code to create final case discussion grades

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

diff --git a/assessment_and_tracking/track_participation.R b/assessment_and_tracking/track_participation.R
index c2b1ef9c4f7aed9c67dfce60f554c4f6e8797817..37898e70b6ebae1affb0a676a43049f9687ee788 100644 (file)
--- a/assessment_and_tracking/track_participation.R
+++ b/assessment_and_tracking/track_participation.R
@@ -96,23 +96,19 @@ color.gradient <- scales::seq_gradient_pal("yellow", "magenta", "Lab")(seq(0,1,l
 
 table(d$num.calls, d$absences)
 
-ggplot(data=d) +
-    aes(x=as.factor(num.calls), y=absences) +
-    geom_violin()
-
-## png("questions_absence_histogram_combined.png", units="px", width=600, height=400)
+png("questions_absence_histogram_combined.png", units="px", width=600, height=400)
 
 ggplot(d) +
     aes(x=as.factor(num.calls), fill=as.factor(absences)) +
     geom_bar(color="black") +
     stat_count() +
-    scale_x_discrete("Number of questions asked") +
+    scale_x_discrete("Number of questions answered") +
     scale_y_continuous("Number of students") +
     ##scale_fill_brewer("Absences", palette="Blues") +
     scale_fill_manual("Absences", values=color.gradient) +
     theme_bw()
 
-## dev.off()
+dev.off()
 
 absence.labeller <- function (df) {
     lapply(df, function (x) { paste("Absences:", x) })
@@ -120,12 +116,12 @@ absence.labeller <- function (df) {
 
 ## png("questions_absence_histogram_facets.png", units="px", width=600, height=400)
 
-ggplot(d) +
-    aes(x=as.factor(num.calls)) +
-    geom_bar() +
-    stat_count() +
-    scale_x_discrete("Number of questions asked as of 2020-02-12") +
-    scale_y_continuous("Number of students") +
-    theme_bw() +
-    facet_wrap(.~absences, ncol=5, labeller="absence.labeller")
+## ggplot(d) +
+##     aes(x=as.factor(num.calls)) +
+##     geom_bar() +
+##     stat_count() +
+##     scale_x_discrete("Number of questions answered") +
+##     scale_y_continuous("Number of students") +
+##     theme_bw() +
+##     facet_wrap(.~absences, ncol=5, labeller="absence.labeller")