Last observation: 2026-07-27 (N = 240)
First observation: 2005-01-03 (N = 266)
Last data update: 01 aoû 2026, 23:26. Last compile: 16 aoû 2026, 01:19
Data - ec
Last observation: 2026-07-27 (N = 240)
First observation: 2005-01-03 (N = 266)
Last data update: 01 aoû 2026, 23:26. Last compile: 16 aoû 2026, 01:19
WOB |>
group_by(`Product Name`, product) |>
summarise(Nobs = n()) |>
arrange(-Nobs) |>
print_table_conditional()| Product Name | product | Nobs |
|---|---|---|
| Automotive gas oil | diesel | 64620 |
| Euro-super 95 | euro95 | 64620 |
| Fuel oil - Sulphur higher than 1% | fuel_oil_2 | 64620 |
| Fuel oil - Sulphur less than 1% | fuel_oil_1 | 64620 |
| Heating gas oil | heating_oil | 64620 |
| LPG - motor fuel | LPG | 64620 |
WOB |>
group_by(tax) |>
summarise(Nobs = n()) |>
arrange(-Nobs) |>
print_table_conditional()| tax | Nobs |
|---|---|
| Prices with taxes | 193860 |
| Prices wo taxes | 193860 |
WOB |>
group_by(geo, Geo) |>
summarise(Nobs = n()) |>
mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Geo))),
Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) |>
select(Flag, everything()) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}WOB |>
filter(`Product Name` == "Euro-super 95",
Geo %in% c("France", "Germany", "Spain", "Italy")) |>
mutate(values = values/1000) |>
filter(date >= as.Date("2020-04-01")) |>
left_join(colors, by = c("Geo" = "country")) |>
group_by(Geo, tax) |>
mutate(values = 100*values/values[date == as.Date("2022-02-21")]) |>
ggplot() + geom_line(aes(x = date, y = values, color = color, linetype = tax)) +
theme_minimal() + xlab("") + ylab("Euro-super 95 (100 = February 21, 2022)") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2019-11-01"), Sys.Date(), "3 month"),
labels = scales::date_format("%b %Y")) + add_flags +
scale_y_log10(breaks = seq(10, 300, 10)) +
theme(legend.position = c(0.7, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Euro-super 95",
Geo %in% c("France", "Germany", "Spain", "Italy")) |>
mutate(values = values/1000) |>
filter(date >= as.Date("2020-04-01")) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color, linetype = tax)) +
theme_minimal() + xlab("") + ylab("Euro-super 95") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2019-11-01"), Sys.Date(), "3 month"),
labels = scales::date_format("%b %Y")) + add_flags +
scale_y_continuous(breaks = seq(-100, 100, 0.1),
labels = scales::dollar_format(a = .1, pre = "", su = " €/L")) +
theme(legend.position = c(0.3, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Euro-super 95",
Geo %in% c("France", "Germany", "Spain", "Italy")) |>
mutate(values = values/1000) |>
filter(date >= as.Date("2022-02-21")) |>
left_join(colors, by = c("Geo" = "country")) |>
group_by(Geo, tax) |>
mutate(values = 100*values/values[date == as.Date("2022-02-21")]) |>
ggplot() + geom_line(aes(x = date, y = values, color = color, linetype = tax)) +
theme_minimal() + xlab("") + ylab("Euro-super 95 (100 = February 21, 2022)") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2019-11-01"), Sys.Date(), "1 month"),
labels = scales::date_format("%b %Y")) + add_flags +
scale_y_log10(breaks = seq(10, 300, 10)) +
theme(legend.position = c(0.7, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Euro-super 95",
Geo %in% c("France", "Germany", "Spain", "Italy")) |>
mutate(values = values/1000) |>
filter(date >= as.Date("2022-02-21")) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color, linetype = tax)) +
theme_minimal() + xlab("") + ylab("Euro-super 95") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2019-11-01"), Sys.Date(), "1 month"),
labels = scales::date_format("%b %Y")) + add_flags +
scale_y_continuous(breaks = seq(-100, 100, 0.1),
labels = scales::dollar_format(a = .1, pre = "", su = " €/L")) +
theme(legend.position = c(0.7, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Euro-super 95",
Geo %in% c("France", "Portugal", "Spain", "Italy", "European Union (average)"),
tax == "Prices with taxes") |>
mutate(Geo = ifelse(Geo == "European Union (average)", "Europe", Geo)) |>
mutate(values = values/1000) |>
filter(date >= Sys.Date() %m-% months(6)) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("Euro-super 95, Price with taxes") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2018-09-10"), Sys.Date(), "1 week"),
