docs: recipe for configurable rolling windows and time shifts via switch dimension (cube-js#11234)

* docs: recipe for configurable rolling windows and time shifts via switch dimension

* docs: de-nest template literals in the JS model sample for readability

* docs: group data-modeling recipes into themed sidebar sections; fix recipe card icon

* docs: nest recipe themes under Data Modeling, reorder sidebar, fix headings and icons

Author: igorlukanin

docs-mintlify/docs.json

@@ -617,27 +617,48 @@
               {
                 "group": "Data Modeling",
                 "pages": [
+                  {
+                    "group": "Calculations & Metrics",
+                    "pages": [
+                      "recipes/data-modeling/percentiles",
+                      "recipes/data-modeling/nested-aggregates",
+                      "recipes/data-modeling/filtered-aggregates",
+                      "recipes/data-modeling/share-of-total",
+                      "recipes/data-modeling/period-over-period"
+                    ]
+                  },
+                  {
+                    "group": "Query-time parameters",
+                    "pages": [
+                      "recipes/data-modeling/dynamic-rolling-windows",
+                      "recipes/data-modeling/passing-dynamic-parameters-in-a-query"
+                    ]
+                  },
+                  {
+                    "group": "Time Series & Calendars",
+                    "pages": [
+                      "recipes/data-modeling/string-time-dimensions",
+                      "recipes/data-modeling/custom-granularity",
+                      "recipes/data-modeling/custom-calendar",
+                      "recipes/data-modeling/snapshots"
+                    ]
+                  },
+                  {
+                    "group": "User & Event Analytics",
+                    "pages": [
+                      "recipes/data-modeling/active-users",
+                      "recipes/data-modeling/event-analytics",
+                      "recipes/data-modeling/cohort-retention"
+                    ]
+                  },
                   "recipes/data-modeling/style-guide",
                   "recipes/data-modeling/designing-metrics",
-                  "recipes/data-modeling/percentiles",
-                  "recipes/data-modeling/nested-aggregates",
-                  "recipes/data-modeling/filtered-aggregates",
-                  "recipes/data-modeling/share-of-total",
-                  "recipes/data-modeling/period-over-period",
-                  "recipes/data-modeling/passing-dynamic-parameters-in-a-query",
-                  "recipes/data-modeling/using-dynamic-measures",
-                  "recipes/data-modeling/dynamic-union-tables",
-                  "recipes/data-modeling/string-time-dimensions",
-                  "recipes/data-modeling/custom-granularity",
-                  "recipes/data-modeling/custom-calendar",
                   "recipes/data-modeling/entity-attribute-value",
-                  "recipes/data-modeling/snapshots",
-                  "recipes/data-modeling/active-users",
-                  "recipes/data-modeling/event-analytics",
-                  "recipes/data-modeling/cohort-retention",
                   "recipes/data-modeling/dbt",
-                  "recipes/data-modeling/custom-order",
-                  "recipes/data-modeling/polymorphic-cubes"
+                  "recipes/data-modeling/using-dynamic-measures",
+                  "recipes/data-modeling/dynamic-union-tables",
+                  "recipes/data-modeling/polymorphic-cubes",
+                  "recipes/data-modeling/custom-order"
                 ]
               },
               {

docs-mintlify/recipes/data-modeling/active-users.mdx

@@ -8,6 +8,14 @@ description: We want to know the customer engagement of our store. To do this, w
 We want to know the customer engagement of our store. To do this, we need to use
 an [Active Users metric](https://en.wikipedia.org/wiki/Active_users).
 
+<Note>
+
+This recipe defines a separate measure for each fixed window (daily, weekly, monthly).
+To let a data consumer choose the window at query time instead, see [Configurable rolling
+windows](/recipes/data-modeling/dynamic-rolling-windows).
+
+</Note>
+
 ## Data modeling
 
 Daily, weekly, and monthly active users are commonly referred to as DAU, WAU,