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Advanced Splunk

You're reading from  Advanced Splunk

Product type Book
Published in Jun 2016
Publisher
ISBN-13 9781785884351
Pages 348 pages
Edition 1st Edition
Languages
Author (1):
Ashish Kumar Tulsiram Yadav Ashish Kumar Tulsiram Yadav
Profile icon Ashish Kumar Tulsiram Yadav

Table of Contents (20) Chapters

Advanced Splunk
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Preface
1. What's New in Splunk 6.3? 2. Developing an Application on Splunk 3. On-boarding Data in Splunk 4. Data Analytics 5. Advanced Data Analytics 6. Visualization 7. Advanced Visualization 8. Dashboard Customization 9. Advanced Dashboard Customization 10. Tweaking Splunk 11. Enterprise Integration with Splunk 12. What Next? Splunk 6.4 Index

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...
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