Data Conversion to Time Series in R I am having Sales data of 2018 and 19. I need to convert to time series. The data is not having daily sales

View(df)

Sales          Date 

75606         11/01/18

95620         16/01/18

55666         21/01/18

56270         29/01/18

45600         11/02/18

65620         18/02/18

50660         26/02/18

76200         10/03/18

75606         20/03/18

95620         27/03/18

55666         28/03/18

56270         29/03/18

45600         17/04/18

65620         24/04/18

50660         02/05/18

76200         16/05/18

And so on till 2019 Dec

Here the problem is if I convert to time series by using following code

tsn &lt;- ts(df[,1], start =c(2018, 1), frequency=12) 

It's considering only 1st 12 rows
The output will be having 1st 12 values

So how to convert the whole data into time series. Should I aggregate monthly wise and convert that into time series or is there any way to do.
This is an example of multi-parallel-time-series.

Example shared on github MultiParallelTimeSeries, believe that will be helpful.