Common Data Cleaning Tasks in Everyday Work of a Data Scientist/Analyst in Python
Last Updated on July 20, 2023 by Editorial Team
Author(s): Rashida Nasrin Sucky
Originally published on Towards AI.
A Data Cleaning Cheat Sheet
Photo by Brooks Rice on Unsplash
Data cleaning is an essential part of your life if you are a data scientist, data analyst, or machine learning engineer. In real life, it is very hard to find data that are totally clean and ready to use right away. Before diving into the analysis, visualization, or machine learning, data cleaning is a very common task for almost all real-world projects.
This article will focus on the general and very common data cleaning tasks. We will use a few different datasets to demonstrate different data cleaning processes.
No more introduction. Let’s get into the action!
First, I… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI