::: {.cell hash='03_Data_preprocessing_cache/revealjs/unnamed-chunk-65_89dce32387be677712c934e4b8aad6ad'}

```{.r .cell-code}
separate(table3, 
         rate, 
         into = c("cases", "population"), 
         convert = TRUE, 
         sep="/")
```

::: {.cell-output .cell-output-stdout}
```
# A tibble: 6 × 4
  country      year  cases population
  <chr>       <dbl>  <int>      <int>
1 Afghanistan  1999    745   19987071
2 Afghanistan  2000   2666   20595360
3 Brazil       1999  37737  172006362
4 Brazil       2000  80488  174504898
5 China        1999 212258 1272915272
6 China        2000 213766 1280428583
```
:::
:::