# Archive for February, 2021

### Attacks on Press, COVID-19 Deaths, Infection Simulation, and U.S. Election — DataViz Weekly

February 26th, 2021 by AnyChart Team

Hey everyone, Friday’s here and with it, a new DataViz Weekly article is out! Look at some of the best data visualization projects we have come across out there this week:

• Exploring all attacks on journalists worldwide in 2020 — Geoff McGhee for CPJ
• Visualizing the scale of 500,000 COVID-19 deaths in the United States — Sam Hart, Reuters
• Simulating the spread of infection for different immunity scenarios — Thomas Wilburn, NPR
• Mapping every vote in the 2020 U.S. election — Kenneth Field

### Visualizing Information on Coronavirus, MiLB Teams, and Providence Buildings — DataViz Weekly

February 19th, 2021 by AnyChart Team

For us humans, data is usually easier to explore and analyze when it’s properly visualized. If you are looking for some good examples, you’ve come to the right place at the right time! DataViz Weekly is here to let you know about new great information visualizations.

Today on DataViz Weekly:

• Coronavirus vaccination pace, goals, and challenge — The Washington Post
• Coronavirus mutations and variants — The New York Times
• Distance to the nearest MiLB team in 2021 — Axios
• Age of buildings in Providence, RI — Chris Sarli

### How to Build Pareto Chart in JavaScript

February 16th, 2021 by Dilhani Withanage

Creating a Pareto chart with JavaScript for HTML5 apps and websites is not a complicated or hectic development process at all. Get hands-on experience with this tutorial and you will find data visualization in such a form joyful and exciting!

Before we start, let’s remember how Pareto charts look and what their purpose is, just to make sure we are on the same page. A Pareto chart, also a Pareto diagram, is a combination of vertical bars (columns) and a line graph. Columns are used to depict values and are displayed in descending order, left to right. The line in a Pareto chart shows the cumulative total in percentages. Such a visualization helps data scientists and analysts quickly identify the most important among a set of factors, i.e. those characterized by the largest values and therefore making the most significant contribution to the total across all the represented factors.

In this JS Pareto chart tutorial, we’ll be visualizing statistics for the leading causes of death in the United States in 2019 and find out what claimed the most American lives during that year according to official data.

Now let’s move to JavaScript charting, and more precisely, building an interactive Pareto chart using JS!

### Interesting Data Visualization Projects to Look at and Learn from — DataViz Weekly

February 12th, 2021 by AnyChart Team

Numbers have an important story to tell. They rely on you to give them a clear and convincing voice,” Stephen Few once said. That actually is the purpose of data visualization. On DataViz Weekly, we show you how this works in reality. Welcome to our new roundup of the most interesting data visualization projects we’ve recently found!

• Comparing live and studio versions of songs — The Pudding
• Historical wildfires in the U.S. West — Reuters
• Boston’s most desirable streets — MIT Senseable City Lab
• Inequality and COVID-19 vaccine allocation in America — GHJP Yale & C4SR Columbia

### Four New Awesome Data Visualization Examples for Inspiration — DataViz Weekly

February 5th, 2021 by AnyChart Team

Data visualization is our passion and we are glad to high-five all who share it! Welcome to DataViz Weekly! For all of you guys, we have curated another four new awesome interactive data visualization projects worth checking out. Glance at their list below and then take a closer look:

• WorldTour transfers during the 2020-2021 offseason — Carrie Bennette
• Precinct-level map of the 2020 U.S. election — The Upshot
• Representation of age generations in the U.S. Senate over time — wcd.fyi
• Healthy Streets Index for London — _STREETS

### Creating JavaScript Angular Gauge

February 3rd, 2021 by Shachee Swadia

Would you like to add another really cool and interesting chart to your data visualization portfolio? Follow this simple tutorial and you’ll learn how to create a beautiful and interactive Angular Gauge using JavaScript, with ease!

An Angular Gauge, also known as a Circular Gauge, is a type of gauge chart with a radial scale. Such visualizations can nicely show a value within a range and are widely used in various dashboards.

The recent good news of vaccines feels like music to our ears. So, I thought why not take some interesting music data for visualization in this tutorial! The 63rd annual Grammy Awards ceremony will be held in March 2021, and when I looked through the list of the Record of the Year nominees, I wondered how popular each of these songs is. To find out, I decided to look at the number of their streams on Spotify, one of the world’s leading music streaming platforms, and thought that a Solid Angular Gauge could work well in such a visual analysis. It also resembles a vinyl record, which makes it an especially interesting chart type to opt for when representing such data!

So, along the tutorial, I will be visualizing Spotify stream counts for each 2021 GRAMMYs Record of the Year nominee song in a JS Angular Gauge chart. That is going to be entertaining! All aboard!