From the course: R Programming in Data Science: High Variety Data

Jumping over the high-variety hurdle

From the course: R Programming in Data Science: High Variety Data

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Jumping over the high-variety hurdle

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- [Mark] You work in a world full of data. Yeah, you, and everyone knows you're pretty good at working with R. So you get requests. "Hey, I have a project and some data. "Can you help me?" And you think, sure, why not? Then you look at the data. It's a mess of text files and Excel files and CSVs and PDFs. If you could bring it all into R, you could find an answer, but that depends on your ability to import that data, and that's what this course is about. I'm Mark Niemann-Ross, and I'm going to help you import a variety of data, and by variety, I mean CSV and TDF and DBF and PDF and Excel and ODS and so many others, so let's get you the skills you need to get over the data import hurdle and back to the valuable analysis tasks you're really good at.

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