[#41] Fixes #41 added Pivot table demo gif

AlexP-Elastic · AlexP-Elastic · commit 6cb1036331d0 · 2019-04-30T13:29:39.000-04:00
diff --git a/Demos.md b/Demos.md
@@ -1,33 +1,34 @@
 This page contains some gifs demonstrating some of the key features of the tool.
 
-* [Demo A](https://github.com/Alex-At-Home/elasticsearch-sheets/blob/master/Demos.md#demo-a)
+* [Demo A](Demos.md#demo-a)
    * I create a Data Table for one of my indices  and discover it has hundreds of columns. I use the `Data Explorer`
    Map/Reduce template to build a summary of the data and then the Google Sheets filter to filter out boring fields.
    Finally I paste the filtered column into the Table's `Fields` selector and refresh, to make the table useful.
-* [Demo B](https://github.com/Alex-At-Home/elasticsearch-sheets/blob/master/Demos.md#demo-b)
+* [Demo B](Demos.md#demo-b)
    * I create a Data Table for a different index, and notice it has medium-sized arrays of (~30) complex objects.
    I use the custom function `buildEsSubTable` to turn one of the nested arrays into a table of its own.
-* [Demo C](https://github.com/Alex-At-Home/elasticsearch-sheets/blob/master/Demos.md#demo-c)
-   * The index from `Demo A` contains lineup statistics from basketball games. I use SQL to generate some simple
+* [Demo C](Demos.md#demo-c)
+   * The index from `Demo A` contains lineup statistics from basketball games. I use [SQL](https://www.elastic.co/products/stack/elasticsearch-sql) to generate some simple
      aggregations grouped by the lineup. I want to filter the statistics to be over only a certain class of opponent,
      but that's ~30 teams so cumbersome to type by hand. So I build another `GROUP BY` SQL table just listing the teams,
-     use an adjacent column to specify the opponent class, turn that into a SQL query with Google Sheets' `CONCATENATE`
-     , `TEXTJOIN`, and `FILTER` functions, and then inject that query into the Table.
-* [Demo D](https://github.com/Alex-At-Home/elasticsearch-sheets/blob/master/Demos.md#demo-d)
+     use an adjacent column to specify the opponent class, turn that into a SQL query with [Google Sheets' `CONCATENATE`
+     , `TEXTJOIN`, and `FILTER` functions](https://support.google.com/docs/table/25273?hl=en&ref_topic=9054531), and then inject that query into the Table.
+* [Demo D](Demos.md#demo-d)
    * There's a lot happening here, so I've split it into 3 parts:
-   * [Part 1](https://github.com/Alex-At-Home/elasticsearch-sheets/blob/master/Demos.md#part-1)
-      * I duplicate `Demo C` but using a combination of standard Elasticsearch aggregations (`terms` grouping, `sum` metric)
+   * [Part 1](Demos.md#part-1)
+      * I duplicate `Demo C` but using a combination of standard [Elasticsearch aggregations](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations.html) (`terms` grouping, `sum` metric)
       and Map/Reduce (a UI over the top of `scripted_metric`)
-   * [Part 2](https://github.com/Alex-At-Home/elasticsearch-sheets/blob/master/Demos.md#part-2)
+   * [Part 2](Demos.md#part-2)
       * The reason for using a more complex Map/Reduce in `Part 1` was to be able to adjust the statistics based on
       the strength of opponent. So I first use a Data Table on the advanced statistics index (from `Demo B`) to
-      list last year's opponents' strength. Then I use `VLOOKUP` on the teams actually faced (from `Demo C`) to check
+      list last year's opponents' strength. Then I use [`VLOOKUP`](https://support.google.com/docs/answer/3093318?hl=en) on the teams actually faced (from `Demo C`) to check
       the 2 data sources match (they don't for a couple of teams, so I fix that). This allows me to build a lookup table
       for the offensive and defensive strength of each opponent.
-   * [Part 3](https://github.com/Alex-At-Home/elasticsearch-sheets/blob/master/Demos.md#part-3)
-      * Now I edit the Aggregation Table from `Part 1` to add the lookup table, and then change the Map/Reduce job to
-        incorporate it
-* [Demo E](https://github.com/Alex-At-Home/elasticsearch-sheets/blob/master/Demos.md#demo-e)
+   * [Part 3](Demos.md#part-3)
+      * Now I edit the Aggregation Table from `Part 1` to add the lookup table, and then change the Map/Reduce job to incorporate it.
+* [Demo E](Demos.md#demo-e)
+   * A common Spreadsheet construct is the [pivot table](https://en.wikipedia.org/wiki/Pivot_table). In this demo I create a composite aggregation with 2 bucket fields then show how easy it is to build a 2d pivot table from that aggregation, using the [built-in Sheets functionality](https://support.google.com/docs/answer/1272900?co=GENIE.Platform%3DDesktop&hl=en&oco=1).
+* [Demo F](Demos.md#demo-f)
    * In this simple demo, I add a pagination feature to the table from `Demo D` so that I can scroll through the data.       
 
