From the course: Data Wrangling in R
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Reading in the water quality dataset
From the course: Data Wrangling in R
Reading in the water quality dataset
- [Instructor] Here I am in our studio, with a clean script ready to go. Together, we'll create the code to turn this Austin water quality data into a tidy data set about pH and water temperature that's ready for analysis. Let's begin by importing the data set into R Now we need to load a few packages to get started. I definitely need the core tidyverse, and I'm also pretty sure that I'm going to have to do some work with dates and times. So I'm going to load the lubridate package as well. Remember, lubridata is part of the tidyverse, but it needs to be loaded separately. Now I'm going to go ahead and try to just load this data set. I've stored it on the, You Can Learn IT Sites that you can pull down the exact same data that I'm using in this case study. That way you should see the same results that I do as with the coal consumption data set. I'm going to load this water quality data set in from a CSV file using the…
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Contents
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Understanding the water quality dataset1m 32s
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Reading in the water quality dataset1m 35s
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Filtering the water quality dataset5m 17s
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Water quality data types3m 2s
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Correcting data entry errors2m 43s
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Identifying and removing outliers3m 42s
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Converting temperature from Fahrenheit to Celsius2m 20s
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Widening the water quality dataset4m 33s
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