France, Portrait Social 2022

Data - INSEE

Author

variable

Code

FPORSOC22 %>%
  group_by(variable) %>%
  summarise(Nobs = n()) %>%
  print_table_conditional()

variable	Nobs
RDB	62
RDB_arbitrable	62
RDB_arbitrable_evolution	62
RDB_evolution	62

sheet

Code

FPORSOC22 %>%
  group_by(sheet) %>%
  summarise(Nobs = n()) %>%
  print_table_conditional()

sheet	Nobs
Figure 3	248

year

Code

FPORSOC22 %>%
  group_by(year) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(year)) %>%
  print_table_conditional()

Base 100

Original

Code

i_g("bib/insee/FPORSOC22/F29/fig3.png")

Linear

Code

plot_linear <- FPORSOC22 %>%
  filter(filename == "F29",
         sheet == "Figure 3",
         variable %in% c("RDB", "RDB_arbitrable")) %>%
  year_to_date2 %>%
  ggplot + geom_line(aes(x = date, y = value, color = variable)) +
  scale_color_manual(values = c("blue", "red")) +
  theme_minimal()  +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2100, 10), "-01-01")),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  xlab("") + ylab("Indice des prix des logements anciens") +
  scale_y_continuous(breaks = seq(0, 7000, 25))

plot_linear

Log

Code

plot_log <- plot_linear +
  scale_y_log10(breaks = seq(0, 7000, 25)) + ylab("")

Both

Code

plot_log <- plot_linear +
  scale_y_log10(breaks = seq(0, 7000, 25)) + ylab("")
ggarrange(plot_linear + ggtitle("Linear"), plot_log + ggtitle("Log"), common.legend = T)