# A tibble: 2 x 8
city postcode a b country city_lat city_lon city_cog
<lgl> <lgl> <dbl> <dbl> <chr> <dbl> <dbl> <chr>
1 NA NA 1 1 France NA NA <NA>
2 NA NA 2 2 Australie NA NA <NA>
# A tibble: 2 x 8
city postcode a b country city_lat city_lon city_cog
<chr> <chr> <dbl> <dbl> <chr> <dbl> <dbl> <chr>
1 Nantes 44000 1 1 France 47.2 -1.55 44109
2 Saint-Brieuc 22000 2 2 France 48.5 -2.76 22278
# A tibble: 2 x 10
city postcode a b country city_lat city_lon city_cog proposition_city
<chr> <chr> <dbl> <dbl> <chr> <dbl> <dbl> <chr> <chr>
1 Nant~ 44000 1 1 France 47.2 -1.55 44109 <NA>
2 Sain~ 22278 2 2 France NA NA <NA> Saint-Brieuc
# ... with 1 more variable: proposition_postcode <chr>
# A tibble: 2 x 8
city postcode a b country city_lat city_lon city_cog
<chr> <chr> <dbl> <dbl> <chr> <dbl> <dbl> <chr>
1 Nantes 44000 1 1 France 47.2 -1.55 44109
2 St Brieuc 22000 2 2 France 48.5 -2.76 22278
# A tibble: 2 x 8
city postcode a b country city_lat city_lon city_cog
<chr> <chr> <dbl> <dbl> <chr> <dbl> <dbl> <chr>
1 Nantes 44000 1 1 France 47.2 -1.55 44109
2 Canberra 22000 2 2 Australie -35.3 149. <NA>
# A tibble: 3 x 8
city postcode a b country city_lat city_lon city_cog
<chr> <chr> <dbl> <dbl> <chr> <dbl> <dbl> <chr>
1 Nantes 44000 1 1 France 47.2 -1.55 44109
2 Canberra 22000 2 2 Australie -35.3 149. <NA>
3 Yamba <NA> 3 3 Australia -29.4 153. <NA>
# A tibble: 3 x 10
city postcode a b country city_lat city_lon city_cog proposition_pos~
<chr> <chr> <dbl> <dbl> <chr> <dbl> <dbl> <chr> <chr>
1 Nante 44000 1 1 France NA NA <NA> 44100
2 Canb~ <NA> 2 2 Austra~ -35.3 149. <NA> <NA>
3 sidn~ 22000 2 2 Austra~ -33.9 151. <NA> <NA>
# ... with 1 more variable: proposition_city <chr>
# A tibble: 3 x 8
city postcode a b country city_lat city_lon city_cog
<chr> <chr> <dbl> <dbl> <chr> <dbl> <dbl> <chr>
1 Nantes 44000 1 1 France NA NA <NA>
2 Canberra 22000 2 2 Australie -35.3 149. <NA>
3 Yamba <NA> 3 3 Australia -29.4 153. <NA>
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