June 19th, 2020 by AnyChart Team
In data visualization, theory is very important but practice is absolutely everything. We continue to share with you some of the new charting best practices we’ve come across around the web so you could see what others do and keep improving. Check out how various experienced data visualization professionals make data speak and tell insightful stories, in DataViz Weekly.
Today, we are happy to meet you with the following new interesting projects:
- Black Lives Matter and racial disparities in America, in 25 charts — Business Insider
- The Economist’s forecast model for the 2020 U.S. presidential election — The Economist
- Unemployment rate in the United States since 1948 — FlowingData
- Names with a similar trajectory of popularity over time as Karen — The Pudding
Read more »
June 16th, 2020 by AnyChart Team
Just added, two new helpful features for our project management bundle for Qlik Sense! Enjoy a more precise control over the visualization of your data and make better decisions!
Read more at qlik.anychart.com »
June 12th, 2020 by AnyChart Team
Hey everyone! Here’s DataViz Weekly with a quick presentation of four new data graphics projects that we’ve found worth checking out. Look at these stunning examples of charts and maps in action!
- Areas with the humanity’s lowest impact on the natural world — National Geographic
- COVID-19 in Austria (and worldwide) — Jürgen Höfer
- Age of buildings in Saint Petersburg (Russia) — Nikita Slavin
- Chronic health conditions by income and race — NYT
Read more »
June 10th, 2020 by Anastasia Zoumpliou
Stacked area charts, a variation of classic area charts, are quite a popular form of data visualization. They work great to graphically represent how multiple variables and their totals are changing over time. In this tutorial, I will show you how to easily create an interactive JavaScript stacked area chart which will look compelling in any HTML5 project, web site or app.
To demonstrate this way, which is quite simple to master even if you only have basic HTML coding skills, I am going to visualize official data about the outbreak of the COVID-19 pandemic in Italy. The visualizations built along the tutorial will display how the numbers of cases, recoveries, and deaths have been changing — from January 31, when the first two cases were confirmed, to yesterday, June 9, when the total number of coronavirus cases in Italy reached 235,561.
Read the JS charting tutorial »
June 5th, 2020 by AnyChart Team
Every week, we meet a number of new visual presentations of data around the web. Then, on Friday, we pick the four most interesting of them to tell you about. The following projects made it to DataViz Weekly this time:
- Job losses in the United States, the second wave — Bloomberg
- Predictions from The Simpsons that came true — Seffana Mohamed-Ajaz
- Morphocode’s city explorer — Morphocode
- Dodgy academic journals — The Economist
Read more »
May 29th, 2020 by AnyChart Team

Waiting for a new serving of interesting chart examples? DataViz Weekly is here! Check out new coronavirus data visualization projects from around the web that we’ve found worth seeing:
- Anatomy of the COVID-19 outbreak in Singapore — Reuters
- Health disparities in communities of color across the United States as revealed by COVID-19 — The Washington Post
- Bill Gates coronavirus conspiracy theory in public opinion — Yahoo News
- Link between the housing crisis and COVID-19 deaths in the United Kingdom — Inside Housing
Read more »
May 27th, 2020 by Wayde Herman
Scatter plots are a great way to visualize data. Data is represented as points on a Cartesian plane where the x and y coordinate of each point represents a variable. These charts let you investigate the relationship between two variables, detect outliers in the data set as well as detect trends. They are one of the most commonly used data visualization techniques and are a must have for your data visualization arsenal!
In this tutorial, I will teach you how to build your very own interactive scatter plot charts using JavaScript.
Ever wondered whether the population of the United States of America were dog people? Well, you’re about to find out! To help you learn more about building scatter plots I will be using the Cat vs Dog Popularity in US dataset. This dataset contains the percentage of homes with dogs and cats for each US state.
Read the JS charting tutorial »
May 22nd, 2020 by AnyChart Team
In the new DataViz Weekly article, we highlight four fresh projects, visualizing COVID statistics and data about Berlin trees, for great use of charts. Here’s a quick list of what each is about:
- StopCorona, a COVID tracker charting data from over 20 sources — Diffco
- Social distancing in America and how it worked in each state — Bloomberg
- COVID-19 test trends in the United States, by state — ProPublica
- Berlin trees and how each is watered — CityLAB Berlin
Read more »
May 22nd, 2020 by AnyChart Team
We’ve just updated our JavaScript charting library with new exciting features and improvements! In the 8.8.0 release of AnyChart JS, the focus is put on enhancements for Gantt charts. They will be helpful in making your project and resource data visualizations even more insightful with ease. We’ve also upgraded basic and time-series charts as well as maps. Below is an overview of the new key arrivals. Be sure to check it out, download the updated builds, and enjoy!
»»» See What’s New in AnyChart 8.8.0! «««
- Categories: AnyChart Charting Component, AnyGantt, AnyMap, AnyStock, Big Data, Business Intelligence, Dashboards, Financial Charts, Gantt Chart, HTML5, JavaScript, News, Stock Charts
- 1 Comment »
May 21st, 2020 by AnyChart Team
Earlier, we introduced you to a new, ever-updating COVID tracker that uses AnyChart to visualize the latest pandemic data in insightful charts, StopCorona.info. To let you know more, we also talked to Vadim Peskov, CEO at Diffco, the app development company behind StopCorona, and asked him a few questions.
Read our quick interview to learn more about StopCorona and their experience using our JavaScript charting library for interactive data visualization. (Stack: MySQL/Symfony/Angular.)
Read more »