Hi,

I have the following data in a csv file
49893878, 54350306, 68914033, 46888379, 75506404, 
54164263, 62846960, 78304638, 63721932, 70269568, 60440103, 79784327, 
65918962, 76581629, 72016677, 47225594, 93944513, 65793666, 82709931, 
87852261, 75876270, 88715213, 65496028, 80160380, 66089429, 106857813, 
76237641, 59301581, 78705651, 66108909, 77685572, 74416530, 72618166, 
82060938, 65326366, 71710371, 70695772

I tried to do HoltWinters with seasonality with this data but keep getting
error.

First I used the following code:

time_data1<-as.ts(time_data)
HoltWinters(time_data1,gamma=TRUE)

But it  gave the following error - "Error in decompose(ts(x[1L:wind], start
= start(x), frequency = f), seasonal) : 
  time series has no or less than 2 periods"

Then I tried the following code and got the same error:-

time_data1<-as.ts(cbind(time_data,c(1:length(time_data))))
HoltWinters(time_data1,gamma=TRUE)

After that I tried the following code and got the same error:-


time_data1<-as.ts(cbind(c(1:length(time_data)),time_data))
HoltWinters(time_data1,gamma=TRUE)


I understand that there is some concept called frequency which is creating
the problem, but can anyone help me on this please? I really need it urgent.
All my values corresponds to one single time point.

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