A fake base of customer support tickets
fake_base_clients(n, local = c("en_US", "fr_FR"), seed = 2811)the number of clients
the local of the base. Currently supported : "fr_FR" and "en_US".
the random seed, default is 2811
fake_base_clients(n = 10)
#> # A tibble: 10 × 14
#> num_client first last job age region id_dpt departement cb_provider
#> * <chr> <chr> <chr> <chr> <dbl> <chr> <chr> <chr> <chr>
#> 1 1 Laney Adams Inve… 85 Midi-… 65 Hautes-Pyr… JCB 16 dig…
#> 2 2 Dr. TalanZ… Auto… 18 Midi-… 81 Tarn Voyager
#> 3 3 Carlisle Cassin Ward… 83 Limou… 23 NA Voyager
#> 4 4 Jadiel FeestI… Engi… 42 NA 62 NA JCB 16 dig…
#> 5 5 Ophelia Winthe… Purc… 30 NA 68 Haut-Rhin Diners Clu…
#> 6 6 Sierra Hettin… Tran… NA Prove… 05 Hautes-Alp… JCB 16 dig…
#> 7 7 Sydnee Nitzsc… NA 50 Midi-… 81 Tarn American E…
#> 8 8 Cade Turcot… Prod… 43 Île-d… 93 Seine-Sain… NA
#> 9 9 Leeroy BeattyV Food… 40 NA 05 Hautes-Alp… Discover
#> 10 10 Ammon Dickens Acco… 36 Île-d… 93 Seine-Sain… VISA 16 di…
#> # … with 5 more variables: name <chr>, entry_date <dttm>,
#> # fidelity_points <dbl>, priority_encoded <dbl>, priority <fct>
fake_base_clients(n = 10, local = "fr_FR")
#> # A tibble: 10 × 14
#> num_client prenom nom job age region id_dpt departement gestionnaire_cb
#> * <chr> <chr> <chr> <chr> <dbl> <chr> <chr> <chr> <chr>
#> 1 1 Marine L'Ma… Tech… 85 Bourg… 71 Saône-et-L… Diners Club / …
#> 2 2 Roland Pasc… Cons… 82 Centre 18 Cher NA
#> 3 3 Danie… L'Si… Offi… 82 Langu… 34 Hérault VISA 16 digit
#> 4 4 Mathi… Ruiz… Acou… 33 Rhône… 42 Loire American Expre…
#> 5 5 Élise Nava… Tech… 81 Rhône… 42 Loire Diners Club / …
#> 6 6 Alice Cout… Cons… 69 Midi-… 12 Aveyron JCB 16 digit
#> 7 7 Noémi… Alla… Méde… NA Aquit… 24 Dordogne JCB 15 digit
#> 8 8 Benoît Guyon NA 46 Centre 18 Cher JCB 15 digit
#> 9 9 Adèle Pare… Bota… 44 NA 54 NA JCB 16 digit
#> 10 10 Phili… Bért… Arch… 18 Rhône… 42 Loire VISA 16 digit
#> # … with 5 more variables: nom_complet <chr>, entry_date <dttm>,
#> # points_fidelite <dbl>, priorite_encodee <dbl>, priorite <fct>