assessment_and_tracking/track_participation.R

   1 library(ggplot2)
   2 library(data.table)
   3
   4 gs <- read.delim("student_information.tsv")
   5 d <- gs[,c(2,5)]
   6 colnames(d) <- c("student.num", "discord.name")
   7
   8 call.list <- do.call("rbind", lapply(list.files(".", pattern="^call_list-.*tsv$"), function (x) {read.delim(x)[,1:4]}))
   9 colnames(call.list) <- gsub("_", ".", colnames(call.list))
  10
  11 call.list$day <- as.Date(call.list$timestamp)
  12
  13 ## drop calls where the person wasn't present
  14 call.list.full <- call.list
  15 call.list[!call.list$answered,]
  16 call.list <- call.list[call.list$answered,]
  17
  18 call.counts <- data.frame(table(call.list$discord.name))
  19 colnames(call.counts) <- c("discord.name", "num.calls")
  20
  21 d <- merge(d, call.counts, all.x=TRUE, all.y=TRUE, by="discord.name"); d
  22
  23 ## set anything that's missing to zero
  24 d$num.calls[is.na(d$num.calls)] <- 0
  25
  26 attendance <- unlist(lapply(list.files(".", pattern="^attendance-.*tsv$"), function (x) {d <- read.delim(x); strsplit(d[[2]], ",")}))
  27
  28 file.to.attendance.list <- function (x) {
  29     tmp <- read.delim(x)
  30     d.out <- data.frame(discord.name=unlist(strsplit(tmp[[2]], ",")))
  31     d.out$day <- rep(as.Date(tmp[[1]][1]), nrow(d.out))
  32     return(d.out)
  33 }
  34
  35 attendance <- do.call("rbind",
  36                       lapply(list.files(".", pattern="^attendance-.*tsv$"),
  37                              file.to.attendance.list))
  38
  39 ## create list of folks who are missing in class
  40 missing.in.class  <- call.list.full[is.na(call.list.full$answered) |
  41                                     (!is.na(call.list.full$answered) & !call.list.full$answered),
  42                                     c("discord.name", "day")]
  43
  44 missing.in.class <- unique(missing.in.class)
  45
  46 setDT(attendance)
  47 setkey(attendance, discord.name, day)
  48 setDT(missing.in.class)
  49 setkey(missing.in.class, discord.name, day)
  50
  51 ## drop presence for people on missing days
  52 attendance[missing.in.class,]
  53 attendance <- as.data.frame(attendance[!missing.in.class,])
  54
  55 attendance.counts <- data.frame(table(attendance$discord.name))
  56 colnames(attendance.counts) <- c("discord.name", "num.present")
  57
  58 d <- merge(d, attendance.counts,
  59            all.x=TRUE, all.y=TRUE,
  60            by="discord.name")
  61
  62 days.list <- lapply(unique(attendance$day), function (day) {
  63     day.total <- table(call.list.full$day == day)[["TRUE"]]
  64     lapply(d$discord.name, function (discord.name) {
  65         num.present <- nrow(attendance[attendance$day == day & attendance$discord.name == discord.name,])
  66         if (num.present/day.total > 1) {print(day)}
  67         data.frame(discord.name=discord.name,
  68                    days.present=(num.present/day.total))
  69     })
  70 })
  71
  72 days.tmp <- do.call("rbind", lapply(days.list, function (x) do.call("rbind", x)))
  73
  74 days.tbl <- tapply(days.tmp$days.present, days.tmp$discord.name, sum)
  75
  76 attendance.days <- data.frame(discord.name=names(days.tbl),
  77                               days.present=days.tbl,
  78                               days.absent=length(list.files(".", pattern="^attendance-.*tsv$"))-days.tbl)
  79
  80 d <- merge(d, attendance.days,
  81            all.x=TRUE, all.y=TRUE, by="discord.name")
  82
  83 d[sort.list(d$days.absent), c("discord.name", "num.calls", "days.absent")]
  84
  85 ## make some visualizations of whose here/not here
  86 #######################################################
  87
  88 png("questions_absence_histogram_combined.png", units="px", width=800, height=600)
  89
  90 ggplot(d) +
  91     aes(x=as.factor(num.calls), fill=days.absent, group=days.absent) +
  92     geom_bar(color="black") +
  93     scale_x_discrete("Number of questions asked") +
  94     scale_y_continuous("Number of students") +
  95     scale_fill_continuous("Days absent", low="red", high="blue")+
  96     theme_bw()
  97
  98 dev.off()
  99
 100 png("questions_absenses_boxplots.png", units="px", width=800, height=600)
 101
 102 ggplot(data=d) +
 103     aes(x=as.factor(num.calls), y=days.absent) +
 104     geom_boxplot() +
 105     scale_x_discrete("Number of questions asked") +
 106     scale_y_continuous("Days absent")
 107
 108 dev.off()
 109