refactors transformation topics (#53984)

docs/sources/developers/plugins/data-frames.md

@@ -165,7 +165,7 @@ Dimensions: 5 fields by 2 rows
 +---------------------+------------------+------------------+------------------+------------------+
 ```
 
-> **Note:** Not all panels support the wide time series data frame format. To keep full backward compatibility we have introduced a transformation that can be used to convert from the wide to the long format. For usage information, refer to the [Prepare time series-transformation]({{< relref "../../panels/transform-data/transformation-functions/#prepare-time-series" >}}).
+> **Note:** Not all panels support the wide time series data frame format. To keep full backward compatibility we have introduced a transformation that can be used to convert from the wide to the long format. For usage information, refer to the [Prepare time series-transformation]({{< relref "../../panels/transform-data/#prepare-time-series" >}}).
 
 ## Technical references
 

docs/sources/panels/transform-data/_index.md

@@ -1,26 +0,0 @@
----
-aliases:
-  - /docs/grafana/latest/panels/transform-data/
-  - /docs/grafana/latest/panels/transformations/
-  - /docs/grafana/latest/panels/transformations/apply-transformations/
-  - /docs/grafana/latest/panels/transformations/config-from-query/
-  - /docs/grafana/latest/panels/transformations/rows-to-fields/
-  - /docs/sources/panels/transform-data/
-title: Transform data
-weight: 500
----
-
-# Transform data
-
-Transformations are a powerful way to manipulate data returned by a query before the system applies a visualization.
-
-With transformations, you can:
-
-- Rename fields
-- Join time series data
-- Perform mathematical operations across queries
-- Use the output of one transformation as the input to another transformation
-
-This section includes the following topics:
-
-{{< section >}}

docs/sources/panels/transform-data/about-transformation.md

@@ -1,32 +0,0 @@
----
-aliases:
-  - /docs/grafana/latest/panels/transform-data/about-transformation/
-  - /docs/sources/panels/transform-data/about-transformation/
-title: About transformations
-weight: 10
----
-
-# About transformations
-
-Transformations process the result set of a query before it’s passed on for visualization. Using transformations, you can:
-
-- Rename fields
-- Join time series data
-- Perform mathematical operations across queries
-- Use the output of one transformation as the input to another transformation
-
-For users that rely on multiple views of the same dataset, transformations offer an efficient method of creating and maintaining numerous dashboards.
-
-You can also use the output of one transformation as the input to another transformation, which results in a performance gain.
-
-> Sometimes the system cannot graph transformed data. When that happens, click the `Table view` toggle above the visualization to switch to a table view of the data. This can help you understand the final result of your transformations.
-
-## Transformation types
-
-Grafana provides a number of ways that you can transform data. For a complete list of transformations, refer to [Transformation functions]({{< relref "transformation-functions/" >}}).
-
-## Order of transformations
-
-When there are multiple transformations, Grafana applies them in the order they are listed. Each transformation creates a result set that then passes on to the next transformation in the processing pipeline.
-
-The order in which Grafana applies transformations directly impacts the results. For example, if you use a Reduce transformation to condense all the results of one column into a single value, then you can only apply transformations to that single value.

docs/sources/panels/transform-data/add-transformation-to-data.md

@@ -1,34 +0,0 @@
----
-aliases:
-  - /docs/grafana/latest/panels/transform-data/add-transformation-to-data/
-  - /docs/grafana/latest/panels/transform-data/apply-transformation-to-data/
-  - /docs/sources/panels/transform-data/add-transformation-to-data/
-  - /docs/sources/panels/transform-data/apply-transformation-to-data/
-title: Add a transformation to data
-weight: 20
----
-
-# Add a transformation function to data
-
-The following steps guide you in adding a transformation to data. This documentation does not include steps for each type of transformation. For a complete list of transformations, refer to [Transformation functions]({{< relref "transformation-functions/" >}}).
-
-## Before you begin
-
-- [Add a query]({{< relref "../query-a-data-source/add-a-query/" >}}).
-
-**To apply a transformation function to data**:
-
-1. Navigate to the panel where you want to add one or more transformations.
-1. Click the panel title and then click **Edit**.
-1. Click the **Transform** tab.
-1. Click a transformation.
-
-   A transformation row appears where you configure the transformation options. For more information about how to configure a transformation, refer to [Transformation functions]({{< relref "transformation-functions/" >}}).
