﻿ Dollar Signs and Percentages- 3 Different Ways to Convert Data Types in R – Data Science Austria

# Dollar Signs and Percentages- 3 Different Ways to Convert Data Types in R Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t.

Working with percentages in R can be a little tricky, but it’s easy to change it to an integer, or numeric, and run the right statistics on it. Such as quartiles and mean and not frequencies.

`data\$column = as.integer(sub("%", "",data\$column)) `

Essentially you are using the sub function and substituting the “%” for a blank. You don’t lose any decimals either! So in the end just remember that those are percentage amounts.

Next example is converting to a factor

```data\$column = as.factor(data\$column)
```

Now you can read the data as discrete. This is great for categorical and nominal level variables.

Last example is converting to numeric. If you have a variable that has a dollar sign use this to change it to a number.

```data\$balance = as.factor(gsub(",", "", data\$balance))
data\$balance = as.numeric(gsub("\\\$", "", data\$balance))
```

Check out the before

```Balance : Factor w/ 40 levels "\$1,000","\$10,000",..: Utilization : Factor w/ 31 levels "100%","11%","12%",
```

And after

```Balance : num 11320 7200 20000 12800 5700 ...
Utilization : int 25 70 55 65 75 ```

I hope this helps you with your formatting times! So simple and easy and you’ll be able to summarize your data!