Well, to be precise, you should not always standardize your data. There are times when you could standardize and when you shouldn’t. Here are a few reasons why you might not want to standardize your data: Your data is on the same scale. You might not need to standardize your data if the variables are already on the same scale. For example, if you have a dataset measuring height and weight in meters and kilograms, there is no need to standardize the data.
You Should Not Standardize Your Data!
You Should Not Standardize Your Data!
You Should Not Standardize Your Data!
Well, to be precise, you should not always standardize your data. There are times when you could standardize and when you shouldn’t. Here are a few reasons why you might not want to standardize your data: Your data is on the same scale. You might not need to standardize your data if the variables are already on the same scale. For example, if you have a dataset measuring height and weight in meters and kilograms, there is no need to standardize the data.