-
Notifications
You must be signed in to change notification settings - Fork 4
/
stat545-reg.R
78 lines (70 loc) · 2.73 KB
/
stat545-reg.R
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
library(readr)
library(dplyr)
library(ggplot2)
cl_2014 <- "~/teaching/STAT545A/STAT545-UBC.github.io/course-admin/history/STAT545-registered-students-all-time-anonymized.csv"
cl_2015 <- "~/teaching/STAT545A/STAT545_InstructorsOnly/course-lists/classlist-merged.tsv"
d_2014 <- read_csv(cl_2014)
d_2015 <- read_tsv(cl_2015)
d_2015 <- d_2015 %>%
select(Session, Gender, Program, Spec1_Subject) %>%
rename(year = Session, Degree = Program, Program = Spec1_Subject)
df <- bind_rows(d_2014, d_2015) %>%
mutate(STAT = factor(ifelse(Program %in% "Statistics", "Statistics", "Other"),
levels = c("Statistics", "Other")))
nrow(df) #250
n_distinct(df$Program) #54
sp_dat <- df %>%
group_by(Program) %>%
tally() %>%
mutate(Program = reorder(factor(Program), n)) %>%
arrange(desc(Program))
sp_dat_filt <- sp_dat %>%
filter(n > 1, Program != "")
nrow(sp_dat_filt) #25
p <- ggplot(sp_dat_filt, aes(x = Program, y = n)) +
geom_bar(stat = "identity") + coord_flip() +
ylim(c(0, max(sp_dat_filt$n) + 5))
p + geom_text(aes(label = n), hjust = -0.2) +
theme(axis.title.x = element_blank(), axis.title.y = element_blank())
ggsave("reg-bars.png", p, width = 6, height = 4)
df_by_year_STAT <- df %>%
group_by(year, STAT) %>%
tally()
df_by_year <- df_by_year_STAT %>%
group_by(year) %>%
summarize(n = sum(n))
j_cols <- c(Statistics = "grey33", Other = "grey67")
p <- ggplot(df_by_year_STAT, aes(x = as.factor(year), y = n, fill = STAT)) +
geom_bar(stat = "identity", width = 0.8) +
ylim(c(0, max(df_by_year$n) + 3)) +
scale_fill_manual(values = j_cols) +
guides(fill = guide_legend(reverse = TRUE, title = NULL)) +
labs(x = "year", y = "") +
theme_bw() +
theme(panel.grid.major.x = element_blank(),
legend.position = c(0, 1),
legend.justification = c(0, 1),
legend.background = element_blank())
p <- p + with(year_dat, annotate("text", x = as.factor(year), y = n, label = n,
vjust = -1))
ggsave("reg-bars-stat-vs-other.png", p, width = 6, height = 4)
stat_dat <- df %>%
group_by(STAT) %>%
tally()
pie_labels <-
data_frame(freq = stat_dat$n,
rel_freq = freq / sum(freq),
pos = (cumsum(c(0, freq)) + c(freq, 0)/2)[1:2],
label = paste(stat_dat$STAT, round(rel_freq, 2), sep = "\n"))
p <- ggplot(stat_dat, aes(x = factor(1), y = n, fill = STAT)) +
geom_bar(width = 1, stat = "identity") +
annotate("text", x = 1, y = pie_labels$pos,
label = pie_labels$label) +
coord_polar(theta = "y") +
theme_bw() + guides(fill = FALSE) +
theme(panel.grid.major = element_blank(),
panel.border = element_blank(),
axis.title = element_blank(),
axis.text = element_blank(),
axis.ticks = element_blank())
p