Error starting the application- no argument

Hello,
Could you please help mi find an error? When I start the application, I have a message : "ERROR: An argument is missing, and there is no default value specified".

library(shiny)
library(ggvis)
library(googleVis)
library(dplyr)
library(DT)
library(tidyr)
games=read.csv("C:/Users/****/OneDrive/do/games.csv")
games$ID <- 1:nrow(games)
games=games[!(games$Year=="N/A"),]


shinyServer(function(input, output) {
    game= reactive({
        game = games %>%
            filter(Year >= input$Year[1],
                   Year <= input$Year[2],
                   Platform == input$Platform,
                   Genre == input$Genre,
                   Publisher == input$Publisher) 
        game=as.data.frame(game)
    })

    game_tooltip <- function(x) {
        if (is.null(x)) return(NULL)
        if (is.null(x$ID)) return(NULL)
        
        data <- isolate(game())
        olymp <- games[games$ID == x$ID, ]
        
        paste0("<b>", olymp$Name, "</b><br>",
               "year: ", olymp$Year, "<br>",
               "age: ", olymp$Publisher, "<br>",
               "sport: ",olymp$Platform, "<b>")
    }
    vis <- reactive({
        
        xvar_name <- names(axis_vars)[axis_vars == input$xvar]
        yvar_name <- names(axis_vars)[axis_vars == input$yvar]
        
        xvar <- prop("x", as.symbol(input$xvar))
        yvar <- prop("y", as.symbol(input$yvar))
        
        game %>%
            ggvis(x = xvar, y = yvar) %>%
            layer_points(size := 50, size.hover := 200,
                         fill = ~Platform, key := ~ID) %>%
            add_tooltip(game_tooltip, "hover") %>%
            add_axis("x", title = xvar_name,  format="####") %>%
            add_axis("y", title = yvar_name,  format="####") %>%
            add_legend("fill", title = "Platform", values = c("PC", "PS4","PS3","X360","PSP","XOne")) %>%
            scale_nominal("fill", domain = c("PC", "PS4","PS3","X360","PSP","XOne"),
                          range = c("orange", "gray","brown","black","pink","blue")) %>%
            set_options(width = 500, height = 500)
    })
    vis %>% bind_shiny("plot1")
    
    # number of data
    output$n_gamer <- renderText({
        nrow(game())
    })
    # table
    output$table <- DT::renderDataTable({
        game()
    })

})

library(shiny)
library(ggvis)
library(dplyr)
library(DT)
actionLink <- function(inputId, ...) {
    tags$a(href='javascript:void',
           id=inputId,
           class='action-button',
           ...)
}

fluidPage(
    
    titlePanel("Games"),
    
    fluidRow(
        column(3,
               wellPanel(
                   h4("Filter"),
                   
                   sliderInput("Year", "Year released", 2000, 2016, value = c(1980, 2020), sep = ""),
                  
                   selectInput("Platform", "Platform:",c("PS","X360", "PS3",  "Wii"  ,"PS2" , "DS",   "PC",   "N64",  "PSP",  "3DS",  "GC",   "XB" ,  "GBA" , "PSV" , "NES" , "PS4", " XOne", "SNES", "2600", "WiiU", "SAT",  "GB"  
                                                          ,"NG" ,  "GEN",  "PCFX DC"   ,"3DO" , "WS"   ,"TG16", "SCD",  "GG" ) ),
                   
                   selectInput("Genre","Genre:",c("Racing", "Action" , "Shooter" ,  "Misc", "Adventure",   " Sports",       "Puzzle",       "Simulation",   "Platform",     "Role-Playing"
                                                  , "Strategy","Fighting" )),
                   
                   selectInput("Publisher","Publisher:",as.list(games["Publisher"]))
                   
                   
                   
               ),
               
               wellPanel(
                   selectInput("xvar", "X-axis variable", axis_vars, selected = "NA_Sales"),
                   
                   selectInput("yvar", "Y-axis variable", axis_vars, selected = "JP_Sales")
                   
               )
        ),
        
        mainPanel(
            
            tabsetPanel(type = "tabs",
                        
                        tabPanel("Plot", 
                                 ggvisOutput("plot1")),

                        tabPanel("Table",
                                 dataTableOutput("table")),
                     
            ),
            
            column(9,
                   
                   wellPanel(
                       span("Number of data:",
                            textOutput("n_gamer")
                       )
                   )
            )
        )
    )
)

global.R

axis_vars <- c(
  "NA_Sales" = "NA_Sales",
  "EU_Sales"="EU_Sales",
  "JP_Sales"="JP_Sales",
  "Other_Sales"="Other_Sales"
  
)