Another map! This one’s a choropleth map, where the counties are different colors to represent different data, in this case the percentage of the population over the age of 25 with a bachelor’s degree or higher. I know you were really curious about these figures for the state of Montana, so now you can finally see for yourself where the college folk live in Montana (not surprisingly, most of them live in the counties with major universities in them). The data came from the 2000 Census, the map was compiled in ArcMap, and then I made it look all purty in Illustrator.
The four maps represent four different ways to break the data into groups:
N-Tiles - equal number of counties in each group
Equal Intervals - each group represents an equal range of data (in this case about 7.1%)
Natural Gaps (the best method) - break the data into groups based on the natural breaks that appear when viewed on a number line
Nested Means - Take the range, find the average, split it there. Take your two new groups, find the average of each, and split each there.
Wanna download it? I won’t stop you.

Another map! This one’s a choropleth map, where the counties are different colors to represent different data, in this case the percentage of the population over the age of 25 with a bachelor’s degree or higher. I know you were really curious about these figures for the state of Montana, so now you can finally see for yourself where the college folk live in Montana (not surprisingly, most of them live in the counties with major universities in them). The data came from the 2000 Census, the map was compiled in ArcMap, and then I made it look all purty in Illustrator.

The four maps represent four different ways to break the data into groups:

  • N-Tiles - equal number of counties in each group
  • Equal Intervals - each group represents an equal range of data (in this case about 7.1%)
  • Natural Gaps (the best method) - break the data into groups based on the natural breaks that appear when viewed on a number line
  • Nested Means - Take the range, find the average, split it there. Take your two new groups, find the average of each, and split each there.

Wanna download it? I won’t stop you.

    10 notes

    1. 406mt reblogged this from homeintennessee
    2. bigskydreams reblogged this from homeintennessee
    3. homeintennessee posted this