It would be great if someone can help on how to run a time series model when a data is present in columns
Eg:
Col1 - Col 2 Col 3 Col 4
Time series name Date1 Date 2 Date 3 etc..

I have the data in columns in a monthly buckets. Also i have a total of 100+ time series and it's not easy to convert it to rows representation. Can someone advice on how to run a univariate models when a data is in this order?
Can i run all the 100+ time series in R?

Could I ask you to edit your question to give a more clear idea of the format that your data is in? I'm not sure what the data is like from your description.

Is the time series progressing from left to right or top to bottom?

Thank you! However as mentioned there are more than 100+ time series and I need to work on best univariate forecasting model on each and every one of them. Is there a way where I can do it?

You can use purrr::map() or lapply() to apply a function to each column of a data frame. If you had only a single column to work with, what would you do? If you explain that, someone can probably help you apply it to every column (or row).