Apache Spark 3 for Data Engineering and Analytics with Python - Aggregations - Min Max Sum SumDistinct AVG

The video tutorial covers the use of aggregation functions in Spark SQL, including min, max, sum, sum distinct, and average. It demonstrates how to import necessary functions, calculate minimum and maximum flight counts, sum total and distinct flight counts, and compute average flight counts using both built-in functions and manual calculations. The tutorial concludes with a summary of the results obtained.

Which of the following is NOT an aggregation function introduced in the video?

• average

• median

• max

• min

What is the purpose of using the max function in the context of flight data?

• To determine the highest flight count

• To find the average flight count

• To calculate the total number of flights

• To identify unique flight counts

Which function would you use to find the lowest flight count in a data frame?

• max

• average

• sum

• min

In the student data frame example, what was the total score after duplicating the data frame?

• 230

• 460

• 690

• 920

What is the main difference between the sum and sum distinct functions?

• Sum distinct only considers unique values

• Sum distinct multiplies all values

• Sum distinct calculates the average

• Sum distinct finds the maximum value

How is the average flight count calculated manually in the video?

• By using the min function

• By finding the maximum flight count

• By adding all flight counts together

• By dividing the sum of flight counts by the number of flights

What is the result of using the average function on the flight data?

• It identifies unique flight counts

• It calculates the average flight count

• It gives the minimum flight count

• It provides the total flight count