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app2.R
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app2.R
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library(tidyverse)
library(shiny)
library(shinydashboard)
library(lubridate)
theme_set(theme_minimal())
city <- c("NAIROBI", "MOMBASA", "MOMBASA","MOMBASA","NAIROBI")
SalesCount <- c(34, 50, 23, 70, 33)
Qualifications <- c("More than one", "One","One", "More than one","One")
Age <- c(45, 50, 43, 44, 60)
SalesDF <- data.frame(city, SalesCount, Qualifications, Age)
city <- SalesDF$city
cityCountplot <- ggplot(SalesDF, aes(city, SalesCount)) + geom_col()
cityCountplot
qualifyCountplot <- ggplot(SalesDF, aes(Qualifications, SalesCount)) + geom_col()
qualifyCountplot
ui <- fluidPage(
titlePanel("Sales Data"),
sidebarLayout(
sidebarPanel(
sidebarMenu(
sidebarSearchForm(textId = "Search", buttonId = "searchTown", label = "Search Town")
)
),
mainPanel(
tabsetPanel(
tabPanel("plot1", plotOutput("plot1")),
tabPanel("plot2", plotOutput("plot2"))
)
)
)
)
server <- function(input, output) {
filteredSales = reactive({ # Make a data frame that changes when the user chooses something
df = SalesDF %>% dplyr::filter(city == toupper(input$Search))
df
})
filteredCityCountPlot = reactive({ # Make a count plot based on the filtered data frame
df = filteredSales()
ggplot(df, aes(city, SalesCount)) + geom_col()
})
filteredQualifyCountPlot = reactive({ # Make a qualification plot based on the filtered data frame
df = filteredSales()
ggplot(df, aes(Qualifications, SalesCount)) + geom_col()
})
output$plot1 <- renderPlot({ # render the count plot with an error if there is no data
validate(
need(nrow(filteredSales()) > 0, 'Please select a city')
)
filteredCityCountPlot()
})
output$plot2 <- renderPlot({ # render the qualification plot with an error if there is no data
validate(
need(nrow(filteredSales()) > 0, 'Please select a city')
)
filteredQualifyCountPlot()
})
}
shinyApp(ui = ui, server = server)