Valeurs Foncières 2017 - valeursfoncieres-2017

Data

• Demande de Valeur Foncière. html

Nature mutation

`valeursfoncieres-2017` |>
  group_by(`Nature mutation`) |>
  summarise(Nobs = n()) %>%
  {if (is_html_output()) print_table(.) else .}

Nature mutation	Nobs
Adjudication	14259
Echange	46198
Expropriation	11313
Vente	3016766
Vente en l'état futur d'achèvement	272962
Vente terrain à bâtir	15025

Code departement

`valeursfoncieres-2017` |>
  group_by(`Code departement`) |>
  summarise(Nobs = n()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Code postal, Commune, Code departement, Code commune

`valeursfoncieres-2017` |>
  group_by(`Code postal`, `Commune`, `Code departement`, `Code commune`) |>
  summarise(Nobs = n()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Paris 5

`valeursfoncieres-2017` |>
  filter(`Code postal` == 75005) %>%
  mutate_at(vars(11,26,28,30,39,43), funs(as.numeric(gsub(",", ".", .)))) |>
  select(9,12,16,11,26,28,30,39,43) %>%
  # select(`Code postal`, Commune, `Valeur fonciere`, `Surface Carrez du 1er lot`, `Surface Carrez du 2eme lot`) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Paris 14

`valeursfoncieres-2017` |>
  filter(`Code postal` == 75014) %>%
  mutate_at(vars(11,26,28,30,39,43), funs(as.numeric(gsub(",", ".", .)))) |>
  select(9,12,16,11,26,28,30,39,43) %>%
  # select(`Code postal`, Commune, `Valeur fonciere`, `Surface Carrez du 1er lot`, `Surface Carrez du 2eme lot`) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}