-
-   For information about available calculations, refer to [Calculation types]({{< relref "../calculation-types/" >}}).
-
-1. To apply another transformation, click **Add transformation**.
-
-   This transformation acts on the result set returned by the previous transformation.
-
-   {{< figure src="/static/img/docs/transformations/transformations-7-0.png" class="docs-image--no-shadow" max-width= "1100px" >}}

docs/sources/panels/transform-data/debug-transformation.md

@@ -1,15 +0,0 @@
----
-aliases:
-  - /docs/grafana/latest/panels/transform-data/debug-transformation/
-  - /docs/sources/panels/transform-data/debug-transformation/
-title: Debug a transformation
-weight: 30
----
-
-# Debug a transformation
-
-To see the input and the output result sets of the transformation, click the bug icon on the right side of the transformation row.
-
-The input and output results sets can help you debug a transformation.
-
-{{< figure src="/static/img/docs/transformations/debug-transformations-7-0.png" class="docs-image--no-shadow" max-width= "1100px" >}}

docs/sources/panels/transform-data/delete-transformation.md

@@ -1,21 +0,0 @@
----
-aliases:
-  - /docs/grafana/latest/panels/transform-data/delete-transformation/
-  - /docs/sources/panels/transform-data/delete-transformation/
-title: Delete a transformation
-weight: 40
----
-
-# Delete a transformation
-
-We recommend that you remove transformations that you don't need. When you delete a transformation, you remove the data from the visualization.
-
-## Before you begin
-
-- Identify all dashboards that rely on the transformation and inform impacted dashboard users.
-
-**To delete a transformation**:
-
-1. Open a panel for editing.
-1. Click the **Transform** tab.
-1. Click the trash icon next to the transformation you want to delete.

docs/sources/panels/transform-data/index.md

@@ -1,18 +1,93 @@
 ---
 aliases:
+  - /docs/grafana/latest/panels/transform-data/
+  - /docs/grafana/latest/panels/transformations/
+  - /docs/grafana/latest/panels/transformations/apply-transformations/
+  - /docs/grafana/latest/panels/transformations/config-from-query/
+  - /docs/grafana/latest/panels/transformations/rows-to-fields/
+  - /docs/grafana/latest/panels/transform-data/about-transformation/
+  - /docs/grafana/latest/panels/transform-data/add-transformation-to-data/
+  - /docs/grafana/latest/panels/transform-data/apply-transformation-to-data/
+  - /docs/grafana/latest/panels/transform-data/debug-transformation/
+  - /docs/grafana/latest/panels/transform-data/delete-transformation/
   - /docs/grafana/latest/panels/reference-transformation-functions/
   - /docs/grafana/latest/panels/transform-data/transformation-functions/
   - /docs/grafana/latest/panels/transformations/types-options/
-  - /docs/sources/panels/reference-transformation-functions/
+title: Transform data
-title: Transformation functions
+weight: 500
-weight: 1000
 ---
 
-# Reference: Transformation functions
+# Transform data
+
+Transformations are a powerful way to manipulate data returned by a query before the system applies a visualization. Using transformations, you can:
+
+- Rename fields
+- Join time series data
+- Perform mathematical operations across queries
+- Use the output of one transformation as the input to another transformation
+
+For users that rely on multiple views of the same dataset, transformations offer an efficient method of creating and maintaining numerous dashboards.
+
+You can also use the output of one transformation as the input to another transformation, which results in a performance gain.
+
+> Sometimes the system cannot graph transformed data. When that happens, click the `Table view` toggle above the visualization to switch to a table view of the data. This can help you understand the final result of your transformations.
+
+## Transformation types
+
+Grafana provides a number of ways that you can transform data. For a complete list of transformations, refer to [Transformation functions]({{< relref "#transformation-functions" >}}).
+
+## Order of transformations
+
+When there are multiple transformations, Grafana applies them in the order they are listed. Each transformation creates a result set that then passes on to the next transformation in the processing pipeline.
+
+The order in which Grafana applies transformations directly impacts the results. For example, if you use a Reduce transformation to condense all the results of one column into a single value, then you can only apply transformations to that single value.
+
+## Add a transformation function to data
+
+The following steps guide you in adding a transformation to data. This documentation does not include steps for each type of transformation. For a complete list of transformations, refer to [Transformation functions]({{< relref "#transformation-functions" >}}).
