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shiny_app.R
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shiny_app.R
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## Shiny Dashboard: Energy Consumption
## Author: Kais Kawar
##
## Notes: You need the dataset FullData10.csv and style.css in order to run this code
#Loading Libraries ---------------------------------
if(!require(pacman)) install.packages("pacman")
p_load(dplyr, lubridate, devtools, tidyr, ggplot2, knitr, kableExtra,
shiny, plotly,shinydashboard)
#Preprocess ----------------------------------------
dfFullYr <- readRDS("data/FullData10.rds")
#dfFullYr <- read.csv("data/FullData10.csv", row.names = NULL)
dfFullYr$DateTime <- as.POSIXct(dfFullYr$DateTime, "%Y/%m/%d %H:%M:%S")
attr(dfFullYr$DateTime, "tzone") <- "Europe/Paris"
#Functions -----------------------------------------
#Function that takes in two args, n for the data range and gran for the grouping in min, hr or days
userInput <- function(n, gran) {
temp <- NULL
if(gran == "Minute"){
temp <- dfFullYr %>%
filter(DateTime >= n$input_date[1] & DateTime <= n$input_date[2])
} else if (gran == "Hour") {
temp <- dfFullYr %>%
filter(DateTime >= n$input_date[1] & DateTime <= n$input_date[2]) %>%
group_by(YEAR = year(DateTime),
MONTH = month(DateTime),
DAY = day(DateTime),
HOUR = hour(DateTime)) %>%
summarise(SM_Others = sum(SM_Others),
SM_Kitchen = sum(SM_Kitchen),
SM_Laundry = sum(SM_Laundry),
SM_HeaterAC = sum(SM_HeaterAC)) %>%
ungroup() %>%
mutate(DateTime = paste0(YEAR,"-",MONTH,"-",DAY," ",HOUR,":00:00"),
DateTime = as.POSIXct(DateTime, "%Y-%m-%d %h:%m:%s"))
}else if(gran == "Day") {
temp <- dfFullYr %>%
filter(DateTime >= n$input_date[1] & DateTime <= n$input_date[2]) %>%
group_by(YEAR = year(DateTime),
MONTH = month(DateTime),
DAY = day(DateTime)) %>%
summarise(SM_Others = sum(SM_Others),
SM_Kitchen = sum(SM_Kitchen),
SM_Laundry = sum(SM_Laundry),
SM_HeaterAC = sum(SM_HeaterAC)) %>%
ungroup() %>%
mutate(DateTime = paste(YEAR,MONTH,DAY, sep = "-"),
DateTime = as.POSIXct(DateTime, "%Y-%m-%d"))
} else {
temp <- dfFullYr %>%
filter(DateTime >= n$input_date[1] & DateTime <= n$input_date[2]) %>%
group_by(YEAR = year(DateTime),
MONTH = MONTH(DateTime)) %>%
summarise(SM_Others = sum(SM_Others),
SM_Kitchen = sum(SM_Kitchen),
SM_Laundry = sum(SM_Laundry),
SM_HeaterAC = sum(SM_HeaterAC)) %>%
ungroup() %>%
mutate(DateTime = paste(YEAR,MONTH, sep = "-"))
}
return(temp)
}
#Get sum of submeters and cost
getSum <- function(d1, d2) {
return(dfFullYr %>%
filter(d1 <= DateTime & d2 >= DateTime) %>%
summarise(sumSM0kwh = (sum(SM_Others) / 1000),
sumSM1kwh = (sum(SM_Kitchen) / 1000),
sumSM2kwh = (sum(SM_Laundry) / 1000),
sumSM3kwh = (sum(SM_HeaterAC) / 1000),
sumTotalkwh = sumSM0kwh + sumSM1kwh + sumSM2kwh + sumSM3kwh) %>%
mutate(SM0CostEuro = c(sumSM0kwh * 0.15),
SM1CostEuro = c(sumSM1kwh * 0.15),
SM2CostEuro = c(sumSM2kwh * 0.15),
SM3CostEuro = c(sumSM3kwh * 0.15),
SMTotalCostEuro = c(sumTotalkwh * 0.15)) %>%
round())
}
#Get sum for certain submeter
getSubmeterSum <- function(d1,d2, sm) {
sums <- getSum(d1,d2)
return(sums[,sm])
