Skew

The Skew transform in RapidCanvas calculates the asymmetry of a dataset’s probability distribution, helping to identify trends and patterns.

It applies to a specified axis of an input dataset and outputs the skewed data to a specified output dataset.

tags: [“EDA”]

Parameters

The table gives a brief description about each parameter in Skew 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. (Required: True, Multiple: False)

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

The output or result after adding the skew data transform looks as below:

How to use it in Notebook

template=TemplateV2.get_template_by('Skew')

recipe_Skew= project.addRecipe([car_data, employee_data, temperature_data, only_numeric], name='Skew')

transform=Transform()
transform.templateId = template.id
transform.name='Skew'
transform.variables = {
'input_dataset':'car',
'output_dataset':'car_skew'}
recipe_Skew.add_transform(transform)
recipe_Skew.run()

Requirements

pandas