Select the correct statement about data preparation.
a. Data preparation cannot be accelerated through automation.
b. Data preparation involves dealing with missing improperly coded data and can include using text analysis to structure unstructured or semi-structured text data.
c. Data preparation is typically the least time-consuming methodological step. d. All of the above. e. None of the above.

Data preparation is the method of purification and analysis of raw information before scanning and review. It is a major step before processing, which frequently includes information system restore, database correction and the combination of data sets, which enhance data result, in this question except option b all choices were incorrect, which can be described as follows:

In option a, This type of preparation accelerate through automation, that's why it is wrong.
In option c, This technique takes some extra time to done one work, that's why it is wrong.

jayilych4real jayilych4real · Answer 2 · 2022-02-17T12:05:30+01:00

The correct statement about data preparation. is:

b. Data preparation involves dealing with missing improperly coded data and can include using text analysis to structure unstructured or semi-structured text data.

What is Data Preparation?

This refers to the process of processing data with the aim of cleaning it out and making proper analysis so that it can be reviewed.

With this in mind, we can see that this is a cleaning up process of data and thus involves the use of missing improperly coded data which makes use of structured, unstructured or semi-structured text data.

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