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Commit 91bab036 authored by Tom Rushby's avatar Tom Rushby
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create copy and deploy app to shinyapps.io

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# Working through shiny tutorial, lesson 1
# https://shiny.rstudio.com/tutorial/written-tutorial/lesson1/
# https://shiny.rstudio.com/tutorial/
# Uses code from woRflow/howTo/apiTutorial.md
library(shiny)
library(httr)
library(jsonlite)
library(lubridate)
library(ggplot2)
library(tidyr)
# Define functions ----
getIntensity<- function(dateGet = input$dateToGet, longDF = TRUE) {
response <- httr::GET(paste0("https://api.carbonintensity.org.uk/intensity/",dateGet,"T00:00Z","/fw24h"))
intensityPeriod <- jsonlite::fromJSON(rawToChar(response$content))
periodStart <- lubridate::ymd_hm(intensityPeriod$data$from)
periodEnd <- lubridate::ymd_hm(intensityPeriod$data$to)
periodData<- intensityPeriod$data$intensity
intensityDF <- cbind(periodStart,periodEnd,periodData)
# create time midpoint for plotting
intensityDF$periodMid <- intensityDF$periodStart + lubridate::minutes(15)
intensityDF <- intensityDF[-1,] # remove 1st row
if(longDF){
# prepare data - tidyr
intensityDF <- tidyr::gather(intensityDF, key = "measure", value = "value", c(forecast,actual))
} # end if(longDF)
return(intensityDF)
}
# Define UI for app that draws a histogram ----
ui <- fluidPage(
# App title ----
titlePanel("GB Grid Electricity Carbon Intensity Forecast"),
tags$p("This app was created by ", tags$a(href = "https://energy.soton.ac.uk/rushby/","Tom Rushby "),
tags$a(href = "https://twitter.com/tom_rushby","(@tom_rushby)"),
"for the ",tags$a(href = "https://energy.soton.ac.uk/","Energy and Climate Change Division"),
tags$a(href = "https://twitter.com/EnergySoton","(@EnergySoton)"),"at the University of Southampton."),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
fluidRow(
tags$p("Select the date to view by clicking in the box below (defaults to today's date)."),
tags$p("Data for forecast carbon intensity is available up to four days ahead."),
tags$hr()
),
# Input: Slider for the number of bins ----
dateInput(inputId = "dateToGet",
label = "Select date for forecast:",
value = NULL,
min = lubridate::ymd(2020-01-01),
max = lubridate::today() + lubridate::days(3),
format = "yyyy-mm-dd",
startview = "month",
weekstart = 1,
language = "en")
),
# Main panel for displaying outputs ----
mainPanel(
fluidRow(
tags$br(),
tags$p("The chart below shows the forecast and actual carbon intensity of electricity supplied by National Grid over the 24 hours selected.",
"The data illustrated by this app is retrieved from ", tags$a(href = "https://carbonintensity.org.uk/","National Grid ESO's Carbon Intensity API"),"."),
tags$p("Predicted carbon intensity of electricity is shown in blue (forecast).",
"The carbon intensity of electricity supplied is shown in red (actual)."),
tags$hr(),
# Output: Text ----
#textOutput(outputId = "dateText"),
# Output: Histogram ----
plotOutput(outputId = "intensityPlot")
) # row
) # panel
) # layout
) # page
# Define server logic required to draw a histogram ----
server <- function(input, output) {
# Display date selected ----
output$dateText <- renderText({
paste0("Date selected: ",input$dateToGet)
})
# Get data and create data.frame
#DF <- reactive({getIntensity(dateGet = dateToGet)})
# Create plot
output$intensityPlot <- renderPlot({
plotCaption = paste0("Data from: https://api.carbonintensity.org.uk",
"\nVisualisation: rushby.shinyapps.io/gridforecast")
plotTitle = paste0("24-hour GB grid carbon intensity forecast for ",input$dateToGet)
ggplot(getIntensity(dateGet = input$dateToGet, longDF = TRUE), aes(periodMid,value, fill = measure)) +
geom_col(position = "identity", alpha = 0.6) +
expand_limits(y = c(0,350)) +
labs(x = "Date and time",
y = expression("Intensity gCO"[2]/kWh),
fill = "Intensity",
title = plotTitle,
caption = plotCaption) +
theme(legend.position = "bottom")
})
}
shinyApp(ui = ui, server = server)
name: gridforecast
title: GB Grid Electricity Carbon Intensity Forecast Visualisation
username:
account: rushby
server: shinyapps.io
hostUrl: https://api.shinyapps.io/v1
appId: 2811298
bundleId: 3630929
url: https://rushby.shinyapps.io/gridforecast/
when: 1600167776.24198
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