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1. Change the source: If the table schema in the source has changed, you can select a new field from the source to match the dataset field.
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1. Change the field data type: [Data type](./data-types.md) determines how to process data and which [functions](../function-ref/all.md) can apply to the field. To change the data type, click the current type and select a new one from the list of available types.
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1. Select an aggregation type: Aggregation type determines the [aggregation function](./data-model.md#aggregation) to apply to the field. To change the aggregation type, click the current type and select a new one from the list of available aggregation types.
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1. Sort fields: You can sort fields by name, data type, aggregation type, and other parameters. To do this, use the sorting buttons at the top of the **Fields** table.
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1. Add a description: You can add a comment to a field in the **Description** column. This can help other users understand what the field is used for or how it is calculated.
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1. Hide fields: You can hide fields you do not need at the moment. Other users will not see these fields in the wizard when creating a chart. To do this, click .
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* If a field is present in both the dataset and the data source, the field will be updated, e.g., its type will change.
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* If a field is present in the dataset but missing in the data source, that field will be marked in red. Delete it from the dataset or [replace](#replace-field) it with a different field from the data source.
To select the field range, hold the **Shift** key and set the beginning and end of the range with your mouse. You can select multiple ranges. To select each of the field ranges, hold **Ctrl** and click the first field in the range, then hold **Shift** and click the last field in the range.
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## Adding parameters {#add-parameters}
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## Deleting a dataset {#delete}
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Before deleting a dataset, check which objects are using it. To do this, at the top of the dataset, click  →  **Linked objects**.
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Before deleting a dataset, check which objects are using it. To do this, at the top of the dataset, click  →  **Linked objects**. If an error appears when opening the linked object window, try clicking the **Retry** button.
Copy file name to clipboardExpand all lines: en/datalens/dataset/parametrization.md
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# Parameterization of dataset sources
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---
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title: Parameterization of dataset sources in {{ datalens-full-name }}
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description: Parameterization of dataset sources in {{ datalens-full-name }} allows you to dynamically substitute parameters from a chart into an SQL query or a table or schema name.
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---
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Parameterization of dataset sources allows you to dynamically substitute parameters from a chart into an SQL query or the name of a table or schema.
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# Parameterization of dataset sources in {{ datalens-full-name }}
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Parameterization of dataset sources allows you to dynamically substitute parameters from a chart into an SQL query or a table or schema name.
Copy file name to clipboardExpand all lines: en/datalens/dataset/versioning.md
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---
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title: Dataset versioning
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description: Dataset versioning means storing the history of dataset configuration changes through versions. A list of versions is available to users with the minimum {{ permission-write }} access permissions to the dataset.
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title: Dataset versioning in {{ datalens-full-name }}
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description: In {{ datalens-full-name }}, dataset versioning means storing the history of dataset configuration changes through versions. A list of versions is available to users with the minimum {{ permission-write }} access permissions to the dataset.
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---
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# Versioning
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# Versioning in {{ datalens-full-name }}
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Dataset versioning means storing the history of dataset configuration changes through versions. A list of versions is available to users with the minimum edit permission for the dataset.
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## Limitations {#restrictions}
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* You can only switch to versions created on or after December 1, 2024. Currently, if you edit a dataset created before this date, saving your changes will delete the previous version.
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*You can only get change history for the last three months.
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*Change history is only available for the last three months.
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* The change history only contains a list of dataset versions and indicates the version type, save date and time, and user who made the change.
Copy file name to clipboardExpand all lines: en/datalens/operations/chart/add-description.md
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---
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title: How to add chart info in {{ datalens-full-name }}
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description: Follow this guide to add chart info.
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description: Follow this guide to add chart info in {{ datalens-full-name }}.
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---
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# Adding chart info
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# Adding chart info in {{ datalens-full-name }}
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To add chart info, do the following:
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1. Open the chart to add info for.
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1. Click  at the top of the screen.
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1. Enter the description and click **Save**.
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1. Enter the information and click **Save**.
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{% cut "Adding chart info" %}
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1. In the top-right corner, click **Save**.
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As a result, all users will see the  icon in the top-right corner of the chart. Clicking it will open the **Chart info** window with the description.
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As a result, all users will see the  icon in the top-right corner of the chart. Clicking it will open the **Chart info** window with the information.
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{% cut "Viewing chart info" %}
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To remove chart info, save an empty field in the **Chart info** window. Users will no longer see the  icon.
As a result, all users will see the  icon in the top-right corner of the dashboard. Clicking it opens the **Dashboard info** window with the description.
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As a result, all users will see the  icon in the top-right corner of the dashboard. Clicking it will open the **Dashboard info** window with the information.
To remove the dashboard description, save an empty description in the **Dashboard info** window. Users will no longer see the  icon.
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To remove dashboard info, save an empty field in the **Dashboard info** window. Users will no longer see the  icon.
Copy file name to clipboardExpand all lines: en/datalens/workbooks-collections/index.md
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---
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title: '{{ datalens-full-name }} workbooks and collections'
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description: In this tutorial, you will learn about workbooks and collections, their specifics, and how to start using them.
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description: In this tutorial, you will learn about {{ datalens-full-name }} workbooks and collections, their features, and how to start using them.
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# {{ datalens-short-name }} workbooks and collections
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# {{ datalens-full-name }} workbooks and collections
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For more information about how to create a workbook or collection, see [{#T}](./workbooks-collections-create.md).
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## Viewing linked objects {#related-objects}
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You can look up where the object is used or which objects are used by it. Do it by clicking  → **Linked objects** on the workbook page or object editing window. For example, this can give you a clue as to the sources used to build a dashboard or the charts based on a certain dataset.
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