Release 08.05.2024

* Added information on filtering charts by charts. * Fixes and improvements. * Translations updated.
datalens-tech · May 8, 2024 · a3d8321 · a3d8321
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diff --git a/en/_assets/console-icons/xmark.svg b/en/_assets/console-icons/xmark.svg
diff --git a/en/_assets/datalens/clear-filters.svg b/en/_assets/datalens/clear-filters.svg
diff --git a/en/_assets/datalens/concepts/SampleSelectorShopID-int.png b/en/_assets/datalens/concepts/SampleSelectorShopID-int.png
diff --git a/en/_assets/datalens/concepts/SampleSelectorShopID.png b/en/_assets/datalens/concepts/SampleSelectorShopID.png
diff --git a/en/_assets/datalens/concepts/SampleSelectorShopName-int.png b/en/_assets/datalens/concepts/SampleSelectorShopName-int.png
diff --git a/en/_assets/datalens/concepts/SampleSelectorShopName.png b/en/_assets/datalens/concepts/SampleSelectorShopName.png
diff --git a/en/_assets/datalens/concepts/alias-date-1-int.png b/en/_assets/datalens/concepts/alias-date-1-int.png
diff --git a/en/_assets/datalens/concepts/alias-date-1.png b/en/_assets/datalens/concepts/alias-date-1.png
diff --git a/en/_assets/datalens/concepts/alias-date-2-int.png b/en/_assets/datalens/concepts/alias-date-2-int.png
diff --git a/en/_assets/datalens/concepts/alias-date-2.png b/en/_assets/datalens/concepts/alias-date-2.png
diff --git a/en/_assets/datalens/concepts/dashboard-link-example.gif b/en/_assets/datalens/concepts/dashboard-link-example.gif
diff --git a/en/_assets/datalens/cross.svg b/en/_assets/datalens/cross.svg
diff --git a/en/_includes/datalens/datalens-data-join-wrong-example.md b/en/_includes/datalens/datalens-data-join-wrong-example.md
@@ -1,4 +1,6 @@
-When creating a link between widgets on a dashboard, you may encounter a situation when the link does not work. This usually happens when you create a link between a selector and a chart built from different datasets. The cause is a link between widgets based on a field not used to pick values in the selector:
+When creating a link between widgets on a dashboard, you may encounter a situation when the link does not work. This usually happens when you create a link between a selector and a chart built from different datasets. Such widgets end up being linked based on a field that is not used in the selector.
+
+Let's consider this case as an example:
 
 1\. There is a chart on the dashboard named `Sample: Sales trends` built from a dataset called `Sample CH Sales`.
 
@@ -18,21 +20,13 @@ There is a field in the dataset (chart) called `ShopID` which takes string value
 
 4\. We will create a link between the selector and the `Sample: Sales trends` chart using an alias. It is not possible to create a link based on the store name since it is not included in the `Sample CH Sales` dataset used to build the chart.
 
+![image](../../_assets/datalens/concepts/SampleSelectorShopName.png)
 
-   ![image](../../_assets/datalens/concepts/SampleSelectorShopName-int.png)
-
-   Therefore, we will create the link using the `ShopID` field.
-
-   ![image](../../_assets/datalens/concepts/SampleSelectorShopID-int.png)
-
-
-As a result, the values picked by the selector do not have any effect on chart visualization because the widgets are linked through the `ShopID` field, and the selector picks its values from the `ShopName` field.
-
-{% note warning %}
+Therefore, we will create the link using the `ShopID` field.
 
-At the same time, the values picked by the selector don't have any effect on chart visualization.
+![image](../../_assets/datalens/concepts/SampleSelectorShopID.png)
 
-{% endnote %}
+As a result, the values you choose in the selector do not have any effect on chart visualization because the widgets are linked through the `ShopID` field, and the the selector picks its values from the `ShopName` field.
 
