Fixed #10035 -- Corrected more typos in the aggregation docs. Thanks to Ivan...

For example, consider an author query that attempts to find out the average

rating of books written by each author:

    >>> Author.objects.annotate(average_rating=Avg('book_rating'))

    >>> Author.objects.annotate(average_rating=Avg('book__rating'))

This will return one result for each author in the database, annotate with

their average book rating.

However, the result will be slightly different if you use a ``values()`` clause::

    >>> Author.objects.values('name').annotate(average_rating=Avg('book_rating'))

    >>> Author.objects.values('name').annotate(average_rating=Avg('book__rating'))

In this example, the authors will be grouped by name, so you will only get

an annotated result for each *unique* author name. This means if you have

For example, if we reverse the order of the ``values()`` and ``annotate()``

clause from our previous example::

    >>> Author.objects.annotate(average_rating=Avg('book_rating')).values('name')

    >>> Author.objects.annotate(average_rating=Avg('book__rating')).values('name')

This will now yield one unique result for each author; however, only

the author's name and the ``average_rating`` annotation will be returned