Update source/includes/geospatial-places-data-setup.rst

Co-authored-by: jeff-allen-mongo <[email protected]>

Author: ianf-mongodb

source/geospatial-queries.txt

@@ -296,7 +296,7 @@ Examples
 
 .. include:: /includes/geospatial-places-data-setup.rst
 
-Consider the ``places`` collection above, it has a ``2dsphere`` index.
+The ``places`` collection above has a ``2dsphere`` index.
 The following query uses the :query:`$near` operator to return
 documents that are at least 1000 meters from and at most 5000 meters
 from the specified GeoJSON point, sorted in order from nearest to

source/includes/geospatial-places-data-setup.rst

@@ -2,24 +2,23 @@ Create a collection ``places`` with the following documents:
 
 .. code-block:: javascript
 
-   db.places.insertMany(
-      [
-         {
-            name: "Central Park",
-            location: { type: "Point", coordinates: [ -73.97, 40.77 ] },
-            category: "Parks"
-         } ,
-         {
-            name: "Sara D. Roosevelt Park",
-            location: { type: "Point", coordinates: [ -73.9928, 40.7193 ] },
-            category: "Parks"
-         } ,
-         {
-            name: "Polo Grounds",
-            location: { type: "Point", coordinates: [ -73.9375, 40.8303 ] },
-            category: "Stadiums"
-         }
-      ])
+   db.places.insertMany( [
+      {
+         name: "Central Park",
+         location: { type: "Point", coordinates: [ -73.97, 40.77 ] },
+         category: "Parks"
+      },
+      {
+         name: "Sara D. Roosevelt Park",
+         location: { type: "Point", coordinates: [ -73.9928, 40.7193 ] },
+         category: "Parks"
+      },
+      {
+         name: "Polo Grounds",
+         location: { type: "Point", coordinates: [ -73.9375, 40.8303 ] },
+         category: "Stadiums"
+      }
+   ] )
 
 The following operation creates a ``2dsphere`` index on the
 ``location`` field: