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

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.

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

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.

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

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.

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

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.

Six Case Studies in Computational Journalism

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.

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

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.