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Waynette Tubbs 0
Friday's Innovation Inspiration - Ratemaking

In this Innovation Inspiration, a SAS user has developed the insurance rating plans for a country using predictive modeling. How exciting! Additionally, the system adjusts based upon actual experience. This is quite the accomplishment given the complexity of the ratemaking for even a small geographical territory. The comments section reveal the identity of this innovator. Check it out.

Data Visualization
Sanjay Matange 0
Extended Bands

In the Clinical Research domain, there is often the need to display lab values by treatment or test and it is often useful to view this data along with reference lines showing the normal ranges.  The obvious way is to use reference lines to denote the normal ranges. SGPLOT Code: proc sgplot data=band; scatter x=x y=y

Data Visualization
Sanjay Matange 0
Butterfly plots

When comparing results by category and group,  putting the items to be compared close together usually leads to a graph that is easier to decode.  Take the case of the data (simulated) shown below. Here we have population by age group and sex.  To compare the population by sex, it is

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