Discover and read the best of Twitter Threads about #DataJournalism
Most recents (14)
Today, Dataphyte’s Media Fellows begin a two-day virtual training session aimed at onboarding and re-introducing fellows to #DataJournalism practices, and its role as an advocacy and accountability tool for socio-economic development in Nigeria.
#Dataphyte #Datafordevelopment
#Dataphyte #Datafordevelopment
Training for the day kicked-off with an engaging session on Development Journalism: Data, Debts and Debunk.
This was facilitated by Taiwo Hassan Adebayo, Editor/Head, Investigations and Data, Premium Times Newspaper. @hazzanjustice
#Dataphyte #DataJournalism
This was facilitated by Taiwo Hassan Adebayo, Editor/Head, Investigations and Data, Premium Times Newspaper. @hazzanjustice
#Dataphyte #DataJournalism
The second session was led by @Jayangbayi, The Founder/ Publisher of @Dataphyte. It focused on The Value Chain of Accountability reporting.
In his exact words - "Accountability reporting must be accurate, independent, impartial, accountable, and show humanity”
#Dataphyte
In his exact words - "Accountability reporting must be accurate, independent, impartial, accountable, and show humanity”
#Dataphyte
Our new paper shows how 1 in 5 people categorically misinterpret bar graphs. A thread...
Press release: wellesley.edu/news/journalis…
Paper: jov.arvojournals.org/article.aspx?a…
#DataViz #DataJournalism #BarBarGraphs
Press release: wellesley.edu/news/journalis…
Paper: jov.arvojournals.org/article.aspx?a…
#DataViz #DataJournalism #BarBarGraphs
When shown a bar graph that depicts average values, 1 in 5 people think that the bar's tip is the outer limit of the data, rather than the balanced center point (the average), as if every individual value was below-average. We call this error the "Bar-Tip Limit Error."
How could decades of graph interpretation research have missed such a severe error? Our experience in psychological measurement led us to ask a more concrete, direct, detailed question than prior work.
Exclusive
A Bloomberg News investigation of more than 49,000 borrowers of CBILS shows that millions of taxpayers' money has been blindly loaned to companies with dubious credentials. This is the first large-scale investigation into CBILS: bloomberg.com/news/articles/…
#datajournalism
A Bloomberg News investigation of more than 49,000 borrowers of CBILS shows that millions of taxpayers' money has been blindly loaned to companies with dubious credentials. This is the first large-scale investigation into CBILS: bloomberg.com/news/articles/…
#datajournalism
The review shows that a business controlled by one of the U.K.’s richest financiers, John Beckwith, received a taxpayer-backed relief loan for about 3.7 million pounds — even though the company hasn’t been trading for years.
1/ Ever wondered how your local area has changed over half a century? Today, @ONS is releasing an interactive article covering some of the most interesting changes between 1961 and 2011 England & Wales censuses right down to a local/district level ons.gov.uk/peoplepopulati…
2/ This piece—developed by my colleagues @Annaekhoo (#DataJournalism) and @SamCtrl (#DataViz) from analysis by Amy Boyson (@ONS historical)—has been an opportunity to test some of the techniques we’re hoping to use to explore 100 years of change up to the most recent @Census2021
3/ In particular we've been exploring ways to use historical @OrdnanceSurvey maps painstakingly digitised by @natlibscotmaps as a background for the historical datasets. We hope this #steampunk-esque retro-innovation helps to bring the past to life...
Hoje é o Dia Mundial do Trabalho e, para comemorar a ocasião, nós disponibilizamos os dados do CAGED na BD+ para sua análise. 👷♀️
Com esses dados, nós criamos esses gráficos que traçam um panorama interessante sobre a média salarial e os tipos de contratação mais comuns no BR.
Com esses dados, nós criamos esses gráficos que traçam um panorama interessante sobre a média salarial e os tipos de contratação mais comuns no BR.
Veja que o primeiro gráfico demonstra, em um mapa, a média salarial no Brasil em 2019. Como foi a média salarial em seu Estado?📈 🔎
O segundo gráfico traça a evolução dos tipos de contratações mais comuns no Brasil, nesse mesmo ano.
O segundo gráfico traça a evolução dos tipos de contratações mais comuns no Brasil, nesse mesmo ano.
O Cadastro Geral de Empregados e Desempregados foi criado como instrumento de acompanhamento e de fiscalização do processo de admissão e de dispensa de trabalhadores regidos pela CLT, com o objetivo de assistir os desempregados e de apoiar medidas contra o desemprego.
Hi folks. I’m Disha. I’m a data reporter who investigated police use of force for 16 months.
I don’t usually publicly ask for help, but I need a job in the next 56 days or I won’t be eligible to work for 6-12 months.
Threading portfolio, jobs I can legally take, details. 1/n
I don’t usually publicly ask for help, but I need a job in the next 56 days or I won’t be eligible to work for 6-12 months.
Threading portfolio, jobs I can legally take, details. 1/n
My best work to date: force.nj.com, an award-winning database on police use of force in New Jersey, which, after publication, the attorney general purchased from us to use as a model for the state’s database. 2/n
I architected the database to make sure manually inputting over 70k records would yield usable results, just as I knocked on doors in towns with high rates of police use of force to do shoe leather reporting. Read the story: bit.ly/race-uof 3/n
Here's a thread with great #datajournalism on #COVID19. Please share and feel free to add suggestions at the end
1. 🇪🇸 As Spanish national government wasn't giving data on the # of tests, nonprofit @civio started to build its own dataset (in Spanish)
datos.civio.es/dataset/pcr-co…
1. 🇪🇸 As Spanish national government wasn't giving data on the # of tests, nonprofit @civio started to build its own dataset (in Spanish)
datos.civio.es/dataset/pcr-co…
2. 🦠 Africa could become the next epicenter of the new coronavirus pandemic, @WHO has said. Across the continent, there is less than one intensive care bed per 100,000 people, a @Reuters survey found.
