Nominal data is data that has no specific order or scale, but is categorized only by a name or category type. [3] X Research source Examples of nominal data include favorite dessert or college major. Ordinal data is data that is based on position or scale. [4] X Research source Examples of ordinal data include level of satisfaction or education level.
For example, if you surveyed 100 American millennials on who their favorite Beatle is, you will have 100 data points.
For example, you might have found the following data from your survey:Who is your favorite Beatle?George=27100=. 27{\displaystyle {\text{George}}={\frac {27}{100}}=. 27}John=31100=. 31{\displaystyle {\text{John}}={\frac {31}{100}}=. 31}Ringo=20100=. 20{\displaystyle {\text{Ringo}}={\frac {20}{100}}=. 20}Paul=22100=. 22{\displaystyle {\text{Paul}}={\frac {22}{100}}=. 22}
For example:George=. 27×360=97. 2=about97degrees{\displaystyle {\text{George}}=. 27\times 360=97. 2={\text{about}};97;{\text{degrees}}}John=. 31×360=111. 6=about112degrees{\displaystyle {\text{John}}=. 31\times 360=111. 6={\text{about}};112;{\text{degrees}}}Ringo=. 20×360=72degrees{\displaystyle {\text{Ringo}}=. 20\times 360=72;{\text{degrees}}}Paul=. 22×360=79. 2=about79degrees{\displaystyle {\text{Paul}}=. 22\times 360=79. 2={\text{about}};79;{\text{degrees}}}
For example, the John category should be a section that is 97 degrees. So you would draw a point outside the protractor at the 0 degree line, and another point at the 97 degree line. Then you would finish drawing the section by drawing lines through these points. Take care when using a protractor to read it correctly. Most protractors have two sets of numbers. Think about the size of the angle you are making to ensure you are looking at the correct numbers.
Another option is to make a key. Instead of labeling directly on your pie chart, you can make a small box below it, denoting which color indicates which category.
For example, you might name your chart “Favorite Beatle Among American Millennials. ”
