Code
CPIa_var$frequency %>%
print_table_conditional| frequency | Frequency |
|---|---|
| A | Annual |
Data - statjp
CPIa_var$frequency %>%
print_table_conditional| frequency | Frequency |
|---|---|
| A | Annual |
CPIa %>%
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, 2020, 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())
CPIa %>%
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, 2020, 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())
CPIa %>%
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, 2020, 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())
CPIa %>%
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, 2020, 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())
CPIa %>%
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, 2020, 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())