- Trending Categories
- Data Structure
- Networking
- RDBMS
- Operating System
- Java
- iOS
- HTML
- CSS
- Android
- Python
- C Programming
- C++
- C#
- MongoDB
- MySQL
- Javascript
- PHP

- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who

# How to find the counts of categories in categorical columns in an R data frame?

If we have two categorical columns in an R data frame then we can find the frequency/count of each category with respect to each category in the other column. This will help us to compare the frequencies for all categories. To find the counts of categories, we can use table function as shown in the below examples.

## Example1

Consider the below data frame −

x1<−sample(c("Child","Teen","Adult","Old"),20,replace=TRUE) x2<−sample(c("Unemployed","Employed"),20,replace=TRUE) df1<−data.frame(x1,x2) df1

## Output

x1 x2 1 Old Unemployed 2 Child Unemployed 3 Adult Employed 4 Adult Unemployed 5 Adult Employed 6 Teen Employed 7 Old Employed 8 Child Unemployed 9 Child Employed 10 Adult Unemployed 11 Child Unemployed 12 Old Employed 13 Child Unemployed 14 Child Employed 15 Teen Employed 16 Adult Employed 17 Adult Unemployed 18 Old Employed 19 Adult Unemployed 20 Child Employed

Finding the counts of categories in both columns of df1 −

## Example

table(df1$x1,df1$x2)

## Output

Employed Unemployed Adult 3 4 Child 3 4 Old 3 1 Teen 2 0

## Example2

y1<−sample(c("Married","Unmarried"),20,replace=TRUE) y2<−sample(c("Satisfied","Not-Satisfied"),20,replace=TRUE) df2<−data.frame(y1,y2) df2

## Output

y1 y2 1 Married Not-Satisfied 2 Unmarried Not-Satisfied 3 Married Not-Satisfied 4 Unmarried Not-Satisfied 5 Married Satisfied 6 Married Not-Satisfied 7 Unmarried Satisfied 8 Married Satisfied 9 Unmarried Not-Satisfied 10 Unmarried Not-Satisfied 11 Unmarried Not-Satisfied 12 Unmarried Not-Satisfied 13 Married Satisfied 14 Married Satisfied 15 Married Satisfied 16 Married Not-Satisfied 17 Married Satisfied 18 Unmarried Satisfied 19 Married Satisfied 20 Married Satisfied

Finding the counts of categories in both columns of df2 −

## Example

table(df2$y1,df2$y2)

## Output

Not−Satisfied Satisfied Married 4 8 Unmarried 6 2

- Related Questions & Answers
- How to find the range of columns if some columns are categorical in R data frame?
- How to find the cumulative sum of columns if some columns are categorical in R data frame?
- How to find the mean of a numerical column by two categorical columns in an R data frame?
- How to find the class of columns of an R data frame?
- How to find the cosine of each value in columns if some columns are categorical in R data frame?
- How to find the log of each value in columns if some columns are categorical in R data frame?
- How to find the exponent of each value in columns if some columns are categorical in R data frame?
- How to find the log10 of each value in columns if some columns are categorical in R data frame?
- How to find the log2 of each value in columns if some columns are categorical in R data frame?
- How to find the rank of each value in columns if some columns are categorical in R data frame?
- How to find the sin of each value in columns if some columns are categorical in R data frame?
- How to find the column variance if some columns are categorical in R data frame?
- How to find the column means if some columns are categorical in R data frame?
- How to find the column median if some columns are categorical in R data frame?
- How to find the column minimum if some columns are categorical in R data frame?

Advertisements