A field marketing team needs to assess the relationship between gender and volume of sales. The team provided an analyst with the data to be modified. The data sets are shown below: Which of the…

The correct answer is A. Data recoding. Data recoding transforms existing variable values into new categories or codes. In this context, the analyst converted gender labels (e.g., 'Male', 'Female') into numeric codes (e.g., 1, 2) to make the data compatible for statistical analysis correlating gender with sales…

Data Analysis

Question

A field marketing team needs to assess the relationship between gender and volume of sales. The team provided an analyst with the data to be modified. The data sets are shown below:

Which of the following data manipulation techniques did the analyst apply?

Exhibits

Options

AData recoding
BData transposing
CData blending
DData imputation

How the community answered

(49 responses)

A
88% (43)
B
2% (1)
C
4% (2)
D
6% (3)

Explanation

Data recoding transforms existing variable values into new categories or codes. In this context, the analyst converted gender labels (e.g., 'Male', 'Female') into numeric codes (e.g., 1, 2) to make the data compatible for statistical analysis correlating gender with sales volume. Data transposing flips rows and columns. Data blending combines data from different sources. Data imputation fills in missing values. Since the values in a variable are being systematically replaced with new coded representations, this is data recoding.

Topics

#Data recoding#Data manipulation#Data preparation#Categorical data

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