Rectangling data: applications

chars |>
  unnest_wider(json)

## # A tibble: 30 × 18
##    url           id name  gender culture born  died  alive titles aliases father
##    <chr>      <int> <chr> <chr>  <chr>   <chr> <chr> <lgl> <list> <list>  <chr> 
##  1 https://w…  1022 Theo… Male   "Ironb… "In … ""    TRUE  <chr>  <chr>   ""    
##  2 https://w…  1052 Tyri… Male   ""      "In … ""    TRUE  <chr>  <chr>   ""    
##  3 https://w…  1074 Vict… Male   "Ironb… "In … ""    TRUE  <chr>  <chr>   ""    
##  4 https://w…  1109 Will  Male   ""      ""    "In … FALSE <chr>  <chr>   ""    
##  5 https://w…  1166 Areo… Male   "Norvo… "In … ""    TRUE  <chr>  <chr>   ""    
##  6 https://w…  1267 Chett Male   ""      "At … "In … FALSE <chr>  <chr>   ""    
##  7 https://w…  1295 Cres… Male   ""      "In … "In … FALSE <chr>  <chr>   ""    
##  8 https://w…   130 Aria… Female "Dorni… "In … ""    TRUE  <chr>  <chr>   ""    
##  9 https://w…  1303 Daen… Female "Valyr… "In … ""    TRUE  <chr>  <chr>   ""    
## 10 https://w…  1319 Davo… Male   "Weste… "In … ""    TRUE  <chr>  <chr>   ""    
## # ℹ 20 more rows
## # ℹ 7 more variables: mother <chr>, spouse <chr>, allegiances <list>,
## #   books <list>, povBooks <list>, tvSeries <list>, playedBy <list>