source | dataset | .html | .RData |
---|---|---|---|
eurostat | sts_inppd_m | 2024-12-21 | 2024-12-22 |
Producer prices in industry, domestic market - monthly data
Data - Eurostat
Info
Info
Code
include_graphics("https://ec.europa.eu/eurostat/statistics-explained/images/3/33/EU%2C_EA-19_Industrial_producer_prices%2C_total%2C_domestic_and_non-domestic_market%2C_2010_-_2022%2C_undadjusted_data_%282015_%3D_100%29_01-06-2022.png")
Data on industry
source | dataset | .html | .RData |
---|---|---|---|
ec | INDUSTRY | 2024-09-15 | 2023-10-01 |
eurostat | ei_isin_m | 2024-11-23 | 2024-10-09 |
eurostat | htec_trd_group4 | 2024-11-23 | 2024-10-08 |
eurostat | nama_10_a64 | 2024-12-22 | 2024-12-22 |
eurostat | nama_10_a64_e | 2024-12-22 | 2024-12-22 |
eurostat | namq_10_a10_e | 2024-12-22 | 2024-12-22 |
eurostat | road_eqr_carmot | 2024-11-22 | 2024-10-08 |
eurostat | sts_inpp_m | 2024-06-24 | 2024-12-22 |
eurostat | sts_inppd_m | 2024-12-21 | 2024-12-22 |
eurostat | sts_inpr_m | 2024-11-22 | 2024-10-08 |
eurostat | sts_intvnd_m | 2024-12-22 | 2024-12-22 |
fred | industry | 2024-12-22 | 2024-12-22 |
oecd | ALFS_EMP | 2024-04-16 | 2024-12-22 |
oecd | BERD_MA_SOF | 2024-04-16 | 2023-09-09 |
oecd | GBARD_NABS2007 | 2024-04-16 | 2023-11-22 |
oecd | MEI_REAL | 2024-05-12 | 2024-12-22 |
oecd | MSTI_PUB | 2024-09-15 | 2024-12-22 |
oecd | SNA_TABLE4 | 2024-09-15 | 2024-12-16 |
wdi | NV.IND.EMPL.KD | 2024-01-06 | 2024-09-18 |
wdi | NV.IND.MANF.CD | 2024-12-22 | 2024-12-22 |
wdi | NV.IND.MANF.ZS | 2024-12-22 | 2024-12-22 |
wdi | NV.IND.TOTL.KD | 2024-01-06 | 2024-09-18 |
wdi | NV.IND.TOTL.ZS | 2024-12-22 | 2024-12-22 |
wdi | SL.IND.EMPL.ZS | 2024-12-22 | 2024-12-22 |
wdi | TX.VAL.MRCH.CD.WT | 2024-01-06 | 2024-09-18 |
LAST_COMPILE
LAST_COMPILE |
---|
2024-12-22 |
Last
Code
%>%
sts_inppd_m group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
head(1) %>%
print_table_conditional()
time | Nobs |
---|---|
2024M11 | 2965 |
nace_r2
Code
%>%
sts_inppd_m 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 .} {
unit
Code
%>%
sts_inppd_m left_join(unit, by = "unit") %>%
group_by(unit, Unit) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) print_table(.) else .} {
unit | Unit | Nobs |
---|---|---|
PCH_PRE | Percentage change on previous period | 1865499 |
PCH_SM | Percentage change compared to same period in previous year | 1793210 |
I15 | Index, 2015=100 | 1674270 |
I21 | Index, 2021=100 | 1505260 |
I10 | Index, 2010=100 | 1095326 |
indic_bt
Code
%>%
sts_inppd_m 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 |
---|---|---|
PRC_PRR_DOM | Domestic producer prices | 7933565 |
geo
Code
%>%
sts_inppd_m 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
Code
%>%
sts_inppd_m group_by(time) %>%
summarise(Nobs = n()) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
France, Germany, Italy
All
Code
%>%
sts_inppd_m filter(nace_r2 == "C",
== "I15",
unit %in% c("FR", "DE", "IT")) %>%
geo select(geo, time, values) %>%
group_by(geo) %>%
mutate(values = values/values[time == "2000M01"]) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
%>%
month_to_date ggplot() + ylab("Domestic output price index - in national currency") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = Geo)) +
scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
scale_x_date(breaks = seq(1920, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
+
add_3flags theme(legend.position = "none") +
scale_y_log10(breaks = seq(-60, 300, 10))
1995-
Code
%>%
sts_inppd_m filter(nace_r2 == "C",
== "I15",
unit %in% c("FR", "DE", "IT")) %>%
geo select(geo, time, values) %>%
group_by(geo) %>%
mutate(values = 100*values/values[time == "2000M01"]) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
%>%
month_to_date filter(date >= as.Date("1995-01-01")) %>%
ggplot() + ylab("Domestic output price index - in national currency") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = Geo)) +
scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
scale_x_date(breaks = seq(1920, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
+
add_3flags theme(legend.position = "none") +
scale_y_log10(breaks = seq(-60, 300, 5))
2000-
Code
%>%
sts_inppd_m filter(nace_r2 == "C",
== "I15",
unit %in% c("FR", "DE", "IT")) %>%
geo select(geo, time, values) %>%
group_by(geo) %>%
mutate(values = 100*values/values[time == "2000M01"]) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
%>%
month_to_date filter(date >= as.Date("2000-01-01")) %>%
ggplot() + ylab("Domestic output price index - in national currency") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = Geo)) +
scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
scale_x_date(breaks = seq(1920, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
+
add_3flags theme(legend.position = "none") +
scale_y_log10(breaks = seq(-60, 300, 5))
2020-
Code
%>%
sts_inppd_m filter(nace_r2 == "C",
== "I15",
unit %in% c("FR", "DE", "IT")) %>%
geo select(geo, time, values) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
%>%
month_to_date filter(date >= as.Date("2020-01-01")) %>%
group_by(geo) %>%
arrange(date) %>%
mutate(values = 100*values/values[1]) %>%
ggplot() + ylab("Domestic output price index - in national currency") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = Geo)) +
scale_color_manual(values = c("#0055a4", "#000000", "#008c45")) +
scale_x_date(breaks = "6 months",
labels = date_format("%b %Y")) +
+
add_3flags theme(legend.position = "none") +
scale_y_log10(breaks = seq(-60, 300, 5))
Euro Area 19
C
All
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "C",
== "PCH_SM",
unit %in% c("EA19")) %>%
geo %>%
month_to_date left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 100, 5),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.6, 0.85),
legend.title = element_blank())
2016-
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "C",
== "PCH_SM",
unit %in% c("EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("2016-01-01")) %>%
left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 100, 5),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.3, 0.85),
legend.title = element_blank())
2020-
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "C",
== "PCH_SM",
unit %in% c("EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("2020-01-01")) %>%
left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq.Date(as.Date("2019-12-01"), as.Date("2024-01-01"), "3 months"),
labels = date_format("%b %y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 100, 5),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.3, 0.85),
legend.title = element_blank())
France
C
All
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "C",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 100, 5),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.6, 0.85),
legend.title = element_blank())
2016-
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "C",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date filter(date >= as.Date("2016-01-01")) %>%
