Data Visualization

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Data Visualization
Sanjay Matange 5
More on Spaghetti Plots

In her article Creating Spaghetti Plots Just got Easy, Lelia McConnell has provided us a glimpse into some new useful features in the SAS 9.4M2 release.  The term Spaghetti plots generally refers to cases where time series plots have to be  identified by multiple group classifications.  The support for the

Data Visualization
Sanjay Matange 1
Epidemic Curve Graph

A few weeks back I wrote an article on Grouped Timeline for creating a stacked timeline for onset of different virus.  The idea in that article was to display a stacked needle on a time axis using a HighLow plot. Such graphs are also referred to as EPI or Epidemic Curve

Data Visualization
Sanjay Matange 2
Overlay Bar Charts

A couple of days back, Rick Wicklin forwarded me a link to an article on the BadHessian Blog on creating a Bar Chart using six different freeware packages in R, Python and Julia.   The target bar chart was one produced by the Jetpack stat module with WordPress.  The graph is shown below. The unique feature of

Data Visualization
Sanjay Matange 2
Group order in GTL

This post could be titled something like "Everything you wanted to know about Group Order in GTL - and more."   The group ordering shows up in three different ways in your graph. Assignment of attributes (color, marker symbol) to group values. Position of group values in the graph. Display of the group

Data Visualization
Sanjay Matange 5
Spirals

Spirals are cool.  And useful.  We use them every day without thinking about it.  Every time the road turns from a straight line to a curve, we go through a transition spiral.  Spirals allow us to change curvature in a steady increasing or decreasing fashion.   Without a spiral, this

Data Visualization
Sanjay Matange 7
Proportional Euler Diagram

The topic of VENN diagrams had come up a while ago.  At that time, I thought it may be interesting to build a proportional VENN diagram.  But, reading up on VENN Diagrams, I learned that VENN diagrams represent all intersections of N sets, regardless of whether there are actually any observations in one

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