![]() For example, looking at the bar plot in the box on the seventh row down from the top and second column in from the left, the region around Herat, a city with a population of approximately 435,000 residents, it appears that civilian casualties exceed the sum of all others. The third and fourth plots are embedded plots which respectively show marginal and conditional distribution summaries of the data for different locations.įrom looking at the enlarged version below of the plot in the lower right corner it is clear that there are locations where civilian casualties dominate. The second plot, a heatmap, does show how the number of casualties varies by geography but provides no information as to how casualties are distributed among the various groups. The first plot is a simple scatter plot which suffers from severe over plotting that obscures the patterns in the data. Casualties counts are recorded for four groups: civilian, enemy, Afghanistan police and coalition forces. Among other variables the dataset contains longitude and latitude coordinates and casualty statistics for more than 76,000 events. military between 20 and made available by the WikiLeaks organization. They provide clear and prominent testimony to the dreadful toll of civilian casualties from the war in Afghanistan.Įach plot provides a different view of casualty data collected by the U.S.They present superb example of how an embedded plot with its additional set of axes can pack more information into the same area required for a traditional scatter plot or heatmap.The four plots are noteworthy for a couple or reasons: The following multi-panel graph, which graces the cover of the most recent issue of the Journal of Computational and Graphical Statistics ,JCGS, ( Vol 24, Num 1, March 2015) is from the paper by Grolemund and Wickham entitled Visualizing Complex Data With Embedded Plots.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |