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Crucial Exams

CompTIA Data+ DA0-002 (V2) Practice Question

A data analyst is preparing a customer dataset for a promotional campaign analysis. The dataset includes a 'Customer Age' column with values ranging from 18 to 85. The marketing team has requested that the analysis be segmented by specific age groups (e.g., 18-29, 30-45, 46-60, 61+). This approach helps to simplify the model and reduce the impact of minor age variations on the results. Which data cleansing technique is most suitable for converting the continuous 'Customer Age' data into these discrete categorical groups?

  • Standardization

  • Parsing

  • Imputation

  • Binning

CompTIA Data+ DA0-002 (V2)
Data Acquisition and Preparation
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