}
#Title function
setTitle <- function(n) {
temp_newdate1 <- strptime(as.character(n$input_date[1]), "%Y-%m-%d")
temp_txtdate1 <- format(temp_newdate1, "%b %d, %Y")
temp_newdate2 <- strptime(as.character(n$input_date[2]), "%Y-%m-%d")
temp_txtdate2 <- format(temp_newdate2, "%b %d, %Y")
title <- paste0("Your Power Consumption Between ", temp_txtdate1, " & ",
temp_txtdate2)
return(title)
}
## Dashboard compenents -------------------------------
#Components of the interface, and inputs/outputs
ui <- dashboardPage(
dashboardHeader(
title = "Energy Consumption",
titleWidth = 230
),
dashboardSidebar(
dateRangeInput(inputId = "input_date", "Date range",
min = "2007-01-01",
max= "2010-11-26",
start = "2007-01-01",
end= "2007-2-31",
format = "yyyy-mm-dd",
startview = "month",
autoclose = TRUE),
selectInput("input_gran", "Choose Detail:",
choices = list("Minute", "Hour","Day"), selected = "Day")
),
dashboardBody(
tabsetPanel(type="tab",
tabPanel(id=1,"Power Usage Data", plotlyOutput(outputId = "output_plot1"),
fluidRow(
includeCSS("style.css"),
column(3,valueBoxOutput("kitchen")),
column(3,valueBoxOutput("laundry")),
column(3,valueBoxOutput("heaterac")),
column(3,valueBoxOutput("others"))),
fluidRow(
includeCSS("style.css"),
box(
status = "info",
width = 8,
#background = 'red',
htmlOutput("totalConsumption")
))
),
tabPanel(id=2,"Recommendations",
fluidRow(
box(
width = 6,
collapsible=TRUE,
background = "green",
p("Good morning, Tim. You consumed 23% less energy in the kitchen than the previous week. Nice Work!")
)),
fluidRow(
box(
width = 6,
collapsible=TRUE,
background = "red",
p("The software detected that your refrigerator energy efficiency level is too low. ", tags$a(href="www.amazon.de", "Click here"), "for a catered lst of efficient refrigerators and get a 10% discount!!"
, icon("tag", lib = "font-awesome"))
))
)
)
)
)
#Takings input/output from the UI and we can create elements and embed plots
server <- function(input, output) {
output$output_plot1 <- renderPlotly({
plot_ly(userInput(input, input$input_gran), x = ~DateTime, y = ~SM_Kitchen, name = 'Kitchen', type = 'scatter', mode = 'lines') %>%
#add_trace(y = ~SM_Kitchen, name = 'Kitchen', mode = 'lines') %>%
add_trace(y = ~SM_Laundry, name = 'Laundry Room', mode = 'lines') %>%
add_trace(y = ~SM_HeaterAC, name = 'Water Heater & AC', mode = 'lines')%>%
add_trace(y = ~SM_Others, name = 'Other Appliances', mode = 'lines') %>%
layout(title = setTitle(input),
xaxis = list(title = "Date"),
yaxis = list (title = "Power (watt-hours)"))
})
output$kitchen <- renderValueBox({
sm1 <-getSubmeterSum(input$input_date[1], input$input_date[2], "sumSM1kwh")
sm1c <-getSubmeterSum(input$input_date[1], input$input_date[2], "SM1CostEuro")
infoBox(
title="Kitchen",
subtitle = paste0(formatC(sm1, digits = 0, format = "f"), " kWh"),
value = paste0("\u20ac",formatC(sm1c, digits = 0, format = "f"), " Euros"),
icon = icon("utensils"),
color = "aqua"#if (downloadRate >= input$rateThreshold) "yellow" else "aqua"
)
})
output$laundry <- renderValueBox({
sm2 <-getSubmeterSum(input$input_date[1], input$input_date[2], "sumSM2kwh")
