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!
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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!
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.
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:
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:
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.
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:
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!
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.)
COVID tracker StopCorona.info is using our JavaScript data visualization library to display up-to-date coronavirus statistics in compelling and insightful charts. (Read our interview with its creator to learn how.)
COVID-19 is a global emergency and the fight against it requires a joint effort. We at AnyChart cannot stay aside, too. With a lot of pandemic data out there, from numerous sources and with constant updates, it’s difficult to keep up with how the situation unfolds, let alone making sense of all relevant information in due course. But this is exactly where we can help, with our established charting solutions that can visualize any data on the fly.
We thought you should know we’re ready to give a full-featured non-profit license to all initiatives aiming to tackle the novel coronavirus outbreak. Moreover, we’ve already allowed one project – StopCorona.info – to use our JavaScript charting library for free.
Developed as a not-for-profit initiative by Diffco, a top Silicon Valley app development company, StopCorona is designed to bring transparency to the pandemic situation worldwide. To achieve that, it collects COVID-19 statistics from more than 20 reliable public open data sources, including WHO, CDC, ECDC, CCDC, and NHC to name a few. Now this enormous (and ever-expanding) set of coronavirus data is graphically represented in an analyst-friendly interface powered by AnyChart JS Charts.
As a global leader of data visualization and reporting tools, we at AnyChart were more than happy to support StopCorona by letting them use our award-winning JS charting library absolutely free, under a full-featured non-profit license.
If you guys are building a useful resource for COVID-19 data analytics, try AnyChart and apply for a free license, too. We will gladly provide you with complimentary access to our flexible data visualization solutions. In this way you will get the industry’s best charts for the web or mobile fully at your service, empowering your website visitors or app users to make sense of the myriad COVID numbers at a glance, with great ease.