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Data Journalism

GIJN’s Data Journalism Top 10: European Election, Data via Audio, Tax Fraud & Parserator

by Eunice Au & Connected Action • June 6, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from May 27 to June 2 finds immense buzz around the recent European Parliament elections, with @SZ explaining the EU political landscape, @morgenpost looking at the results in Berlin, and @journocode collecting data journalism pieces related to the election. There’s also @datajournalism’s tips on presenting data through audio and @BIRNSrbija’s data investigation into major corporate tax fraud in Serbia.

Data Journalism

GIJN’s Data Journalism Top 10: Game of Thrones Deaths, Visualizing Rich Hungarians, European Parliament

by Eunice Au & Connected Action • May 30, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from May 20 to 26 finds @PostGraphics’ meticulous cataloguing of all on-screen deaths in Game of Thrones, @datajournalism’s tips on covering the crime beat, @DIEZEIT’s analysis of a politically diverse European parliament, and a quick beginner’s guide to learning data visualization by @AlliTorban.

Data Journalism

GIJN’s Data Journalism Top 10: Moscow Garbage, Mexican Homicide, EU Ideologies

by Eunice Au & Connected Action • May 23, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from May 13 to 19 finds a preview snippet on sensible charts from @albertocairo’s upcoming book “How Charts Lie,” @ladatamx’s report on homicides in Mexico, @RepublikMagazin’s analysis on the changing ideologies of political parties in the European Union, and a recap of the Data Journalism UK conference by @paulbradshaw.

Data Journalism

Eight Simple Ways to Let the Spreadsheet Do the Math So You Can Focus on the Story

by Brant Houston • May 21, 2019

With just a spreadsheet, a journalist can let the software do the counting and calculating, allowing them to concentrate on the purpose and result of their inquiry. It also opens the door to understanding more advanced statistics, and the use or misuse of statistics by governments and businesses.

Data Journalism

Struck by Lightning: A Quick Lesson on Cleaning up Your Data

by Veer Mudambi • May 17, 2019

Being struck by lightning is often used as an example of heavenly retribution because it is so unlikely. Fatalities due to lightning are statistical outliers, since most people struck by lightning survive. So what is the best way to avoid becoming one of these outliers? The following is a step-by-step set of instructions for unpacking a dataset – and being careful about the conclusions we draw.

Data Journalism

GIJN’s Data Journalism Top 10: Weak Passwords, Wolf Drama, Chart Chooser, London vs. England

by Eunice Au & Connected Action • May 16, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from May 6 to 12 finds @SteveFranconeri’s chart chooser based on data formats instead of visualization functions, @daswasfehlt’s examination of Austrian politicians’ weak email passwords in the wake of a major data leak, @NZZ’s look at whether wolves are really a nuisance in Switzerland and @wihbey’s research into the data competence and partisanship of journalists.

Data Journalism

GIJN’s Data Journalism Top 10: Populism Popularity, DataViz Pedagogy, National vs. Local Media, German Migration

by Eunice Au & Connected Action • May 9, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from April 29 to May 5 finds @zeitonline mapping German migration post-reunification, @FILWD pointing out the gaps in current data visualization teaching syllabi, @AlJazeera launching its data journalism introductory guide, and @WSJ highlighting the stark divide between national and local media in the United States.

Data Journalism

Six Case Studies in Computational Journalism

by Gibby Free • May 8, 2019

How often is social media used as a source in news stories? Can a decision tree algorithm generate tens of thousands of 250-word stories? And what is belief-driven data journalism? These questions were at the heart of some of the promising projects featured at the 2019 Computation + Journalism Symposium.

Data Journalism

GIJN’s Data Journalism Top 10: History of Infographics, Colorism in Fashion, Weather Trends

by Eunice Au & Connected Action • May 2, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from April 22 to 28 finds an interesting breakdown of colorism in fashion by @puddingviz, a series of gorgeous maps on natural disasters and extreme weather trends in the United States by @PostGraphics, a preview of a book on the history of infographics by @srendgen, and @UpshotNYT’s recap of its best articles from the past five years.

