updated participation graphing

[coldcallbot-discord.git] / data / track_participation.R

diff --git a/data/track_participation.R b/data/track_participation.R
index d44e74d7ff53b265cfdfd03ec839d3a95ee17801..66ca3dbc7954808399090e991fea5fc4e066d84e 100644 (file)
--- a/data/track_participation.R
+++ b/data/track_participation.R
@@ -4,7 +4,7 @@ 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)[,1:3]}))
 colnames(call.list) <- gsub("_", ".", colnames(call.list))
 
 call.counts <- data.frame(table(call.list$discord.name))
@@ -22,3 +22,30 @@ colnames(attendance.counts) <- c("discord.name", "num.present")
 
 d <- merge(d, attendance.counts, all.x=TRUE, all.y=TRUE, by="discord.name"); d
 
+
+color.gradient <- scales::seq_gradient_pal("yellow", "magenta", "Lab")(seq(0,1,length.out=length(unique(d$num.present))))
+
+png("questions_absence_histogram_combined.png", units="px", width=800, height=600)
+
+ggplot(d) +
+    aes(x=as.factor(num.calls), fill=as.factor(num.present)) +
+    geom_bar(color="black") +
+    stat_count() +
+    scale_x_discrete("Number of questions asked") +
+    scale_y_continuous("Number of students") +
+    # scale_fill_brewer("Absences") +
+    scale_fill_manual("Absences", values=color.gradient) +
+    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=num.present) +
+    geom_boxplot() +
+    scale_x_discrete("Number of questions asked") +
+    scale_y_continuous("Number of questions present")
+
+dev.off()
+