Now think about variables that pertain to high schools as places or organizations and suggest three variables (example: % of students who are female). Notice here how a binary variable at the individual level (female or not female) can become a numerical variable when it is redefined on a place (% female). A numerical variable at the individual level (like height or weight) would become an average at the place or organization level (average height or average weight of students at each high school in the data set). Try to make one of your variables categorical, one of them numerical, and one of them binary.