more README fixes

Author: wescpy

README.md

@@ -8,22 +8,29 @@
 
 ## Description
 
-This intermediate Google Apps Script codelab shows you how to build a sample app that calls
-the Google BigQuery API to perform a query on one of its public data sets; in this case, a query
-that determines the top 10 most common words in Shakespeare's works. BigQuery has a collection
-of public data sets, so you're free to issue other queries against this or any other data table
-your desire in doing this exercise.
-
-The app stores the query results from BigQuery into a newly-created Google Sheet. The app then
-create a chart based on the results data. Finally, it creates a new Google Slides presentation
-with one slide featuring the data from the spreadsheet and another with the chart from the Sheet.
-
-The codelab supported by this repository can be found at https://g.co/codelabs/bigquery-sheets-slides). Follow its step-by-step instructions and refer to the corresponding repo folder as necessary to see where your app should be at the end of each step. The `final` subdirectory contains the completed, fully-working sample. The manifest file (see below) stays constant throughout the codelab and thus is stationed at the top-level of this repo. There are only 2 files for this entire sample:
-The sample app was inspired by other samples available from the [Google
-Developers](http://developers.google.com) team, combining and build on top of both of them:
-
-- `appsscript.json`: Apps Script application manifest
-- `final/bq-sheets-slides.js`: application code
+This intermediate Google Apps Script codelab shows you how to build a sample app that demonstrates
+use of the Google BigQuery API to query a public data set and create a Google Slides presentation
+with the results data. A Google Sheet is used as an intermediary to store the analysis data as
+well as its ability to create charts on its data.
+
+BigQuery first performs a query on one of its public data sets; in this case, a query that
+determines the top 10 most common words in Shakespeare's works. BigQuery has a collection of
+public data sets, so you're free to issue other queries against this or any other data table
+you desire in doing this exercise. The app stores the query results from BigQuery into a
+newly-created Google Sheet. The Sheets API is then used to create a chart based on the results
+data. Finally, a new Google Slides presentation is created. A new slide is added whereby the
+the Sheet's cell data is imported. A second new slide is added embedding (and linking to) the
+chart from the Sheet.
+
+This repo supports the developer codelab found at https://g.co/codelabs/bigquery-sheets-slides).
+Follow its step-by-step instructions and refer to the corresponding repo folder as necessary to
+see where your app should be at the end of each (major) step. The `final` subdirectory contains
+the completed, fully-working sample. The manifest file (see below) stays constant throughout the
+codelab and thus is stationed at the top-level of this repo. There are only 2 files for this
+entire sample:
+
+- [`appsscript.json`](https://github.com/googlecodelabs/bigquery-sheets-slides/blob/master/appsscript.json): Apps Script application manifest
+- [`final/bq-sheets-slides.js`](https://github.com/googlecodelabs/bigquery-sheets-slides/blob/master/final/bq-sheets-slides.js): application code
 
 ## Support