sm2c <-getSubmeterSum(input$input_date[1], input$input_date[2], "SM2CostEuro")
infoBox(
title="Laundry",
subtitle = paste0(formatC(sm2, digits = 0, format = "f"), " kWh"),
value = paste0("\u20ac",formatC(sm2c, digits = 0, format = "f"), " Euros"),
icon = icon("tshirt"),
color = "orange"
)
})
output$heaterac <- renderValueBox({
sm3 <-getSubmeterSum(input$input_date[1], input$input_date[2], "sumSM3kwh")
sm3c <-getSubmeterSum(input$input_date[1], input$input_date[2], "SM3CostEuro")
infoBox(
title="Heater & AC",
subtitle = paste0(formatC(sm3, digits = 0, format = "f"), " kWh"),
value = paste0("\u20ac",formatC(sm3c, digits = 0, format = "f"), " Euros"),
icon = icon("burn"),
color = "green"
)
})
output$others <- renderValueBox({
sm0 <-getSubmeterSum(input$input_date[1], input$input_date[2], "sumSM0kwh")
sm0c <-getSubmeterSum(input$input_date[1], input$input_date[2], "SM0CostEuro")
infoBox(
title="Other Appliances",
subtitle = paste0(formatC(sm0, digits = 0, format = "f"), " kWh"),
value = paste0("\u20ac",formatC(sm0c, digits = 0, format = "f"), " Euros"),
icon = icon("plug"),
color = "red"
)
})
output$totalConsumption <- renderText({
smTotal <-getSubmeterSum(input$input_date[1], input$input_date[2], "sumTotalkwh")
smTotalc <-getSubmeterSum(input$input_date[1], input$input_date[2], "SMTotalCostEuro")
paste0(h4("Your total energy consumption for the selected duration was ",
tags$b(formatC(smTotal, digits = 0, format = "f")),
" kWh, and the total cost is \u20ac",
tags$b(formatC(smTotalc, digits = 0, format = "f"))))
})
}
#Run server to see results
shinyApp(ui, server)
##visualizations
# SubSet1year <- dfFullYr %>%
# #filter(year(DateTime) == 2009) %>%
# group_by(DAY = day(DateTime),
# MONTH = month(DateTime), YEAR = year(DateTime)) %>%
# summarise(SM_Others = sum(SM_Others),
# SM_Kitchen = sum(SM_Kitchen),
# SM_Laundry = sum(SM_Laundry),
# SM_HeaterAC = sum(SM_HeaterAC)) %>%
# mutate(SumSubmeter = SM_Others + SM_Kitchen + SM_Laundry + SM_HeaterAC) %>%
# ungroup() %>%
# mutate(DateTime = paste(YEAR,MONTH,DAY, sep = "-"),
# DateTime = as.POSIXct(DateTime, "%Y-%m-%d")) %>%
# arrange(DateTime)
#
#
# ggplot(SubSet1year, aes(x = DAY, y = SumSubmeter/1000, color = factor(YEAR))) +
# geom_smooth(se=F) +
# # facet_grid(YEAR ~.) +
# labs(x='Day', y='kWh',color="Legend", title = 'Energy Consumption Yearly Comparison')+
# theme_minimal()
#
# plot_ly(SubSet1year, x = ~DateTime, y = ~SumSubmeter, name = 'Sum Submeter', type = 'scatter', mode = 'lines') %>%
# layout(#title = setTitle(input),
# title = "Power Consumption in a 2008 Winter Monday (11th Feb, 08)",
# xaxis = list(title = "Day"),
# yaxis = list (title = "Power (watt-hours)"))
temp <- dfFullYr %>%
filter(DateTime >= start & DateTime <= end) %>%
group_by(YEAR = year(DateTime),
MONTH = month(DateTime),
DAY = day(DateTime),
HOUR = hour(DateTime)) %>%
summarise(SM_Others = sum(SM_Others),
SM_Kitchen = sum(SM_Kitchen),
SM_Laundry = sum(SM_Laundry),
SM_HeaterAC = sum(SM_HeaterAC)) %>%
ungroup() %>%
mutate(DateTime = paste0(YEAR,"-",MONTH,"-",DAY," ",HOUR,":00:00"),
DateTime = as.POSIXct(DateTime, "%Y-%m-%d %h:%m:%s"))