+
+1. Navigate to the panel where you want to add one or more transformations.
+1. Click the panel title and then click **Edit**.
+1. Click the **Transform** tab.
+1. Click a transformation.
+
+   A transformation row appears where you configure the transformation options. For more information about how to configure a transformation, refer to [Transformation functions]({{< relref "#transformation-functions" >}}).
+
+   For information about available calculations, refer to [Calculation types]({{< relref "../calculation-types/" >}}).
+
+1. To apply another transformation, click **Add transformation**.
+
+   This transformation acts on the result set returned by the previous transformation.
+
+   {{< figure src="/static/img/docs/transformations/transformations-7-0.png" class="docs-image--no-shadow" max-width= "1100px" >}}
+
+## Debug a transformation
+
+To see the input and the output result sets of the transformation, click the bug icon on the right side of the transformation row.
+
+The input and output results sets can help you debug a transformation.
+
+{{< figure src="/static/img/docs/transformations/debug-transformations-7-0.png" class="docs-image--no-shadow" max-width= "1100px" >}}
+
+## Delete a transformation
+
+We recommend that you remove transformations that you don't need. When you delete a transformation, you remove the data from the visualization.
+
+**Before you begin:**
+
+- Identify all dashboards that rely on the transformation and inform impacted dashboard users.
+
+**To delete a transformation**:
+
+1. Open a panel for editing.
+1. Click the **Transform** tab.
+1. Click the trash icon next to the transformation you want to delete.
+
+## Transformation functions
 
 You can perform the following transformations on your data.
 
-## Add field from calculation
+### Add field from calculation
 
 Use this transformation to add a new field calculated from two other fields. Each transformation allows you to add one new field.
 
@@ -29,7 +104,7 @@ In the example below, I added two fields together and named them Sum.
 
 {{< figure src="/static/img/docs/transformations/add-field-from-calc-stat-example-7-0.png" class="docs-image--no-shadow" max-width= "1100px" >}}
 
-## Concatenate fields
+### Concatenate fields
 
 This transformation combines all fields from all frames into one result. Consider:
 
@@ -51,19 +126,19 @@ After you concatenate the fields, the data frame would be:
 | ---- | ------- | --- | ------ |
 | 15.4 | 1230233 | 3.2 | 5      |
 
-## Config from query results
+### Config from query results
 
 This transformation allow you to select one query and from it extract standard options like **Min**, **Max**, **Unit** and **Thresholds** and apply it to other query results. This enables dynamic query driven visualization configuration.
 
 If you want to extract a unique config for every row in the config query result then try the rows to fields transformation.
 
-### Options
+#### Options
 
 - **Config query**: Select the query that returns the data you want to use as configuration.
 - **Apply to**: Select what fields or series to apply the configuration to.
 - **Apply to options**: Usually a field type or field name regex depending on what option you selected in **Apply to**.
 
-## Convert field type
+### Convert field type
 
 This transformation changes the field type of the specified field.
 
@@ -93,7 +168,7 @@ The result:
 | 2019-01-01 00:00:00 | below | 29    |
 | 2020-01-01 00:00:00 | above | 22    |
 
-## Filter data by name
+### Filter data by name
 
 Use this transformation to remove portions of the query results.
 
@@ -118,7 +193,7 @@ Here is the same query using a Stat visualization.
 
 {{< figure src="/static/img/docs/transformations/filter-name-stat-after-7-0.png" class="docs-image--no-shadow" max-width= "1100px" >}}
 
-## Filter data by query
+### Filter data by query
 
 Use this transformation in panels that have multiple queries, if you want to hide one or more of the queries.
 
@@ -130,7 +205,7 @@ In the example below, the panel has three queries (A, B, C). I removed the B que
 
 > **Note:** This transformation is not available for Graphite because this data source does not support correlating returned data with queries.
 
-## Filter data by value
+### Filter data by value
 
 This transformation allows you to filter your data directly in Grafana and remove some data points from your query result. You have the option to include or exclude data that match one or more conditions you define. The conditions are applied on a selected field.
 
@@ -191,7 +266,7 @@ In the example above we chose **Match all** because we wanted to include the row
 
 Conditions that are invalid or incompletely configured are ignored.
 
-## Group by
+### Group by
 
 This transformation groups the data by a specified field (column) value and processes calculations on each group. Click to see a list of calculation choices. For information about available calculations, refer to [Calculation types]({{< relref "../calculation-types/" >}}).
