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What kind of resources are you looking for: books, online tutorials, cheatsheets, other?

Is there a language or technology you are specifically using or looking at using?

If you are using R I would recommend parts of Hadley Wickham's "R for Data Science: Import, Tidy, Transform, Visualize, and Model Data". Specifically the chapters on Data Import, Transformation and Tidy Data.

If you have any specific questions feel free to ask.

The chapters in question available for free online:

https://r4ds.had.co.nz/data-import.html

https://r4ds.had.co.nz/transform.html

https://r4ds.had.co.nz/tidy-data.html

To buy a physical copy of the book:

https://www.amazon.com/Data-Science-Transform-Visualize-Model/dp/1491910399/ref=sr_1_1?crid=3EQZKAWKO7ZW9&keywords=r+for+data+science&qid=1574185159&sprefix=r+for+d%2Caps%2C232&sr=8-1

Edit:

Full github repository for book source code:

https://github.com/hadley/r4ds

I found this data after getting interested reading this book (which is great so far)

https://www.amazon.com/Farewell-Alms-Economic-History-Princeton/dp/0691141282/ref=sr_1_1?ie=UTF8&qid=1486831380&sr=8-1&keywords=farewell+to+alms

If your local library has a copy it might be worth checking out

This data set is used in Exercise 23.36 of Larry Wasserman's All of Statistics: A Concise Course in Statistical Inference

It is also easy to find PDFs of this textbook online.

Interesting tools. There is a book about this. Data Science at the Command Line

http://www.amazon.com/Handbook-Small-Chapman-Statistics-Texts/dp/0412399202