Today, I focus on the steps needed to make a graph that is composed of multiple heterogeneous components (in this case, dendrograms and a heat map).
There are many ways to use a heat map. For big data sets, heat maps provide a substitute for scatter plots. Heat maps can also be used to enhance small tables. Several of my colleagues (Sanjay Matange, Pratik Phadke, Rick Wicklin, Chris Hemedinger, and probably others) have written blogs about
Let us continue our review of the Clinical Graphs included in the CTSPedia repository. Today, I noticed this Heatmap of Benefits and Risks over Time for Subjects in a study by Treatment, submitted by Max Cherny using "R" code. I thought it would be a good exercise to see how to build this
The parable of beer and diapers is often related when teaching data mining techniques. Whether fact or fiction, a Heat Map is useful to view the claimed associations. A co-worker recently enquired about possible ways to display associations or dependency between variables. One option is to show the dependency as a node
Calendar Heatmaps are an interesting alternative view of time-series data. The measured value is displayed as color mapped cells in a calendar. Calendar Heatmaps can be easily created with SAS 9.3 using just the HEATMAPPARM, SERIESPLOT and BLOCKPLOT statements in GTL and some simple data manipulation. The example below shows
The heatmap is a graphical representation of a table where colors are used to represent the values in the table. This is an effective graphic for finding the minimum and maximum values across the table and may surface patterns in the data. With the addition of the HEATMAPPARM statement to