X-Git-Url: https://code.communitydata.science/coldcallbot-discord.git/blobdiff_plain/743e0a39f3f56beab45e22845cd5117a5e316506..9c4f81c30ac7c23cf1dfad7af54d1f12d4ba4d58:/data/track_participation.R diff --git a/data/track_participation.R b/data/track_participation.R deleted file mode 100644 index 9a51084..0000000 --- a/data/track_participation.R +++ /dev/null @@ -1,109 +0,0 @@ -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$"), function (x) {read.delim(x)[,1:4]})) -colnames(call.list) <- gsub("_", ".", colnames(call.list)) - -call.list$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") - -d <- merge(d, call.counts, all.x=TRUE, all.y=TRUE, by="discord.name"); d - -## set anything that's missing to zero -d$num.calls[is.na(d$num.calls)] <- 0 - -attendance <- unlist(lapply(list.files(".", pattern="^attendance-.*tsv$"), function (x) {d <- read.delim(x); strsplit(d[[2]], ",")})) - -file.to.attendance.list <- function (x) { - tmp <- read.delim(x) - d.out <- data.frame(discord.name=unlist(strsplit(tmp[[2]], ","))) - d.out$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$discord.name)) -colnames(attendance.counts) <- c("discord.name", "num.present") - -d <- merge(d, attendance.counts, - all.x=TRUE, all.y=TRUE, - by="discord.name") - -days.list <- lapply(unique(attendance$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() -