From the course: Tableau and R for Analytics Projects

What you should know

From the course: Tableau and R for Analytics Projects

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What you should know

- [Instructor] Thanks again for your interest in this course. Before I get started with the main material, I'd like to give you an overview of some things you should know that will help you out. The first is that I do assume you have good familiarity with Tableau. If you know enough to ask the question of how you can integrate R with Tableau, then I assume you're pretty good with the program. I'll cover a few things, but I'll assume that you know how to do the basics. On the other hand, I assume that you have little or not knowledge of R. It's likely if you're a data analyst that you know R very well, and perhaps a little bit less of Tableau, but I assume no knowledge, and I explain things in as much detail as I'm able. Next, be aware that there are subtle differences between R in the console and in Tableau. Some of these differences are easy to explain and others you will have to discover on a case by case basis. I've encountered many of these differences in preparing this course, so I've noted them where possible. If you're working with data in Excel or other programs, I advise against using the UTF-8 CSV, or common separated value, file format. It can add characters to the start of your file, indicating that it's a UTF file, and it affects some R scripts, but not others. So, in general, I just say avoid it and use plain CSV. And finally, beware, beware, beware of text copied from a word processor. Microsoft Word and other programs will change straight quotes to so-called smart quotes, which are different characters which R does not like, and will cause errors. So if worst comes to worst, copy text into Notepad. If possible, type the text into a Tableau calculator field yourself, so you know that everything is exactly as it should be.

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