 
@@ -249,7 +324,7 @@ We would then get :
 
 This transformation allows you to extract some key information out of your time series and display them in a convenient way.
 
-## Join by field (outer join)
+### Join by field (outer join)
 
 Use this transformation to join multiple time series from a result set by field.
 
@@ -263,7 +338,7 @@ I applied a transformation to join the query results using the time field. Now I
 
 {{< figure src="/static/img/docs/transformations/join-fields-after-7-0.png" class="docs-image--no-shadow" max-width= "1100px" >}}
 
-## Labels to fields
+### Labels to fields
 
 This transformation changes time series results that include labels or tags into a table where each label keys and values are included in the table result. The labels can be displayed either as columns or as row values.
 
@@ -291,7 +366,7 @@ In "Rows" mode, the result has a table for each series and show each label value
 | Server     | Server B |
 | Datacenter | EU       |
 
-### Value field name
+#### Value field name
 
 If you selected Server as the **Value field name**, then you would get one field for every value of the Server label.
 
@@ -299,7 +374,7 @@ If you selected Server as the **Value field name**, then you would get one field
 | ------------------- | ---------- | -------- | -------- |
 | 2020-07-07 11:34:20 | EU         | 1        | 2        |
 
-### Merging behavior
+#### Merging behavior
 
 The labels to fields transformer is internally two separate transformations. The first acts on single series and extracts labels to fields. The second is the [merge](#merge) transformation that joins all the results into a single table. The merge transformation tries to join on all matching fields. This merge step is required and cannot be turned off.
 
@@ -325,7 +400,7 @@ After merge:
 | 2020-07-07 11:34:20 | ServerA | 10    |            |
 | 2020-07-07 11:34:20 |         | 20    | EU         |
 
-## Merge
+### Merge
 
 Use this transformation to combine the result from multiple queries into one single result. This is helpful when using the table panel visualization. Values that can be merged are combined into the same row. Values are mergeable if the shared fields contain the same data. For information, refer to [Table panel]({{< relref "../../visualizations/table/" >}}).
 
@@ -352,7 +427,7 @@ Here is the result after applying the Merge transformation.
 | 2020-07-07 11:34:20 | node    | 15     | 25260122  |
 | 2020-07-07 11:24:20 | postgre | 5      | 123001233 |
 
-## Organize fields
+### Organize fields
 
 Use this transformation to rename, reorder, or hide fields returned by the query.
 
@@ -368,7 +443,7 @@ In the example below, I hid the value field and renamed Max and Min.
 
 {{< figure src="/static/img/docs/transformations/organize-fields-stat-example-7-0.png" class="docs-image--no-shadow" max-width= "1100px" >}}
 
-## Reduce
+### Reduce
 
 The _Reduce_ transformation applies a calculation to each field in the frame and return a single value. Time fields are removed when applying this transformation.
 
@@ -418,7 +493,7 @@ Query B:
 | --- | ------ |
 | 3.2 | 5      |
 
-## Rename by regex
+### Rename by regex
 
 Use this transformation to rename parts of the query results using a regular expression and replacement pattern.
 
@@ -432,7 +507,7 @@ With the transformation applied, you can see we are left with just the remainder
 
 {{< figure src="/static/img/docs/transformations/rename-by-regex-after-7-3.png" class="docs-image--no-shadow" max-width= "1100px" >}}
 
-## Rows to fields
+### Rows to fields
 
 The rows to fields transformation converts rows into separate fields. This can be useful as fields can be styled and configured individually. It can also use additional fields as sources for dynamic field configuration or map them to field labels. The additional labels can then be used to define better display names for the resulting fields.
 
@@ -454,7 +529,7 @@ Useful when visualizing data in:
 - Stat
 - Pie chart
 
-### Map extra fields to labels
+#### Map extra fields to labels
 
 If a field does not map to config property Grafana will automatically use it as source for a label on the output field-
 
@@ -475,7 +550,7 @@ The extra labels can now be used in the field display name provide more complete
 
 If you want to extract config from one query and appply it to another you should use the config from query results transformation.
 
-### Example
+#### Example
 
 Input:
 
@@ -493,7 +568,7 @@ Output:
 
 As you can see each row in the source data becomes a separate field. Each field now also has a max config option set. Options like **Min**, **Max**, **Unit** and **Thresholds** are all part of field configuration and if set like this will be used by the visualization instead of any options manually configured in the panel editor options pane.
