include all the regions of the world (a country is NOT a region!)
create as many regions as appropriate for your data. For example, if you have no items from Africa, then list it as one region. If you have things from China and South Korea (East Asia) but not from India (South Asia), you must divide Asia into at least two regions! Remember that you might need more regions when you use the U.S. import data. Don't worry about having many regions with only zeros.
use consistent classifications: don't use Pacific Rim (includes all countries in Asia, North America, and Latin America touching the Pacific Ocean!) when you only mean East Asia.
group your stuff into major categories, not too many but not too few either.
include both the absolute numbers and the percentages in each column. Understand the difference between absolute vs. relative values.
merge appropriate cells, center text in cells, use appropriate lines around cells. Table and graph design matters as much as editing your words! Get help from PALS or see your instructor.
indicate the source of the data at bottom of each table.
Clothing | Etc. | Total | ||||
| # | % | # | % | # | % | |
| North America | 10 | 21.7 (10/46*100) | ||||
| Central America | 2 | |||||
| South America | 0 | |||||
| Etc. | ||||||
| total | 46 | 100 | 100 | 194 | 100 | |
My Imported Stuff | USA Imports | |||
| # | % | $ (in millions) | % | |
| Canada |
5 | .03 (5/150*100) | ||
| Central America | 2 | .01 | ||
| South America | 0 | 0 | ||
| Etc. | ||||
| total | 150 | 100 | 100 | |
In this table you need to aggregate the US import data as best you can. Data rarely come in the form best suited for your particular analysis. Compare the percentages of your imported stuff with US imports by each region; the absolute numbers of your stuff and the billions of US imports can not be compared! Don't include the calculations shown in red! Why is Canada in red?
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