January 24th, 2023 by AnyChart Team
Happy day, data analysts using Qlik! We are thrilled to announce the release of our groundbreaking Decomposition Tree extension for Qlik Sense!
Previously unavailable in Qlik natively or in a third-party extension, a Decomposition Tree is an incredibly powerful technique. It allows you to intuitively explore your core metrics across a number of dimensions, quickly see which factors affect the totals, and make timely decisions to optimize business performance and profits!
Read more at qlik.anychart.com »
January 24th, 2023 by AnyChart Team
In addition to the Decomposition Tree and new Gantt Chart features, we are excited to release two astonishing extensions. Enjoy making sense of your metrics using the brand new approaches you never had in Qlik before — with our Deluxe Combo Chart and Versatile Circular Gauge for Qlik Sense!
Now, join us for a quick overview of these novel extensions and check them out right away!
Read more at qlik.anychart.com »
January 24th, 2023 by AnyChart Team
Tracking project progress using Gantt charts in Qlik Sense has become even easier with the latest update of our dedicated extension! Learn about the just-released features and improvements. Then update to the newest version of AnyGantt for Qlik and check them out in action!
Read more at qlik.anychart.com »
January 19th, 2023 by Julien Blanchard, Meta
Over the past few weeks, I have been looking for a quick and effective way of representing the structural differences within a set of similar-looking short sentences.
To provide a bit of context, as we approached the end of 2022, my workmates and I got heavily involved in a planning phase for the new year to start. More specifically, we were asked to write a set of objectives and key results that would help drive a common strategy across our supported programs and pillars over the months to come.
And as expected, each and every one of us ended up leaving comments for every subtle change made to the couple of sentences that had initially been dropped into a shared document. As the comments started piling up, it quickly became quite tedious to follow and understand the slight modifications that were being made to our original set of objectives and key results.
As I started exploring what we could have done to better capture and visualise these changes, I recently found a way to display text data in a hierarchical way that I thought would be worth sharing.
Read the JS charting tutorial »
January 13th, 2023 by AnyChart Team
DataViz Weekly is our regular blog feature where we curate the most exciting charts, maps, and infographics we’ve recently come across. Today, we want to attract your attention to some cool visual stories published out there near the end of the last year, which we did not get a chance to spotlight before:
- Animal species extinction over time — Reuters
- Daylight optimization in the United States — FiveThirtyEight
- Top human names for dogs — The Washington Post
- Snowfall across the U.S. — William B. Davis
Read more »
January 6th, 2023 by AnyChart Team
Finally we are in 2023! May this new year be the best one for all of you!
Before getting too far into 2023, we thought it would be interesting to look back at 2022 in data visualizations. And the first DataViz Weekly in the new year seems like a nice occasion! Let’s say farewell to 2022 by recalling its hottest topics with the help of “year in graphics” features on Politico, The Post, NYT, and Bloomberg.
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December 30th, 2022 by AnyChart Team
2022 has been fruitful in terms of data visualizations for every taste and interest. On DataViz Weekly, we’ve shown you more than 200 awesome projects as great examples of effective charting and mapping in action. Today, in the year’s last edition, let’s look at the best data visualizations of 2022 through the eyes of third-party experts!
Find out which projects made it to the “best of the year” selections of Nathan Yau, DataJournalism.com, The Pudding, and Kenneth Field.
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December 29th, 2022 by Shachee Swadia
With data everywhere around, we should know how to graphically represent it to better (and faster) understand what it tells us. One of the most common data visualization techniques is column charts, and I want to show you how you can easily create interactive ones using JavaScript.
A column chart is a simple, yet powerful way to display data when you need to compare values. From this tutorial, you will learn to make its different variations — basic single-series, multi-series, stacked, and 100% stacked column graphs — and apply effective customizations in a few more lines of JS code.
As a cricket fan, I thoroughly watched the ICC Men’s T20 World Cup held last month in Australia. I decided to use some data related to the championship for illustrative visualizations. JavaScript column charts built throughout this tutorial will let us look into the batting statistics, and more precisely, the number of runs scored by the top 10 batsmen at the tournament. Let’s have fun learning!
Read the JS charting tutorial »
December 23rd, 2022 by AnyChart Team
While the Christmas spirit is already in the air, join us for a quick look at some amazing new data graphics that really caught our attention these days. And you’ll even know what Santa Claus has in common with Gandolf, Dark Lord Sauron, and Tom Bombadil. So, here’re the data visualizations featured in this DataViz Weekly:
- Inevitability of the super rich — The Pudding
- Adult illiteracy across the United States — ProPublica
- Carbon emissions footprint per household across the United States — The New York Times
- Intersections between Santa Claus and Tolkien’s characters — Tea with Tolkien
Read more »
December 23rd, 2022 by Awan Shrestha
There are various data visualization techniques designed to reveal insights that numbers alone just can’t. In this tutorial, we will see how to easily create a radar chart using JavaScript. It is an effective way to graphically represent multivariate data of several quantitative variables.
Writing the tutorial during the FIFA World Cup 2022, I could not resist taking some football data for a practical illustration. The JS radar chart examples built and customized here step by step will plot the number of goals three top players have scored for their clubs over the last six years: Lionel Messi, Cristiano Ronaldo, and Robert Lewandowski.
The whistle for kickoff is blown, and it all begins!
Read the JS charting tutorial »