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eurostat_alueet.Rmd
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eurostat_alueet.Rmd
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---
title: "Eurostat"
output:
html_document:
theme: spacelab
runtime: shiny
---
</br>
```{r eurostat, echo=FALSE, echo=FALSE, eval=TRUE}
source("eurostat_package/firstlib.R")
source("eurostat_package/get_eurostat.R")
source("eurostat_package/getEurostatDictionary.R")
source("eurostat_package/get_eurostat_raw.R")
source("eurostat_package/getEurostatTOC.R")
source("eurostat_package/grepEurostatTOC.R")
source("eurostat_package/label_eurostat.R")
source("eurostat_package/setEurostatTOC.R")
source("eurostat_package/tidyr_functions.R")
# kirjastot
library(plyr)
```
## Etsi
```{r, echo=FALSE, eval=TRUE}
shinyApp(
ui = fluidPage(
inputPanel(
textInput("phrase",
label = h4("Kirjoita tähän englanniksi kiinnostava hakutermi"),
value = "NUTS"),
radioButtons("tyyppi", h4("Valitse data/taulukko"),
c("Dataset"="dataset",
"Table"="table")),
submitButton("Päivitä!", icon("refresh"))
),
mainPanel(
tableOutput("taulukko")
)
),
server = function(input, output) {
output$taulukko <- renderTable({
tbl <- grepEurostatTOC(pattern=input$phrase, type=input$tyyppi)
tbl
})
} , options = list(height = 550)
)
```
## Tutki
```{r, echo=FALSE, eval=TRUE, fig.height=12}
shinyApp(
ui = fluidPage(
#sidebarLayout(
inputPanel(
textInput("code",
label = h4("Kopioi <code> kentän koodi tähän"),
value = "ilc_di04"),
uiOutput("ui_col1"),
sliderInput("kartta_vuosi", h4("Kartan vuosi"),
min = 1990, max = 2013, value = 2010),
radioButtons("taso", h4("Aluetaso"),
choices = list("NUTS 0" = 0,
"NUTS 1" = 1,
"NUTS 2" = 2,
"NUTS 3" = 3),
selected = 0),
checkboxGroupInput("geo_choose",
label = h4("Valitse maa"),
choices = list("Alankomaat" = "NL","Belgia" = "BE","Bulgaria" = "BG","Espanja" = "ES",
"Irlanti" = "IE","Iso-Britannia"="UK","Italia" = "IT","Itävalta" = "AT",
"Kypros" = "CY","Latvia" = "LV","Liettua" = "LT","Portugali" = "PT",
"Puola" = "PL","Ranska" = "FR","Romania" = "RO","Ruotsi" = "SE",
"Saksa" = "DE","Slovakia" = "SK","Slovenia" = "SI","Suomi" = "FI",
"Tanska" = "DK","Tšekki" = "CZ","Unkari" = "HU","Viro" = "EE"),
selected = c("AT","BE","BG","CY","CZ","DE","DK",
"EE","FI","HU","IE","IT",
"LT","LV","NL","PL","RO","SE",
"SI","SK","UK"), inline=TRUE),
submitButton("Päivitä!", icon("refresh"))
),
tabsetPanel(
tabPanel("Raakadatan eka rivit", tableOutput("raaka")),
tabPanel("Aikasarjadata", tableOutput("taulukko")),
tabPanel("Aikasarjakuvio", plotOutput("kuvio", width="100%", height="800")),
tabPanel("Kartan data", tableOutput("kartta_data")),
tabPanel("Kartta", plotOutput("kartta", width="100%", height="800"))
)
#)
),
server = function(input, output) {
dataInput <- reactive({
tbl_raw <- get_eurostat(id=input$code)
tbl <- label_eurostat(tbl_raw)
tbl$geo_code <- tbl_raw$geo
tbl$time <- as.factor(tbl$time)
tbl$time <- as.numeric(levels(tbl$time))[tbl$time]
tbl <- tbl[!is.na(tbl$value),]
tbl
})
dataInputKartta <- reactive({
load("data/map.df.nuts.rda")
map.df <- map.df
map.df
})
dataInputKarttaMaa <- reactive({
load("data/map.df.rda")
map.df.maa <- map.df
map.df.maa
})
#if (input$ncolumns >= 4) {
output$ui_col1 <- renderUI({
tbl <- dataInput()
# levels
levelit1 <- levels(tbl[[1]])
levelit2 <- levels(tbl[[2]])
levelit3 <- levels(tbl[[3]])
if (ncol(tbl) >= 4) levelit4 <- levels(tbl[[4]])
if (ncol(tbl) >= 5) levelit5 <- levels(tbl[[5]])
# ncols <- ncol(tbl[ , -which(names(tbl) %in% c("geo","time","value","geo_code"))])
ncols <- ncol(tbl) - 4
if (ncols == 0) {
ip1 <- ""
ip2 <- ""
ip3 <- ""
ip4 <- ""
ip5 <- ""
}
if (ncols == 1) {