 # Demo A
@@ -47,28 +48,28 @@ I use the custom function `buildEsSubTable` to turn one the nested arrays into a
 
 # Demo C
 
-_The first index contains lineup statistics from basketball games. I use SQL to generate some simple
+_The first index contains lineup statistics from basketball games. I use [SQL](https://www.elastic.co/products/stack/elasticsearch-sql) to generate some simple
      aggregations grouped by the lineup. I want to filter the statistics to be over only a certain class of opponent,
      but that's ~30 teams so cumbersome to type by hand. So I build another `GROUP BY` SQL table just listing the teams,
-     use an adjacent column to specify the opponent class, turn that into a SQL query with Google Sheets' `CONCATENATE`
-     , `TEXTJOIN`, and `FILTER` functions, and then inject that query into the Table._
+     use an adjacent column to specify the opponent class, turn that into a SQL query with [Google Sheets' `CONCATENATE`
+     , `TEXTJOIN`, and `FILTER` functions](https://support.google.com/docs/table/25273?hl=en&ref_topic=9054531), and then inject that query into the Table._
 
 ![elastic-sheets-demo-C](https://user-images.githubusercontent.com/17573856/55519972-29c63380-5648-11e9-997f-110075eb31ce.gif)
 
 # Demo D
 
 ## Part 1
 
-_I duplicate `Demo C` but using a combination of standard Elasticsearch aggregations (`terms` grouping, `sum` metric)
-      and Map/Reduce (a UI over the top of `scripted_metric`)_
+_I duplicate `Demo C` but using a combination of standard [Elasticsearch aggregations](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations.html) (`terms` grouping, `sum` metric)
+      and Map/Reduce (a UI over the top of `scripted_metric`)._
 
 ![elastic-sheets-demo-Da](https://user-images.githubusercontent.com/17573856/55519979-2f237e00-5648-11e9-91df-9210eb8533c3.gif)
 
 ## Part 2
 
 _The reason for using a more complex Map/Reduce in `Part 1` was to be able to adjust the statistics based on
       the strength of opponent. So I first use a Data Table on the advanced statistics index (from `Demo B`) to
-      list last year's opponents' strength. Then I use `VLOOKUP` on the teams actually faced (from `Demo C`) to check
+      list last year's opponents' strength. Then I use [`VLOOKUP`](https://support.google.com/docs/answer/3093318?hl=en) on the teams actually faced (from `Demo C`) to check
       the 2 data sources match (they don't for a couple of teams, so I fix that). This allows me to build a lookup table
       for the offensive and defensive strength of each opponent._
 
@@ -77,12 +78,18 @@ _The reason for using a more complex Map/Reduce in `Part 1` was to be able to ad
 ## Part 3
 
 _Now I edit the Aggregation Table from `Part 1` to add the lookup table, and then change the Map/Reduce job to
-        incorportate it_
+        incorporate it._
 
 ![elastic-sheets-demo-Dc](https://user-images.githubusercontent.com/17573856/55519990-38ace600-5648-11e9-9185-466d1baf872f.gif)
 
 # Demo E
 
+_A common Spreadsheet construct is the [pivot table](https://en.wikipedia.org/wiki/Pivot_table). In this demo I create a composite aggregation with 2 bucket fields then show how easy it is to build a 2d pivot table from that aggregation, using the [built-in Sheets functionality](https://support.google.com/docs/answer/1272900?co=GENIE.Platform%3DDesktop&hl=en&oco=1)._
+
+![elastic-sheets-demo-E](https://user-images.githubusercontent.com/19776583/56977981-77996300-6b44-11e9-88d9-d876dbd0d85a.gif)
+
+# Demo F
+
 _In this simple demo, I add a pagination feature to the table from `Demo D` so that I can scroll through the data._
 
-![elastic-sheets-demo-E](https://user-images.githubusercontent.com/17573856/55519995-3d719a00-5648-11e9-8410-d6b0e97ae993.gif)
+![elastic-sheets-demo-F](https://user-images.githubusercontent.com/17573856/55519995-3d719a00-5648-11e9-8410-d6b0e97ae993.gif)
