Parallel coordinates

Parallel coordinates visualization is a very powerful tool to understand a multidimensional, multivariate numerical dataset. This visualization works best for datasets with a moderate number of dimensions with around a few thousand records. The parallel coordinates visualization is related to time series visualization. Rather, it is applied on data whose axes do not correspond to points in time.

Parallel coordinates visualization is a very versatile and useful technique to find structures in the given dataset. It can be used to quickly find patterns and the strength of correlation in a mid-sized dataset.

Example

Let's now see what data can be plotted with parallel coordinates visualization and the insights derived from it. Then, we will look at implementing it on the Splunk dashboard.

Search query

The following search query is used for parallel coordinates visualization:

index=_internal sourcetype=splunkd component=Metrics group=pipeline | dedup 2 name, processor | table...