From the course: Data Wrangling in R
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Understanding the coal dataset
From the course: Data Wrangling in R
Understanding the coal dataset
- [Instructor] You now have all the tools and techniques that you'll need to perform data wrangling and transform messy datasets in the tidy datasets. Now you may remember a quote from Hadley Wickham that I shared earlier in this course. "Tidy data are all alike, but every messy dataset is messy in its own way." Because of this, the only way to truly learn data wrangling is by rolling up your sleeves and performing some hands-on work. In the final three chapters of this course, I'll walk you through three real world data wrangling projects and help you understand how to assess a dataset and transform it into tidy form using the tidyverse tools in R. The first data set that we'll work with comes from The National Renewable Energy Lab at the US Department of Energy. It contains information on the total annual coal consumption by country from 1980 until 2012. Now I stored a copy of this data set for you on the, You Can…
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