{"id":232,"date":"2024-11-27T07:05:56","date_gmt":"2024-11-27T07:05:56","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2024\/11\/27\/167-visualization-and-statistics-with-andrew-gelman-and-jessica-hullman\/"},"modified":"2024-11-27T07:05:56","modified_gmt":"2024-11-27T07:05:56","slug":"167-visualization-and-statistics-with-andrew-gelman-and-jessica-hullman","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2024\/11\/27\/167-visualization-and-statistics-with-andrew-gelman-and-jessica-hullman\/","title":{"rendered":"167\u00a0\u00a0|\u00a0\u00a0Visualization and Statistics with Andrew Gelman and Jessica Hullman"},"content":{"rendered":"

167\u00a0\u00a0|\u00a0\u00a0Visualization and Statistics with Andrew Gelman and Jessica Hullman
\n \t

\n
<\/BR>
\n
\n \t

\n
<\/BR><\/p>\n

\n

\"\"\"\"<\/p>\n

In this new episode, we talk about the interplay between statistics and data visualization. We do that with Andrew Gelman<\/a>, Professor of Statistics and Political Science at Columbia University, and Jessica Hullman<\/a>, Professor of Computer Science at Northwestern University. Andrew started the popular blog \u201cStatistical Modeling, Causal Inference, and Social Science,\u201d which has an active community of readers and has been around for many years. Jessica started contributing lately with many exciting posts, several of which have to do with data visualization. In the episode, we touch upon many topics, including the story behind the blog, the role of surprises, anomalies, and storytelling in science, the Anscombe\u2019s quartet<\/a>, and exploratory data analysis.<\/p>\n

Links<\/b><\/p>\n