# data[].attributes.body
Night Club

# data[].attributes.body
Golf Course

# data[].attributes.body
Post Office

# data[].attributes.body
Street Sign

# data[].attributes.body
City Hall

# data[].attributes.body
House

# data[].attributes.body
A Bus Stop

# data[].attributes.body
Garage

# data[].attributes.body
Museum

# data[].attributes.body
Gas Station, Fuel Station

# data[].attributes.body
School

# data[].attributes.body
Park

# data[].attributes.body
Red Light

# data[].attributes.body
Supermarket

# data[].attributes.body
Garden

# data[].attributes.body
Coffee Shop

# data[].attributes.body
Stadium

# data[].attributes.body
Bank

# data[].attributes.body
Buisiness

# data[].attributes.body
Pedestrian

# data[].attributes.body
Traffic

# data[].attributes.body
Street

# data[].attributes.body
Store

# data[].attributes.body
Parking

# data[].attributes.body
Restaurant

# data[].attributes.body
In your Locker- Couldn't get into the lockers

# data[].attributes.body
In a Rare Place

# data[].attributes.body
East

# data[].attributes.body
West

# data[].attributes.body
Down, Below

# data[].attributes.body
Up, Above

# data[].attributes.body
South

# data[].attributes.body
North

# data[].attributes.body
Far Away

# data[].attributes.body
Close

# data[].attributes.body
Next to, Nearby- Bird House to Tree

# data[].attributes.body
Opposite

# data[].attributes.body
Between

# data[].attributes.body
In, on

# data[].attributes.body
Above

# data[].attributes.body
Behind

# data[].attributes.body
Underneath

# data[].attributes.body
(In front of)