# pakker
devtools::load_all()
# hent gjeldsdata
df_gjeld <- hent_tabell(
tabell = "10706",
Sektor = "Households",
Motsektor = "Sum all sectors",
Tid = all(),
ContentsCode = "Stocks",
Finanspost = "Sum liabilities (G)"
) %>%
select(date, item, value) %>%
tidyr::pivot_wider(values_from = value, names_from = item) %>%
janitor::clean_names() %>%
arrange(date) %>%
mutate(gjeldsvekst = sum_liabilities_g / lag(sum_liabilities_g) - 1)
# hent disponibel inntekt
transactions <- c("- Consumption",
"= DISPOSABLE INCOME",
"= SAVING")
df_innt <- hent_tabell(
tabell = "11020",
Tid = all(),
Sektor = "Households",
Transaksjoner = transactions,
ContentsCode = "Revenue and expenditure. Unadjusted figures (NOK million)"
) %>%
select(date, transaction, value) %>%
tidyr::pivot_wider(values_from = value, names_from = transaction) %>%
janitor::clean_names()
# join data
df <- df_gjeld %>%
left_join(df_innt, by = "date") %>%
rename(total_gjeld = sum_liabilities_g) %>%
mutate(gjeldsrate = total_gjeld / disposable_income)
df %>%
ggplot(aes(x = date, y = gjeldsrate)) +
geom_line()
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