 
-## Prepare time series
+### Prepare time series
 
 > **Note:** This transformation is available in Grafana 7.5.10+ and Grafana 8.0.6+.
 
@@ -505,7 +580,7 @@ Select the `Multi-frame time series` option to transform the time series data fr
 
 Select the `Wide time series` option to transform the time series data frame from the long to the wide format.
 
-## Series to rows
+### Series to rows
 
 > **Note:** This transformation is available in Grafana 7.1+.
 
@@ -542,11 +617,11 @@ Here is the result after applying the Series to rows transformation.
 | 2020-07-07 09:30:57 | Humidity    | 33    |
 | 2020-07-07 09:30:05 | Temperature | 19    |
 
-## Sort by
+### Sort by
 
 This transformation will sort each frame by the configured field, When `reverse` is checked, the values will return in the opposite order.
 
-## Limit
+### Limit
 
 Use this transformation to limit the number of rows displayed.
 
@@ -569,7 +644,7 @@ Here is the result after adding a Limit transformation with a value of '3':
 | 2020-07-07 11:34:20 | Humidity    | 22    |
 | 2020-07-07 10:32:20 | Humidity    | 29    |
 
-## Join by field (Inner join)
+### Join by field (Inner join)
 
 Use this transformation to combine the results from multiple queries (combining on a passed join field or the first time column) into one single result and drop rows where a successful join isn't able to occur - performing an inner join.
 

docs/sources/troubleshooting/_index.md

@@ -27,7 +27,7 @@ For more information, refer to [Enable debug logging in Grafana CLI]({{< relref
 
 Order of transformations matters. If the final data output from multiple transformations looks wrong, try changing the transformation order. Each transformation transforms data returned by the previous transformation, not the original raw data.
 
-For more information, refer to [Debug a transformation]({{< relref "../panels/transform-data/debug-transformation/" >}}).
+For more information, refer to [Debug a transformation]({{< relref "../panels/transform-data/#debug-a-transformation" >}}).
 
 ## Text missing with server-side image rendering (RPM-based Linux)
 

docs/sources/visualizations/graph-panel.md

@@ -25,7 +25,7 @@ The graph panel can render metrics as a line, a path of dots, or a series of bar
 Graph visualizations allow you to apply:
 
 - [Alerts]({{< relref "../alerting/" >}}) - This is the only type of visualization that allows you to set alerts.
-- [Transform data]({{< relref "../panels/transform-data/add-transformation-to-data/" >}})
+- [Transform data]({{< relref "../panels/transform-data/#add-a-transformation-function-to-data" >}})
 - [Add a field override]({{< relref "../panels/override-field-values/add-a-field-override/" >}})
 - [Configure thresholds]({{< relref "../panels/configure-thresholds/" >}})
 

docs/sources/whatsnew/whats-new-in-v7-0.md

@@ -65,9 +65,9 @@ In the future we will add more workflows and integrations so that correlating be
 
 The data you want to visualize can come from many different places and it is usually not in exactly the right form. Users can now transform non-time series data into tables (e.g., JSON files or even simple lookup tables) in seconds without any customization or additional overhead. They can then combine non-time series data with any other data in Grafana; data from an external database or a panel that already exists in one of their current dashboards.
 
-By chaining a simple set of point and click [transformations]({{< relref "../panels/transform-data/transformation-functions/" >}}), users will be able join, pivot, filter, re-name and do calculations to get the results they need. Perfect for operations across queries or data sources missing essential data transformations.
+By chaining a simple set of point and click [transformations]({{< relref "../panels/transform-data/#transformation-functions" >}}), users will be able join, pivot, filter, re-name and do calculations to get the results they need. Perfect for operations across queries or data sources missing essential data transformations.
 
-[Transformations]({{< relref "../panels/transform-data/about-transformation/" >}}) also adds the ability to do math across queries. Lots of data sources do not support this natively, so being able to do it in Grafana is a powerful feature.
+[Transformations]({{< relref "../panels/transform-data/" >}}) also adds the ability to do math across queries. Lots of data sources do not support this natively, so being able to do it in Grafana is a powerful feature.
