Applications

A filtering example: To see payments made by a company for a certain drug in the state of NY:

Using the RShiny Application

Note that the system processed 11 million records in 21 milliseconds, as shown in the header message. The name of the company and the product has been blanked out in the screenshot for privacy, but you are free to try out different options for both fields.

Note that in the default VM, we are using only one core with very limited memory, and the speed with which the data is processed using kdb+ even on a laptop with very limited resources easily exceeds the performance of many well-to-do commercial solutions.

An aggregation example: To see total payments grouped by state, payment category, and payment nature for a specific company and product, select the options for the fields Aggregate Data and Calculate Metrics. Please note that the name of the company and the product have been hidden in the screenshot for privacy reasons only.

Note the message at the top that states:

Log message indicating query and application performance

This indicates the speed with which the underlying kdb+ database processed the data. In this case, it filtered and aggregated 11 million records in 22 milliseconds for the given options.

CMS OpenPayments Application Screenshot
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