left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 100, 5),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.3, 0.85),
legend.title = element_blank())
2020-
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "C",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date filter(date >= as.Date("2020-01-01")) %>%
left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq.Date(as.Date("2019-12-01"), as.Date("2024-01-01"), "3 months"),
labels = date_format("%b %y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 100, 5),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.3, 0.85),
legend.title = element_blank())
D35
All
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "D35",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 1000, 20),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.6, 0.85),
legend.title = element_blank())
2016-
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "D35",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date filter(date >= as.Date("2016-01-01")) %>%
left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 1000, 20),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.3, 0.85),
legend.title = element_blank())
2020-
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "D35",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date filter(date >= as.Date("2020-01-01")) %>%
left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq.Date(as.Date("2019-12-01"), as.Date("2024-01-01"), "3 months"),
labels = date_format("%b %y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 1000, 20),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.3, 0.85),
legend.title = element_blank())
MIG_NRG - Energy
All
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "MIG_NRG",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 300, 20),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.6, 0.85),
legend.title = element_blank())
2016-
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "MIG_NRG",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date filter(date >= as.Date("2016-01-01")) %>%
left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 300, 20),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.3, 0.85),
legend.title = element_blank())
2020-
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "MIG_NRG",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date filter(date >= as.Date("2020-01-01")) %>%
left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq.Date(as.Date("2019-12-01"), as.Date("2024-01-01"), "3 months"),
labels = date_format("%b %y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 300, 20),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.3, 0.85),
legend.title = element_blank())
MIG_COG - Consumer Goods
All
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "MIG_COG",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 300, 2),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.6, 0.85),
legend.title = element_blank())
2016-
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "MIG_COG",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date filter(date >= as.Date("2016-01-01")) %>%
left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 300, 2),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.3, 0.85),
legend.title = element_blank())
2020-
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "MIG_COG",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date filter(date >= as.Date("2020-01-01")) %>%
left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq.Date(as.Date("2019-12-01"), as.Date("2024-01-01"), "3 months"),
labels = date_format("%b %y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 300, 2),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.3, 0.85),
legend.title = element_blank())
MIG_CAG - Capital Goods
All
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "MIG_CAG",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 300, 2),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.6, 0.85),
legend.title = element_blank())
2016-
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "MIG_CAG",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date filter(date >= as.Date("2016-01-01")) %>%
left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 300, 2),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.3, 0.85),
legend.title = element_blank())
2020-
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "MIG_CAG",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date filter(date >= as.Date("2020-01-01")) %>%
left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq.Date(as.Date("2019-12-01"), as.Date("2024-01-01"), "3 months"),
labels = date_format("%b %y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 300, 2),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.3, 0.85),
legend.title = element_blank())
MIG_ING - Intermediate goods
All
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "MIG_ING",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 300, 2),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.6, 0.85),
legend.title = element_blank())
2016-
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "MIG_ING",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date filter(date >= as.Date("2016-01-01")) %>%
left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 300, 2),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.3, 0.85),
legend.title = element_blank())
2020-
Code
%>%
sts_inpp_m bind_rows(sts_inppd_m) %>%
bind_rows(sts_inppnd_m) %>%
filter(nace_r2 == "MIG_ING",
== "PCH_SM",
unit %in% c("FR")) %>%
geo %>%
month_to_date filter(date >= as.Date("2020-01-01")) %>%
left_join(indic_bt, by = "indic_bt") %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = Indic_bt)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq.Date(as.Date("2019-12-01"), as.Date("2024-01-01"), "3 months"),
labels = date_format("%b %y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 300, 2),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.3, 0.85),
legend.title = element_blank())
France, Germany, Italy, Spain, Europe
C
All
Code
%>%
sts_inppd_m filter(nace_r2 == "C",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 100, 5),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
1995-
Code
%>%
sts_inppd_m filter(nace_r2 == "C",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("1995-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 100, 5),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
2016-
Code
%>%
sts_inppd_m filter(nace_r2 == "C",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("2016-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 100, 5),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
2020-
Code
%>%
sts_inppd_m filter(nace_r2 == "C",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("2020-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq.Date(as.Date("2019-12-01"), as.Date("2024-01-01"), "3 months"),
