EXAMPLE - SUMIF and COUNTDISTINCTIF Functions

This example illustrates how you can use the following conditional calculation functions to analyze polling data:

• SUMIF - Sum of a set of values by group that meet a specified condition. See SUMIF Function.
• COUNTDISTINCTIF - Sum of a set of values by group that meet a specified condition. See COUNTDISTINCTIF Function.

Source:

Here is some example polling data across 16 precincts in 8 cities across 4 counties, where registrations have been invalidated at the polling station, preventing voters from voting. Precincts where this issue has occurred previously have been added to a watch list (precinctWatchList).

Transform:

First, you want to sum up the invalid registrations (invalidReg) by city:

derive type:single value:SUMIF(invalidReg, precinctWatchList == "y") group:cityId as:'invalidRegbyCityId'

The invalidRegbyCityId column contains invalid registrations across the entire city. Now, at the county level, you want to identify the number of precincts that were on the watch list and were part of a city-wide registration problem. This step performs an aggregation:

pivot value:COUNTDISTINCTIF(precinctId, invalidRegbyCityId > 60) group:countyId limit:1

Results:

The voting officials in counties 2 and 3 should investigate their precinct registration issues.