data/track_participation.R

   1 library(ggplot2)
   2
   3 gs <- read.delim("student_information.tsv")
   4 d <- gs[,c(2,5)]
   5 colnames(d) <- c("student.num", "discord.name")
   6
   7 call.list <- do.call("rbind", lapply(list.files(".", pattern="^call_list-.*tsv$"), function (x) {read.delim(x)[,1:3]}))
   8 colnames(call.list) <- gsub("_", ".", colnames(call.list))
   9
  10 call.counts <- data.frame(table(call.list$discord.name))
  11 colnames(call.counts) <- c("discord.name", "num.calls")
  12
  13 d <- merge(d, call.counts, all.x=TRUE, all.y=TRUE, by="discord.name"); d
  14
  15 ## set anything that's missing to zero
  16 d$num.calls[is.na(d$num.calls)] <- 0
  17
  18 attendance <- unlist(lapply(list.files(".", pattern="^attendance-.*tsv$"), function (x) {d <- read.delim(x); strsplit(d[[2]], ",")}))
  19
  20 attendance.counts <- data.frame(table(attendance))
  21 colnames(attendance.counts) <- c("discord.name", "num.present")
  22
  23 d <- merge(d, attendance.counts, all.x=TRUE, all.y=TRUE, by="discord.name"); d
  24
  25
  26 color.gradient <- scales::seq_gradient_pal("yellow", "magenta", "Lab")(seq(0,1,length.out=length(unique(d$num.present))))
  27
  28 png("questions_absence_histogram_combined.png", units="px", width=800, height=600)
  29
  30 ggplot(d) +
  31     aes(x=as.factor(num.calls), fill=as.factor(num.present)) +
  32     geom_bar(color="black") +
  33     stat_count() +
  34     scale_x_discrete("Number of questions asked") +
  35     scale_y_continuous("Number of students") +
  36     # scale_fill_brewer("Absences") +
  37     scale_fill_manual("Absences", values=color.gradient) +
  38     theme_bw()
  39
  40 dev.off()
  41
  42 png("questions_absenses_boxplots.png", units="px", width=800, height=600)
  43
  44 ggplot(data=d) +
  45     aes(x=as.factor(num.calls), y=num.present) +
  46     geom_boxplot() +
  47     scale_x_discrete("Number of questions asked") +
  48     scale_y_continuous("Number of questions present")
  49
  50 dev.off()
  51