10 Reasons why data cleaning is so much important in data science

Dhaval Thakur
3 min readOct 24, 2020

Whenever we hear the word Data Science, we think about large data and machine learning algorithms that helps data scientists to predict the values or to classify the outcome into two or more classes.

But, if you ask any Data scientist, or if you might have read some textbooks or maybe you have been into many projects , you might have realised that 70–80 percent of the time of data people is spent on Data cleaning.

What is Data cleaning?

--

--

Dhaval Thakur

Data Enthusiast, Geek, part — time blogger. Every week 1 new Data Science/ Product Management story 🖥 I also write on Python, scripting & blockchain