A director wants a data set that can be used to visualize how various marketing campaigns have performed. The information will be provided by internal and external sources and then compiled to…

The correct answer is C. Blending. Data blending combines data from multiple, often disparate sources (internal and external) into a unified dataset for analysis or visualization. It is commonly used when data comes from different platforms, systems, or formats and must be integrated without a formal join key…

Data Analysis

Question

A director wants a data set that can be used to visualize how various marketing campaigns have performed. The information will be provided by internal and external sources and then compiled to produce the desired data set. Which of the following data techniques should an analyst use to fulfill this request?

Options

AAppending
BImputing
CBlending
DMerging

How the community answered

(20 responses)

A
5% (1)
C
85% (17)
D
10% (2)

Explanation

Data blending combines data from multiple, often disparate sources (internal and external) into a unified dataset for analysis or visualization. It is commonly used when data comes from different platforms, systems, or formats and must be integrated without a formal join key. Appending adds rows to a dataset from the same structure. Imputing fills in missing values within a dataset. Merging joins two datasets on a shared key field. Since the requirement involves pulling from both internal and external sources to produce a combined dataset, blending is the appropriate technique.

Topics

#Data Blending#Data Integration#Data Preparation#Multi-Source Data

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