Last observation: 2024 (N = 31352)
First observation: 2000 (N = 46824)
Last data update: 14 aoû 2026, 21:14. Last compile: 18 aoû 2026, 02:37
Gross value added at basic prices by NUTS 3 regions - nama_10r_3gva
Data - Eurostat
Info
Structure
nace_r2 - France NUTS 3
Alsace, Champagne-Ardenne, Ile de France, Lorraine
Code
nama_10r_3gva |>
filter(time == "2015",
geo %in% c("FR10", "FRF1", "FRF2", "FRF3"),
unit == "CP_MEUR") |>
select(Geo, nace_r2, Nace_r2, values) |>
group_by(Geo) |>
mutate(values = round(100*values / values[nace_r2 == "TOTAL"], 1)) |>
spread(Geo, values) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}Alsace, Champagne-Ardenne, Ile de France, Lorraine
Code
nama_10r_3gva |>
filter(time == "2015",
geo %in% c("FRB0", "FRC1", "FRC2", "FRD1"),
unit == "CP_MEUR") |>
select(Geo, nace_r2, Nace_r2, values) |>
group_by(Geo) |>
mutate(values = round(100*values / values[nace_r2 == "TOTAL"], 1)) |>
spread(Geo, values) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}Value Added
NUTS 2 Value added by employment (in Total Industry)
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 4,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, Geo, value_added = values) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}NUTS 3 Value added by employment (in Total Industry)
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 5,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, Geo, value_added = values) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}NUTS 1 Value added by employment (in Total Industry)
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 3,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, Geo, value_added = values) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}Value Added Per Person
NUTS 2 Value added per person (in Total Industry)
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 4,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, Geo, value_added = values) |>
full_join(nama_10r_3empers |>
filter(time == "2015",
nchar(geo) == 4,
wstatus == "EMP",
nace_r2 == "TOTAL") |>
select(geo, employment = values), by = "geo") |>
mutate(emp_person = round(1000*value_added / employment)) |>
select(geo, Geo, emp_person) |>
na.omit() %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}NUTS 3 Value added per person (in Total Industry)
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 5,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, Geo, value_added = values) |>
full_join(nama_10r_3empers |>
filter(time == "2015",
nchar(geo) == 5,
wstatus == "EMP",
nace_r2 == "TOTAL") |>
select(geo, employment = values), by = "geo") |>
mutate(emp_person = round(1000*value_added / employment)) |>
select(geo, Geo, emp_person) |>
na.omit() %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}NUTS 1 Value added per person (in Total Industry)
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 3,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, Geo, value_added = values) |>
full_join(nama_10r_3empers |>
filter(time == "2015",
nchar(geo) == 3,
wstatus == "EMP",
nace_r2 == "TOTAL") |>
select(geo, employment = values), by = "geo") |>
mutate(emp_person = round(1000*value_added / employment)) |>
select(geo, Geo, emp_person) |>
arrange(-emp_person) |>
na.omit() %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}Productivity Europe
Total Europe
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 4,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, Geo, value_added = values) |>
full_join(nama_10r_3empers |>
filter(time == "2015",
nchar(geo) == 4,
wstatus == "EMP",
nace_r2 == "TOTAL") |>
select(geo, employment = values),
by = "geo") |>
mutate(value = round(1000*value_added / employment)) |>
select(geo, Geo, value) |>
right_join(europe_NUTS2, by = "geo") |>
filter(long >= -30, lat >= 25) |>
ggplot(aes(x = long, y = lat, group = group, fill = value/1000)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = scales::dollar_format(accuracy = 1, prefix = "", suffix = " k€"),
breaks = c(seq(0, 80, 10), 100, 200),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Income")
Manufacturing / Employment
NUTS2
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 4,
unit == "CP_MEUR",
nace_r2 == "C") |>
select(geo, Geo, value_added = values) |>
full_join(nama_10r_3empers |>
filter(time == "2015",
nchar(geo) == 4,
wstatus == "EMP",
nace_r2 == "TOTAL") |>
select(geo, employment = values),
by = "geo") |>
mutate(value = round(1000*value_added / employment)) |>
select(geo, Geo, value) |>
right_join(europe_NUTS2, by = "geo") |>
filter(long >= -15, lat >= 33, value <= 80000) |>
ggplot(aes(x = long, y = lat, group = group, fill = value/1000)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = scales::dollar_format(accuracy = 1, prefix = "", suffix = " k€"),
breaks = c(seq(0, 80, 5), 100, 200),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1),
direction = -1) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Manuf / Person")
NUTS3
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 5,
unit == "CP_MEUR",
nace_r2 == "C") |>
