Using dplyr's group_by function with and without summarize (CC233)

Did you know you can use dplyr's group_by function without summarize? This is a powerful tool that we'll use to normalize monthly average temperatures to the monthly averages between 1951 and 1980. Along the way we'll see some cool date functions like today, year, and month from the lubridate package and we'll plot the data with geom_line using the ggplot2 package. We'll do everything within RStudio.

You can find my blog post for this episode at https://www.riffomonas.org/code_club/2022-07-25-group_by.

#ggplot2 #dplyr #R #Rstudio #Rstats

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0:00 Introduction
1:04 Repurposing a script to automate data retrieval and clean up
4:10 Using group_by with summarize
7:26 Normalizing temperatures to a range of years
11:23 Using group_by with summarize for two variables
15:02 Using group_by without summarize to normalize by month
18:22 Plotting and interpreting results
22:45 How does this year compare to 1951-1980?