An e-retailer conducting a data mining project has limited an initial study to approximately 30,000 customers who have registered on the site. There are still millions of records in the Web logs…

Question

Options

• ASim Fit node
• BReport node
• CHistogram node
• DTransform node

• A
  4% (1)
• B
  4% (1)
• C
  93% (25)

Explanation

A Histogram node is the right tool here because it's specifically designed to visualize the frequency distribution of a continuous numeric variable - it divides the range of values (like age) into bins and counts how many records fall into each, giving the data miner exactly the distribution view they need. The Sim Fit node is used for fitting statistical distributions to data (testing whether data follows a normal, exponential, etc. distribution), not simply displaying frequency. The Report node generates tabular or formatted text output and isn't suited for graphical frequency analysis of continuous fields. The Transform node is used to apply mathematical transformations or derive new fields from existing ones - useful for data prep, but irrelevant to visualization or distribution analysis.

Memory tip: Think "H is for How often, How spread" - a Histogram answers "how frequently does each value range appear?" for High-cardinality continuous fields like age. If it's continuous and you want counts by range, reach for the Histogram.

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