52 lines
1.7 KiB
R
52 lines
1.7 KiB
R
library(ggplot2)
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gs <- read.delim("student_information.tsv")
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d <- gs[,c(2,5)]
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colnames(d) <- c("student.num", "discord.name")
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call.list <- do.call("rbind", lapply(list.files(".", pattern="^call_list-.*tsv$"), function (x) {read.delim(x)[,1:3]}))
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colnames(call.list) <- gsub("_", ".", colnames(call.list))
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call.counts <- data.frame(table(call.list$discord.name))
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colnames(call.counts) <- c("discord.name", "num.calls")
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d <- merge(d, call.counts, all.x=TRUE, all.y=TRUE, by="discord.name"); d
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## set anything that's missing to zero
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d$num.calls[is.na(d$num.calls)] <- 0
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attendance <- unlist(lapply(list.files(".", pattern="^attendance-.*tsv$"), function (x) {d <- read.delim(x); strsplit(d[[2]], ",")}))
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attendance.counts <- data.frame(table(attendance))
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colnames(attendance.counts) <- c("discord.name", "num.present")
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d <- merge(d, attendance.counts, all.x=TRUE, all.y=TRUE, by="discord.name"); d
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color.gradient <- scales::seq_gradient_pal("yellow", "magenta", "Lab")(seq(0,1,length.out=length(unique(d$num.present))))
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png("questions_absence_histogram_combined.png", units="px", width=800, height=600)
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ggplot(d) +
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aes(x=as.factor(num.calls), fill=as.factor(num.present)) +
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geom_bar(color="black") +
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stat_count() +
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scale_x_discrete("Number of questions asked") +
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scale_y_continuous("Number of students") +
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# scale_fill_brewer("Absences") +
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scale_fill_manual("Absences", values=color.gradient) +
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theme_bw()
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dev.off()
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png("questions_absenses_boxplots.png", units="px", width=800, height=600)
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ggplot(data=d) +
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aes(x=as.factor(num.calls), y=num.present) +
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geom_boxplot() +
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scale_x_discrete("Number of questions asked") +
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scale_y_continuous("Number of questions present")
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dev.off()
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