Tag: Data Journalism
Data journalism and where it’s headed next Alex Richards is an assistant professor S.I. Newhouse School of Public Communications at Syracuse University. I spoke to him about data journalism and what is in its future. Monnay: Can you describe your history and experience with data journalism? I was a graduate student at the University of … Continued
A brief intro to exploratory analysis In a recent paper, a pair of statisticians took a stab at outlining “the most important statistical ideas of the past 50 years.” Among them: “counterfactual causal inference, bootstrapping and simulation-based inference, overparameterized models and regularization, multilevel models, generic computation algorithms, adaptive decision analysis, robust inference, and exploratory data … Continued
Choropleth maps show how data varies across a geographic region, a visualization technique used often to present a wide variety of data, including economic data, election results and, more recently, the prevalence of COVID-19 cases and deaths. I recently created a choropleth map that pulls live county-level COVID-19 case data from the Missouri Department of … Continued
As far as I can tell, the Internet is mostly duct-taped together. And why should visual journalism be any different? In a world of flashy D3.js wrappers and React components and the like, sometimes you just need a chart—and you need it as quickly as possible. In other words, you don’t need interactivity; you need … Continued
Who said there would be math? In a field that can attract mathematically challenged individuals, data has become an essential tool for journalists. During the 2019 spring semester, student producers behind Gray Television’s OTT show “Post” showcased 20 pieces of journalism, most of which would not be possible without data.