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Separate raw and clean data folders

Separate raw and clean data folders: Learning the R Tidyverse
Separate raw and clean data folders: Learning the R Tidyverse

In an effort to keep an almost germaphobic level of tidyness, it's very useful to keep two data folders. Data-raw is where raw output data lives (like survey responses and scraped data). Data is where cleaned and tidied data lives for analysis.

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Skill Level Intermediate
3h 44m
Duration
23,768
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Skills covered in this course
Big Data IT R

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