relig_income #>#Atibble:18×11#>religion`<$10k``$10-20k``$20-30k``$30-40k``$40-50k``$50-75k`#><chr><dbl><dbl><dbl><dbl><dbl><dbl>#>1Agnostic2734608176137#>2Atheist122737523570#>3Buddhist272130343358#>4Catholic4186177326706381116#>5Don’t know/r…151415111035#>6Evangelical …57586910...
1. Aggregating values: Sometimes, the wide-format data being transformed may contain multiple values within a single cell. In such cases, we can use an aggregator function, such as `tidyr::separate_rows()`, within `pivot_longer` to split the values into separate rows. 2. Handling missing...
## <int> <chr> <dbl> ## 1 1 A 0.7 ## 2 1 B 0.5 ## 3 1 C 0.3 ## 4 1 D 0.4 ## 5 2 A 1 ## 6 2 B 0.7 ## 7 2 C 0.6 ## 8 2 D 0.7 ## 9 3 A 1.5 ## 10 3 B 0.9 ## 11 3 C 1 ## 12 3 D 1.2 ## 13 4 A 1.8 ## 14 4 B 1.3 ## 15 4 C 1.2...