Code
%>%
H6 group_by(SERIES_NAME, CURRENCY, UNIT) %>%
summarise(Nobs = n()) %>%
left_join(H6_var$CURRENCY %>% rename(CURRENCY = id), by = "CURRENCY") %>%
select(-description.default) %>%
arrange(-Nobs) %>%
print_table_conditional()
Data - FRB
%>%
H6 group_by(SERIES_NAME, CURRENCY, UNIT) %>%
summarise(Nobs = n()) %>%
left_join(H6_var$CURRENCY %>% rename(CURRENCY = id), by = "CURRENCY") %>%
select(-description.default) %>%
arrange(-Nobs) %>%
print_table_conditional()
%>%
H6_struct_concepts if (is_html_output()) print_table(.) else .} {
id | Name.default |
---|---|
FREQ | Frequency |
OBS_STATUS | Observation status |
SERIES_NAME | Series Name |
OBS_VALUE | Observation value |
UNIT | Units |
ADJUSTED | Seasonal Adjustment |
CURRENCY | Currency |
UNIT_MULT | Unit multiplier |
TIME_PERIOD | Time |
$UNIT_MULT %>%
H6_varprint_table_conditional()
id | label.default | description.default |
---|---|---|
.01 | Hundredths | Hundredths |
.1 | Tenths | Tenths |
1 | One | One |
1000 | Thousands | Thousands |
1000000 | Millions | Millions |
100000000 | Hundred millions | Hundred millions |
1000000000 | Billions | Billions |
1000000000000 | Trillions | Trillions |
1000000000000000 | Quadrillions | Quadrillions |
%>%
H6 group_by(CURRENCY) %>%
summarise(Nobs = n()) %>%
left_join(H6_var$CURRENCY %>% rename(CURRENCY = id), by = "CURRENCY") %>%
select(-description.default) %>%
print_table_conditional()
CURRENCY | Nobs | label.default |
---|---|---|
USD | 44354 | United States / United States Dollar |
%>%
H6 filter(SERIES_NAME == "M1.WM") %>%
arrange(TIME_PERIOD) %>%
ggplot() + geom_line(aes(x = TIME_PERIOD, y = OBS_VALUE)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_log10()