjoy the improved functionality and build even more compelling data visualizations for your web sites and apps in less time!

New JS Chart Features

Label Text Length

Look at these new exciting examples of data visualizations! We’ve stumbled across these just recently and are more than happy to present them to you today on DataViz Weekly:

  • Share of population with income below the poverty threshold — Our World in Data
  • World Happiness Report 2021 — SDSN
  • Most popular music in your city and worldwide — The Pudding
  • COVID’s impact on retail stores on Oxford St, Rodeo Dr, and Russell St — Quartz

Share of Population with Income Below Poverty Threshold


As we continue to bring you regular roundups of the best visualizations we have stumbled upon out there, it’s Friday and DataViz Weekly here!

Read next and you’ll meet the following new stunning projects:

  • Country wealth and vaccination roll-out — The New York Times
  • Spread of the Kent variant across Britain and worldwide — Reuters
  • Earth’s сlimate history in proxy data — Carbon Brief
  • Interactive Mao Kun map explorer — Ryan Carpenter

Country Wealth and Vaccination Roll-Out


Get your weekly dose of cool data visualization stuff! We have come across these four new amazing projects just lately and are glad to tell you about them right now:

  • Career timelines for all NBA players since 1946 — Nathan Yau
  • Bias and anti-blackness in the names of foundation shades — The Pudding
  • Flood risk in historically redlined and non-redlined neighborhoods — Bloomberg CityLab
  • Elevation and bathymetry worldwide along parallels — Nicolas Lambert

Career Timelines for All NBA Players Since 1946

Every day, a number of new data visualizations on various topics come out around the internet. We are keen to curate the most awesome graphics and share them with you on DataViz Weekly!

Today in the spotlight:

  • Skin tones on the Instagram feeds of fashion and beauty brands — Quartz
  • Timeline of the pandemic year — WaPo
  • Evolution of Chinese names — Kontinentalist
  • Dutch election results in detail — NRC

Skin Tones on Beauty and Fashion Brands’ Instagram Feeds

Do you want to know how to easily add a waterfall chart to a web page or application using JavaScript? This tutorial will make sure you’re prepared to confidently deal with that sort of interactive data visualization development!

Waterfall charts illuminate how a starting value turns into a final value over a sequence of intermediate additions (positive values) and subtractions (negative values). These additions and subtractions can be time-based or represent categories such as multiple income sources and expenditures. …

Welcome back to DataViz Weekly, our regular blog feature where we recognize some of the most interesting data visualizations we’ve recently seen out there. Here’s our new selection of stunning graphics from different people — take a look!

  • Bats and the origin of virus disease outbreaks — Reuters
  • Race and gender diversity within the biggest corporations in the U.S. — Bloomberg
  • All roadwork projects in West Virginia for 2021 — WVDOT
  • Climate threats to heritage sites in England, Wales, and Northern Ireland — National Trust

Bats and Origin of Virus Disease Outbreaks

This week, we’ve found a number of new cool projects that could serve as good examples of robust data visualization. Here are the four ones we like the most. Watch how compelling charts and maps let data speak — join us as we overview these projects today on DataViz Weekly:

  • Climate stripes for each U.S. state — Luke Browne, YSE
  • Causes and dangers of the Gulf Stream weakening — The New York Times
  • Minimum wage change in the U.S. by state since 1968 — Nathan Yau
  • Houses worth $1,000,000 in the U.S. — Social Explorer

Climate Stripes for Each U.S. State

This article is a step-by-step guide that’ll show you how to build an interactive JavaScript range chart that visualizes 20 years of the LA Lakers’ performance with Kobe Bryant.

The year 2020 was pretty poignant for obvious reasons. But even before the pandemic, the year started on a sad note with the death of basketball legend Kobe Bryant. He was a star NBA athlete who had played for 20 years with one and only one team — the Los Angeles Lakers.

Remembering Kobe one year after that horrible crash, I wondered how the Lakers had performed in his two-decade era…


Cross-platform JavaScript/HTML5 data visualization solutions, flexible JS charts libraries & Qlik Sense extensions for all your dataviz needs: www.anychart.com

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