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  1. [role="xpack"]
  2. [[ml-dataframes]]
  3. = Transforming data
  4. [partintro]
  5. --
  6. {transforms-cap} enable you to convert existing {es} indices into summarized
  7. indices, which provide opportunities for new insights and analytics. For example,
  8. you can use {transforms} to pivot your data into entity-centric indices that
  9. summarize the behavior of users or sessions or other entities in your data.
  10. * <<ml-transform-overview>>
  11. * <<ml-transforms-usage>>
  12. * <<df-api-quickref>>
  13. * <<dataframe-examples>>
  14. * <<dataframe-troubleshooting>>
  15. * <<dataframe-limitations>>
  16. --
  17. include::overview.asciidoc[]
  18. include::usage.asciidoc[]
  19. include::checkpoints.asciidoc[]
  20. include::api-quickref.asciidoc[]
  21. include::dataframe-examples.asciidoc[]
  22. include::troubleshooting.asciidoc[]
  23. include::limitations.asciidoc[]