add Flux intro

content/v2.0/query-data/guides/conditional-logic.md

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+If you're just getting started with Flux queries, check out the following:
+
+- [Get started with Flux](/v2.0/query-data/get-started/) for a conceptual overview of Flux and parts of a Flux query.
+- [Execute queries](/v2.0/query-data/execute-queries/) to discover a variety of ways to run your queries.
+
 Flux provides `if`, `then`, and `else` conditional expressions that allow for powerful and flexible Flux queries.
 
 ##### Conditional expression syntax

content/v2.0/query-data/guides/exists.md

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+If you're just getting started with Flux queries, check out the following:
+
+- [Get started with Flux](/v2.0/query-data/get-started/) for a conceptual overview of Flux and parts of a Flux query.
+- [Execute queries](/v2.0/query-data/execute-queries/) to discover a variety of ways to run your queries.
+
 Use the Flux `exists` operator to check if an object contains a key or if that
 key's value is `null`.
 

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

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+If you're just getting started with Flux queries, check out the following:
+
+- [Get started with Flux](/v2.0/query-data/get-started/) for a conceptual overview of Flux and parts of a Flux query.
+- [Execute queries](/v2.0/query-data/execute-queries/) to discover a variety of ways to run your queries.
+
 With Flux, you can group data by any column in your queried data set.
 "Grouping" partitions data into tables in which each row shares a common value for specified columns.
 This guide walks through grouping data in Flux and provides examples of how data is shaped in the process.

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

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+If you're just getting started with Flux queries, check out the following:
+
+- [Get started with Flux](/v2.0/query-data/get-started/) for a conceptual overview of Flux and parts of a Flux query.
+- [Execute queries](/v2.0/query-data/execute-queries/) to discover a variety of ways to run your queries.
 
 Histograms provide valuable insight into the distribution of your data.
 This guide walks through using Flux's `histogram()` function to transform your data into a **cumulative histogram**.

content/v2.0/query-data/guides/join.md

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+If you're just getting started with Flux queries, check out the following:
+
+- [Get started with Flux](/v2.0/query-data/get-started/) for a conceptual overview of Flux and parts of a Flux query.
+- [Execute queries](/v2.0/query-data/execute-queries/) to discover a variety of ways to run your queries.
+
 The [`join()` function](/v2.0/reference/flux/stdlib/built-in/transformations/join) merges two or more
 input streams, whose values are equal on a set of common columns, into a single output stream.
 Flux allows you to join on any columns common between two data streams and opens the door

content/v2.0/query-data/guides/manipulate-timestamps.md

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+If you're just getting started with Flux queries, check out the following:
+
+- [Get started with Flux](/v2.0/query-data/get-started/) for a conceptual overview of Flux and parts of a Flux query.
+- [Execute queries](/v2.0/query-data/execute-queries/) to discover a variety of ways to run your queries.
+
 Every point stored in InfluxDB has an associated timestamp.
 Use Flux to process and manipulate timestamps to suit your needs.
 

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

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+If you're just getting started with Flux queries, check out the following:
+
+- [Get started with Flux](/v2.0/query-data/get-started/) for a conceptual overview of Flux and parts of a Flux query.
+- [Execute queries](/v2.0/query-data/execute-queries/) to discover a variety of ways to run your queries.
+
 [Flux](/v2.0/reference/flux), InfluxData's data scripting and query language,
 supports mathematic expressions in data transformations.
 This article describes how to use [Flux arithmetic operators](/v2.0/reference/flux/language/operators/#arithmetic-operators)

content/v2.0/query-data/guides/regular-expressions.md

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+If you're just getting started with Flux queries, check out the following:
+
+- [Get started with Flux](/v2.0/query-data/get-started/) for a conceptual overview of Flux and parts of a Flux query.
+- [Execute queries](/v2.0/query-data/execute-queries/) to discover a variety of ways to run your queries.
+
 Regular expressions (regexes) are incredibly powerful when matching patterns in large collections of data.
 With Flux, regular expressions are primarily used for evaluation logic in predicate functions for things
 such as filtering rows, dropping and keeping columns, state detection, etc.

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

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 ---
 
+If you're just getting started with Flux queries, check out the following:
+
+- [Get started with Flux](/v2.0/query-data/get-started/) for a conceptual overview of Flux and parts of a Flux query.
+- [Execute queries](/v2.0/query-data/execute-queries/) to discover a variety of ways to run your queries.
+
 The [`sort()`function](/v2.0/reference/flux/stdlib/built-in/transformations/sort)
 orders the records within each table.
 The following example orders system uptime first by region, then host, then value.

content/v2.0/query-data/guides/sql.md

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 ---
 
+If you're just getting started with Flux queries, check out the following:
+
+- [Get started with Flux](/v2.0/query-data/get-started/) for a conceptual overview of Flux and parts of a Flux query.
+- [Execute queries](/v2.0/query-data/execute-queries/) to discover a variety of ways to run your queries.
+
 The [Flux](/v2.0/reference/flux) `sql` package provides functions for working with SQL data sources.
 [`sql.from()`](/v2.0/reference/flux/stdlib/sql/from/) lets you query SQL data sources
 like [PostgreSQL](https://www.postgresql.org/) and [MySQL](https://www.mysql.com/)

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

@@ -12,6 +12,11 @@ weight: 202
 v2.0/tags: [flux, aggregates]
 ---
 
+If you're just getting started with Flux queries, check out the following:
+
+- [Get started with Flux](/v2.0/query-data/get-started/) for a conceptual overview of Flux and parts of a Flux query.
+- [Execute queries](/v2.0/query-data/execute-queries/) to discover a variety of ways to run your queries.
+
 A common operation performed with time series data is grouping data into windows of time,
 or "windowing" data, then aggregating windowed values into a new value.
 This guide walks through windowing and aggregating data with Flux and demonstrates

content/v2.0/reference/flux/stdlib/monitor/check.md

@@ -1,7 +1,7 @@
 ---
 title: monitor.check() function
 description: >
-  The `monitor.check()` function function checks input data and assigns a level
+  The `monitor.check()` function checks input data and assigns a level
   (`ok`, `info`, `warn`, or `crit`) to each row based on predicate functions.
 aliases:
   - /v2.0/reference/flux/functions/monitor/check/
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-The `monitor.check()` function function checks input data and assigns a level
+The `monitor.check()` function checks input data and assigns a level
 (`ok`, `info`, `warn`, or `crit`) to each row based on predicate functions.
 
 _**Function type:** Transformation_