Data Journalism

GIJN’s Data Journalism Top 10: Data Feminism, Blockchain for Investigations, Train Speeds, EU DataViz Conference

by Eunice Au & Connected Action • April 25, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from April 15 to 21 finds an informative interactive tool about the health of our generation by @srfdata, a piece by academic @wsaqaf explaining how journalism can utilize blockchain for investigations, data visualization teaching materials by @R_Graph_Gallery, and a book draft on data feminism by @kanarinka and @laurenfklein.

Data Journalism

GIJN’s Data Journalism Top 10: AI-Powered Investigations, Why Companies Donate, Data From PDFs, UK Pay Gap

by Eunice Au & Connected Action • April 18, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from April 8 to 14 finds a zine focused on machine learning-powered investigative journalism produced by @bxrobertz, a video explainer from @FT on whether big corporations are really generous or just avoiding taxes, @knowtheory and @amandabee reviewing seven optical character recognition tools and @workbenchdata offering a tutorial on visualizing @Twitter data.

Data Journalism

GIJN’s Data Journalism Top 10: Copycat Laws, Melting Ice, Rwanda’s Genocide Trials, Data Do’s and Don’ts

by Eunice Au & Connected Action • April 11, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from April 1 to 7 finds @JuliaAngwin sharing do’s and don’ts of data journalism projects at @journalismfest, @elconfidencial highlighting the negative effects on Spain’s economy if women stopped working for a day, @azcentral and @USATODAY revealing just how many bills in the United States are copied from model legislations, and @justiceinfonet visualizing data on trials for the Rwandan genocide.

Data Journalism

GIJN’s Data Journalism Top 10: Visualizing Air Raids, Dictator Decrees, Dataviz Crimes, Random Samples

by Eunice Au & Connected Action • April 4, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 25 to 31 finds @ajlabs visualizing air raids through sound, @infobae exposing secret dictatorship decrees in Argentina, @albertocairo presenting on how charts can be misleading and how to fix them, and @TheEconomist laying bare the “crimes” against data visualization they have committed.

Data Journalism

Be Careful What You Report: Why Data Collection Matters

by Heather Krause • March 29, 2019

The figures for Canada’s Jewish population dropped by half in five years. But nothing happened to this Jewish population. Rather, this is a perfect example of how careful we must be about data collection methods.

Data Journalism

GIJN’s Data Journalism Top 10: Populism Quiz, EU Fact-Checking, Twitter Data, GitHub 101

by Eunice Au & Connected Action • March 28, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 18 to 24 finds a collection of beautiful news graphics by Megan Jaegerman curated by statistician @EdwardTufte, @tagesanzeiger’s quiz testing readers’ level of populist leanings, a new collaborative fact-checking effort by the name of @FactcheckEU, and @briromer’s interesting piece on maps that break strict geography rules.

Data Journalism

GIJN’s Data Journalism Top 10: France’s Shocking Yellow Vest Injuries, Yield Curve Music, Migration Maps

by Gaelle Faure & Connected Action • March 21, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 11 to March 17 finds @davduf’s award-winning exposé of Yellow Vest injuries in France, @theboysmithy making music out of the yield curve, and @alisonkilling on mapping two fictional migrants’ journeys to Europe.

Data Journalism

Earthquakes, Floods, Vanishing Schools & Missing Kids: The Year’s Top Data Journalism from China

by GIJN Staff • March 20, 2019

GIJN invited data scientists and experts who have been focusing on data journalism in China for years to select the most noteworthy data news of 2018. Here’s what they told us.

Data Journalism

GIJN’s Data Journalism Top 10: New Tools for Chartmaking and Sonification, 3D Data, Hedgehog Maps, Editable Spreadsheet Images

by Eunice Au & Connected Action • March 14, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 4 to 10 finds several interesting tools and feature releases: @FinancialTimes’ chartmaking tool, @datavized’s data sonification tool and a new feature on @Microsoft’s Excel app that converts printed tables into editable spreadsheets, as well as @alice_corona’s discussion of building 3D data experiences, and @alyssafowers coining the term “hedgehog maps.”

