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 |
H6_var$UNIT_MULT %>%
print_table_conditional()| id | label.default | description.default |
|---|---|---|
| .01 | Hundredths | Hundredths |
| .1 | Tenths | Tenths |
| 1 | One | One |
| 1000 | Thousands | Thousands |
| 1000000 | Millions | Millions |
| 100000000 | Hundred millions | Hundred millions |
| 1000000000 | Billions | Billions |
| 1000000000000 | Trillions | Trillions |
| 1000000000000000 | Quadrillions | Quadrillions |
H6 %>%
group_by(CURRENCY) %>%
summarise(Nobs = n()) %>%
left_join(H6_var$CURRENCY %>% rename(CURRENCY = id), by = "CURRENCY") %>%
select(-description.default) %>%
print_table_conditional()| CURRENCY | Nobs | label.default |
|---|---|---|
| USD | 44482 | 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()