Created
May 26, 2018 19:32
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Task 7
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shinyServer(function(input, output, session) { | |
tmpData <- reactive({ | |
modFlights %>% | |
filter(name %in% input$carrierName) | |
}) | |
output$delayRange <- renderUI({ | |
max_delay <- max(tmpData()$dep_delay) | |
sliderInput('delayFlightRange', | |
label = "Choose delay range (minutes):", | |
min = 0, max = max_delay, | |
value = c(0, max_delay), step = 10) | |
}) | |
dayFilteredData <- reactive({ | |
tmpData() %>% | |
group_by(name, hour) %>% | |
summarise(delayed_flight_perc = sum(dep_delay > input$delayFlightRange[1] & dep_delay < input$delayFlightRange[2] & distance > input$distance_val) / | |
sum(distance > input$distance_val)) | |
}) | |
output$ddelay_plot <- renderPlot({ | |
ggplot(dayFilteredData(), aes(hour, delayed_flight_perc, fill = name)) + | |
geom_col(position = 'dodge') + | |
theme_hc(base_size = 18) + | |
scale_fill_hc() + | |
xlab("Departure hour") + | |
ylab("Percentage of delayed flights") + | |
scale_y_continuous(labels = scales::percent) + | |
scale_x_continuous(limits = c(0,24), breaks = seq(0, 24, 2)) + | |
guides(fill=guide_legend(title="")) | |
}) | |
output$table <- renderTable({ | |
dayFilteredData() %>% | |
mutate( | |
delayed_flight_perc = scales::percent(delayed_flight_perc) | |
) %>% | |
rename( | |
"Airline" = name, | |
"Departure hour" = hour, | |
"Percentage of delayed flights" = delayed_flight_perc | |
) | |
}) | |
}) |
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