Data Journalism

Átló: Taking on Corruption in Hungary with Data Journalism

by Amanda Loviza • March 12, 2019

In Hungary, nonprofit news site Átlátszó has hired a full-time data team to create a wide range of data visualizations and data-driven stories, notably on corruption. Amanda Loviza spoke to the team’s leader Attila Bátorfy about his plans to raise the bar for data journalism in Hungary.

Data Journalism

GIJN’s Data Journalism Top 10: Lying Charts, Flu Tracker, Soaring Alcohol Costs, Taxing Football

by Eunice Au & Connected Action • March 7, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 25 to March 3 finds a @nytimes profile of its much admired data editor @amandacox; a flu tracker by @morgenpost; and a double dose of skepticism in @amandabee’s roundup of bad data interpretations and @albertocairo’s “How Charts Lie” book.

Data Journalism

GIJN’s Data Journalism Top 10: FT’s Chart Quiz, 65 Years of Human Rights Data, Build a Brexit Voter

by Eunice Au & Connected Action • February 28, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 18 to 24 finds a fun @FinancialTimes quiz that tests your ability to read charts, the creation of a @DataVizSociety to foster engagement in the data visualization community and data viz designer @fedfragapane’s analysis of Human Rights Protection data from 1950 to 2014.

Data Journalism

GIJN’s Data Journalism Top 10: Earth’s Resources, “Good Data,” Who Owns Berlin

by Gaelle Faure & Connected Action • February 21, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 11 to 18 finds learning opportunities from @utknightcenter and @WorldResources, while @Tagesspiegel and @correctiv_org ask who owns Berlin’s housing and @LacePadilla examines what makes a good visualization.

Data Journalism

GIJN’s Data Journalism Top 10: ICIJ’s Datashare, Visualization Talkies, Kyrgyzstan Labor

by Eunice Au & Connected Action • February 14, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 4 to 10 finds exciting releases with a document analysis tool by @ICIJorg and an audio-driven visualization tool by @f_l_o_u_r_i_s_h, while @kloopnews highlights domestic labour imbalance in Kyrgyzstan and @davidottewell emphasizes that data journalism is not just for nerds in a corner.

Data Journalism

GIJN’s Data Journalism Top 10: Mapping Cholera, Tracking Trump and Canada’s Data Gaps

by Eunice Au & Connected Action • February 7, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 28 to February 3 finds @sciam highlighting a curious case of mapping cholera, @nbarrowman arguing that raw data is not as perfectly objective as imagined, @bbc tracking Trump’s performance, and @VismeApp compiling a list of the best data visualizations on climate change.

Data Journalism

10 Visualizations About Criminal Justice

by Alexander Frandsen • February 1, 2019

Journalists and data experts were busy last year attempting to quantify and analyze the criminal justice machine in the United States. Storybench cut through the noise and pulled out these 10 visualizations that best explain the world of criminal justice.

Data Journalism

GIJN’s Data Journalism Top 10: Visualizing the 2018 News Cycle, the History of Football and Sacked Coaches

by Eunice Au & Connected Action • January 31, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 21 to 27 finds @schemadesign and @GoogleTrends teaming up to visualize news cycles in 2018, the @washingtonpost’s flyover tour of the entire US-Mexico border and two interesting football-related visualizations: @ftblsm’s history of football and @NZZ’s analysis of whether football coaches Jose Mourinho and Julen Lopetegui should have been sacked.

Data Journalism

GIJN’s Data Journalism Top 10: DRC’s Election Fraud, San Francisco’s Interactive Art, Ultimate Data Viz List

by Eunice Au & Connected Action • January 24, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 14 to 20 finds a @FinancialTimes exposé of possible electoral fraud in Congo, @sxywu’s beautiful visualization of interaction data between a museum and the public, and @maartenzam’s the ultimate data visualization list to end all lists.

Data Journalism

What the Experts Expect for Data Journalism in 2019

by GIJN Staff • January 18, 2019

With the global spread of data journalism, the advent of artificial intelligence and the increasing use of big data moving alongside a rapid rise of disinformation, GIJN asked data journalism experts around the world what they anticipate for 2019. Here are their thoughts on the major trends, ideas and technologies that will affect how we do our jobs.

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