# data[].attributes.body
-Trains
-Horses
-Boats

# data[].attributes.body
-5 million to 19 million from 1800 -1860

# data[].attributes.body
-Schooling
-Trade

# data[].attributes.body
-Industrial
-Manufacturing

# data[].attributes.body
-Industrial
-Crowded
-Dirty

# data[].attributes.body
-Rocky, hilly, infertile soil
-Forests
-Rivers

# data[].attributes.body
-Warm and humid summers
-Cold and snowy winters