Detect Anomalies and Outliers | Dataford Interview Questions

Given a dataset, how would you identify anomalies or outliers?

Implement an IQR-based solution for a non-empty list of numeric values. Return the original indices of values below Q1 - 1.5 * IQR or above Q3 + 1.5 * IQR, in ascending index order. Use the median-of-halves method for quartiles, excluding the overall median when the dataset length is odd.

Constraints

4 <= len(values) <= 1000
Values are integers or floating-point numbers
Values are finite numeric values
Use the median-of-halves quartile definition

Function Signature

def identify_outliers(values):

Your question is Detect Anomalies and Outliers. 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.

Problem

Given a dataset, how would you identify anomalies or outliers?

Constraints

4 <= len(values) <= 1000
Values are integers or floating-point numbers
Values are finite numeric values
Use the median-of-halves quartile definition

Function Signature

def identify_outliers(values):

Your question is Detect Anomalies and Outliers. 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.