Standard Error of Mean

Standard error of mean measures how much the sample mean differs from the true population mean. A smaller standard error of mean means the sample is likely more representative of the population.

tags: [“EDA”]

Parameters

Input Dataset: Input Dataset (Required: True, Multiple: False)

Output Dataset: Output Dataset (Required: True, Multiple: False)

How to use it in RC UI

../../../_images/sem1.png

The output or result after adding the Standard Error of Mean transform looks as below:

../../../_images/sem2.png

How to use it in Notebook

template=TemplateV2.get_template_by('Standard Error of Mean')

recipe_Standard_Error_of_Mean= project.addRecipe([car_data, employee_data, temperature_data, only_numeric], name='Standard Error of Mean')

transform=Transform()
transform.templateId = template.id
transform.name='Standard Error of Mean'
transform.variables = {
'input_dataset':'car',
'output_dataset':'car_sem'}
recipe_Standard_Error_of_Mean.add_transform(transform)
recipe_Standard_Error_of_Mean.run()

Requirements

pandas