Fixed examples for new data

Author: dfreniche

docs/30-simple-queries/8-aggregation-options.mdx

@@ -7,12 +7,13 @@ Extra activity, do it if you have extra time or are following at home, won't be
 
 We can pass a document to `aggregate` with some options
 
+```js
 let options = {
     maxTimeMS: 100
 };
 
 db.authors.aggregate([], options);
-
+```
 
 💻 Have a look at the [different options you can pass to the aggregate method](https://www.mongodb.com/docs/manual/reference/method/db.collection.aggregate/#mongodb-method-db.collection.aggregate).
 

docs/40-using-arrays/1-simple-match-array.mdx

@@ -19,8 +19,7 @@ I got this one (can change depending on the data source you imported)
   name: 'Richard Bruce Wright',
   sanitizedName: 'richardbrucewright',
   books: [
-    '0002005018',
-    '0771597185'
+    '0002005018'
   ],
   aliases: [
     'Wright, Richard Bruce'
@@ -36,16 +35,16 @@ db.authors.aggregate([
 ])
 ```
 
-💻 Get book's author name for ISBN `9780439139595`:
+💻 Get book's author name for ISBN `0395623650`:
 
 <details>
 <summary>Answer</summary>
 <div>
 
 ```js
-db.authors.aggregate([{$match: {books: "9780439139595"}}])
+db.authors.aggregate([{$match: {books: "0395623650"}}])
 
->   name: 'J.K. Rowling',
+>   name: 'Juan Ramón Jiménez',
 ```
 </div>
 </details>
@@ -64,7 +63,7 @@ db.authors.aggregate([
 ])
 ```
 
-💻 Who wrote the most books?
+💻 Who wrote the most books? (we can sort using `{ $sort: {"bookCount": -1}}`)
 
 <details>
 <summary>Answer</summary>
@@ -83,7 +82,6 @@ let orderByNumberOfBooksDesc = { $sort: {"bookCount": -1}}
 let getOne = {$limit: 1}
 
 db.authors.aggregate([
-    
     addNumberBooks,
     orderByNumberOfBooksDesc,
     getOne,

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

@@ -55,10 +55,13 @@ db.books.aggregate([
 
 Here we're getting a copy of each book for each object inside the `$attributes` array. This "flattens" the array and returns many copies of the same documents, one for each different attribute that we have which will be different for each of these generated docs.
 
-To understand `$unwind`, run this aggregation
+To better understand `$unwind`, run this aggregation
 
+```js
 db.books.aggregate([
-  { $match: {_id: "0002158698"} },
-  { $unwind : "$genres" },
-  { $project: {vectorizedSynopsis: 0, attributes: 0}}
+  { $match: {_id: "0395623650"} },
+  { $unwind : "$attributes" },
 ]);
+```
+
+You should get one document per attribute of the original book.

docs/50-counting-sorting/1-counting-documents.mdx

@@ -1,29 +1,31 @@
 # $count
 
-How can we be sure that this pipeline is returning exactly 10 books?
+How can we be sure that this pipeline is returning exactly 2 books?
 
 ```js
-let booksFrom1991With150pages = {$match: {year: 1991, pages: 150}};
+let moreThan150pages =  {pages: {$gte: 150}}
+let booksFrom1985WithMoreThan150pages = {$match: {$and: [{year: 1985}, moreThan150pages]}};
 let showOnlyTheseFields = {$project: {_id: 0, title: 1, year: 1, totalInventory: 1, available: 1}};
-let getJust15books =  {$limit: 10};
+let getJust15books =  {$limit: 15};
 
 db.books.aggregate([
-    booksFrom1991With150pages,
+    booksFrom1985With150pages,
     showOnlyTheseFields,
-    getJust15books
+    getJust15books,
 ]);
 ```
 
 Counting the books! Let's add a new stage to the pipeline to count those books:
 
 ```js
-let booksFrom1991With150pages = {$match: {year: 1991, pages: 150}};
+let moreThan150pages =  {pages: {$gte: 150}}
+let booksFrom1985WithMoreThan150pages = {$match: {$and: [{year: 1985}, moreThan150pages]}};
 let showOnlyTheseFields = {$project: {_id: 0, title: 1, year: 1, totalInventory: 1, available: 1}};
-let getJust15books =  {$limit: 10};
+let getJust15books =  {$limit: 15};
 let count = {$count: "totalBooks"}
 
 db.books.aggregate([
-    booksFrom1991With150pages,
+    booksFrom1985With150pages,
     showOnlyTheseFields,
     getJust15books,
     count,
@@ -34,7 +36,7 @@ Here, `$count` will count the resulting docs and will return a document with jus
 
 ```js
 {
-  totalBooks: 10
+  totalBooks: 2
 }
 ```
 
@@ -53,16 +55,17 @@ db.authors.aggregate([{$count: "authorCount"}])
 
 ## The order of stages is important
 
-If we count after the `$match` stage, the document we're passing to the next steps contains only the `totalBooks` field. So the `$project` will return an empty document.
+If we count after the `$match` stage, the document we're passing to the next steps contains only the `totalBooks` field. So the `$project` stage will return an empty document.
 
 ```js
-let booksFrom1991With150pages = {$match: {year: 1991, pages: 150}};
+let moreThan150pages =  {pages: {$gte: 150}}
+let booksFrom1985WithMoreThan150pages = {$match: {$and: [{year: 1985}, moreThan150pages]}};
 let showOnlyTheseFields = {$project: {_id: 0, title: 1, year: 1, totalInventory: 1, available: 1}};
-let getJust15books =  {$limit: 10};
+let getJust15books =  {$limit: 15};
 let count = {$count: "totalBooks"}
 
 db.books.aggregate([
-    booksFrom1991With150pages,
+    booksFrom1985With150pages,
     count,
     showOnlyTheseFields,
     getJust15books,