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GIJN’s Data Journalism Top 10: Forecasting Elections, Counting Fast Food, Kampala’s Swamp City, Gasping for Air

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 22 to 28 finds @NateSilver538 talking about election forecasting, @BBCNews highlighting the prevalence of fast food outlets in the UK, @washingtonpost comparing how tough it is for Americans to vote by state, and  @business and @HowWeGetToNext on battling for fresh air in India and Europe.

Nate Silver on Election Forecasting

Ezra Klein talks to FiveThirtyEight founder Nate Silver about how he builds his forecasting models, whether there’s a purpose to predicting election outcomes, which campaign reporters he reads and whether Trump is the favorite for 2020.

The High Cost of Pollution in India

Bloomberg profiles India — home to the world’s 10 most polluted cities. The country’s air pollution has been linked to ailments from asthma to heart disease and lung cancer, contributing to the deaths of more than 1.1 million Indians in 2015.  Healthcare fees and productivity losses from pollution also cost India as much as 8.5 percent of GDP, amounting to about $221 billion every year.

https://twitter.com/DavidInglesTV/status/1054247733379260418

UK’s Growing Fast-Food Outlets

Despite UK town halls trying to limit the spread of fast food outlets, figures from the Office of National Statistics show that the UK has seen a 34 percent increase in such outlets from 2010 to 2018. BBC highlights research that suggests people most exposed to fast food are nearly twice as likely to be obese.

How Easy Is It for Americans to Vote?

Washington Post created an interactive for Americans in each state to find out how easy or difficult it is to exercise their right to vote based on voting registration, restrictions, requirements and wait times. These factors affect the voting turnout and may even discourage people from voting.

Turkey’s New Data Bulletin

Turkey’s Data Literacy Association now produces a weekly bulletin with updates on data literacy, open data and data journalism developments around the world. Subscribe here. The association also held their first general assembly just last week, here’s their recap. (In Turkish)

UX Knowledge Base Sketches

UX (user experience) designer Krisztina Szerovay regularly draws UX knowledge base sketches, covering a wide range of topics, from cognitive bias to data modeling.

Kampala’s Swamp City

The annual Uganda WASH Media Awards just honored excellent reporting on Water, Sanitation and Hygiene (WASH). Top prize: @Code4Africa’s supported #ddj project Swamp City on how urbanization destroyed a critical Kampala wetland, written by Annika McGinnis and Fredrick Mugira. By the way, Code4Africa has vacancies for part-time data journalism trainers.

The Battle for Fresh Air in Europe

National governments frequently conspire to block pollution restriction measures that would undeniably save lives. Corin Faife discusses the efforts made by EU states to reduce air pollution and their shortcomings.

Young Lives in Grand Est

Webullition analyzed which areas in the Grand Est region of France attract more young people between the ages of 15 and 29, and the factors influencing the young population to settle in these areas. (In French.)

Talking Data Journalism with Reuters Institute Fellow

“Data gives us facts, and this is ever more important in times of fake news,” Reuters Institute for the Study of Journalism fellow Bettina Figl on data journalism said in the Tüv Nord Group #explore series. (In German.)


Thanks, once again, to Marc Smith of Connected Action for gathering the links and graphing them.

Eunice Au is GIJN’s program coordinator. Previously, she was a Malaysia correspondent for Singapore’s The Straits Times, and a journalist at the New Straits Times. She has also written for The Sun, Malaysian Today and Madam Chair.

 

For a look at Marc Smith’s mapping on #ddj on Twitter, check out this map.

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When using data for investigative stories, it is important to learn how to obtain and clean the information. But it is also vital that you interpret your findings correctly and extract the right conclusions from the numbers, filters, and spreadsheets. If you do the math correctly but fail to read the answers properly, you may end up misleading your audience.