Reshaping and Cleaning Common Data

By Daniel Y. Chen
Feb 21, 2018

📄 Contents

␡

6.1 Introduction
Concept Map
Objectives
6.2 Columns Contain Values, Not Variables
6.3 Columns Contain Multiple Variables
6.4 Variables in Both Rows and Columns
6.5 Multiple Observational Units in a Table (Normalization)
6.6 Observational Units Across Multiple Tables
6.7 Conclusion

⎙ Print
+ Share This

< Back Page 9 of 9

This chapter is from the book 

Pandas for Everyone: Python Data Analysis

Learn More Buy

6.7 Conclusion

This chapter explored how we can reshape data into a format that is conducive tp data analysis, visualization, and collection. We applied the concepts in Hadley Wickham’s Tidy Data paper to show the various functions and methods to reshape our data. This is an important skill because some functions need data to be organized into a certain shape, tidy or not, to work. Knowing how to reshape your data is an important skill for both the data scientist and the analyst.

< Back Page 9 of 9