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schedule.R
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library(readxl)
library(dplyr)
library(ggplot2)
library(lubridate)
library(forcats)
library(stringr)
# Create a calendar for your syllabus ----
# Source: http://svmiller.com/blog/2020/08/a-ggplot-calendar-for-your-semester/
# 1) what is the first Monday of the semester?
# Any number of ways to identify dates in R, but we'll use {lubridate} and the ymd() function here.
# Format: YYYYMMDD. In this example, 4 January 2022.
# Weekday(s) of class
class_wdays <- c("Wed")
# Spring Break was 09 March 2024 to 17 March 2024.
not_here_dates <- c(
ymd("20250120"),
# Spring Break
seq(ymd(20250315),ymd(20250323), by=1))
# What are the full dates of the semester?
# In this case: 22 January to 17 May
semester_dates <- seq(ymd(20250120), ymd(20250516), by=1)
# You can adjust this as you see fit. Basically: add assignment types (e.g. papers, quizzes).
exam_dates <- tibble(
category = c("Exam", "Exam"),
date = c(
ymd(20250312),
ymd(20250515)),
topic = c("Midterm Exam",
"Final Exam"),
time = c("In Class", "1-3 pm")
)
project_dates <- tibble(
category = c("Due date", "Due date"),
date = c(
ymd(20250310),
ymd(20250505)),
topic = c("HW Resub Deadline",
"HW Resub Deadline"),
time = c("11:59pm", "11:59pm")
)
exam_week <- seq(ymd(20250512), ymd(20250516), by = 1)
# Custom function for treating the first day of the month as the first week
# of the month up until the first Sunday (unless Sunday was the start of the month)
wom <- function(date) {
first <- wday(as.Date(paste(year(date),month(date),1,sep="-")))
return((mday(date)+(first-2)) %/% 7+1)
}
# Create a data frame of dates, assign to Cal
Cal <- tibble(date = seq(floor_date(min(semester_dates), "month"), ceiling_date(max(semester_dates), "month") - days(1), by=1)) %>%
mutate(mon = lubridate::month(date, label=T, abbr=F), # get month label
wkdy = weekdays(date, abbreviate=T), # get weekday label
wkdy = fct_relevel(wkdy, "Sun", "Mon", "Tue", "Wed", "Thu","Fri","Sat"), # make sure Sunday comes first
semester = date %in% semester_dates, # is date part of the semester?
exam = date %in% exam_dates$date, # is it an exam?
due = date %in% project_dates$date , # is it a due date
not_here = date %in% not_here_dates, # is it a day off?
exam_wk = date %in% exam_week,
day = lubridate::mday(date), # get day of month to add later as a label
# Below: our custom wom() function
week = wom(date),
sem_week = pmin(17, pmax(0, epiweek(date) - 3)) - if_else(date > ymd(20250316), 1, 0))
# Create a category variable, for filling in squares colorwise
Cal <- Cal %>%
mutate(category = case_when(
exam ~ "Exam",
due ~ "Due date",
not_here ~ "UNL holiday",
semester & wkdy %in% class_wdays & !not_here & !exam_wk ~ "Class Day",
semester ~ "Semester",
TRUE ~ "NA"
)) |>
left_join(
bind_rows(project_dates, exam_dates),
by = c("date", "category"))
class_cal <- ggplot(Cal, aes(wkdy, week)) +
theme_bw() +
theme(panel.grid.major.x = element_blank(),
legend.position = "inside",
legend.position.inside = c(1,0),
legend.justification = c(1, 0),
legend.title = element_blank(),
axis.title.y = element_blank(), axis.title.x = element_blank(), axis.ticks.y = element_blank(), axis.text.y = element_blank()) +
# geom_tile and facet_wrap will do all the heavy lifting
geom_tile(alpha=0.8, aes(fill=category), color="black", linewidth=.45) +
facet_wrap(~mon, scales = "free", ncol=3) +
# fill in tiles to make it look more "calendary" (sic)
geom_text(aes(label=day, color = semester&(!not_here))) +
# put your y-axis down, flip it, and reverse it
scale_y_reverse(breaks=NULL) +
# manually fill scale colors to something you like...
scale_color_manual(values = c("FALSE" = "grey70", "TRUE" = "black"), guide = "none") +
scale_fill_manual(values=c("Class Day"="purple",
"Exam" = "green",
"Due date"="orange",
"Semester"="white",
"UNL holiday" = "grey10",
"NA" = "white" # I like these whited out...
),
#... but also suppress a label for a non-class semester day
breaks=c("Semester", "UNL holiday", "Exam", "Due date", "Class Day"))
# class_cal
topics <- read_excel("course-schedule.xlsx", sheet = 1) |>
rename(sem_week=Week, topic = Title) |>
select(sem_week, topic)
duedates <- filter(Cal, category %in% c("Due date", "Exam")) |>
mutate(important = if_else(!is.na(time),
paste(topic, ": ", format.Date(date, "%b %d"), " (", time, ")", sep = ""),
paste(topic, ": ", format.Date(date, "%b %d"), sep = ""))) |>
select(sem_week, important)
schedule <- topics |>
full_join(duedates) |>
arrange(sem_week) |>
rename("Week" = sem_week, "Topic" = topic, "Important Notes" = important)