Merge branch 'main' into patch-1

Author: dfreniche

docs/30-simple-queries/2-match.mdx

@@ -20,13 +20,13 @@ The `<expression>` portion of the $match operator can be any valid MongoDB expre
 
 ## Matching book documents
 
-<Tabs groupId="aggregations-year">
+<Tabs groupId="aggregations">
   <TabItem value="atlas" label="Atlas UI">
 
     First, make sure you select the `books` collection in the Atlas UI. 
     <Screenshot src="/img/30-simple-queries/select-books-collection.png" url="http://cloud.mongodb.com/" alt="Atlas UI database deployment with the books collection highlighted." />
 
-    Then, navigate to the `Aggregation` tab and click `Add Stage`.
+    Then, navigate to the `Aggregation` tab and click `</> TEXT`.
     <Screenshot src="/img/30-simple-queries/new-aggregation.png" url="http://cloud.mongodb.com/" alt="Atlas UI database deployment with aggregation tab highlighted." />
 
     Say we want all the books from the year 2010. We can add a `$match` stage to filter the documents from the books collection:
@@ -58,7 +58,7 @@ The `<expression>` portion of the $match operator can be any valid MongoDB expre
 <summary>Answer</summary>
 <div>
 
-<Tabs groupId="aggregations-pages">
+<Tabs groupId="aggregations">
   <TabItem value="atlas" label="Atlas UI">
 ```js
 [
@@ -84,9 +84,9 @@ db.books.aggregate([{$match: {pages: 100}}])
 
 If we need to add more conditions using AND, we can do it with the `$and` operator.
 
-If we want all the books with 100 pages with exactly `totalInventory` 2 we can use an `$and` operator. This takes and array of documents with all the conditions that should be true for the AND to succeed:
+If we want all the books with 100 pages with exactly `totalInventory` 2 we can use an `$and` operator. This takes an array of documents with all the conditions that should be true for the AND to succeed:
 
-<Tabs groupId="aggregations-and">
+<Tabs groupId="aggregations">
   <TabItem value="atlas" label="Atlas UI">
 ```js
 [
@@ -187,7 +187,7 @@ db.books.aggregate([{$match: {$and: [{pages: 100}, {year: 2015}]}}]).itcount()
 
 We can do an implicit AND just passing a document with all the conditions (instead of an array of documents):
 
-<Tabs groupId="aggregations-shorthand-and">
+<Tabs groupId="aggregations">
   <TabItem value="atlas" label="Atlas UI">
 ```js
 [
@@ -211,7 +211,7 @@ db.books.aggregate([{$match: {pages: 100, totalInventory: 2}}])
 <summary>Answer</summary>
 <div>
 
-<Tabs groupId="aggregations-shorthand-and-exercise">
+<Tabs groupId="aggregations">
   <TabItem value="atlas" label="Atlas UI">
 ```js
 [
@@ -228,4 +228,4 @@ db.books.aggregate([{$match: {pages: 100, year: 2015}}])
   </TabItem>
 </Tabs>
 </div>
-</details>
+</details>

docs/30-simple-queries/3-project.mdx

@@ -62,7 +62,7 @@ A document from the `books` collection looks like:
 If we're interested just in the titles, we can use `$project` to select just the fields we're interested in. As an example, to get just the book's title and year we'll write:
 
 
-<Tabs groupId="project">
+<Tabs groupId="aggregations">
   <TabItem value="atlas" label="Atlas UI">
 ```js
 [

docs/40-using-arrays/2-search-inside-objects-in-arrays.mdx

@@ -1,6 +1,6 @@
 # 👐 Searching inside Objects in arrays
 
-In our books we're using the [Attribute Pattern](https://www.mongodb.com/developer/products/mongodb/attribute-pattern/) to have different attributes in our documents. As we can see in the [sample doc](/docs/simple-queries/project) we have an `attributes` array, containing several objects, each with the same structure:
+In the books collection, we're using the [Attribute Pattern](https://www.mongodb.com/developer/products/mongodb/attribute-pattern/) to store different attributes in our documents. As we can see in the [sample doc](/docs/simple-queries/project), we have an `attributes` array, containing several objects, each with the same structure:
 
 ```js
 attributes: [