Parallel coordinate plot
A parallel coordinate plot is used to compare data values which are of completely different types or magnitudes within a single visualization. The values are normalized and then presented as points on a line, or a profile, with one point per data column. This makes parallel coordinate plots similar in appearance to line charts, but the way data is translated into a plot is very different. The visualization is useful also for examining patterns.

The values can represent aggregated data or non-aggregated data for the particular data point. An aggregated value could be, for example, a sum, an average or the first value in a data column.
Important axes are the Line by axis and the Color by axis. These axes are used to select the columns whose values you want to represent as lines and you can modify them from the legend.


Categorical column values are also possible to visualize. Note the gender column furthest to the right where male and female customers are split into different values on the percentage scale.
- Creating a parallel coordinate plot
The parallel coordinate plot is used to compare data values of different types or magnitudes. All values are presented as points on a line, or profile, with one point per data column. Items that are similar to each other often show a similar profile. - Displaying actual values in the parallel coordinate plot
In the parallel coordinate plot, the values are normalized and expressed as a percentage. The percentage scale is displayed to the left in the visualization. It is possible, though, to display also a scale for actual values. The scale can be displayed to the right in the visualization for one column at a time.