Kurtosis

This transform computes the kurtosis for a set of values across a specific axis (that is row or a column) and returns the kurtosis values for each column in the original dataset.

tags: [“EDA”]

Parameters

The table gives a brief description about each parameter in Is In transform.

Name:

By default, the transform name is populated. You can also add a custom name for the transform.

Input Dataset:

The file name of the input dataset. You can select the dataset that was uploaded from the drop-down list. (Required: True, Multiple: False)

Output Dataset:

The file name with which the output dataset is created. This file contains Kurtosis values for each column. (Required: True, Multiple: False)

The sample input for this transform looks as shown in the screenshot.

The output after running the Kurtosis transform on the dataset appears as below:

How to use it in Notebook

The following is the code snippet you must use in the Jupyter Notebook editor to run the Kurtosis transform:

template=TemplateV2.get_template_by('Kurtosis')

recipe_Kurtosis= project.addRecipe([car_data, employee_data, temperature_data, only_numeric], name='Kurtosis')

transform=Transform()
transform.templateId = template.id
transform.name='Kurtosis'
transform.variables = {
'input_dataset':'car',
'output_dataset':'car_kurtosis'}
recipe_Kurtosis.add_transform(transform)
recipe_Kurtosis.run()

Requirements

pandas