By @McNeill_Tweets @khoureld and others
graphics.reuters.com/HEALTH-CORONAV…
By @McNeill_Tweets @khoureld and others
graphics.reuters.com/HEALTH-CORONAV…
3. ⚰️ For weeks @TheEconomist's @J_CD_T y @martgnz have been tracking excess deaths across countries and presenting them in this excellent page that everyone can read economist.com/graphic-detail…
There is much much more to #ddj on COVID-19 than modeling, infection rates and death counts. Here are some of my favorite stories that explain how the disease may impact marginalized communities around the world. For @jakubgornicki and @outrid3rs #datajournalism
From @Ojo_Publico a database of the companies making the tests and the machines that read them and what to watch out for ojo-publico.com/1741/biotech-g…
This from @malaysiakini on whether the Malaysian bailout is really going to help ordinary citizens m.malaysiakini.com/news/517288
データシェアは文書解析に使えるICIJの無料オープンソース・ソフトウェア。
最新情報は #ICIJDatashare をフォロー
データシェアって？→ bit.ly/39o8SHI 最新バージョンはここから bit.ly/32OcdMZ #データジャーナリズム #ddj #datajournalism 2/3
最新情報は #ICIJDatashare をフォロー
データシェアって？→ bit.ly/39o8SHI 最新バージョンはここから bit.ly/32OcdMZ #データジャーナリズム #ddj #datajournalism 2/3
Datashare is our free open-source software that helps you analyze your documents.
Follow #ICIJDatashare for more updates.
Wondering what Datashare is? bit.ly/39o8SHI
Get the latest free version: bit.ly/32OcdMZ #ddj #datajournalism 3/3
Follow #ICIJDatashare for more updates.
Wondering what Datashare is? bit.ly/39o8SHI
Get the latest free version: bit.ly/32OcdMZ #ddj #datajournalism 3/3
We used one of our newest tools for #LuandaLeaks – #Datashare – so reporters could easily search using lists of people, countries and organizations.
Want to try it out? Batch searches are made for you! It only takes *three* steps!
1. Export your list as a CSV ⤵️1/3
Want to try it out? Batch searches are made for you! It only takes *three* steps!
1. Export your list as a CSV ⤵️1/3
2. Upload your CSV file and pick your search settings (exact matches, etc.)
Here's how ⤵️ 2/3
Here's how ⤵️ 2/3
Get your results! ⤵️3/3
Wondering what Datashare is? bit.ly/37n9htq
Get the latest free version: bit.ly/32OcdMZ
Follow #ICIJDatashare for more updates – and if you have questions, reply below!😀
#ddj #datajournalism
Wondering what Datashare is? bit.ly/37n9htq
Get the latest free version: bit.ly/32OcdMZ
Follow #ICIJDatashare for more updates – and if you have questions, reply below!😀
#ddj #datajournalism
THREAD: How corrosive water, legacy lead plumbing, and dated testing methods have created hidden lead hot spots across Canada. Read the #TaintedH2O investigation here:
thestar.com/news/investiga…
thestar.com/news/investiga…
Removing lead plumbing — pipes and fixtures — is the only reliable way to eliminate the risk of lead in drinking water. The logistics, though, are complicated and the cost well beyond what local governments can bear. #TaintedH2O
thestar.com/news/investiga…
thestar.com/news/investiga…
How Toronto’s ‘five-minute flush’ undermines lead testing across the city #TaintedH2O
thestar.com/news/investiga…
thestar.com/news/investiga…
In the first of a ten-part data journalism series on city life in India, @sh_devulapalli analyzes congestion in 300 major arterial roads spread across six largest urban agglomerations of the country #PlainFacts
livemint.com/news/india/the…
livemint.com/news/india/the…
@sh_devulapalli In the second part, @sh_devulapalli takes a look at the public transport crisis in India and shows why we can't rely only on the metro to solve our #urban mass-transit challenge (even in Delhi, half the city doesn't have easy access to metro) #PlainFacts
livemint.com/news/india/ind…
livemint.com/news/india/ind…
@sh_devulapalli In the third part, @sh_devulapalli and @Howindialives analyze census data to find migration to southern metros rose in 2001-11 period, even as migrant flows to #Delhi and #Mumbai were ebbing [also most migration from urban areas of own states] #PlainFacts
livemint.com/news/india/mig…
livemint.com/news/india/mig…
#Thread 📢 Collaborer entre rédactions : bilan des journocamp data + local 📢
Par @DavidDieudonne de @googlenewslab
#FIL #Infolocale
Par @DavidDieudonne de @googlenewslab
#FIL #Infolocale
@DavidDieudonne ancien de l'@afpfr est arrivé chez Google avec un fort intérêt pour la presse régionale. Depuis 3 ans il anime des newslab pour donner des informations aux journalistes. 829 journalistes formés en école et rédactions depuis 3 ans.
#FIL #InfoLocale
#FIL #InfoLocale
#Ackshawlly, Trump won white women with college degrees by 29 points in Georgia in 2016 according to the exit polls, so that would be a spectacularly good performance by Abrams.
Granted the exit polls are a little screwy on education demographics so it may or may not actually have been that much. But you should probably look up that stat first before you tweet about the Matist number like it's bad for Abrams.
cnn.com/election/2016/…
cnn.com/election/2016/…
I'm going to share a #datajournalism secret with you: white people in the South are conservative.
