May 18th, 2020 by AnyChart Team
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.
Read more about StopCorona »
May 15th, 2020 by AnyChart Team
Check out new interesting examples of charting COVID-19 data in action. We have seen a lot of visualizations over the past few days and selected the following projects to share with you today in DataViz Weekly:
- Fatality models for the United States – FiveThirtyEight
- Impact on climate change – Bloomberg Green
- (Now broken) correlation between the stock market and unemployment rates in America – The Washington Post
- Situation in Spain – The New York Times
Read more »
May 8th, 2020 by AnyChart Team
Without any exaggeration, the vast majority of data visualizations made public these weeks (and already months) are about the novel coronavirus pandemic. In compliance with the general trend, three of the four projects presented in the new DataViz Weekly article shed light on issues related to COVID-19. Take a glance at a quick list of the featured data visualization works and read more to meet them.
- COVID-19 vaccine development timeframe and how to reduce it – NYT
- COVID-19 future, in playable simulators – M. Salathé & N. Case
- COVID-19 impact on traffic and air pollution in Europe – European Data Portal
- Atlas of places featured in Wikipedia – T. Noulas, R. Schifanella, D. Sáez-Trumper & J. Tan
Read more »
May 6th, 2020 by Anastasia Zoumpliou
These days you see choropleth maps in a variety of webpages and utilized for various subjects. Have you wondered how such data visualizations are built? Are you interested in making them by yourself? If so, stay with me through this JS charting tutorial, where I will show you how to create an interactive JavaScript choropleth map from scratch but with ease.
Basic knowledge of HTML5 and JS is always helpful, but even if you are a beginner in this field, understand these four simple steps and you will be able to quickly get a good-looking cross-platform interactive choropleth map data visualization for your app or website!
What exactly are choropleth maps? When you break down the word, you see that choro- (“choros”) means “area” and pleth- (“plethos”) means “multitude.” Exactly, these maps are used to visualize statistical data related to multiple geographic areas. Each area is colored or shaded differently according to the value of the given data, making it easy to grasp how a measurement varies across a territory.
For this JS mapping tutorial, I will use open COVID-19 data to show the distribution of confirmed cases and deaths around the world by country. I will start with a basic choropleth map that will graphically represent the confirmed cases. Then I will add a legend, customize the tooltip, and add bubbles to visualize the number of deaths.
Let’s get started!
Read the JS charting tutorial »
May 1st, 2020 by AnyChart Team
It’s Friday, May 1, and we invite you to take a quick look at the fresh DataViz Weekly selection of cool charts and maps. This article presents the following new COVID-19 data visualizations we have come across this week:
- Discovering excess deaths from COVID-19 — FT
- Exploring NYC sidewalk widths through the prism of social distancing — Meli Harvey
- Analyzing coronavirus search trends — Schema Design, Google News Initiative and Axios
- Visualizing demographic and economic data for COVID-19 impact planning reports — U.S. Census Bureau
Read more »
April 29th, 2020 by AnyChart Team
Myriads of enterprise-level software developers rely on our award-winning JavaScript data visualization library to build comprehensive reporting and analytics applications. However, AnyChart is also widely chosen to operate basic charts. One example of such a use case is a visualization of student success metrics at Mills College, a famous American higher education institution attended at different times by filmmaker Sofia Coppola, musician Dave Brubeck, and Congresswoman Barbara Lee among other great people.
We interviewed Angelique Felgentreff from Mills College to get you first-hand information about their experience using charts powered by AnyChart. (Stack: OmniUpdate OU Campus/PHP.)
Read more »
April 24th, 2020 by AnyChart Team
Hey Qlikkies, meet the awesome Qlik Sense Timeline Chart from AnyChart! We are excited to deliver it in the new, just-released version of our AnyGantt extension.
Hence the Timeline Chart has become — wait for it — the 40th chart type available in our data visualization extensions for Qlik Sense overall! For AnyGantt specifically it is the 3rd one, making AnyGantt a unique, cutting-edge Project Management Bundle for Qlik now comprising the Project Gantt Chart, Resource Chart, and Timeline Chart in a single intuitive extension.
However, it is not all great news. Release 4.1.244 also brings a bunch of other awesome features and improvements to the AnyGantt extension.
Read more at qlik.anychart.com »
April 24th, 2020 by AnyChart Team
Continuing our series of regular DataViz Weekly articles highlighting new interesting graphics from all over the web, here’s what data visualization projects we picked to show you this time:
- Climate change in your city by 2070 — National Geographic
- New American media credibility ratings — Morning Consult
- Hospital bed occupancy in Germany — University of Konstanz
- Low-income job losses across the United States — Urban Institute
Read more »
April 17th, 2020 by AnyChart Team
While the world keeps fighting the coronavirus disease outbreak, we have seen a number of attempts to draw analogies between the COVID-19 and previous influenza pandemics. Inspired by a recent National Geographic article by Nina Strochlic with graphics from Riley D. Champine, today we invite you to find out (or remember) what the 1918 Spanish flu pandemic looked like and what lessons it may offer to cope with the current crisis.
For this new DataViz Weekly, we have curated four researches on the 1918 flu pandemic in the United States. Focusing on an analysis of nonpharmaceutical interventions (NPIs) such as social distancing measures and their role, these studies contain a lot of diverse data and charts. They are worth checking out if you’re interested in the subject of epidemics or in data science, analytics, and visualizations as such.
Read more »
April 15th, 2020 by AnyChart Team
Within the framework of our series of tutorials explaining in detail different aspects of building a Gantt chart in Qlik Sense, we are glad to share a new quick visual manual. This one describes how to color a Project Gantt chart in the AnyGantt extension for Qlik Gantt charts.
Join us as in this tutorial we are going to make it completely clear how to color all main parts of Project Gantt charts: elements, chart area, table cells, table header, and timeline levels. In addition, you can see tutorials about labels, tooltips, and reference lines and ranges — they can also be colored. (Those about tooltips and reference lines and ranges are coming soon. Meanwhile, check out the AnyGantt extension’s documentation or ask our support engineers for assistance.)
For your convenience, this tutorial is available in two versions. Check it out as a video with a voice over or keep reading the alternative, text+pictures version.
Read more at qlik.anychart.com »