#
# This is the user-interface definition of a Shiny web application. You can
# run the application by clicking 'Run App' above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
library(shiny)
library(shinythemes)
library(rmarkdown)
library(ggplot2)
library(plyr)
library(dplyr)
library(dtplyr)
library(DT)
library(magrittr)
library(data.table)
library(plotly)
library(rdrop2)
# token <- readRDS("token.rds")
# # Then pass the token to each drop_ function
# drop_acc(dtoken = token)
# drop_download("data_InternalFAO_jan.RData" , path = "shiny", overwrite = TRUE)
load("Data_In.RData")
# Define UI for application that draws a histogram
shinyUI(fluidPage(theme = shinytheme("lumen"),
sidebarLayout(
sidebarPanel(
#Input()
sliderInput(
inputId = "Year",
label = "Year Range",
value = c(2005,maxYear),step =1,sep = "", min = as.integer(min(selectedYear)), max = as.integer(max(selectedYear))
),
# textInput(inputId ="min_ax",
# label = "min Y-Axis",
# value = "Enter decimal"),
# textInput(inputId ="max_ax",
# label = "max Y-Axis",
# value = "Enter decimal"),
selectInput(
inputId = "aggregation",
label = "Aggregation",
choices = c("WORLD",opt2),
selected = "All"
),
selectInput(
inputId = "Agg_options",
label = "Aggregation Options",
choices = NULL,
selected = NULL,
multiple = FALSE,
selectize=TRUE
),
selectInput(
inputId = "Country",
label = "Country",
choices = NULL, selected =NULL, multiple=TRUE, selectize=TRUE
),
selectInput(
inputId = "Model_Level",
label = "Model level",
choices = c("Input Data"),
selected = "Input Data",
multiple = FALSE,
selectize=TRUE
),
conditionalPanel(
# condition = "input.Model_Level == 'SDG-Food Loss Percentage'",
"SDG Related",
selectInput(
inputId = "WeightsChoice",
label = "Weights",
choices = c("International Dollar Prices (2015)","Calories"),
selected ="International Dollar Prices (2015)"
),
selectInput(
inputId = "BasketChoice",
label = "Commoditiy Aggregation",
choices = c('Production Value- Top 10 by country (Default SDG)','Production Value- Top 10 by World'),
selected ='Production Value- Top 10 by country'
)),
conditionalPanel(
condition = "input.Model_Level != 'SDG-Food Loss Percentage'",
"Estimates Related",
checkboxInput("checkbox", label = "Only Top 10 SDG Baskets", value = FALSE),
checkboxInput("checkboxofficial", label = "Official Data Only", value = FALSE),
checkboxInput("checkboxflags", label = "Show Flags", value = FALSE),
checkboxInput("checkboxstage", label = "By Stage of Value Chain", value = FALSE),
#checkboxInput("checkbox_input", label = "Add Input Data", value = FALSE),
#checkboxInput("checkbox_Markovs", label = "Add Input Data- Aggregated", value = FALSE),
selectInput(
inputId = "BasketItems",
label = "Basket Items",
choices = c("All",na.omit(unique(gfli_basket[,"gfli_basket",with=FALSE]))),
selected = "All"
),
selectInput(
inputId = "itemcpc",
label = "measureditemcpc",
choices = NULL, selected ="All", multiple=TRUE, selectize=TRUE
),
conditionalPanel(
condition = "input.Model_Level == 'Input Data'",
selectInput(
inputId = "Stage",
label = "Value Chain Stage(s)",
choices = c("All",dataStages), selected ="All", multiple=TRUE, selectize=TRUE
),
selectInput(
inputId = "DataCollect",
label = "Method of Data Collection",
choices = c("All",datatags) , selected ="All", multiple=TRUE, selectize=TRUE
))),
#selectInput("dataset", "Choose a dataset for download:",
# choices = c("Index", "Weights", "Basket")),
# downloadButton("Data.csv", "Download"),
#downloadButton("SDG12_3_Plot.jpeg", "Plots")
downloadButton("FLP.xlsx", "FLP")
),
mainPanel(
tabsetPanel(
tabPanel("HeatMap",
tags$p(""),
tags$p("Food Loss Percentage"),
plotlyOutput("plot_ly_heat")
),
tabPanel("Graph",
tags$p(""),
tags$p("Food Loss Percentage"),
plotlyOutput("plot_ly")
),
navbarMenu("Data",
tabPanel("Filtered Data",
fluidPage(title = "Data Available- Filtered from the previous page",
DT::dataTableOutput("DataTab")
)
))
)
)
))
)
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