##### Asked by: Jincheng Eickel

asked in category: General Last Updated: 20th April, 2020# How do you rescale data?

**Rescaling data**is multiplying each member of a

**data**set by a constant k; that is to say, transforming each number x to f(X), where f(x) = kx, and k and x are both real numbers.

**Rescaling**will change the spread of your

**data**as well as the position of your

**data**points.

Regarding this, how do you rescale values?

**Rescaling** (min-max normalization) For example, suppose that we have the students' weight data, and the students' weights span [160 pounds, 200 pounds]. To **rescale** this data, we first subtract 160 from each student's weight and divide the result by 40 (the difference between the maximum and minimum weights).

Likewise, what is scaling the data? Feature **Scaling** is a technique to standardize the independent features present in the **data** in a fixed range. It is performed during the **data** pre-processing to handle highly varying magnitudes or values or units.

Then, how do I rescale data in Excel?

**This is usually done with a normalization equation and allows you to compare different sets of data.**

- Use a Built-in Normalization Formula.
- Open Microsoft Excel.
- Find the Arithmetic Mean.
- Find the Standard Deviation.
- Enter the STANDARDIZE Formula.
- Normalize Remaining Data.

Should I normalize standardize rescale the data?

**Normalization** is useful when your **data** has varying scales and the algorithm you are using does not make assumptions about the distribution of your **data**, such as k-nearest neighbors and artificial neural networks. **Standardization** assumes that your **data** has a Gaussian (bell curve) distribution.