Python Data Cleaning Function | Dataford Interview Questions

Write a Python function that processes a given dataset and returns the cleaned version.

For grading, treat dataset as a list of dictionaries with string keys. Return a new list where string values are stripped of leading and trailing whitespace, and fields with None or empty string values are removed. Preserve record order and do not mutate the input.

Constraints

0 <= len(dataset) <= 1000
Each dataset element is a dictionary with string keys
Values are strings, integers, floats, booleans, or None
Record order must be preserved
The input dataset must not be mutated

Function Signature

def clean_dataset(dataset):

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Problem

Write a Python function that processes a given dataset and returns the cleaned version.

Constraints

0 <= len(dataset) <= 1000
Each dataset element is a dictionary with string keys
Values are strings, integers, floats, booleans, or None
Record order must be preserved
The input dataset must not be mutated

Function Signature

def clean_dataset(dataset):

Your question is Python Data Cleaning Function. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.