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14 changes: 7 additions & 7 deletions docs/20-what-is-aggregation/2-sql-vs-aggregation.mdx
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Expand Up @@ -28,7 +28,7 @@ JOIN (

```

### Get annual, average and max spending from customers in all cities
### Get annual, average, and max spending from customers in all cities

```SQL
SELECT
Expand Down Expand Up @@ -58,11 +58,11 @@ GROUP BY city;

### Get authors’ bios with books that have an average 5-star rating

We o through 4 stages:
- group all the reviews for every book, calculating the average rating.
- filter out all average ratings other than 5.
- now we have reviews with 5 stars, but we also want the author bio, so we join with author to get the bio.
- we add a new field called `bio` with just the author's bio.
We go through four stages:
- Group all the reviews for every book, calculating the average rating.
- Filter out all average ratings other than 5.
- Now we have reviews with 5 stars, but we also want the author bio, so we join with author to get the bio.
- We add a new field called `bio` with just the author's bio.

```js
db.reviews.aggregate([
Expand Down Expand Up @@ -91,7 +91,7 @@ db.reviews.aggregate([
```


### Get annual, average and max spending from customers in all cities
### Get annual, average, and max spending from customers in all cities

Here we pass three stages: one to return one document per element in the `address` array, and then we filter out to get only the documents that have a `home` address location. Finally, we do the grouping. As we'll see, this can be split and tested separately and resembles our code.

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