Building an Effective Data Science Practice: A Framework to Bootstrap and Manage a Successful Data Science Practice

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

V. Raina, S. KrishnamurthyBuilding an Effective Data Science Practicehttps://doi.org/10.1007/978-1-4842-7419-4_14

14. Data Preparation

Vineet Raina¹   and Srinath Krishnamurthy¹

(1)

Pune, India

 

This chapter is dedicated to the data preparation step of the data science process. The captured data is typically explored to understand it better.¹ Such exploration may reveal that the captured data is in a form which cannot be directly used to build models – we saw one such case in Chapter 6 where the data captured for predicting the category of an email consisted of just emails and their folders. This data had to go through a lot of preparation before it could be ...