collective/coldcallbot
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clean up the plots being generated

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This commit is contained in:
Benjamin Mako Hill 2022-01-24 18:53:04 -08:00
parent a59b6b86ff
commit 0738f9791a
1 changed files with 2 additions and 6 deletions
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8
assessment_and_tracking/track_participation.R
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@ -96,17 +96,13 @@ 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)
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) +
@ -124,7 +120,7 @@ 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_x_discrete("Number of questions answered") +
scale_y_continuous("Number of students") +
theme_bw() +
facet_wrap(.~absences, ncol=5, labeller="absence.labeller")