How to use or transform product availability logs?

I have product availability logs which contain date, new / old value (as below)

.

I would like to use them in the analysis, checking whether the product was available or not on a given day.

I was thinking about transforming the log table into a table containing each day and a value of 0/1 based on the logs. How can I do that easily?

Can it be done with measures in DAX?

I can use Power BI, Power Query, SQL or r / python if it would be more convenient

Thanks for any suggestions

the solution works, thank you @David.

Nevertheless, I have used R language because it took a long time in PQ (tens of millions of rows to generate).

Code in R

    df <- df %>%
  rowwise() %>%
  transmute(col1,
            col2,
            date = list(seq(date1, date2, by = "day")),
  ) %>%