Consumer Price Index - Monthly - CPIm

Data - statjp

Author

François Geerolf

series_code, series_name

Code 
CPIm |>
  group_by(series_code, series_name) |>
  summarise(Nobs = n()) |>
  print_table_conditional()

adj

Code 
CPIm_var$adj |>
  print_table_conditional()
adj Adjustment
nadj not adjusted
sadj seasonally adjusted

Housing, All Items, Real Housing

All

Code 
CPIm |>
  filter(series_code %in% c("001", "281")) |>
  select(series_name, period, value) |>
  spread(series_name, value) |>
  mutate(`Real Housing` = 100 * `Housing` / `All items`) |>
  gather(series_name, value, -period) |>
  ggplot() + geom_line(aes(x = period, y = value, color = series_name)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 200, 5)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.7, 0.2),
        legend.title = element_blank())

1985-

Code 
CPIm |>
  filter(series_code %in% c("001", "281"),
         period >= as.Date("1985-01-01")) |>
  select(series_name, period, value) |>
  spread(series_name, value) |>
  mutate(`Real Housing` = 100 * `Housing` / `All items`) |>
  gather(series_name, value, -period) |>
  ggplot() + geom_line(aes(x = period, y = value, color = series_name)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 200, 5)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.7, 0.2),
        legend.title = element_blank())

Housing less imputed, All Items, Real Housing less imputed

All

Code 
CPIm |>
  filter(series_code %in% c("001", "740")) |>
  select(series_name, period, value) |>
  spread(series_name, value) |>
  mutate(`Real Housing, less imputed rent` = 100 * `Housing, less imputed rent` / `All items`) |>
  gather(series_name, value, -period) |>
  ggplot() + geom_line(aes(x = period, y = value, color = series_name)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 200, 5)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.7, 0.2),
        legend.title = element_blank())

1985-

Code 
CPIm |>
  filter(series_code %in% c("001", "740"),
         period >= as.Date("1985-01-01")) |>
  select(series_name, period, value) |>
  spread(series_name, value) |>
  mutate(`Real Housing, less imputed rent` = 100 * `Housing, less imputed rent` / `All items`) |>
  gather(series_name, value, -period) |>
  ggplot() + geom_line(aes(x = period, y = value, color = series_name)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 200, 5)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.7, 0.2),
        legend.title = element_blank())

Rents less imputed, All Items, Real Rents less imputed

All

Code 
CPIm |>
  filter(series_code %in% c("001", "741")) |>
  select(series_name, period, value) |>
  spread(series_name, value) |>
  mutate(`Real Rent, less imputed rent` = 100 * `Rent, less imputed rent` / `All items`) |>
  gather(series_name, value, -period) |>
  ggplot() + geom_line(aes(x = period, y = value, color = series_name)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 200, 5)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.7, 0.2),
        legend.title = element_blank())

1985-

Code 
CPIm |>
  filter(series_code %in% c("001", "741"),
         period >= as.Date("1985-01-01")) |>
  select(series_name, period, value) |>
  spread(series_name, value) |>
  mutate(`Real Rent, less imputed rent` = 100 * `Rent, less imputed rent` / `All items`) |>
  gather(series_name, value, -period) |>
  ggplot() + geom_line(aes(x = period, y = value, color = series_name)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 200, 5)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.7, 0.2),
        legend.title = element_blank())

Rents, All Items, Real Rents

All

Code 
CPIm |>
  filter(series_code %in% c("001", "282")) |>
  select(series_name, period, value) |>
  spread(series_name, value) |>
  mutate(`Real Rent` = 100 * `Rent` / `All items`) |>
  gather(series_name, value, -period) |>
  ggplot() + geom_line(aes(x = period, y = value, color = series_name)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 200, 5)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.7, 0.2),
        legend.title = element_blank())

1985-

Code 
CPIm |>
  filter(series_code %in% c("001", "282"),
         period >= as.Date("1985-01-01")) |>
  select(series_name, period, value) |>
  spread(series_name, value) |>
  mutate(`Real Rent` = 100 * `Rent` / `All items`) |>
  gather(series_name, value, -period) |>
  ggplot() + geom_line(aes(x = period, y = value, color = series_name)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 200, 5)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.7, 0.2),
        legend.title = element_blank())

Rents

All

Code 
CPIm |>
  filter(series_code %in% c("282", "740", "741")) |>
  ggplot() + geom_line(aes(x = period, y = value, color = series_name)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 200, 5)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.7, 0.2),
        legend.title = element_blank())

1985-

Code 
CPIm |>
  filter(series_code %in% c("282", "740", "741"),
         period >= as.Date("1985-01-01")) |>
  ggplot() + geom_line(aes(x = period, y = value, color = series_name)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 200, 5)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.7, 0.2),
        legend.title = element_blank())

2000-

Code 
CPIm |>
  filter(series_code %in% c("282", "740", "741"),
         period >= as.Date("2000-01-01")) |>
  ggplot() + geom_line(aes(x = period, y = value, color = series_name)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 200, 1)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.7, 0.8),
        legend.title = element_blank())