(WIP) Data Wrangling Practice for Business School Students

I’m currently working on a new Jupyter Book: Data Wrangling Practice for Business School Students (tentative title). This is a collection of solutions to 60+ representative data wrangling problems frequently encountered by business school students. For example, how to count the number of stocks with positive returns on each day? For each problem, I’ll offer three versions of solutions: data.table (R), dplyr (R), and pandas (Python).

This book is designed as a cookbook for business school students with a particular data manipulation problem in hand who want to get the job done quickly. However, I also try my best to explain each line of code so that beyond copy‑paste, you can still learn useful techniques :)

The book is an English translation of this GitHub repo, which is authored by me and Rui Li (Zhejiang Financial College).

Get a glimpse here. I hope you enjoy it!