9.1 Boxplot
9.1.1 Goal
You want to create a boxplot:
Figure 9.1: Building Energy Signature Plot
9.1.2 Data Basis
A csv file with room temperature and humidity time series of four rooms. Below are only the room temperatures visualized.
Figure 9.2: Room Temperature Raw Data for Boxplot
9.1.3 Solution
Create a new script, copy/paste the following code and run it:
library(ggplot2)
library(plotly)
library(dplyr)
library(tidyr)
library(redutils)
library(lubridate)
# load time series data and aggregate daily mean values
df <- read.csv("https://github.com/hslu-ige-laes/edar/raw/master/sampleData/flatTempHum.csv",
stringsAsFactors=FALSE,
sep =";")
df$time <- parse_date_time(df$time,
order = "YmdHMS",
tz = "Europe/Zurich")
df <- df %>%
select(time, FlatA_Temp, FlatB_Temp, FlatC_Temp, FlatD_Temp)
df <- as.data.frame(tidyr::pivot_longer(df,
cols = -time,
names_to = "room",
values_to = "Temp",
values_drop_na = TRUE))
minY <- round(min(df %>% select(Temp), na.rm = TRUE) - 1, digits = 0)
maxY <- round(max(df %>% select(Temp), na.rm = TRUE) + 1, digits = 0)
plot <- ggplot(df, aes(x = room, y = Temp)) +
geom_boxplot(outlier.alpha = 0.01, outlier.shape = 1, outlier.colour = "darkgrey") +
scale_y_continuous(limits=c(minY,maxY), breaks = seq(minY, maxY, by = 2)) +
ggtitle("Boxplot per Flat/Room") +
theme_minimal() +
theme(
legend.position="none",
plot.title = element_text(hjust = 0.5)
)
yaxis <- list(
title = "Temp<sub>Room</sub> in \u00B0C\n",
automargin = TRUE,
titlefont = list(size = 14, color = "darkgrey")
)
# create interactive plot
ggplotly(plot + ylab(" ") + xlab(" ")) %>%
plotly::config(modeBarButtons = list(list("toImage")),
displaylogo = FALSE,
toImageButtonOptions = list(
format = "svg"
)
) %>%
layout(yaxis = yaxis)