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
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
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
Another long seven-day wait is over, and DataViz Weekly‘s already here to introduce you to new awesome data visualizations we have met these days around the Web. Let’s see what we’ve got this time!
- COVID-19 growth rates in each U.S. county — Benjamin Schmidt
- World development indicators — The World Bank
- Timelines for new and all current federal judges — ProPublica
- Colors of the U.S. election maps on different media — SBS News
Visualizing Data About Energy Mix, Subreddit Posts, Hate Crimes, and McDonald’s Ice Cream Availability — DataViz WeeklyNovember 13th, 2020 by AnyChart Team
DataViz Weekly is back — check out some of the most interesting third-party data visualization projects we have recently come across! Let’s start with a quick list and then take a closer look at each:
- Electricity generation in America since 2001 — NYT
- Subreddits in word clouds — Mais Hatem
- Hate crimes in the United States — UCLA
- McDonald’s ice cream machine status — Rashiq Zahid
20+ Electoral Maps Visualizing 2020 U.S. Presidential Election Results — DataViz Weekly Special EditionNovember 6th, 2020 by AnyChart Team
All eyes on election maps! Yes, they could be misleading. And even widely misleading. But it can be at least so fascinating to look at them, especially at times like this! So, we have curated a list of over twenty reputable resources — as of now, to be precise, 24 and counting! — where you can watch the live results of the 2020 United States Presidential election in compelling data visualizations. At the same time, it is a great chance for you to investigate and understand how election maps (and some other graphics) can look and work in practice.
Vote counts may be different on different platforms and update as more data becomes available out there — it’s absolutely okay. The election results are still partial. Over the coming days, all numbers will be adjusted to match the real, final vote count. Just in case: We’ve added only reliable sources — notable, reputable media outlets.
Without further ado, check out maybe the most important data visualizations these days! (Electoral vote count numbers in the text last updated on November 9th, 2020, for each source.)