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data analysis

39 posts

Data Journalism

GIJN’s Data Journalism Top 10: Women and the Oscars, February’s Sad Songs, Hollywood’s Franchises, Moscow’s Elite Owners

by Eunice Au & Connected Action • February 13, 2020

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 3 to 9 finds UOL highlighting the lack of gender equality among Oscar winners and G1 looking into problems of ageism in the Best Actress category. This edition also has The Economist analyzing Spotify data to find the most depressing month for listeners, Proekt Media investigating property owners in a prestigious residential area in Russia, and The Financial Times spotlighting the lack of innovation in the movie industry.

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

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: 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

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.

Data Journalism

GIJN’s Data Journalism Top 10: El Salvador’s Corpses, Searching for Women, Merging Data

by Eunice Au & Connected Action • January 10, 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from December 31, 2018 to Jan 6, 2019 finds experts sharing their thoughts on machine learning in journalism with @storybench, @funkeinterativ and @webk1d’s useful tool to merge datasets, @pewresearch’s overview of female under-representation in online image searches, and an analysis by @EDNNews on corpses bodies sent back to El Salvador.

Reporting Tools & Tips

August’s Top Tools for Investigative Journalists

by Alastair Otter • August 1, 2018

The past few years have seen an explosion of digital tools that can be used to enhance journalism research and reporting. In this new monthly feature GIJN’s IT Coordinator Alastair Otter takes a look at some of the best and latest tools and techniques for enhancing investigative and data-driven journalism.

Data Journalism

This Week’s Top 10 in Data Journalism

by GIJN & Connected Action • March 22, 2018

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 12 to 18 finds disturbing news from @NASAEarth about low Arctic sea ice and temperature anomalies in the North Pole, @seeingtheory ‘s redesigned educational website on probability and statistics and top ten ways to clean your data by @Microsoft.

Data Journalism

This Week’s Top 10 in Data Journalism

by GIJN & Connected Action • March 1, 2018

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 19 to 25 finds economist @SethS_D analyzing Spotify data to find the correlation between our birth year and our music influences, @infowetrust illustrates three centuries of iconic infographics in a beautiful 17th century-styled dataviz and @EdjNet’s Stats Monitor gives you #ddj news leads on European data.

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