X-Git-Url: https://code.communitydata.science/coldcallbot-discord.git/blobdiff_plain/e98bacabb8a1e7095a966f1461bf4a345a60433e..743e0a39f3f56beab45e22845cd5117a5e316506:/data/track_participation.R?ds=sidebyside diff --git a/data/track_participation.R b/data/track_participation.R index d44e74d..9a51084 100644 --- a/data/track_participation.R +++ b/data/track_participation.R @@ -1,12 +1,20 @@ library(ggplot2) +library(data.table) gs <- read.delim("student_information.tsv") d <- gs[,c(2,5)] colnames(d) <- c("student.num", "discord.name") -call.list <- do.call("rbind", lapply(list.files(".", pattern="^call_list-.*tsv$"), function (x) {read.delim(x)})) +call.list <- do.call("rbind", lapply(list.files(".", pattern="^call_list-.*tsv$"), function (x) {read.delim(x)[,1:4]})) colnames(call.list) <- gsub("_", ".", colnames(call.list)) +call.list$day <- as.Date(call.list$timestamp) + +## drop calls where the person wasn't present +call.list.full <- call.list +call.list[!call.list$answered,] +call.list <- call.list[call.list$answered,] + call.counts <- data.frame(table(call.list$discord.name)) colnames(call.counts) <- c("discord.name", "num.calls") @@ -17,8 +25,85 @@ d$num.calls[is.na(d$num.calls)] <- 0 attendance <- unlist(lapply(list.files(".", pattern="^attendance-.*tsv$"), function (x) {d <- read.delim(x); strsplit(d[[2]], ",")})) -attendance.counts <- data.frame(table(attendance)) +file.to.attendance.list <- function (x) { + tmp <- read.delim(x) + d.out <- data.frame(discord.name=unlist(strsplit(tmp[[2]], ","))) + d.out$day <- rep(as.Date(tmp[[1]][1]), nrow(d.out)) + return(d.out) +} + +attendance <- do.call("rbind", + lapply(list.files(".", pattern="^attendance-.*tsv$"), + file.to.attendance.list)) + +## create list of folks who are missing in class +missing.in.class <- call.list.full[is.na(call.list.full$answered) | + (!is.na(call.list.full$answered) & !call.list.full$answered), + c("discord.name", "day")] + +missing.in.class <- unique(missing.in.class) + +setDT(attendance) +setkey(attendance, discord.name, day) +setDT(missing.in.class) +setkey(missing.in.class, discord.name, day) + +## drop presence for people on missing days +attendance[missing.in.class,] +attendance <- as.data.frame(attendance[!missing.in.class,]) + +attendance.counts <- data.frame(table(attendance$discord.name)) colnames(attendance.counts) <- c("discord.name", "num.present") -d <- merge(d, attendance.counts, all.x=TRUE, all.y=TRUE, by="discord.name"); d +d <- merge(d, attendance.counts, + all.x=TRUE, all.y=TRUE, + by="discord.name") + +days.list <- lapply(unique(attendance$day), function (day) { + day.total <- table(call.list.full$day == day)[["TRUE"]] + lapply(d$discord.name, function (discord.name) { + num.present <- nrow(attendance[attendance$day == day & attendance$discord.name == discord.name,]) + if (num.present/day.total > 1) {print(day)} + data.frame(discord.name=discord.name, + days.present=(num.present/day.total)) + }) +}) + +days.tmp <- do.call("rbind", lapply(days.list, function (x) do.call("rbind", x))) + +days.tbl <- tapply(days.tmp$days.present, days.tmp$discord.name, sum) + +attendance.days <- data.frame(discord.name=names(days.tbl), + days.present=days.tbl, + days.absent=length(list.files(".", pattern="^attendance-.*tsv$"))-days.tbl) + +d <- merge(d, attendance.days, + all.x=TRUE, all.y=TRUE, by="discord.name") + +d[sort.list(d$days.absent), c("discord.name", "num.calls", "days.absent")] + +## make some visualizations of whose here/not here +####################################################### + +png("questions_absence_histogram_combined.png", units="px", width=800, height=600) + +ggplot(d) + + aes(x=as.factor(num.calls), fill=days.absent, group=days.absent) + + geom_bar(color="black") + + scale_x_discrete("Number of questions asked") + + scale_y_continuous("Number of students") + + scale_fill_continuous("Days absent", low="red", high="blue")+ + theme_bw() + +dev.off() + +png("questions_absenses_boxplots.png", units="px", width=800, height=600) + +ggplot(data=d) + + aes(x=as.factor(num.calls), y=days.absent) + + geom_boxplot() + + scale_x_discrete("Number of questions asked") + + scale_y_continuous("Days absent") + +dev.off()