Impressive New Data Graphics on Abortions, Homes, Names, Land — DataViz Weekly
March 11th, 2022 by AnyChart Team
DataViz Weekly is here with another batch of impressive data graphics worth looking at and exploring! Today, we are eager to tell you about the following four new projects:
- Burden of abortion across the United States — FiveThirtyEight
- Real estate investor activity in the 40 major American cities in 2021 — The Washington Post
- Historical popularity of baby names in the U.S. since the 1880s — Namerology
- Australia land cover in detail — Geoscience Australia
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Most Interesting Visualizations to Check Out and Learn From — DataViz Weekly
March 4th, 2022 by AnyChart Team
We are glad to continue our DataViz Weekly blog feature where we curate some of the most interesting and topical visualizations from around the internet. Check out a new selection:
- Russia–Ukraine conflict in maps — Lisa Charlotte Muth’s thread on Twitter
- The world’s most popular languages — Al Jazeera
- Dividing the U.S. by equal populations — Engaging Data
- Lifestyle changes during COVID-19 lockdowns — The Guardian
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Beijing Olympics Medal Trackers — DataViz Weekly
February 25th, 2022 by AnyChart Team
Following sixteen days of thrilling, action-packed competition, the Beijing 2022 Winter Olympics officially came to an end on Sunday, February 20. Norway finished at the top of the leaderboard, with 16 gold and 37 total medals won by its athletes at the Games.
During the Tokyo 2020 Summer Olympics that took place just six months before, we published a special edition of DataViz Weekly looking at four awesome medal trackers produced by The New York Times’s The Upshot, Bloomberg, Axios, and FiveThirtyEight. These interactive data visualization projects were brought back for the Beijing 2022 Winter Olympics. So now, we invite all lovers of charts and sports to look at their newest editions. They offer a frictionless way to explore medal counts and country standings after the Games with the help of stunning visualizations.
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Check Out These Great New Visual Data Stories — DataViz Weekly
February 18th, 2022 by AnyChart Team
Eager to see some great visualizations? We’re here to tell you about four new data stories that are definitely worth checking out! See which projects made it to this DataViz Weekly and read on.
- Bubble tea versions in a visual breakdown — Taiwan Data Stories
- Age of democracies worldwide — Our World in Data
- Women in news headlines — The Pudding
- Redlining’s lasting legacy — FiveThirtyEight
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Recalling Most Awesome Recent Data Visualizations — DataViz Weekly
February 11th, 2022 by AnyChart Team
It’s Friday, time to recall the most awesome data visualizations of all that have caught our attention over the past week. So everyone, welcome to DataViz Weekly!
- Decline of English on Spotify — The Economist
- English Premier League contenders for the Champions League qualification — The Athletic
- Carbon footprint of food — Der Tagesspiegel
- Air temperature change in every U.S. county — The Guardian
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Best New Charts and Maps Not to Miss — DataViz Weekly
February 4th, 2022 by AnyChart Team
Are you sure you have seen all the best new charts and maps? Let’s see. Check out our new DataViz Weekly roundup and make sure you have not missed these four fascinating data visualization projects!
- Accuracy of Punxsutawney Phil’s and other animal meteorologists’ weather predictions — FiveThirtyEight
- The coldest day of the year across the United States — NOAA NCEI
- Tom Brady’s stellar career in American Football — The Upshot
- Budapest street names — ATLO
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Visualizing Data on Income, Volcano Eruption, Shopping, Climate — DataViz Weekly
January 28th, 2022 by AnyChart Team
Continuing our regular roundups of the most interesting charts, maps, and infographics, we are glad to spotlight a bunch of new awesome projects for your inspiration. Today on DataViz Weekly:
- Americans’ annual personal income — Nathan Yau
- Tonga eruption’s true scale — Reuters
- High street crisis in Great Britain — The Financial Times
- Climate change drivers and sufferers — Der Tagesspiegel
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Amazing Data Visualization Works Worth Seeing — DataViz Weekly
January 21st, 2022 by AnyChart Team
DataViz Weekly is here to let you know — and get excited — about the four most amazing data visualization works we have come across out there just about now. They are:
- Roadway traffic stress on bicyclists in Boston — Boston Transportation Department and Toole Design Group
- Shopping search behavior patterns for the pandemic era — Schema Design, Google Trends, Axios, and Alberto Cairo
- Thoughts and feelings about immigration in Europe — Federica Fragapane, Alex Piacentini, and ODI
- Raindrop flow path — Sam Learner
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Most Stunning New Data Visualization Projects from Around Web — DataViz Weekly
January 14th, 2022 by AnyChart Team
Thanks to your highly positive feedback, we are fully determined to continue DataViz Weekly in the year 2022, a series where the most stunning new data visualization projects are showcased and talked about. So, are you ready for it? Look what made us excited just recently and read on to learn more:
- FIDE World Chess Championship 2021 — FiveThirtyEight
- Slaveholders in the U.S. Congress — The Washington Post
- New COVID-19 cases in the United States, spiralized — The New York Times Opinion Section
- Energy, environment, policy, and society across the U.S. — Rice University’s Baker Institute for Public Policy
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Best Data Visualizations of 2021 — DataViz Weekly
January 7th, 2022 by AnyChart Team
In 2021, there were 53 Fridays. It means a total of 53 DataViz Weekly roundups came out during the year, putting a spotlight on some of the most interesting charts, maps, and infographics from around the web. Today, on the first Friday of 2022, we invite you to remember — or get to know in case you missed something — the very best data visualizations of 2021.
As in previous “best of year” collections (2020, 2019, 2018), we decided not to reinvent the wheel but to take a quick look at renowned experts’ picks. Now, check out four lists of the best projects — from Nathan Yau, Kenneth Field, Terence Shin, and DataJournalism.com.
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