CodeX

Everything connected with Tech & Code. Follow to join our 1M+ monthly readers

Follow publication

Member-only story

How to Identify and Handle Outliers in Your Data

Tripathi Aditya Prakash
CodeX
Published in
4 min readDec 28, 2024

(Told by a Full-Time Data Analyst)

Image Link : Photo by crazy motions: https://www.pexels.com/photo/blue-and-yellow-light-bulbs-12198522/

Outliers are one of the most critical yet misunderstood elements of data analysis. They can skew your results or even hold the key to groundbreaking insights. As a full-time data analyst, I’ve encountered my fair share of outliers and developed strategies to identify and handle them effectively.

In this blog, I’ll break down what outliers are, why they matter, and the most effective methods and tools to deal with them. For a deeper dive, check out my YouTube video on this topic, where I walk you through everything step by step!

If you want personalized guidance, don’t forget to book a session with me on Topmate for one-on-one mentorship and resources tailored to your data challenges.

What Are Outliers?

Create an account to read the full story.

The author made this story available to Medium members only.
If you’re new to Medium, create a new account to read this story on us.

Or, continue in mobile web

Already have an account? Sign in

CodeX
CodeX

Published in CodeX

Everything connected with Tech & Code. Follow to join our 1M+ monthly readers

Tripathi Aditya Prakash
Tripathi Aditya Prakash

Written by Tripathi Aditya Prakash

Data Analyst, Founder @shivai , Lifestyle | Tech | Mindset

No responses yet

What I applaud in Mr. Carnevale's piece is an attempt to shift the attention away from affirmative action and college (now, there's a silo) to education reform of K-12 education. In my view, the problem starts when humans by and large support their…

--

Affirmative Action still around?

--

interesting

--