Crédits et Dépôts en régions - CEFIT
Données - BDF
Info
Structure
Crédits à l’habitat par département (encours)
Paris, Rhône, Nord, Bouches-du-Rhône
Code
CEFIT %>%
filter(variable %in% c("CEFIT.M.FR.N.R.A22.A.1.Z5.2000.EUR.E.D75",
"CEFIT.M.FR.N.R.A22.A.1.Z5.2000.EUR.E.D69",
"CEFIT.M.FR.N.R.A22.A.1.Z5.2000.EUR.E.D59",
"CEFIT.M.FR.N.R.A22.A.1.Z5.2000.EUR.E.D13")) %>%
mutate(Departement = case_when(DETAIL_AREA == "D75" ~ "Paris",
DETAIL_AREA == "D69" ~ "Rhône",
DETAIL_AREA == "D59" ~ "Nord",
DETAIL_AREA == "D13" ~ "Bouches-du-Rhône"),
value = value/1e6) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = Departement)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = "1 year",
labels = date_format("%Y")) +
scale_y_continuous(labels = dollar_format(accuracy = 1, prefix = "", suffix = " Mds€")) +
theme(legend.position = c(0.2, 0.8),
legend.title = element_blank(),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))
Dernier mois disponible
Code
CEFIT %>%
filter(variable %in% c("CEFIT.M.FR.N.R.A22.A.1.Z5.2000.EUR.E.D75",
"CEFIT.M.FR.N.R.A22.A.1.Z5.2000.EUR.E.D69",
"CEFIT.M.FR.N.R.A22.A.1.Z5.2000.EUR.E.D59",
"CEFIT.M.FR.N.R.A22.A.1.Z5.2000.EUR.E.D13")) %>%
filter(!is.na(value)) %>%
mutate(Departement = case_when(DETAIL_AREA == "D75" ~ "Paris",
DETAIL_AREA == "D69" ~ "Rhône",
DETAIL_AREA == "D59" ~ "Nord",
DETAIL_AREA == "D13" ~ "Bouches-du-Rhône"),
value = value/1e6) %>%
group_by(Departement) %>%
filter(date == max(date)) %>%
ungroup() %>%
select(Departement, date, "Mds€" = value) %>%
arrange(desc(`Mds€`)) %>%
print_table_conditional()| Departement | date | Mds€ |
|---|---|---|
| Paris | 2018-03-31 | 97.43651 |
| Nord | 2018-03-31 | 38.36874 |
| Rhône | 2018-03-31 | 37.40227 |
| Bouches-du-Rhône | 2018-03-31 | 34.49571 |
Crédits et dépôts, France entière (encours)
Ensemble des crédits vs dépôts
Code
CEFIT %>%
filter(variable %in% c("CEFIT.M.FR.N.R.A20.A.1.Z5.2000.EUR.E.N01",
"CEFIT.M.FR.N.R.L20.A.1.Z5.2000.EUR.E.N01")) %>%
mutate(Serie = ifelse(BS_ITEM == "A20", "Crédits", "Dépôts"),
value = value/1e6) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = Serie)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = "1 year",
labels = date_format("%Y")) +
scale_y_continuous(labels = dollar_format(accuracy = 1, prefix = "", suffix = " Mds€")) +
theme(legend.position = c(0.2, 0.85),
legend.title = element_blank(),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))