~/data/bis/

Info

LAST_DOWNLOAD

LAST_DOWNLOAD
2022-11-03

LAST_COMPILE

LAST_COMPILE
2022-11-03

Last

Monthly

date Nobs
2022-09-01 76

Annual

date Nobs
2021-01-01 120

REF_AREA

LONG_CPI %>%
  left_join(REF_AREA, by = "REF_AREA") %>%
  group_by(REF_AREA, Ref_area) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Ref_area)),
         Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

FREQ

LONG_CPI %>%
  left_join(FREQ, by = "FREQ") %>%
  group_by(FREQ, Freq) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
FREQ Freq Nobs
M Monthly 88186
A Annual 8850

Year-on-year changes

United Kingdom

All

LONG_CPI %>%
  filter(REF_AREA %in% c("GB"),
         UNIT_MEASURE == 771,
         FREQ == "A") %>%
  year_to_date %>%
  ggplot(.) + geom_line() + theme_minimal() + 
  aes(x = date, y = OBS_VALUE/100) + xlab("") + ylab("Inflation") +
  scale_x_date(breaks = seq(1600, 2020, 50) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 200, 5),
                     labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed", color = "grey")

1952-

LONG_CPI %>%
  filter(FREQ == "A") %>%
  year_to_date %>%
  filter(REF_AREA %in% c("GB"),
         date >= as.Date("1952-01-01"),
         UNIT_MEASURE == 771) %>%
  ggplot(.) + geom_line() + theme_minimal() + 
  aes(x = date, y = OBS_VALUE/100) + xlab("") + ylab("Inflation") +
  scale_x_date(breaks = seq(1900, 2020, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = 0.01*seq(-10, 200, 2),
                     labels = percent_format(a = 1)) + 
  geom_hline(yintercept = 0, linetype = "dashed", color = "grey")