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Detecting Anomalies in the NFL Schedule

Super Bowl 50 (L?) is this Sunday, so it's time for another (American) football-related post. Steven Miller, a mathematics professor at Rutgers University, recently noted that the 2015 NFL schedule allowed a competitive advantage for some teams (including the Carolina Panthers). This figure he generated displays the 2015 regular season

Data Visualization
Sanjay Matange 0
Legend Order

In the previous article on managing legends, I described the way to include items in a legend that may not exist in the data.  This is done by defining a Discrete Attribute Map, and then requesting that all the values defined in the map should be displayed in the legend. In

Work & Life at SAS
Amanda Pack 0
Bring on the loving kindness!

Living in a society where the pressure to succeed is on as early as preschool and time moves so fast it sometimes feels hard to breathe, I’ve found meditation to be cheap therapy for my generally order-driven, perfectionist self.  It’s during this time, I quiet the chatter, nurture my spirituality,

Data Visualization
Sanjay Matange 0
Legendary

Entries in a legend are populated automatically based on the data.  When creating a graph with group classification,  the display attributes for each bar are derived from the GraphData1-12 style elements from the active style. The graph on the right shows you the result of creating an adverse event timeline

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