Which of the following statements about parallel coordinate plot is NOT true?

A parallel coordinate plot represents each row in a data table as a single polyline that intersects a series of parallel vertical axes. Each axis corresponds to a different column (variable) from the data table. The statement that a row is mapped as a bar is incorrect; this describes the fundamental element of a bar chart, not a parallel coordinate plot. The core visual element for a data row in this plot is a line, not a bar.

A. This is incorrect because each vertical axis in a parallel coordinate plot represents a different variable, and these variables almost always have different units and ranges, thus requiring separate scales.

C. This is incorrect because, like all visualizations in TIBCO Spotfire, the parallel coordinate plot is interactive and the data it displays can be limited by one or more active filtering schemes.

D. This is incorrect because TIBCO Spotfire normalizes the scale for each axis (typically to a 0-100 range) to allow for visual comparison of patterns across variables with different original scales.

---

1. TIBCO Spotfire® Analyst User's Guide (Version 12.0 LTS)

"What is a Parallel Coordinate Plot?".

Reference for Correct Answer (B): The documentation states

"Each row in the data table is represented by a line." This directly contradicts the claim that a row is mapped as a bar.

Reference for Incorrect Option (A & D): The same section explains

"Each of the columns selected on the Y-axis is given its own Y-axis... The values in each column are normalized so that the minimum value for each column is 0 and the maximum value is 100." This confirms that each column has its own axis (and thus its own underlying scale) and that the values are normalized for display.

Reference for Incorrect Option (C): In the section "Limiting What is Shown in Visualizations"

the guide details how filtering schemes and other methods apply to all visualizations. Specifically

the "Data" page in the visualization properties allows for limiting data by filtering.