PL-300 - Visualize and Analyze the Data - Section 3.3

Identify patterns and trends in data using analytics features and AI visuals.

Use the analytics pane to add trend lines and forecasts, and apply AI visuals such as the decomposition tree and key influencers visual to surface drivers behind a metric. Recognise when the Q&A visual is appropriate for ad-hoc exploration versus a fixed analytical layout.

analytics panetrend linesQ&A visualdecomposition treekey influencers visual

Practice question for this objective

Free sampleVisualize and Analyze the Datahard

You add an unsummarized numerical field, Survey Score, into the Analyze well of a Key Influencers visual. You want the analysis to treat scores as a numeric range rather than distinct categories so the visual answers What influences Survey Scores to increase or decrease. Which configuration achieves this?

  • AIn the Format visual pane, switch Analysis type to Continuous Analysis Type. Correct
  • BIn the Format visual pane, switch Analysis type to Categorical Analysis Type.
  • CIn the Build visual pane, move Survey Score from Analyze into the Expand by field well.
  • DIn the Build visual pane, move Survey Score from Analyze into the Explain by field well.
Format > Analysis type switches an unsummarized numeric metric between Categorical and Continuous in Key Influencers. The documentation says that for an unsummarized numeric field in the Analyze well, the visual offers a choice between Categorical Analysis Type (what influences a specific value) and Continuous Analysis Type (what influences the value to increase or decrease), changed in the Format visual pane.

Why A is correct: Correct. The documentation says that for an unsummarized numeric field in the Analyze well, the visual offers a choice between Categorical Analysis Type (what influences a specific value) and Continuous Analysis Type (what influences the value to increase or decrease), changed in the Format visual pane.

Why B is wrong: Categorical Analysis Type answers What influences Survey Scores to be a specific value, treating values as discrete categories rather than a range.

Why C is wrong: Expand by sets the level of granularity for analysis; it does not change how the target metric is treated, and removing it from Analyze breaks the question entirely.

Why D is wrong: Explain by holds candidate explanatory factors; moving the target there removes the metric being analysed.

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