labels = date_format("%b %y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 100, 2),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
D35 - Electricity, gas, steam and air conditioning supply
All
Code
%>%
sts_inppd_m filter(nace_r2 == "D35",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 200, 20),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
1995-
Code
%>%
sts_inppd_m filter(nace_r2 == "D35",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("1995-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 200, 20),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
2016-
Code
%>%
sts_inppd_m filter(nace_r2 == "D35",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("2016-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 200, 20),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
2020-
Code
%>%
sts_inppd_m filter(nace_r2 == "D35",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("2020-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq.Date(as.Date("2019-12-01"), as.Date("2024-01-01"), "3 months"),
labels = date_format("%b %y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 200, 20),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
MIG_COG - Consumer Goods
All
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_COG",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 100, 5),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
1995-
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_COG",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("1995-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 100, 5),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
2016-
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_COG",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("2016-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 100, 5),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
2020-
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_COG",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("2020-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq.Date(as.Date("2019-12-01"), as.Date("2024-01-01"), "3 months"),
labels = date_format("%b %y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 100, 2),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
MIG_CAG - Capital Goods
All
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_CAG",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 100, 5),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
1995-
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_CAG",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("1995-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 100, 5),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
2016-
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_CAG",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("2016-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 100, 5),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
2020-
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_CAG",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("2020-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq.Date(as.Date("2019-12-01"), as.Date("2024-01-01"), "3 months"),
labels = date_format("%b %y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 100, 2),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
MIG_NRG - Energy
All
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_NRG",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 200, 10),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
1995-
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_NRG",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("1995-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 200, 10),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
2016-
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_NRG",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("2016-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 200, 10),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
2020-
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_NRG",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("2020-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq.Date(as.Date("2019-12-01"), as.Date("2024-01-01"), "3 months"),
labels = date_format("%b %y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 200, 10),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
MIG_ING - Intermediate goods
All
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_ING",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 100, 5),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
1995-
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_ING",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("1995-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 200, 10),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
2016-
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_ING",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("2016-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 200, 10),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
2020-
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_ING",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("2020-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq.Date(as.Date("2019-12-01"), as.Date("2024-01-01"), "3 months"),
labels = date_format("%b %y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 200, 10),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
MIG_NDCOG - Non-durable consumer goods
All
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_NDCOG",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-100, 100, 5),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
1995-
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_NDCOG",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("1995-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 200, 2),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
2016-
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_NDCOG",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("2016-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2050, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 200, 2),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())
2020-
Code
%>%
sts_inppd_m filter(nace_r2 == "MIG_NDCOG",
== "PCH_SM",
unit %in% c("FR", "DE", "ES", "IT", "EA19")) %>%
geo %>%
month_to_date filter(date >= as.Date("2020-01-01")) %>%
left_join(geo, by = "geo") %>%
mutate(Geo = ifelse(geo == "EA19", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(values = values/100) %>%
ggplot(.) + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq.Date(as.Date("2019-12-01"), as.Date("2024-01-01"), "3 months"),
labels = date_format("%b %y")) +
scale_y_continuous(breaks = 0.01*seq(-20, 200, 2),
labels = percent_format(a = 1)) +
scale_color_identity() + add_5flags +
theme(legend.position = c(0.75, 0.90),
legend.title = element_blank())