# Decimal Scaling Normalization

## Decimal Scaling with Examples

Decimal scaling is a data normalization technique like Z score, Min-Max, and normalization with standard deviation. Decimal scaling is a data normalization technique. In this technique, we move the decimal point of values of the attribute. This movement of decimal points totally depends on the maximum value among all values in the attribute.

## Decimal Scaling Formula

A value v of attribute A is can be normalized by the following formula

Normalized value of attribute = ( vi / 10j )

If you are interested in an excel file of decimal scaling, then you can read the excel file with calculations.

## Example of Decimal Scaling:

 CGPA Formula CGPA Normalized after Decimal scaling 2 2/10 0.2 3 3/10 0.3

We will check the maximum value among our attribute CGPA. Here maximum value is 3 so we can convert it to a decimal by dividing by 10. Why 10?

We will count total numbers in our maximum value and then put 1 and after 1 we can put zeros equal to the length of the maximum value.

Here 3 is the maximum value and the total numbers in this value are only 1. so we will put one zero after one.

## Example 2:

 Salary bonus Formula CGPA Normalized after Decimal scaling 400 400 / 1000 0.4 310 310 / 1000 0.31

We will check the maximum value of our attribute “salary bonus”. Here maximum value is 400 so we can convert it into a decimal by dividing it by 1000. Why 1000?

400 contains three digits and we so we can put three zeros after 1. So, it looks like 1000.

## Example 3:

 Salary Formula CGPA Normalized after Decimal scaling 40,000 40,000 / 100000 0.4 31, 000 31,000 / 100000 0.31

## Decimal Scaling C++ Example

1. PDF file including Decimal Scaling.
2. Slides Presentation including Decimal Scaling.
3. Excel File Calculations including Decimal Scaling.

## Decimal scaling in R

Decscale function for Decimal Scaling:
Decscale is a function to apply decimal scaling to a matrix or data-frame. Decimal scaling transforms the data into [-1,1] by finding k such that the absolute value of the maximum value of each attribute divided by 10\^k is <= 1.
How to use Decscale function?
decscale(data)
The dataset to be scaled is considered as a Arguments
Note: Uses the scale function found in the R base package.
Decdata: The original matrix that has been scaled by decimal scaling