 
 For users with large dashboards or with heavy queries, being able to reuse the query result from one panel in another panel can be a huge performance gain for slow queries (e.g log or sql queries). From the data source menu in the query editor, you can choose the `--dashboard--` option and then choose the query result from another panel on the same dashboard.
 
@@ -85,7 +85,7 @@ We are also introducing a new shared data model for both time series and table d
 - **Outer join:** Joins many time series/tables by a field. This can be used to outer join multiple time series on the _time_ field to show many time series in one table.
 - **Add field from calculation:** This is a powerful transformation that allows you perform many different types of math operations and add the result as a new field. Can be used to calculate the difference between two series or fields and add the result to a new field. Or multiply one field with another and add the result to a new field.
 
-Learn more about this feature in [Transformations]({{< relref "../panels/transform-data/transformation-functions/" >}}).
+Learn more about this feature in [Transformations](({{< relref "../panels/transform-data/#transformation-functions" >}}).
 
 ## Field options and overrides
 

docs/sources/whatsnew/whats-new-in-v7-2.md

@@ -84,8 +84,8 @@ You can now add override rules that use a regex matcher to choose which fields t
 
 Grafana 7.2 includes the following transformation enhancements:
 
-- A new [Group By]({{< relref "../panels/transform-data/transformation-functions/#group-by" >}}) transformation that allows you to group by multiple fields and add any number of aggregations for other fields.
+- A new [Group By]({{< relref "../panels/transform-data/#group-by" >}}) transformation that allows you to group by multiple fields and add any number of aggregations for other fields.
-- The [Labels to fields]({{< relref "../panels/transform-data/transformation-functions/#labels-to-fields" >}}) transformation now allows you to pick one label and use that as the name of the value field.
+- The [Labels to fields]({{< relref "../panels/transform-data/#labels-to-fields" >}}) transformation now allows you to pick one label and use that as the name of the value field.
 - You can drag transformations to reorder them. Remember that transformations are processed in the order they are listed in the UI, so think before you move something!
 
 {{< figure src="/static/img/docs/v72/transformations.gif" max-width="800px" caption="Group by and reordering of transformations" >}}

docs/sources/whatsnew/whats-new-in-v7-4.md

@@ -61,7 +61,7 @@ The following transformations were added in Grafana 7.4.
 
 The _Sort by_ transformation allows you to sort data before sending it to the visualization.
 
-For more information, refer to [Sort by]({{< relref "../panels/transform-data/transformation-functions/#sort-by" >}}).
+For more information, refer to [Sort by]({{< relref "../panels/transform-data/" >}}).
 
 #### Filter data by value transform
 
@@ -69,7 +69,7 @@ The new _Filter data by value_ transformation allows you to filter your data dir
 
 This transformation is very useful if your data source does not natively filter by values. You might also use this to narrow values to display if you are using a shared query.
 
-For more information, refer to [Filter data by value]({{< relref "../panels/transform-data/transformation-functions/#filter-data-by-value" >}}).
+For more information, refer to [Filter data by value]({{< relref "../panels/transform-data/#filter-data-by-value" >}}).
 
 ### New override option
 

docs/sources/whatsnew/whats-new-in-v8-1.md

@@ -60,7 +60,7 @@ Grafana 8.1 includes some significant enhancements to transformations, including
 
 #### Config from query (Beta)
 
-This transformation enables panel config (Threshold, Min, Max, etc.) to be derived from query results. For more information, refer to [Config from query results]({{< relref "../panels/transform-data/transformation-functions/#config-from-query-results" >}}).
+This transformation enables panel config (Threshold, Min, Max, etc.) to be derived from query results. For more information, refer to [Config from query results]({{< relref "../panels/transform-data/#config-from-query-results" >}}).
 
 #### Rows to fields (Beta)
 
@@ -82,7 +82,7 @@ Output:
 
 As you can see each row in the source data becomes a separate field. Each field now also has a max config option set. Options like **Min**, **Max**, **Unit** and **Thresholds** are all part of field configuration and if set like this will be used by the visualization instead of any options manually configured in the panel editor options pane.
 
-For more on how to use this transformation, refer to [Rows to fields transform]({{< relref "../panels/transform-data/transformation-functions/#rows-to-fields" >}}).
+For more on how to use this transformation, refer to [Rows to fields transform]({{< relref "../panels/transform-data/#rows-to-fields" >}}).
 
 #### Contextual & Inline Help