labels = scales::date_format("%d %b %Y")) + add_flags +
scale_y_continuous(breaks = seq(-100, 100, 0.05),
labels = scales::dollar_format(a = .01, pre = "", su = " €/L")) +
theme(legend.position = c(0.3, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Euro-super 95",
Geo %in% c("France", "Germany", "Spain", "Italy"),
tax == "Prices with taxes") |>
mutate(values = values/1000) |>
filter(date >= Sys.Date() %m-% months(6)) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + xlab("") + ylab("Automotive gas oil") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2018-09-10"), Sys.Date(), "1 week"),
labels = scales::date_format("%d %b %Y")) + add_flags +
scale_y_continuous(breaks = seq(-100, 100, 0.05),
labels = scales::dollar_format(a = .01, pre = "", su = " €/L")) +
theme(legend.position = c(0.3, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Automotive gas oil",
Geo %in% c("France", "Germany", "Spain")) |>
mutate(values = values/1000) |>
filter(date >= as.Date("2022-02-21")) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color, linetype = tax)) +
theme_minimal() + xlab("") + ylab("Automotive gas oil") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2019-11-01"), Sys.Date(), "1 month"),
labels = scales::date_format("%b %Y")) + add_flags +
scale_y_continuous(breaks = seq(-100, 100, 0.1),
labels = scales::dollar_format(a = .1, pre = "", su = " €/L")) +
theme(legend.position = c(0.7, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Automotive gas oil",
Geo %in% c("France", "Germany", "Spain")) |>
mutate(values = values/1000) |>
filter(date >= as.Date("2022-02-21")) |>
left_join(colors, by = c("Geo" = "country")) |>
group_by(Geo, tax) |>
mutate(values = 100*values/values[date == as.Date("2022-02-21")]) |>
ggplot() + geom_line(aes(x = date, y = values, color = color, linetype = tax)) +
theme_minimal() + xlab("") + ylab("Automotive gas oil") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2019-11-01"), Sys.Date(), "1 month"),
labels = scales::date_format("%b %Y")) + add_flags +
scale_y_continuous(breaks = seq(100, 300, 10)) +
theme(legend.position = c(0.7, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Automotive gas oil",
Geo %in% c("France", "Germany", "Spain")) |>
mutate(values = values/1000) |>
filter(date >= as.Date("2022-01-01")) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color, linetype = tax)) +
theme_minimal() + xlab("") + ylab("Automotive gas oil") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2019-11-01"), Sys.Date(), "1 month"),
labels = scales::date_format("%b %Y")) + add_flags +
scale_y_continuous(breaks = seq(-100, 100, 0.1),
labels = scales::dollar_format(a = .1, pre = "", su = " €/L")) +
theme(legend.position = c(0.7, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Automotive gas oil",
Geo %in% c("France", "Germany", "Spain")) |>
mutate(values = values/1000) |>
filter(date >= Sys.Date() %m-% years(1)) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color, linetype = tax)) +
theme_minimal() + xlab("") + ylab("Automotive gas oil") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2019-11-01"), Sys.Date(), "1 month"),
labels = scales::date_format("%b %Y")) + add_flags +
scale_y_continuous(breaks = seq(-100, 100, 0.1),
labels = scales::dollar_format(a = .1, pre = "", su = " €/L")) +
theme(legend.position = c(0.7, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Automotive gas oil",
Geo %in% c("France", "Germany", "Spain")) |>
mutate(values = values/1000) |>
filter(date >= Sys.Date() %m-% months(3)) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color, linetype = tax)) +
theme_minimal() + xlab("") + ylab("Automotive gas oil") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2018-09-10"), Sys.Date(), "1 week"),
labels = scales::date_format("%d %b %Y")) + add_flags +
scale_y_continuous(breaks = seq(-100, 100, 0.1),
labels = scales::dollar_format(a = .1, pre = "", su = " €/L")) +
theme(legend.position = c(0.3, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Automotive gas oil",
Geo %in% c("France", "Germany", "Spain")) |>
