why is it showing wrong date format in dygraph

[siddharth_sharma]

why is it showing wrong date format and I tried to aggregate the data but it did not work.

aggregate(. ~date,data=data,fun=sum)

library(shiny)
library(plotly)
library(dygraphs)
library(forecast)
library(tseries)
library(dplyr)

ui<-fluidPage(
fluidRow(dygraphOutput("forecast")))
dt1<-read.csv("C:/Users/dell/Downloads/archive (3)/daily-minimum-temperatures-in-me.csv")
  
server<-function(input,output,session){
  output$forecast <- renderDygraph({
  interval_value_formatter <- "function(num, opts, seriesName, g, row, col) {
  value = g.getValue(row, col);
  if(value[0] != value[2]) {
    lower = Dygraph.numberValueFormatter(value[0], opts);
    upper = Dygraph.numberValueFormatter(value[2], opts);
    return '[' + lower + ', ' + upper + ']';
  } else {
    return Dygraph.numberValueFormatter(num, opts);
  }
}"
  timeseies1<-ts(as.numeric(dt1$Daily.minimum.temperatures),start = c(1981,1),frequency = 12)
  
  timeseies1 %>%
  stlf(timeseies1, h = 36) %>%
  {cbind(actuals=.$x, forecast_mean=.$mean,
        lower_95=.$lower[,"95%"], upper_95=.$upper[,"95%"],
        lower_80=.$lower[,"80%"], upper_80=.$upper[,"80%"])} %>%
  dygraph(main="Date", ylab = "Daily minimum temperatures") %>%
  dyAxis("y", valueFormatter = interval_value_formatter) %>%
  dySeries("actuals", color = "black") %>%
  dySeries("forecast_mean", color = "blue", label = "forecast") %>%
  dySeries(c("lower_80", "forecast_mean", "upper_80"),
           label = "80%", color = "blue") %>%
  dySeries(c("lower_95", "forecast_mean", "upper_95"),
           label = "95%", color = "blue") %>%
  dyLegend(labelsSeparateLines=TRUE) %>%
  dyRangeSelector() %>%
  dyUnzoom() %>% 
  dyCrosshair(direction = "vertical") %>%
  dyOptions(digitsAfterDecimal = 1) %>%
  dyCSS(textConnection(".dygraph-legend {background-color: rgba(255, 255, 255, 0.5) !important; }"))
  
})
}
shinyApp(ui,server)

could any one please tell me why is it happening and how could i rectify this issue.

[nirgrahamuk]

@siddharth_sharma

t1$Daily.minimum.temperatures

we don't have your csv, so we can only guess at the contents of this variable.

Therefore, could you please add representative data to your posting to make it a reproducible example (reprex)? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…