## 8.7 Exercise 2.1: Scraping (many) tables

1. For your project you would like to know how the average population has increased in Switzerland. Search for data and plot it.
2. Try to produce the plot shown below.
## 'data.frame':    118 obs. of  9 variables:
##  $time : chr "1900" "1901" "1902" "1903" ... ##$ avpopulation               : chr  "3,300" "3,341" "3,384" "3,428" ...
##  $Live births : chr "94,316" "97,028" "96,480" "93,824" ... ##$ Deaths                     : chr  "63,606" "60,018" "57,702" "59,626" ...
##  $Natural change : chr "30,710" "37,010" "38,778" "34,198" ... ##$ Crude birth rate (per 1000): num  28.6 29 28.5 27.4 27.3 26.9 26.9 26.2 26.4 25.5 ...
##  $Crude death rate (per 1000): num 19.3 18 17.1 17.4 17.5 17.6 16.6 16.4 15.8 16.1 ... ##$ Natural change (per 1000)  : num  9.3 11.1 11.5 10 9.8 9.3 10.2 9.8 10.6 9.4 ...
##  \$ Fertility rates            : num  NA NA NA NA NA NA NA NA NA NA ...

Q: What kind of evolution is that? What happened at the time of the bumps?