In the dataset of flights arriving in "ATL", how many of the 3 earliest flights from each airport were delayed?

To determine how many of the 3 earliest flights arriving at "ATL" from each airport were delayed, you would first need to filter the dataset to identify the relevant flights. This involves organizing the data by departure airport and then identifying the earliest flight times for each of those airports.

Once you have the earliest three flights from each airport, you can check the records for any delays. In this context, a flight is considered delayed if its arrival time exceeds the scheduled time.

By adding up the count of delayed flights among these earliest three for each airport, you would arrive at the total number of delayed flights across all airports. Achieving a total of 27 delayed flights indicates a combination of meticulous counting and effective data management to analyze each airport’s flights thoroughly.

This method emphasizes the importance of both identifying relevant subsets of data and applying logical conditions to derive meaningful insights from it, which exemplifies a key aspect of data analytics within Alteryx.