WIP adding list code examples to flux query guides

content/v2.0/query-data/flux/group-data.md

@@ -1,17 +1,22 @@
 ---
 title: Group data in InfluxDB with Flux
-list_title: Group data
+list_title: Group
 description: >
-  This guide walks through grouping data with Flux by providing examples and
-  illustrating how data is shaped throughout the process.
+  Use the [`group()` function](/v2.0/reference/flux/stdlib/built-in/transformations/group)
+  to group data with common values in specific columns.
 v2.0/tags: [group]
 menu:
   v2_0:
-    name: Group data
+    name: Group
     parent: Query with Flux
 weight: 202
 aliases:
- - /v2.0/query-data/guides/group-data/
+  - /v2.0/query-data/guides/group-data/
+list_code_example: |
+  ```js
+  data
+    |> group(columns: ["cpu", "host"], mode: "by")
+  ```
 ---
 
 With Flux, you can group data by any column in your queried data set.

content/v2.0/query-data/flux/histograms.md

@@ -1,15 +1,28 @@
 ---
 title: Create histograms with Flux
-list_title: Create histograms
-description: This guide walks through using the `histogram()` function to create cumulative histograms with Flux.
+list_title: Histograms
+description: >
+  Use the [`histogram()` function](/v2.0/reference/flux/stdlib/built-in/transformations/histogram/)
+  to create cumulative histograms with Flux.
 v2.0/tags: [histogram]
 menu:
   v2_0:
-    name: Create histograms
+    name: Histograms
     parent: Query with Flux
 weight: 210
 aliases:
- - /v2.0/query-data/guides/histograms/
+  - /v2.0/query-data/guides/histograms/
+list_code_example: |
+  ```js
+  data
+    |> histogram(
+      column: "_value",
+      upperBoundColumn: "le",
+      countColumn: "_value",
+      bins: [50.0, 75.0, 90.0],
+      normalize: false)
+    )
+  ```
 ---
 
 Histograms provide valuable insight into the distribution of your data.

content/v2.0/query-data/flux/mathematic-operations.md

@@ -2,7 +2,9 @@
 title: Transform data with mathematic operations
 seotitle: Transform data with mathematic operations in Flux
 list_title: Transform data with math
-description: This guide describes how to use Flux to transform data with mathematic operations.
+description: >
+  Use the [`map()` function](/v2.0/reference/flux/stdlib/built-in/transformations/map)
+  to remap column values and apply mathematic operations.
 v2.0/tags: [math, flux]
 menu:
   v2_0:
@@ -10,7 +12,12 @@ menu:
     parent: Query with Flux
 weight: 205
 aliases:
- - /v2.0/query-data/guides/mathematic-operations/
+  - /v2.0/query-data/guides/mathematic-operations/
+list_code_example: |
+  ```js
+  data
+    |> map(fn: (r) => ({ r with _value: r._value * r._value }))
+  ```
 ---
 
 [Flux](/v2.0/reference/flux), InfluxData's data scripting and query language,

content/v2.0/query-data/flux/query-fields.md

@@ -2,7 +2,7 @@
 title: Query fields and tags
 seotitle: Query fields and tags in InfluxDB using Flux
 description: >
-    Use the `filter()` function to query data based on fields, tags, or any other column value.
+    Use the [`filter()` function](/v2.0/reference/flux/stdlib/built-in/transformations/filter/) to query data based on fields, tags, or any other column value.
     `filter()` performs operations similar to the `SELECT` statement and the `WHERE`
     clause in InfluxQL and other SQL-like query languages.
 weight: 201
@@ -10,6 +10,16 @@ menu:
   v2_0:
     parent: Query with Flux
 v2.0/tags: [query, select, where]
+list_code_example: |
+  ```js
+  from(bucket: "example-bucket")
+    |> range(start: -1h)
+    |> filter(fn: (r) =>
+        r._measurement == "example-measurement" and
+        r._field == "example-field" and
+        r.tag == "example-tag"
+    )
+  ```
 ---
 
 Use the [`filter()` function](/v2.0/reference/flux/stdlib/built-in/transformations/filter/)

content/v2.0/query-data/flux/sort-limit.md

@@ -1,22 +1,32 @@
 ---
 title: Sort and limit data with Flux
 seotitle: Sort and limit data in InfluxDB with Flux
-list_title: Sort and limit data
+list_title: Sort and limit
 description: >
-  This guide walks through sorting and limiting data with Flux and outlines how
-  it shapes your data in the process.
+  Use the [`sort()`function](/v2.0/reference/flux/stdlib/built-in/transformations/sort)
+  to order records within each table by specific columns and the
+  [`limit()` function](/v2.0/reference/flux/stdlib/built-in/transformations/limit)
+  to limit the number of records in output tables to a fixed number, `n`.
 v2.0/tags: [sort, limit]
 menu:
   v2_0:
-    name: Sort and limit data
+    name: Sort and limit
     parent: Query with Flux
 weight: 203
 aliases:
- - /v2.0/query-data/guides/sort-limit/
+  - /v2.0/query-data/guides/sort-limit/
+list_code_example: |
+  ```js
+  data
+    |> sort(columns: ["host", "_value"])
+    |> limit(n: 10)
+  ```
 ---
 
-The [`sort()`function](/v2.0/reference/flux/stdlib/built-in/transformations/sort)
-orders the records within each table.
+Use the [`sort()`function](/v2.0/reference/flux/stdlib/built-in/transformations/sort)
+to order records within each table by specific columns and the
+[`limit()` function](/v2.0/reference/flux/stdlib/built-in/transformations/limit)
+to limit the number of records in output tables to a fixed number, `n`.
 
 If you're just getting started with Flux queries, check out the following:
 

content/v2.0/query-data/flux/window-aggregate.md

@@ -1,18 +1,23 @@
 ---
 title: Window and aggregate data with Flux
 seotitle: Window and aggregate data in InfluxDB with Flux
-list_title: Window & aggregate data
+list_title: Window & aggregate
 description: >
   This guide walks through windowing and aggregating data with Flux and outlines
   how it shapes your data in the process.
 menu:
   v2_0:
-    name: Window & aggregate data
+    name: Window & aggregate
     parent: Query with Flux
 weight: 204
 v2.0/tags: [flux, aggregates]
 aliases:
- - /v2.0/query-data/guides/window-aggregate/
+  - /v2.0/query-data/guides/window-aggregate/
+list_code_example: |
+  ```js
+  data
+    |> aggregateWindow(every: 5m, fn: mean)
+  ```
 ---
 
 A common operation performed with time series data is grouping data into windows of time,