GRE Data Analysis | Methods for Presenting Data

• Variable: A characteristics which varies with respect to given categories. There are two types of variables.
  1. Quantitative or numerical – e.g. age of individuals or quantity of televisions per household.
  2. Categorical or non-numerical – e.g. eye color of individuals or blood group of observed individuals.
• Frequency OR Count: Number of appearances of a particular category or value in the table.
• Frequency Distribution: Table or graph representing categories along with their corresponding frequencies.
• Relative Frequency:

• Relative Frequency Distribution: Table or graph representing relative frequencies of the categories.

1. Tables
2. Bar Graphs
3. Segmented Bar Graphs
4. Histograms
5. Circle Graphs
6. Scatter Plots
7. Line Graphs 

• In tables, intersection of rows and column defines particular data.
• Rows determine relation between horizontal elements and columns determine relation between vertical elements.
• Data can be in numeric form or percentage form.