summaryrefslogtreecommitdiff
path: root/climbing.rnw
blob: 0bb19af7d1645e2543029872d5a72dca89bd23d1 (plain)
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
79
80
81
\documentclass[a4paper, 11pt, landscape]{article}

% \usepackage{crla_titlepage}
\usepackage[T1]{fontenc}
\usepackage[french]{babel}
\usepackage{pdflscape}
\usepackage[total={10in, 7in}]{geometry}

\author{Benjamin Chausse}
\date{\today}
\title{Climbers Over Time at La Débarque}
% \personaltitle{}
% \classnb{}
% \subject{}
% \group{}
% \teacher{}

\begin{document}
\maketitle
\newpage

<<LIBRARIES>>=
library(ggplot2)
library(ggforce)
library(scales)
@

<<CSV>>=
attendance <- data.frame(
                         read.csv("./debarque.csv",
                                  header=TRUE,
                                  sep=","))
attendance$DAY <- as.POSIXct(attendance$DAY,format="%Y-%m-%d")
attendance$TIME <- as.POSIXct(attendance$TIME,format="%R")
attendance$WEEKDAY <- weekdays(attendance$DAY)
attendance$WEEKDAY <- factor(attendance$WEEKDAY,
                             levels=c(
                                      "Sunday",
                                      "Monday",
                                      "Tuesday",
                                      "Wednesday",
                                      "Thursday",
                                      "Friday",
                                      "Saturday"))
@
\newpage
<<WEEK-PLOT>>=
# Day of the week averages
week <- ggplot(attendance,
                   aes(x=TIME,
                       y=CLIMBERS,
                       group=WEEKDAY,
                       col=as.factor(DAY))) +
  geom_path(group=attendance$DAY) +
  geom_smooth(method="gam") +
  scale_y_continuous(
    breaks=seq(1,25,2),
    limits=c(0,25),
    labels = scales::number_format(accuracy = 1)) +
  scale_x_datetime(
    labels=date_format("%R", tz="America/Toronto"),
    date_breaks="2 hours") +
  labs(x="Time of day",
       y="Number of climbers") +
  theme(legend.position="none") +
  facet_wrap(~WEEKDAY)
@
<<TIMELINE-PLOT>>=
# Daily attendances through time
timeline <- ggplot(attendance, aes(x=DAY, y=CLIMBERS)) +
  geom_line(stat="summary", fun=mean)
@
\centering
<<PRINT-WEEK, echo=FALSE, fig.fullwidth=TRUE, fig.width=10>>=
print(week)
@

% <<PRINT-TIMELINE, fig.width=10, fig.fullwidth=TRUE, echo=FALSE>>=
% print(timeline)
% @
\end{document}