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AWS Workshop (Feb '23)
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Past Code Club Sessions
Note: We also have an
overview of all past sessions in table format with links
!
S04E14: R for Data Science - Chapter 5.6: summarize, some more
Today we will continue to investigate the summarize() function. Together with group_by(), this function is extremely useful to produce summary statistics of your data by group.
Jessica Cooperstone
Nov 10, 2022
S04E13: R for Data Science - Chapter 5.6: summarize
Today we will introduce summarize() function. Together with group_by(), this function is extremely useful to produce summary statistics of your data by group.
Mike Sovic
Nov 3, 2022
S04E12: R for Data Science - Chapter 5.5: mutate
Today we will cover the mutate() function to create new columns in dataframes. While this function itself is simple enough, we will get to see some interesting data manipulation techniques and operators such as those for integer division and remainder.
Stephen Opiyo
Oct 27, 2022
S04E10 and S04E11: R for Data Science - Chapters 5.3 and 5.4
In these two sessions of Code Club, we look at sorting dataframes with arrange() and filtering rows of a dataframe based on certain conditions with filter().
Michael Broe
Oct 27, 2022
S04E09: R for Data Science - Chapter 5.1 - 5.2
This chapter covers the manipulation of rectangular data (data frames, think data from spreadsheets) with the dplyr package that is part of the tidyverse. We’ll learn about data frames & tibbles, R variable types, comparison and logical operators, and missing values (NAs) in addition to the first of the core dplyr functions: filter()
Jelmer Poelstra
Oct 27, 2022
S04E08: R for Data Science - Chapters 4, 6, and 8
In this first session of Code Club for Fall ‘22, we will continue working our way through the book R for Data Science. Today, we’ll look at three very short chapters on some R and RStudio basics.
Jessica Cooperstone
Sep 15, 2022
S04E01: R for Data Science - Chapter 1
We will introduce a new season of Code Club, in which we’ll do things a little differently than before: we are going to work our way through a book: R for Data Science. Today, we’ll look at the first, introductory chapter of the book.
Jelmer Poelstra
Jun 9, 2022
Session S03E12: Incorporating your own functions into loops
In this session of Code Club, we’ll see how putting your own functions into loops prevents repeating yourself even more.
Michael Broe
Apr 21, 2022
Session S03E11: Writing your own Functions
In this session of Code Club, we’ll look at how to avoid repeating yourself in another way by writing your own functions.
Michael Broe
Mar 30, 2022
Session S03E10: Functional Programming With purrr::map() Functions
In this session of Code Club, we’ll consider some functions from the purrr package, which can be used as efficient alternatives to for loops and the
apply()
functions we explored in the previous session.
Mike Sovic
Mar 24, 2022
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