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
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!
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.
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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
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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.
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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.
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.
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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
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
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!
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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