Congratulations!
Programming with dplyr
Dr. Chester Ismay
Educator, Data Scientist, and R/Python Consultant
Chapter 1 - select() and its helper functions
- Pipelines with the main
dplyrverbs ofselect(),filter(),summarize(),group_by(), andmutate() starts_with(),ends_with(), andcontains()helper functionsmatches()to look for regular expression patterns
Chapter 2 - Column transformations
- Move columns around with
select(),everything(), andrelocate() - Use
across()to do the same transformation on many columns - Choose rows that match certain column criteria with
if_any()andif_all() - Calculate across each row with
rowwise()andc_across()
Chapter 3 - Joins and set theory
dplyrjoins- Review of
inner_join(),left_join(), andanti_join()
- Review of
- Set theory clauses
intersect()union()andunion_all()setequal()andsetdiff()
Chapter 4 - Getting your feet wet with rlang
- Writing functions using curly-curly
{{ }} - Using the forcing "bang-bang" operator
!!and the defusing operatorenquo() - Creating variable names using the walrus operator
:=,as_name(), and!! - Wrapping
ggplot2plotting code in a function withas_label()
Other relevant courses/tracks
Courses
- Visualization Best Practices in R
- Introduction to Data Visualization with ggplot2
- Intermediate Data Visualization with ggplot2
Tracks
- Tidyverse Fundamentals with R
- Intermediate Tidyverse Toolbox
- R Programmer
Woohoo for you!
Programming with dplyr