mutate(values = values/1000) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color, linetype = tax)) +
theme_minimal() + xlab("") + ylab("Automotive gas oil") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("1995-12-01"), Sys.Date(), "6 months"),
labels = scales::date_format("%b %Y")) + add_flags +
scale_y_continuous(breaks = seq(-100, 100, 0.1),
labels = scales::dollar_format(a = .1, pre = "", su = " €/L")) +
theme(legend.position = c(0.3, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Heating gas oil",
Geo %in% c("France", "Germany", "Spain")) |>
mutate(values = values/1000) |>
filter(date >= as.Date("2022-01-01")) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color, linetype = tax)) +
theme_minimal() + xlab("") + ylab("Heating gas oil") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2019-11-01"), Sys.Date(), "1 month"),
labels = scales::date_format("%b %Y")) + add_flags +
scale_y_continuous(breaks = seq(-100, 100, 0.1),
labels = scales::dollar_format(a = .1, pre = "", su = " €/L")) +
theme(legend.position = c(0.7, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Heating gas oil",
Geo %in% c("France", "Germany", "Spain")) |>
mutate(values = values/1000) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color, linetype = tax)) +
theme_minimal() + xlab("") + ylab("Heating gas oil") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2000-12-01"), Sys.Date(), "6 months"),
labels = scales::date_format("%b %Y")) + add_flags +
scale_y_continuous(breaks = seq(-100, 100, 0.1),
labels = scales::dollar_format(a = .1, pre = "", su = " €/L")) +
theme(legend.position = c(0.3, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Euro-super 95",
Geo %in% c("France", "Germany", "Spain")) |>
mutate(values = values/1000) |>
filter(date >= as.Date("2022-02-21")) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color, linetype = tax)) +
theme_minimal() + xlab("") + ylab("Euro-super 95") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2019-11-01"), Sys.Date(), "1 month"),
labels = scales::date_format("%b %Y")) + add_flags +
scale_y_continuous(breaks = seq(-100, 100, 0.1),
labels = scales::dollar_format(a = .1, pre = "", su = " €/L")) +
theme(legend.position = c(0.7, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Euro-super 95",
Geo %in% c("France", "Germany", "Spain")) |>
mutate(values = values/1000) |>
filter(date >= as.Date("2022-02-21")) |>
left_join(colors, by = c("Geo" = "country")) |>
group_by(Geo, tax) |>
mutate(values = 100*values/values[date == as.Date("2022-02-21")]) |>
ggplot() + geom_line(aes(x = date, y = values, color = color, linetype = tax)) +
theme_minimal() + xlab("") + ylab("Euro-super 95") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2019-11-01"), Sys.Date(), "1 month"),
labels = scales::date_format("%b %Y")) + add_flags +
scale_y_continuous(breaks = seq(10, 300, 10)) +
theme(legend.position = c(0.7, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Euro-super 95",
Geo %in% c("France", "Germany", "Spain")) |>
mutate(values = values/1000) |>
filter(date >= as.Date("2022-01-01")) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color, linetype = tax)) +
theme_minimal() + xlab("") + ylab("Euro-super 95") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2019-11-01"), Sys.Date(), "1 month"),
labels = scales::date_format("%b %Y")) + add_flags +
scale_y_continuous(breaks = seq(-100, 100, 0.1),
labels = scales::dollar_format(a = .1, pre = "", su = " €/L")) +
theme(legend.position = c(0.7, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())
WOB |>
filter(`Product Name` == "Euro-super 95",
Geo %in% c("France", "Germany", "Spain")) |>
mutate(values = values/1000) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color, linetype = tax)) +
theme_minimal() + xlab("") + ylab("Euro-super 95") + scale_color_identity() +
scale_x_date(breaks = seq.Date(as.Date("2000-12-01"), Sys.Date(), "6 months"),
labels = scales::date_format("%b %Y")) + add_flags +
scale_y_continuous(breaks = seq(-100, 100, 0.1),
labels = scales::dollar_format(a = .1, pre = "", su = " €/L")) +
theme(legend.position = c(0.3, 0.95),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),
legend.title = element_blank())