Global Investigative Journalism Network (https://archive.gijn.org/category/data-journalism/page/32/)
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.
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.
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.
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.
Here’s a great place to start learning about how algorithms can enhance your work: A Columbia Journalism School professor has shared his course syllabus online, complete with exercises and examples of how algorithms have been used by journalists.
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.
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.
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.
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.”
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.