ip1 <- selectInput("col1", h5("Valitse luokka 1"),choices = levelit1)
ip2 <- ""
ip3 <- ""
ip4 <- ""
ip5 <- ""
}
if (ncols == 2) {
ip1 <- selectInput("col1", h5("Valitse luokka 1"),choices = levelit1)
ip2 <- selectInput("col2", h5("Valitse luokka 2"),choices = levelit2)
ip3 <- ""
ip4 <- ""
ip5 <- ""
}
if (ncols == 3) {
ip1 <- selectInput("col1", h5("Valitse luokka 1"),choices = levelit1)
ip2 <- selectInput("col2", h5("Valitse luokka 2"),choices = levelit2)
ip3 <- selectInput("col3", h5("Valitse luokka 3"),choices = levelit3)
ip4 <- ""
ip5 <- ""
}
if (ncols == 4) {
ip1 <- selectInput("col1", h5("Valitse luokka 1"),choices = levelit1)
ip2 <- selectInput("col2", h5("Valitse luokka 2"),choices = levelit2)
ip3 <- selectInput("col3", h5("Valitse luokka 3"),choices = levelit3)
ip4 <- selectInput("col4", h5("Valitse luokka 4"),choices = levelit4)
ip5 <- ""
}
if (ncols == 5) {
ip1 <- selectInput("col1", h5("Valitse luokka 1"),choices = levelit1)
ip2 <- selectInput("col2", h5("Valitse luokka 2"),choices = levelit2)
ip3 <- selectInput("col3", h5("Valitse luokka 3"),choices = levelit3)
ip4 <- selectInput("col4", h5("Valitse luokka 4"),choices = levelit4)
ip5 <- selectInput("col5", h5("Valitse luokka 5"),choices = levelit5)
}
list(ip1,ip2,ip3,ip4,ip5)
})
manipulate_data <- function(x) {
tbl <- x
#ncols <- ncol(tbl[ , -which(names(tbl) %in% c("geo","time","value","geo_code"))])
ncols <- ncol(tbl) - 4
if (ncols == 1) {
tbl <- tbl[tbl[1] == input$col1,]
}
if (ncols == 2) {
tbl <- tbl[tbl[1] == input$col1,]
tbl <- tbl[tbl[2] == input$col2,]
}
if (ncols == 3) {
tbl <- tbl[tbl[1] == input$col1,]
tbl <- tbl[tbl[2] == input$col2,]
tbl <- tbl[tbl[3] == input$col3,]
}
if (ncols == 4) {
tbl <- tbl[tbl[1] == input$col1,]
tbl <- tbl[tbl[2] == input$col2,]
tbl <- tbl[tbl[3] == input$col3,]
tbl <- tbl[tbl[4] == input$col4,]
}
# valitaan maat
tbl$geo_ss <- substr(tbl$geo_code, 1,2)
tbl <- tbl[tbl$geo_ss %in% input$geo_choose ,] #
# aluetaso
tbl <- tbl[nchar(as.character(tbl$geo_code)) == as.numeric(input$taso)+2, ]
tbl
}
output$kuvio <- renderPlot({
tbl <- dataInput()
tbl <- manipulate_data(tbl)
library(ggplot2)
ggplot(tbl, aes(x=time,y=value,
color=geo_ss,group=geo)) +
geom_point() +
geom_line() +
theme(legend.position="none") +
geom_text(data=merge(tbl, aggregate(time ~ geo, tbl, max),
by=c("time","geo")),
aes(x=time, y = value, label=geo), hjust=-0.5,vjust=-1,size=4) +
coord_cartesian(xlim=c(min(tbl$time)-1,max(tbl$time)+5)) +
theme_minimal()
})
output$kartta <- renderPlot({
tbl <- dataInput()
map.df <- dataInputKartta()
tbl <- manipulate_data(tbl)
# kartan vuosi
tbl <- tbl[tbl$time == input$kartta_vuosi, ] #input$kartta_vuosi
# subset karttadata
map.df <- map.df[map.df$STAT_LEVL_ == as.numeric(input$taso), ]
# yhdistä data karttaan
dat <- merge(map.df,tbl,by.x="NUTS_ID",by.y="geo_code", all.y=TRUE)
dat <- dat[order(dat$order), ]
# plotataan maat harmaalla
map.df.maa <- dataInputKarttaMaa()
map.df.maa <- map.df.maa[map.df.maa$CNTR_ID %in% input$geo_choose, ]
#mean_in_data <- mean(dat$value, na.rm = TRUE)
library(ggplot2)
library(mapproj)
ggplot(data=dat,
aes(long,lat,group=group)) +
geom_polygon(data=map.df.maa, aes(long,lat,group=group),fill="grey90",color="white",size=.2) +
geom_polygon(aes(fill = value),colour="white",size=.2) +
theme_minimal() +
theme(axis.title = element_blank()) +
coord_map(project="orthographic")
})
output$kartta_data <- renderTable({
tbl <- dataInput()
tbl <- manipulate_data(tbl)
tbl <- tbl[tbl$time == input$kartta_vuosi, ] #input$kartta_vuosi
tbl
})
output$taulukko <- renderTable({
tbl <- dataInput()
tbl <- manipulate_data(tbl)
tbl
})
output$raaka <- renderTable({
tbl <- dataInput()
head(tbl,50)
})
},
options = list(height = 1500))
```