Numerical

Numerical columns contain numbers. The defining aspect of numerical data is that the numbers have an order and you can apply a variety of mathematical computations to them (average, sum, etc.) The actual values may follow a specific format, such as being rounded to 2 decimal digits and remaining between min/max bounds.

For example, you might be storing product purchase amounts (USD) with 2 decimal digits. You might be storing the ages of your customers as whole numbers that must be 18 or above.

If the data is stored a integers, it does not mean it's necessarily numerical. For example, HTTP response codes such as 200, 404, etc. are stored as integers but they are distinct categories. They cannot be combined or averaged.

Browse Numerical Transformers

FloatFormatter

A general transformer that imputes missing values.

ClusterBasedNormalizer

Use Gaussian Mixture Models to cluster and normalize the data.

GaussianNormalizer

Use a probability integral transform to normalize the data.

＊OutlierEncoder

Detect and encode outliers for more accurate data science.

＊ These features are only available for licensed users. To learn more about purchasing a license, get in touch with us.