Data Visualization and Statistical Graphics in Big Data Analysis: Video 2

A video from the 2016 review by Dianne Cook, Eun-Kyung Lee, and Mahbubul Majumder, "Data Visualization and Statistical Graphics in Big Data Analysis," from the Annual Review of Statistics and Its Application. 

Shown: Use of interactive graphics to explore rankings of statistics departments in the United States. The plots show rating variables as side-by-side dotplots (left), a cluster analysis (center, top), and a scatterplot of 5th-percentile rank computed using the S (vertical) and R (horizontal) methods (center, bottom), and institution name lookup (right). Selecting an institution highlights (yellow) its values in each of the other plots. Cornell University is highlighted: We can see that its rank by the two methods differs substantially, with a good R rank (around 5) but not such a good S rank (around 30). On the ranking criteria, the department is around the middle of the pack: It is average in terms of number of publications and citations, has few women faculty and students, and accepts students with lower GRE scores than most statistics departments.