data-normalization-methods

Vocabulary Word

Definition

Data normalization methods are techniques used to organize and clean data, they help to reduce redundancy and confusion. These methods can make data more efficient and easy to work with.

Examples in Different Contexts

Z-Score Normalization (Standardization) is a method where the values for each feature are centered around the mean and divided by the standard deviation. An analytics specialist might explain, 'Z-Score Normalization helps in dealing with outliers and makes the algorithm less sensitive to them.'

Practice Scenarios

Tech

Scenario:

Our database keeps getting larger and more unwieldy with every data import. There seems to be a lot of redundancy and inconsistency.

Response:

We could use data normalization methods to remove redundancy and improve the consistency of our database.

Academics

Scenario:

Our research data includes a wide range of variable scales, which is making it hard to find any meaningful patterns.

Response:

We can utilize data normalization methods to adjust our data scales, making them comparable and easier to analyze.