Two-way Tables and Frequency Tables

18 December 2020

Reading Time: 6 Minutes

Introduction

A two-way table is a way to display frequencies or relative frequencies for two variables.

One of the variables is represented using rows and the other one using columns.

They are used to see if there is any relationship between the two variables.

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Two-way tables and frequency tables

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Types of Data

Discrete Data

It can only take certain values.
It can be counted.
It cannot be divided.
It can be graphed on a bar graph.
Example: number of dogs, number of books, number of students etc.

Continuous Data

It can take any value within a range.
It can be measured.
It can be divided.
It can be graphed on a histogram or a line graph.
Example: time, the weight of a dog, the height of the students etc.

Training image

Introduction to Graphical Data

Various charts and graphs can be used to visually display and analyze the graphical data.

It helps us to quickly highlight the behavior and relationship between data points which may contribute to better understanding and predictions.

Depending on the type of data we may use a bar graph, histogram, line graph, heat map, Venn diagram, pie chart, etc.

Introduction to Graphical Data image

Two-way frequency tables

The two-way frequency table shows how many data points fit into each category.

It’s a good way to organize data based on two categorical variables.

Two-way frequency tables image

Making two-way tables

Identify the two variables of interest.
Determine the possible values of each variable.
Pick one variable to be represented by the rows and the other to be represented by the columns.
Fill the table with frequencies.

Commercial viewed vs opinion two way table

The Two-way relative frequency table

The two-way relative frequency table uses relative frequencies like percentages or proportions instead of the frequency counts. It shows what percentage of the data points fit in each category.

Two-way relative frequency table

Conclusion

Two-way tables and frequency tables help us to represent the comparison of two variables.

This can be used in data visualization and data analysis to arrive at important decisions.

A good understanding of these also improves basic aptitude skills and logical reasoning skills.

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