What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 29 to November 4 finds Google search voting predictions from @datavized, hurricane maps reimagined by @_KarenHao, and interactive commuter data from @WDR in Germany.
Early Data on Early Voting
Americans broke records with early voting in the 2018 midterm elections, casting 33 million votes as of morning Election Day Nov. 6, compared with 22 million in 2014. Before we had that data, however, @datavized used #WebXR to visualize Google search interest in “early voting” around the country.
Reimagining Hurricane Maps
Despite progress in predicting hurricanes, forecasters are still producing visualizations that are difficult to interpret. Researchers, including @univmiami‘s @albertocairo, and media organizations, including @nytimes and @washingtonpost, have been developing alternative methods of visualization to make it easier for the public to understand hurricane paths and threat levels. MIT’s @techreview artificial intelligence reporter @_KarenHao takes a look at the redesign efforts.
America’s Growing News Deserts
Increasingly, communities around the US are left with no local newspaper outlets—in both rural and urban areas. A map visualizing this trend—created by @CJR last year using @openstreetmap and @CARTO—has made a comeback on social media.
Dataviz Tools Compared
Dataviz wiz @lisacrost created a bubble chart with 24 charting apps and libraries/frameworks, with reviews of new tools and updates for old ones. Check out her thoughts on Infogram, Flourish, Data Illustrator, Plotly, Google Sheets, Datawrapper (her employer), Tableau Public, RAW & Adobe Illustrator.
Fact Checkers Meet In Turkey
Turkey’s fact-checking organization @dogrulukpayicom hosted journalists from around the world in Antalya. More than 30 organizations from 17 countries met to learn, connect and collaborate, according to the event website. More information on #fcst18 is available here. (In Turkish)
R-Ladies Teach Mapping
A while back @d4tagirl mapped all the chapters of R-Ladies meet-up groups, using Twitter followers to estimate sizes and visualize growth. Helpfully, she included tutorials on fetching Twitter users with R, dealing with #plotly mapping, and plotting animated maps with #gganimate. No wonder it’s made a resurgence on social media.
Germany media outlet @WDR mapped interactive local commuter data for North Rhine-Westphalia cities and municipalities, including stats on where the commuters are coming from. More people commute to Cologne (328,938) daily than any other city. Story here, in German.
Thematic Mapping In 3 Steps
@medialab_ScPo’s Khartis #dataviz made a splash in Turkey when GIJN member @DagmedyaVeri promoted the free, open source tool designed to create thematic maps with a simple 3-step process. Here‘s the popular post (in Turkish).
Next Generation Network Analysis
Visual Network Analysis can simplify exploration of large relational datasets, but current VNA tools are complicated or fall short, according to @PublicDataLab. A new tool under development, miniVan, is being designed for users with minimum knowledge of mathematics or coding, and drawing upon existing open sources and research projects. A workshop looking at “networks and their publics” will inform the development of the tool, which is slated for release in early 2019.
Kira Zalan is a location-independent freelance journalist, whose work has been published by PRI, Christian Science Monitor, US News & World Report, Atlas Obscura, GIJN, and others. She has reported on politics, policy, security, and money laundering — as well as fun topics such as food, travel and culture.