Like the weather: Finding historic high and low temperatures with R (CC006)
Channel: Riffomonas Project
Date: 2020-05-14

Pat showed how you can use filter, group_by, and summarize from the dplyr package to analyze local weather data. He was curious how extreme the cold temperature Saturday morning was relative to May 9th in other years. While filter, group_by, and summarize were review from previous Code Clubs, he introduced arrange, desc, and top_n to find the extreme cases for any question he asked of the data. He went on to show how we can ask similar questions about any day, month, or year. He demonstrated these concepts by live coding in R with RStudio. He then turns viewers loose to work through several activities to answer new questions and obtain weather data for their favorite location.

The site that contains the exercises and solutions can be found at http://www.riffomonas.org/code_club/2020-05-14-like-the-weather.



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