Each week throughout the 2020 year, we curated the most interesting data visualizations from around the Web and introduced them to you in the DataViz Weekly roundup. Now is the time to look at the best of the best! We will hand you over to distinguished experts — Nathan Yau, Alli Torban, Lea Pica, Kenneth Field, and the GIJN team — who have already made their (brilliant) choices. Meet their picks for the best data visualizations of 2020!
2020 was strange. It was difficult. But it was. Happy New Year everyone! 🎉
Even though 2020 was not that bad in everything, we all hope, of course, that 2021 will be (much) better. Let it be so! But before we dive into the new one, let’s take a glance back and remember 2020 as is, with the help of great data visualizations.
The January 1st issue of DataViz Weekly invites you to look through the lists of the charts included in the year-in-review features on Visual Capitalist, Recode by Vox, FiveThirtyEight, and The Economist. Sneak a peek, and then check out the graphics.
Merry Christmas everyone (who’s celebrating)! 🎄 Meanwhile: COVID, election, and environment — the topics quite symbolic for this year are in the spotlight of today’s, the year’s last DataViz Weekly. Don’t miss out on some of the latest best data visualizations!
Look at the list of projects featured on DataViz Weekly this time and keep reading to learn more about each:
- Winners of the 2020 U.S. election by funding from Wall Street — Bloomberg
- COVID-19 infection rates in prisons by state — The Marshall Project
- Novel coronavirus strains in evolution worldwide — Reuters
- River colors across the United States — Gardner Hydrology Lab at Pitt
Also known as Mekko charts and market maps, Marimekko charts display numerical values that vary from 0% to 100% in its Y-axis. The most exciting part lies in their X-axis, which indicates the sum of values within categories. Each category’s width along the X-axis portraits the whole category’s contribution to a total of all data. In simple words, this is a type of a stacked chart that visualizes categorical data. Still, both the Y and X axes vary in a percentage scale by determining each segment’s width and height.
Are you a smartphone enthusiast and interested to look at the global smartphone shipments in 2019 by quarter and by vendor? Then especially follow the present tutorial as we are to visualize this market data in an elegant Marimekko diagram using simple JS chart coding techniques.
Get ready for another dose of amazing charts and maps! DataViz Weekly‘s here to show you a set of new projects featuring graphics that make data talk — excellent examples of data visualization in action!
Here are this week’s picks:
- Over 200 years of migrations in the American South — Edward Ayers, Nathaniel Ayers & Justin Madron
- NBA fouls and violations, by referee — Owen Phillips
- U.S. unemployment change, by occupation — Nathan Yau
- U.S. hospital COVID-19 bed occupancy — Carlson School of Management at UMN
Welcome back to DataViz Weekly, where we overview the best new data visualizations created by professionals. As always, let’s begin with a list of the projects we’re excited to put a spotlight on, and then take a closer look at each:
- Exploring letter communication networks of the Tudor government in the 16th century — Kim Albrecht, Ruth Ahnert & Sebastian Ahnert
- Tracking the most promising coronavirus vaccines — Bloomberg
- Defining “essential” and “frontline” workers for vaccination — NYT
- Understanding the U.S. energy use evolution since 1800 — RDCEP, UChicago
My JS sunburst chart provides an overview of the situation as of November 24, 2020, and also shows the global count, continent-wide data, and country-wise proportions for the current active COVID-19 cases and deaths. Scroll down to explore it by yourself and check out the tutorial along the way. Here is a sneak peek of the final chart to get you excited:
Hey everyone! Continuing to curate the best charts, maps, and infographics from around the Internet, we invite you to meet four fresh great data visualization projects worth checking out.
Today on DataViz Weekly:
- Visualizing the ways the Thanksgiving turkey leftovers were used — Nathan Yau
- Understanding the scale of 250,000 deaths from the coronavirus — The Washington Post
- Finding a correlation between scented candle reviews on Amazon and COVID-19 — Kate Petrova
- Evaluating tree equity in American city neighborhoods — American Forests
If you love good data visualizations, you’ve come to the right place at the right time! Every Friday, we choose the four most interesting projects making good use of charts and maps, from those we have come across out there just lately, and introduce you to them. Here are the visualizations we’re going to tell you about this time on DataViz Weekly:
- (False?) dichotomy between saving lives and saving the economy during the second wave — Michael Smithson on The Conversation
- COVID Resilience Ranking revealing the best and worst places to stay during the pandemic — Bloomberg
- Length of summers in Spain since 1950, by municipality — Predictia
- The most popular Thanksgiving pie in each state — Instagram
Leading the data visualization market with the best-in-class solutions, we are always excited to see how not only companies but also individuals from all over the world use them to produce interactive charts in their projects. Here’s one new interesting example we’ve recently learned about. Mais Hatem from Syria, currently an undergraduate at the American University of Beirut (Lebanon), created “Cloud a Subreddit,” a web project that generates a beautiful interactive Word Cloud chart out of any given Reddit’s subreddit with the help of the AnyChart JS library.
We had a quick interview with Mais where she told us more about her work and experience using AnyChart. Check it out.