What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 27 to February 2 finds The New York Times and Der Tagesspiegel tracking the spread of the Wuhan coronavirus, TED-Ed educating viewers on misleading graphs, and a baseball fan watching every 2017 home game of the Houston Astros baseball team to log each time they banged a trash can as part of a sign-stealing scandal.
How Bad Will Coronavirus Get?
How worried should we be about the 2019-novel coronavirus? The New York Times answers six key questions about the virus, including how contagious and deadly it is, how long it takes for infected people to show symptoms, and how effective the current public health measures are. It also visualized how fast the virus can spread, and compared its fatality rate in a chart with other infectious diseases.
calm, solid explainer in text and visuals. more like this is what public discourse (and journalism itself) needs. https://t.co/Gi0JLyRLep
— C.J. Chivers (@cjchivers) January 31, 2020
Tracking the Spread of Coronavirus
Since the 2019-novel coronavirus was first discovered in Wuhan, China, in December last year, it has now spread to at least 26 countries. Der Tagesspiegel used publicly available facts to try to reconstruct how the pathogen spread so quickly from ground zero.
Tolle Datenvisualisierung vom @Tagesspiegel: Die Verbreitung des Corona-Virus über die Zeit und Raum. Zeigt auch mal wieder wie nah Datenstruktur und Methoden in Epidemiologie und internationaler VWL sind. https://t.co/Rc0maH4Tqp
— Tobias Stöhr (@tostoehr) February 2, 2020
Digging into the Smartphone Tracking Industry
Last year, The New York Times got hold of a gigantic dataset that contained billions of location data from 12 million smartphone users, and showed how connecting that data to real names and people was child’s play. The Data Visualization Society spoke to Stuart A. Thompson, graphics editor for The New York Times Opinion, about the behind-the-scenes process of that investigation into the smartphone tracking industry.
Did you ever wonder how to visualize data on 12 million phones and 50 Billion "pings"?? Well, the New York Times' @stuartathompson reveals his working process as well as some of the inside story below! Thanks, Stuart! https://t.co/pdaoMLKm5l
— JasonForrest (@Jasonforrestftw) January 27, 2020
In a TED-Ed video from 2017, Lea Gaslowitz explains the various ways that graphs can be manipulated to mislead readers. She offers tips to spot such manipulations, such as distorted scales, cherry picking data, and leaving out the relevant context.
— Alberto Cairo (@AlbertoCairo) January 27, 2020
Baseball Sign-Stealing Scandal Used Trash Cans
The Houston Astros’ sign-stealing scandal rocked the baseball world when it was exposed in 2019 — an illegal scheme using electronics to steal opposing catchers’ signs and then tip off their own batters to what pitch was coming by banging on trash cans in the dugout. Tony Adams, a fan of the Astros, logged every bang of a trash can from every Astros home game with available video in 2017. He discovered there were bangs before at least 1,100 of the 8,200 pitches. The data can be found at signstealingscandal.com.
Using data from https://t.co/Q2rj9HFQ4y (hat tip to @gruber). Here is a visualization of the 2017 @astros sign stealing scandal. The #dataviz plots the use of the "bangs" throughout the season, and shows opponent frequency as well as games, pitches and win/loss percentages pic.twitter.com/mxdmT83C7k
— Anthony Starks (@ajstarks) February 1, 2020
Exploiting Water Resources
An investigation by Mexicanos Contra la Corrupción y la Impunidad shows how water — a national public resource — is bought, sold, and exploited in Mexico as if it were an abundant private good. The project dives into the failures in the concession system since 1992. (In Spanish.)
Esta es una EXCELENTE investigación de @MXvsCORRUPCION que debería atraer la mirada del presidente @lopezobrador_ y quienes deseen resolver la enorme injusticia en la distribución de agua. @mario_delgado @RicardoMonrealA @senadomexicano @Mx_Diputados https://t.co/hNnXOAqZc2
— Presunto Culpable (@PresuntoC) January 21, 2020
Women, LGBTIQ Rights Data Fellowship
OpenDemocracy is offering a six-month, full-time data journalism fellowship starting in March that will be focused on women’s and LGBTIQ rights. The fellow will be paid a stipend of $2,100 per month and will be expected to dedicate 40 hours a week to related research, reporting, data entry, data analysis, and other tasks for at least two major investigative projects. Deadline: February 16, 2020.
Come work with me as a data journalism fellow for @5050oD. We'll sharpen you data or storytelling skills and it's a paid remote working opportunity. Full time for six months at $2,100 stipend a month. Women & LGBTI folks strongly encouraged to applyhttps://t.co/6EVvjKKSTt
— Lydia Namubiru (@namlyd) January 27, 2020
Homicides in Mexico
From 2015 to 2019 , more than 120,000 case files were opened for homicides in Mexico. The latest figures show that the trend is far from declining. El Universal visualizes the trend by state and municipality. (In Spanish.)
El fenómeno de los homicidios en Mx es tan complejo que no podemos quedarnos con las cifras a nivel estatal. En @El_Universal_Mx analizamos el número de carpetas que se abrieron de 2015 a 2019 a nivel municipal. #ddj https://t.co/kajuPQt3zF pic.twitter.com/3YwsUE5ZNf
— Daniela Guazo (@danygm87) January 29, 2020
Mapbox Elections Launched
Mapbox recently launched Mapbox Elections, a resource to help individuals, journalists, and organizations cover the elections, analyze the results, and build modern maps to display it all.
We’re launching Mapbox Elections to help builders make modern election maps in 2020, at any scale. Available now: Ready-to-build tilesets of 2004-2016 presidential returns + demographic data, powered by Mapbox Boundaries. More to come. https://t.co/wdYETDXEo4 pic.twitter.com/02jNQxax7Z
— Mapbox (@Mapbox) January 28, 2020
Data Journalism Podcast (Brazil)
Colaboradados, a Brazilian data journalism podcast, looks back on the episodes it has produced over the past year. From interviews with big names in data such as Natalia Mazotte to talking Python with Professor Fernando Masanori, you can listen to all the episodes here and see a summary in this Twitter thread. (In Portuguese.)
Está no ar a #retrospectivacolaboradados2019!
Temos menos de um ano de existência, mas já fizemos muita coisa nesse tempo!
Vem com a gente conferir como foi o ano no #Coluna7, o seu podcast brasileiro de Jornalismo de Dados! pic.twitter.com/0PhLE2Nn3h
— Colaboradados (@colaboradados) December 30, 2019
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.