All you need to know about Missing Values in your dataset

Identify and fill in missing values in Python

TechFitLab
Techfitlab
Published in
4 min readJan 22, 2023

--

Photo by Pierre Bamin on Unsplash

Missing data (or missing values) is defined as the data value that is not stored for a variable in the observation of interest. The problem of missing data is relatively common in almost all research and can have a significant effect on the conclusions that can be drawn from the data.

--

--

TechFitLab
Techfitlab

Senior Data Scientist with 10+ years of experience; YouTube Content Creator; I am qualified Gym Instructor and Personal Trainer. 👨🏻‍💻 🎥 🏋🏻