 
 The link is illegal because you cannot use one field to pick values for a dataset-based selector and a different field as the target of a link between datasets. This link mechanism is not supported.
diff --git a/en/_includes/datalens/datalens-limits.md b/en/_includes/datalens/datalens-limits.md
@@ -12,14 +12,14 @@ _Limits_ are technical limitations due to {{ datalens-short-name }} architectura
 
 
 | Type of limit | Value |
-| ----- | ----- |
+----- | -----
 | Maximum number of tables in a single dataset | 32 |
 | Maximum number of fields in a single dataset | 1,200 |
 
 
 #### Chart data limits {#datalens-chart-data-limits}
 
-Charts in {{ datalens-short-name }} can only display a limited amount of data. If the number of rows (columns and cells for pivot tables) in a dataset exceeds the established limit, the chart will not be built. Therefore, to build a chart from data in a large dataset, select a part of the data to display based on the limits below using [filters](../../datalens/concepts/dataset/settings.md#default-setting):
+Charts in {{ datalens-short-name }} can only display a limited amount of data. If the number of rows (columns and cells for pivot tables) in a dataset exceeds the established limit, the chart will not be built. Therefore, to build a chart from data in a large dataset, select a part of the data to display based on the limits below using the [filters](../../datalens/concepts/dataset/settings.md#default-setting):
 
 | Chart type | Limit |
 ----- | -----

diff --git a/en/_includes/datalens/datalens-sql-ch-example.md b/en/_includes/datalens/datalens-sql-ch-example.md
@@ -1,11 +1,11 @@
-{% cut "Query example for a {{ CH }} database" %}
+{% cut "Example database query {{ CH }}" %}
 
 ```sql
 SELECT Category, Month, ROUND(SUM(Sales))
 FROM samples.SampleLite
-WHERE Category in not_var{{category}} -- a variable used in the selector
-GROUP BY Category, Month -- grouping by category and month
-ORDER BY Category, Month -- sorting by category and month
+WHERE Category in not_var{{category}}: A variable used in the selector
+GROUP BY Category, Month: Grouping by category and month
+ORDER BY Category, Month: Sorting by category and month
 ```
 
-{% endcut %}
+{% endcut %}
diff --git a/en/_includes/datalens/internal/datalens-yt-connection.md b/en/_includes/datalens/internal/datalens-yt-connection.md
@@ -1,8 +1,7 @@
 To create a {{ ytsaurus-name }} CHYT connection:
 
-
-1. Go to the [connections page](https://datalens.yandex.ru/connections).
-1. Click **Create connection**.
+1. Go to the [connections page]({{ link-datalens-main }}/connections).
+1. Click **Create connection**.
 1. Select **{{ ytsaurus-name }} CHYT** as the connection type.
 
 
@@ -17,7 +16,7 @@ To create a {{ ytsaurus-name }} CHYT connection:
    * **HTTPS**: Enable the secure connection option if your server supports HTTPS.
 
 
-1. Click **Create connection**.
+1. Click **Create connection**.
 1. Enter a name for the connection and click **Create**.
 
 {% include [datalens-check-host](../../../_includes/datalens/operations/datalens-check-host.md) %}

diff --git a/en/_includes/datalens/operations/datalens-workbooks-collections-note-step4.md b/en/_includes/datalens/operations/datalens-workbooks-collections-note-step4.md
@@ -0,0 +1,10 @@
+{% note warning %}
+
+If you use a new {{ datalens-short-name }} object model with [workbooks and collections](../../../datalens/workbooks-collections/index.md):
+
+1. Go to the {{ datalens-short-name }} [home page]({{ link-datalens-main }}). In the left-hand panel, select ![collections](../../../_assets/console-icons/rectangles-4.svg) **Collections and workbooks**.
+1. Open the workbook, click **Create** in the top-right corner, and select the appropriate object.
+
+Follow the guide from step 4.
+
+{% endnote %}
diff --git a/en/datalens/concepts/aggregation-tutorial.md b/en/datalens/concepts/aggregation-tutorial.md
@@ -2,7 +2,7 @@
 
 This section describes how data aggregation and grouping work in {{ datalens-short-name }}, how to correctly formulate expressions with aggregations, and also gives examples of SQL queries with aggregations for {{ CH }}.
 
-The [Selling.csv](https://storage.yandexcloud.net/doc-files/Selling.csv) file will be used as the source of data on sales in cities.
+As source data, we will use the [Selling.csv](https://storage.yandexcloud.net/doc-files/Selling.csv) file with the data on sales in cities.
 
 ## SQL basic concepts {#basic-sql}
 
@@ -32,7 +32,7 @@ There are two ways to use aggregate functions:
 
 In this case, aggregate functions calculate and return a single resulting value for all rows that are combined into a single group.
 
-For example, to get the sum of values in the `Sales` column from the table `Selling`, you need to run a query:
+For example, to get the sum of values in the `Sales` column from the table `Selling`, you need to run the following query:
 
 ```sql
 SELECT