Data Array Processing With Validation | Dataford Interview Questions

Implement a function that processes this data array and handles empty or malformed inputs. The function receives an array that should contain finite numbers, ignores invalid elements, and returns a dictionary with the valid value count, sum, and average. If the input is not a list or contains no valid numbers, return zero for count, sum, and average.

Function signature: def process_data(data):

A boolean is not considered a valid number.

Constraints

data may be any Python value, including None, a dictionary, or a list
If data is a list, it may contain integers, floats, strings, booleans, null values, or other objects
A valid element is a finite integer or floating-point number, excluding booleans
The result must always contain count, sum, and average

Function Signature

def process_data(data):

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Problem

Function signature: def process_data(data):

A boolean is not considered a valid number.

Constraints

data may be any Python value, including None, a dictionary, or a list
If data is a list, it may contain integers, floats, strings, booleans, null values, or other objects
A valid element is a finite integer or floating-point number, excluding booleans
The result must always contain count, sum, and average

Function Signature

def process_data(data):

Your question is Data Array Processing With Validation. 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.