How to Effectively Structure Data Science Projects in R (Episode 11)
The Effective Data Scientist · Gyom
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Show Notes
In this episode, Paolo and Thomas dive into the fundamental principles for a well-structured data science project. These include practical advice on:
• organizing files into folders,
• documenting and commenting code,
• using version control systems and much more.
Although the episode focuses on applying these fundamental principles in R projects, you want to apply the same principles to any Data Science project, regardless of the language used.
Further resources:
Advanced R 2nd Ed. (http://adv-r.hadley.nz)
R for Data Science 2nd Ed. (http://(r4ds.hadley.nz)