Which of the following data manipulation techniques should the data analyst use to create "Income Categories"?

A data analyst wants to create "Income Categories" that would be calculated based on the existing variable "Income".

The "Income Categories" would be as follows:

Income category 1: less than $1.

Income category 2: more than $1 and less than $20,000.

Income category 3: more than $20,001 and less than $40,000.

Income category 4: more than $40,001.

Which of the following data manipulation techniques should the data analyst use to create "Income Categories"?
A . Data merge
B . Derived variables
C . Data blending
D . Data append

View Answer

Answer: B

Explanation:

The correct answer is B: Derived variables Derived variables are variables that you create by calculating or categorizing variables that already exist in your data set.

Data merge is incorrect. Data merging is the process of combining two or more data sets into a single data set. Data blending is incorrect.

Data blending involves pulling data from different sources and creating a single, unique, dataset for visualization and analysis.

Data append is incorrect. A data append is a process that involves adding new data elements to an existing database.