Disclaimer: This was created at the time of 2024W2 & ONLY covers the scope of the course material in DSCI100.

Note: This doesn’t cover absolutely everything in the textbook, rather puts more emphasis on things that are: worth explaining, nuanced, difficult, has appeared in the midterm. If you’d like to suggest additions, fill out this form (Or if you find mistakes): https://docs.google.com/forms/d/e/1FAIpQLScOjou48ZukL9gTWY2rbFMWwo81kulsJ7-LEYTjh-iEGFcoHQ/viewform?usp=sharing

Link to Textbook / Link to More Formulas

Reproducibility in Code

What does it mean when code is reproducible?

• has a set seed (to prevent randomness)
• has comprehensive code so that anyone can follow through
• has documentations where necessary to explain unclear areas
• produces the same result each time

Data Manipulation in R

The first thing this course teaches us to do is read a simple .csv (comma separated variable) file, but we need to first import a library (tidyverse) which will allow us to read data (this library allows us to do much more than just read data)

library(tidyverse)
read_data <- read_csv(data = "____.csv")

print(marathon_small, n = 50)

# prints n amount of rows of the dataset
# specifying the number of rows to be printed **IS** a valid argument for print

Below is an illustration of how to use the filter function in R, to manipulate a data frame and only keep rows with the specified value of a column variable.