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Data Vis Dispatch
November 8th, 2022

Data Vis Dispatch, November 8

The best of last week’s big and small data visualizations

Photo of Veronika Halamková, data vis writer at Datawrapper
Veronika Halamková

Welcome back to the 67th edition of Data Vis Dispatch! Every week, we’ll be publishing a collection of the best small and large data visualizations we find, especially from news organizations — to celebrate data journalism, data visualization, simple charts, elaborate maps, and their creators.

Recurring topics this week include U.S. midterms, rising temperatures, and the first full week of the #30DayMapChallenge.

The day of the U.S. midterm elections has finally arrived, marking the end of a massive political campaign. Data journalists across newsrooms have been busy charting forecasts, political donations, social media posts, key issues, and Election Day weather.

The Economist: Our midterm predictions point to major gains for the Republicans, November 4
Bloomberg: Out-of-State Money Is Flooding Midterm Races — and Drowning Out Local Issues, November 2
Bloomberg: Candidates Keep Pushing Election Denial Online — Because It Works, November 3
Pew Research Center: As the 2022 campaign draws to a close, here’s how federal, state and local candidates have used Twitter, November 2
The Financial Times: How Arizona became ground zero for election deniers, November 2
Reuters: Where voting has become more difficult, November 1
Pew Research Center: Turnout in U.S. has soared in recent elections but by some measures still trails that of many other countries, November 1
AXIOS Columbus: Abortions in Ohio decline post-Dobbs, November 3
The New York Times: A Surge of Overseas Abortion Pills Blunted the Effects of State Abortion Bans, November 1
The New York Times: Will Rain Affect Turnout Tomorrow? The Answer Is Cloudy., November 7

The U.K. published migration statistics from last year’s census that revealed an interesting 10-year trend.

The Guardian: One in six people living in England and Wales born outside UK, census reveals, November 2
BBC: Census: Migration biggest part of England and Wales population rise, November 3

The beginning of COP27, this year’s United Nations Climate Change Conference, brought the world’s attention back to the climate — from rising temperatures to the effectiveness of renewable energy.

The Financial Times: Heat will almost double death rates in poorer Pakistan than richer Riyadh, scientists report, November 5
Süddeutsche Zeitung: Frühsommer im Oktober, November 2
Neue Zürcher Zeitung: Windkraft in Deutschland: Grosse Versprechen, kleine Erträge, November 7
The Financial Times: The cost of getting South Africa to stop using coal, November 2

Ukraine is protecting its cultural heritage from the effects of the war. The country also reported a large decrease in energy production capacity since March of this year.

Bloomberg: How Ukrainians Are Protecting Their Centuries-Old Culture From Putin’s Invasion, November 3
Texty.org.ua: На 1 ГВт менше. Як змінилося споживання електрики після атаки на енергомережу, November 4

Other charts cover tech layoffs and data revealed by mandatory salary ranges for job listings in New York City.

The Economist: From Twitter to Meta, tech lay-offs are spreading, November 7
Bloomberg: NYC Employers’ Solution to Pay Transparency: $100,000 Salary Ranges, November 4

Now back to the #30DayMapChallenge and some of the most creative contributions of the week!

Antonia Blankenberg: “Most of my #30DayMapChallenge creations utilise @openstreetmap data, so I think I needed to add an interesting twist for today’s Data Challenge! This is the #MonaLisa recreated (roughly) from #OSM data surrounding the Louvre 🗺️🎨,” November 8 (Tweet)
Kylie Tokar: “According to @Esri, raster data is “a matrix of cells or pixels organized into rows and columns (or a grid) where each cell contains a value representing information” and for that reason, this is my submission to #30DayMapChallenge Day 7: Raster,” November 7 (Tweet)
Kate Berg/Pokateo Maps: “Exploring out how Greenland looks in ten different projections for #30DayMapChallenge Day 4 Green,” November 4 (Tweet)
Julian Hoffmann: “3D Raster Globe* | Day 8 – Raster #30DayMapChallenge *Just for fun. Made in #Blender3d with #geometrynodes and NASA’s blue marble satellite imagery,” November 7 (Tweet)
Jess Hepburn: “How wet is it really?☂️ The annual count of 10mm rainfall days (days where there is greater than or equal to 10mm rainfall) averaged from 1991 – 2020, ranging from 9 to 132 days! Data from @metofficeUK via @LivingAtlas. 30DayMapChallenge | Day 7 Raster,” November 7 (Tweet)
3D Geoinfo @ TU Delft: “30DayMapChallenge Day 8: OSM Data Building footprints available in OpenStreetMap. Follow this link to see the entire globe with the data,” November 8 (Tweet, Code)
Geography of Kenya: “30DayMapChallenge A hydrological map of Kenya. Rivers in Kenya flow from the highlands East & West of the Rift valley. Eastern rivers flow to Indian Ocean, Western rivers to Lake Victoria and a few rivers flow into Rift valley lakes. Which river(s) flow in your home County?” November 7 (Tweet)
beyondwatts: “A little fun with @openstreetmap data for #30DayMapChallenge Day 8 – #OpenStreetMap Looking forward to beer o’clock 🍻,” November 8 (Tweet)

What else we found interesting

Le Monde: Toutankhamon, les secrets du tombeau en infographie, November 1
USA Today: Can the clocks changing affect your mood? How to cope with the impact of a time change, November 5
The Washington Post: Why daylight saving time is worse for your body than standard time, November 6

Help us make this dispatch better! We’d love to hear which newsletters, blogs, or social media accounts we need to follow to learn about interesting projects, especially from less-covered parts of the world (Asia, South America, Africa). Write us at hello@datawrapper.de or leave a comment below.

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Photo of Veronika Halamková, data vis writer at Datawrapper
Veronika Halamková
(she/her, @v_halamkova) was a data vis writer in the Communications team between 2022 and 2023. She lives in Berlin and created and wrote beautiful data visualizations. Before Datawrapper, she worked in the data team at Tortoise Media.

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