Visualizing COVID Statistics and Data About Each Berlin Tree — DataViz Weekly
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
- Categories: Data Visualization Weekly
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StopCorona Creator Shares How They Visualize COVID-19 Data Using AnyChart
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.)
- Categories: AnyChart Charting Component, Big Data, Charts and Art, HTML5, JavaScript, Success Stories
- 3 Comments »
Charting COVID-19 Data and Models — DataViz Weekly
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
- Categories: Data Visualization Weekly
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COVID-19 Vaccine, Future, Impact, and Non-COVID Wiki Atlas Visualizations — DataViz Weekly
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
- Categories: Data Visualization Weekly
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Creating Choropleth Map Data Visualization Using JavaScript, on COVID-19 Stats
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 »
- Categories: AnyChart Charting Component, AnyMap, Big Data, HTML5, JavaScript, JavaScript Chart Tutorials, Tips and Tricks
- 2 Comments »
New COVID-19 Data Visualizations — DataViz Weekly
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
- Categories: Data Visualization Weekly
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Mills College Uses AnyChart JS Charts for Student Success Data Visualization
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.)
- Categories: AnyChart Charting Component, HTML5, JavaScript, Success Stories
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Qlik Sense Timeline Chart and More New Features in AnyGantt Extension V 4.1.244
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 »
- Categories: AnyChart Charting Component, AnyGantt, Big Data, Business Intelligence, Gantt Chart, News, Qlik
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New Interesting Graphics on Climate Change, Media Credibility, Hospital Occupancy, and Job Losses — DataViz Weekly
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
- Categories: Data Visualization Weekly
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1918 Spanish Flu Pandemic in Data and Charts — DataViz Weekly
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.
- Categories: Data Visualization Weekly
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