This document provides information about data interpretation and different ways of presenting data. It discusses numerical data tables like time series tables, spatial tables, frequency distribution tables, and cumulative frequency tables. It then provides examples of data interpretation questions involving calculating percentages from tables showing production, sales, and capacity for three automobile companies from 1988-1998. Another example involves interpreting a table showing the number of members in different age and gender categories across six societies. Finally, it briefly discusses Cartesian graphs and types like single dependent variable graphs and graphs with more than one dependent variable.