A data analyst evaluates the data below. The analyst must present the cloud coverage percentage using the following scale: 0-33%: mostly sunny 34-66%: partly cloudy 67-100%: mostly cloudy Which of…

Question

Exhibit

Options

• AData merging
• BData blending
• CData appending
• DData recoding

• C
  4% (1)
• D
  96% (22)

Explanation

The analyst should use data recoding. Data recoding is the process of modifying or transforming a piece of data in a given dataset. The purpose of data recoding is to make the data more usable for analysis. In this scenario, the numerical cloud cover percentage data is grouped and recoded into a text-based description. This categorization simplifies the data and makes it easier to perform some types of statistical analysis. The analyst should not use data merging. Data merging is used to combine closely related or duplicate data from various sources. For example, records for email customer interactions might be merged with records for phone-based customer interactions to create a single customer The analyst should not use data blending. Like data merging, data blending is used to combine data from various sources. Unlike data merging, data blending combines data that may not be closely related and may utilize different formats or structures. For example, data from a cloud app and a spreadsheet could be blended to create an ad hoc report. The analyst should not use data appending. Data appending is used to combine multiple, related data sets to enhance the accuracy or usefulness of the data. For example, data about customer demographics might be merged with buying habits to formulate new marketing campaigns.

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