I have a data set of the percentage of the population covered by 4G mobile network, for a number of years, the data looks like this:
## # A tibble: 196 × 10
## # Groups: Country [196]
## Country `2012` `2013` `2014` `2015` `2016` `2017` `2018` `2019` `2020`
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 Afghanistan 0 0 0 0 0 4 7 22 26
## 2 Albania 0 0 0 35 80.2 85.3 85.5 95 98.4
## 3 Algeria 0 0 0 0 3.62 30.5 52.8 53.6 76.2
## 4 Andorra 50 50 50 50 50 85 85 85 85
## 5 Angola 7 7 7 7 8 8 8 18 30
## 6 Antigua and B… 65 78.6 80 98 99 99 99 99 99
## 7 Argentina 0 0 0 65 85 85 90.8 91.2 97.7
## 8 Armenia 17.5 44 46 46.5 52.5 90.0 99.1 99.3 100
## 9 Australia 52.2 85 95 94 98 99 99.2 99.4 99.5
## 10 Austria 31.6 58.4 85 98 98 98 98 98 98
## # … with 186 more rows
I need to make forecasts for up until 2030 for each country, how can I do that while restraining the results to be between 0 and 100?
