I have sales data for 2018 and 2019. I would like to convert it to time series. The data does not have 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 until 2019 December.

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

```
tsn <- ts(df[,1], start =c(2018, 1), frequency=12) 

```

It is considering only $1^{st}$ 12 rows
The output will be having $1^{st}$ 12 values

So how do I 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?