Quarto Demo

Intro to Olivia’s Rate My Professor Data

Sample of 20,000 RMP reviews across multiple years across multiple schools.

Running Code

When you click the Render button a document will be generated that includes both content and the output of embedded code. You can embed code like this:

library(tidyverse)

── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.1.4     ✔ readr     2.1.5
✔ forcats   1.0.0     ✔ stringr   1.5.1
✔ ggplot2   3.5.2     ✔ tibble    3.3.0
✔ lubridate 1.9.4     ✔ tidyr     1.3.1
✔ purrr     1.1.0     
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

library(readr)
rmp_data <- 
  read_csv("https://myxavier-my.sharepoint.com/:x:/g/personal/wasserstromo_xavier_edu/IQAdUVKc3EgKTYHgLhBYxav0AV0jXIwXDsk7iBV5Snbzeqg?download=1")

Rows: 20000 Columns: 51
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (17): professor_name, school_name, department_name, local_name, state_na...
dbl (34): year_since_first_review, star_rating, diff_index, num_student, stu...

ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

You can add options to executable code like this

The echo: false option disables the printing of code (only output is displayed).