[v10.0.x] Docs: Backport of 69864 - Plugins reorganization (#71100)

* Docs: Plugins doc reorganization, part 1  (#69864)

* Initial commit

* Prettier fixes

* Doc-validator fixes part 1

* Doc-validator fixes part 2

* More doc-validator fixes

* More doc-validator fixes

* Test

* link test

* Linnk test

* Link test

* More fixes

* More fixes

* Doc-validator fixes

* Doc-validator fixes

* fix broken link

* Fix

* Testing

* Doc fixes

* Link fixes

* Fix links

* Update docs/sources/developers/plugins/create-a-grafana-plugin/_index.md

Co-authored-by: David Harris <david.harris@grafana.com>

* Testing

* Testing

* Testing

* Testing

* Doc-validator fixes

* Doc-validator fixes

* Doc-validator fixes

* Fix broken links for plugins reorganization project

* Prettier fixes

* Prettier fixes

* Incorporate reviewer feedback

* Link fixes

* Link fixes

* Link fixes

* Link fix

* Deleted space

* Codeowners fix

* Change grafana.com links to absolute URLs for Hugo

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Co-authored-by: David Harris <david.harris@grafana.com>
(cherry picked from commit f9df1f3051)

* Prettier fix
This commit is contained in:
Joseph Perez
2023-07-05 13:42:56 -07:00
committed by GitHub
parent eac9cc7f6c
commit b4d89dd9d4
70 changed files with 576 additions and 411 deletions
@@ -669,7 +669,7 @@ As you can see each row in the source data becomes a separate field. Each field
This transformation is available in Grafana 7.5.10+ and Grafana 8.0.6+.
{{% /admonition %}}
Prepare time series transformation is useful when a data source returns time series data in a format that isn't supported by the panel you want to use. For more information about data frame formats, refer to [Data frames]({{< relref "../../../developers/plugins/data-frames/" >}}).
Prepare time series transformation is useful when a data source returns time series data in a format that isn't supported by the panel you want to use. For more information about data frame formats, refer to [Data frames]({{< relref "../../../developers/plugins/introduction-to-plugin-development/data-frames/" >}}).
This transformation helps you resolve this issue by converting the time series data from either the wide format to the long format or the other way around.