When should I standardize my data?

When should I standardize my data?

Standardizing data is crucial when you're preparing datasets for analysis, especially if they have different scales.

Can you give me an example of when it's necessary?

Sure! If you're combining data from different sources, like sales figures in dollars and euros, standardization helps ensure accuracy.

What methods can I use to standardize my data?

Common methods include z-score normalization and min-max scaling, depending on your analysis needs.

Are there any downsides to standardizing data?

Yes, over-standardization can lead to loss of important information, especially if the original scale has significance.