Import prices in industry - annual data - sts_inpi_a

Data - Eurostat

~/data/eurostat/

nace_r2

sts_inpi_a %>%
  left_join(nace_r2, by = "nace_r2") %>%
  group_by(nace_r2, Nace_r2) %>%
  summarise(Nobs = n()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

s_adj

sts_inpi_a %>%
  left_join(s_adj, by = "s_adj") %>%
  group_by(s_adj, S_adj) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

s_adj	S_adj	Nobs
NSA	Unadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)	187164

unit

sts_inpi_a %>%
  left_join(unit, by = "unit") %>%
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

unit	Unit	Nobs
I15	Index, 2015=100	72095
PCH_SM	Percentage change compared to same period in previous year	68903
I10	Index, 2010=100	46166

indic_bt

sts_inpi_a %>%
  left_join(indic_bt, by = "indic_bt") %>%
  group_by(indic_bt, Indic_bt) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

indic_bt	Indic_bt	Nobs
IMPR	Import price index	95966
IMPX	Import price index - non euro area	49999
IMPZ	Import price index - euro area	41199

geo

sts_inpi_a %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

time

sts_inpi_a %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Individual Countries

Switzerland

sts_inpi_a %>%
  filter(nace_r2 == "C",
         geo %in% c("CH"),
         unit == "I15") %>%
  select(geo, indic_bt, time, values) %>%
  #mutate(values = 100*values/values[time == "2000Q1"]) %>%
  left_join(indic_bt, by = "indic_bt") %>%
  time_to_date %>%
  ggplot() + ylab("") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2025, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  theme(legend.position = c(0.25, 0.25),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 1))

Netherlands

sts_inpi_a %>%
  filter(nace_r2 == "C",
         geo %in% c("NL"),
         unit == "I15") %>%
  select(geo, indic_bt, time, values) %>%
  #mutate(values = 100*values/values[time == "2000Q1"]) %>%
  left_join(indic_bt, by = "indic_bt") %>%
  time_to_date %>%
  ggplot() + ylab("") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2025, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  theme(legend.position = c(0.25, 0.25),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

France

sts_inpi_a %>%
  filter(nace_r2 == "C",
         geo %in% c("FR"),
         unit == "I15") %>%
  select(geo, indic_bt, time, values) %>%
  group_by(indic_bt) %>%
  left_join(indic_bt, by = "indic_bt") %>%
  time_to_date %>%
  ggplot() + ylab("") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2025, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  theme(legend.position = c(0.25, 0.25),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

Germany

sts_inpi_a %>%
  filter(nace_r2 == "C",
         geo %in% c("DE"),
         unit == "I15") %>%
  select(geo, indic_bt, time, values) %>%
  group_by(indic_bt) %>%
  left_join(indic_bt, by = "indic_bt") %>%
  time_to_date %>%
  ggplot() + ylab("") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2025, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))

Sweden

sts_inpi_a %>%
  filter(nace_r2 == "C",
         geo %in% c("SE"),
         unit == "I15") %>%
  select(geo, indic_bt, time, values) %>%
  group_by(indic_bt) %>%
  left_join(indic_bt, by = "indic_bt") %>%
  time_to_date %>%
  ggplot() + ylab("") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = values, color = Indic_bt)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2025, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  theme(legend.position = c(0.25, 0.85),
        legend.title = element_blank()) +
  scale_y_log10(breaks = seq(-60, 300, 10))