Prestations sociales - prestations-sociales

Données - IPP

Auteur

François Geerolf

Liste

Code 
i_g("bib/ipp/prestations-sociales.png")

RMI

Table

Code 
rmi_m %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

All

Code 
rmi_m |>
  mutate(date = as.Date(date)) |>
  select(date, montant_base_rmi) |>
  gather(variable, value, -date) |>
  mutate(value = ifelse(value >= 2000, value/6.55957, value)) |>
  group_by(variable) |>
  complete(date = seq.Date(min(date), max(date), by = "day")) |>
  fill(value) |>
  ggplot() + geom_line(aes(x = date, y = value)) +
  scale_color_manual(values = viridis(8)[1:7]) +
  theme_minimal() +
  scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.8),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(300, 700, 10),
                     labels = dollar_format(accuracy = 1, suffix = " €", prefix = "")) + 
  ylab("Montant du RMI en euros") + xlab("")

RSA

Table

Code 
rsa_m %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

All

Code 
rsa_m |>
  mutate(date = as.Date(date)) |>
  select(date, montant_base_rsa) |>
  gather(variable, value, -date) |>
  mutate(value = ifelse(value >= 2000, value/6.55957, value)) |>
  group_by(variable) |>
  complete(date = seq.Date(min(date), max(date), by = "day")) |>
  fill(value) |>
  ggplot() + geom_line(aes(x = date, y = value)) +
  scale_color_manual(values = viridis(8)[1:7]) +
  theme_minimal() +
  scale_x_date(breaks = seq(1920, 2100, 1) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.8),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(300, 700, 10),
                     labels = dollar_format(accuracy = 1, suffix = " €", prefix = "")) + 
  ylab("Montant du RSA en euros") + xlab("")

RMI / RSA

All

Valeur

Code 
rmi_m |>
  select(date, montant_base_rmi) |>
  gather(variable, value, -date) |>
  bind_rows(rsa_m |>
  select(date, montant_base_rsa) |>
  gather(variable, value, -date)) |>
  mutate(date = as.Date(date)) |>
  filter(!is.na(value)) |>
  mutate(value = ifelse(value >= 2000, value/6.55957, value)) |>
  group_by(variable) |>
  complete(date = seq.Date(min(date), max(date), by = "day")) |>
  fill(value) |>
  mutate(Variable = ifelse(variable == "montant_base_rmi", "RMI (avant le 1er juin 2009)",
                           "RSA (après le 1er juin 2009)")) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  theme_minimal() +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.8),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(300, 700, 10),
                     labels = dollar_format(accuracy = 1, suffix = " €", prefix = "")) + 
  ylab("Montant du RMI / RSA en euros") + xlab("")

Base 100

Code 
rmi_m |>
  select(date, montant_base_rmi) |>
  gather(variable, value, -date) |>
  bind_rows(rsa_m |>
  select(date, montant_base_rsa) |>
  gather(variable, value, -date)) |>
  mutate(date = as.Date(date)) |>
  filter(!is.na(value)) |>
  mutate(value = ifelse(value >= 2000, value/6.55957, value)) |>
  group_by(variable) |>
  complete(date = seq.Date(min(date), max(date), by = "day")) |>
  fill(value) |>
  mutate(Variable = ifelse(variable == "montant_base_rmi", "RMI (avant le 1er juin 2009)",
                           "RSA (après le 1er juin 2009)")) |>
  ungroup() |>
  arrange(date) |>
  mutate(value = 100*value/value[1]) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  theme_minimal() +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.8),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(100, 700, 10)) + 
  ylab("Montant du RMI / RSA (100 = 1992)") + xlab("")

1992

Valeur

Code 
rmi_m |>
  select(date, montant_base_rmi) |>
  gather(variable, value, -date) |>
  bind_rows(rsa_m |>
  select(date, montant_base_rsa) |>
  gather(variable, value, -date)) |>
  filter(!is.na(value)) |>
  mutate(value = ifelse(value >= 2000, value/6.55957, value)) |>
  group_by(variable) |>
  complete(date = seq.Date(min(date), max(date), by = "day")) |>
  fill(value) |>
  mutate(Variable = ifelse(variable == "montant_base_rmi", "RMI (avant le 1er juin 2009)",
                           "RSA (après le 1er juin 2009)")) |>
  filter(date >= as.Date("1992-01-01")) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  theme_minimal() +
  scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.8),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(300, 700, 10),
                     labels = dollar_format(accuracy = 1, suffix = " €", prefix = "")) + 
  ylab("Montant du RMI / RSA en euros") + xlab("")

Base 100

Code 
rmi_m |>
  select(date, montant_base_rmi) |>
  gather(variable, value, -date) |>
  bind_rows(rsa_m |>
  select(date, montant_base_rsa) |>
  gather(variable, value, -date)) |>
  filter(!is.na(value)) |>
  mutate(value = ifelse(value >= 2000, value/6.55957, value)) |>
  group_by(variable) |>
  complete(date = seq.Date(min(date), max(date), by = "day")) |>
  fill(value) |>
  mutate(Variable = ifelse(variable == "montant_base_rmi", "RMI (avant le 1er juin 2009)",
                           "RSA (après le 1er juin 2009)")) |>
  filter(date >= as.Date("1992-01-01")) |>
  ungroup() |>
  arrange(date) |>
  mutate(value = 100*value/value[1]) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  theme_minimal() +
  scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.8),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(100, 700, 10)) + 
  ylab("Montant du RMI / RSA (100 = 1992)") + xlab("")

1996

Valeur

Code 
rmi_m |>
  select(date, montant_base_rmi) |>
  gather(variable, value, -date) |>
  bind_rows(rsa_m |>
  select(date, montant_base_rsa) |>
  gather(variable, value, -date)) |>
  filter(!is.na(value)) |>
  mutate(value = ifelse(value >= 2000, value/6.55957, value)) |>
  group_by(variable) |>
  complete(date = seq.Date(min(date), max(date), by = "day")) |>
  fill(value) |>
  mutate(Variable = ifelse(variable == "montant_base_rmi", "RMI (avant le 1er juin 2009)",
                           "RSA (après le 1er juin 2009)")) |>
  filter(date >= as.Date("1996-01-01")) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  theme_minimal() +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.8),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(300, 700, 10),
                     labels = dollar_format(accuracy = 1, suffix = " €", prefix = "")) + 
  ylab("Montant du RMI / RSA en euros") + xlab("")

Base 100 (+53%)

Code 
rmi_m |>
  select(date, montant_base_rmi) |>
  gather(variable, value, -date) |>
  bind_rows(rsa_m |>
  select(date, montant_base_rsa) |>
  gather(variable, value, -date)) |>
  filter(!is.na(value)) |>
  mutate(value = ifelse(value >= 2000, value/6.55957, value)) |>
  group_by(variable) |>
  complete(date = seq.Date(min(date), max(date), by = "day")) |>
  fill(value) |>
  mutate(Variable = ifelse(variable == "montant_base_rmi", "RMI (avant le 1er juin 2009)",
                           "RSA (après le 1er juin 2009)")) |>
  filter(date >= as.Date("1996-01-01")) |>
  ungroup() |>
  arrange(date) |>
  mutate(value = 100*value/value[1]) |>
  ggplot() + geom_line(aes(x = date, y = value, color = Variable)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  theme_minimal() +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.3, 0.8),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(100, 700, 10)) + 
  ylab("Montant du RMI / RSA (100 = 1996)") + xlab("")