select(geo, Geo, value_added = values) |>
full_join(nama_10r_3empers |>
filter(time == "2015",
nchar(geo) == 5,
wstatus == "EMP",
nace_r2 == "TOTAL") |>
select(geo, employment = values),
by = "geo") |>
mutate(value = round(1000*value_added / employment)) |>
filter(!is.na(value)) |>
select(geo, Geo, value) |>
right_join(europe_NUTS3, by = "geo") |>
filter(long >= -15, lat >= 33, value <= 80000) |>
ggplot(aes(x = long, y = lat, group = group, fill = value/1000)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = scales::dollar_format(accuracy = 1, prefix = "", suffix = " k€"),
breaks = c(seq(0, 80, 5), 100, 200),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1),
direction = -1) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Manuf / Person")
NUTS1
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 3,
unit == "CP_MEUR",
nace_r2 == "C") |>
select(geo, Geo, value_added = values) |>
full_join(nama_10r_3empers |>
filter(time == "2015",
nchar(geo) == 3,
wstatus == "EMP",
nace_r2 == "TOTAL") |>
select(geo, employment = values),
by = "geo") |>
mutate(value = round(1000*value_added / employment)) |>
select(geo, Geo, value) |>
right_join(europe_NUTS1, by = "geo") |>
filter(long >= -15, lat >= 33, value <= 80000) |>
ggplot(aes(x = long, y = lat, group = group, fill = value/1000)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = scales::dollar_format(accuracy = 1, prefix = "", suffix = " k€"),
breaks = c(seq(0, 80, 5), 100, 200),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1),
direction = -1) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Manuf / Person")
NUTS0
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 2,
unit == "CP_MEUR",
nace_r2 == "C") |>
select(geo, Geo, value_added = values) |>
full_join(nama_10r_3empers |>
filter(time == "2015",
nchar(geo) == 2,
wstatus == "EMP",
nace_r2 == "TOTAL") |>
select(geo, employment = values),
by = "geo") |>
mutate(value = round(1000*value_added / employment)) |>
select(geo, Geo, value) |>
right_join(europe_NUTS0, by = "geo") |>
filter(long >= -15, lat >= 33, value <= 80000) |>
ggplot(aes(x = long, y = lat, group = group, fill = value/1000)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = scales::dollar_format(accuracy = 1, prefix = "", suffix = " k€"),
breaks = c(seq(0, 80, 5), 100, 200),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1),
direction = -1) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Manuf / Person")
Agriculture Value Added / Person
NUTS2
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 4,
unit == "CP_MEUR",
nace_r2 == "A") |>
select(geo, Geo, value_added = values) |>
full_join(nama_10r_3empers |>
filter(time == "2015",
nchar(geo) == 4,
wstatus == "EMP",
nace_r2 == "TOTAL") |>
select(geo, employment = values),
by = "geo") |>
mutate(value = round(1000*value_added / employment)) |>
select(geo, Geo, value) |>
right_join(europe_NUTS2, by = "geo") |>
filter(long >= -15, lat >= 33, value <= 80000) |>
ggplot(aes(x = long, y = lat, group = group, fill = value/1000)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = scales::dollar_format(accuracy = 1, prefix = "", suffix = " k€"),
breaks = c(seq(0, 80, 1), 100, 200),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1),
direction = -1) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Agr. Value Added / Person")
NUTS3
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 5,
unit == "CP_MEUR",
nace_r2 == "A") |>
select(geo, Geo, value_added = values) |>
full_join(nama_10r_3empers |>
filter(time == "2015",
nchar(geo) == 5,
wstatus == "EMP",
nace_r2 == "TOTAL") |>
select(geo, employment = values),
by = "geo") |>
mutate(value = round(1000*value_added / employment)) |>
select(geo, Geo, value) |>
right_join(europe_NUTS3, by = "geo") |>
filter(long >= -15, lat >= 33, value <= 80000) |>
ggplot(aes(x = long, y = lat, group = group, fill = value/1000)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = scales::dollar_format(accuracy = 1, prefix = "", suffix = " k€"),
breaks = c(seq(0, 80, 1), 100, 200),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Agr. Value Added / Person")
NUTS1
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 3,
unit == "CP_MEUR",
nace_r2 == "A") |>
select(geo, Geo, value_added = values) |>
full_join(nama_10r_3empers |>
filter(time == "2015",
nchar(geo) == 3,
wstatus == "EMP",
nace_r2 == "TOTAL") |>
select(geo, employment = values),
by = "geo") |>
mutate(value = round(1000*value_added / employment)) |>
select(geo, Geo, value) |>
right_join(europe_NUTS1, by = "geo") |>
filter(long >= -15, lat >= 33, value <= 80000) |>
ggplot(aes(x = long, y = lat, group = group, fill = value/1000)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = scales::dollar_format(accuracy = 1, prefix = "", suffix = " k€"),
breaks = c(seq(0, 80, 1), 100, 200),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Agr. Value Added / Person")
NUTS0
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 2,
unit == "CP_MEUR",
nace_r2 == "A") |>
select(geo, Geo, value_added = values) |>
full_join(nama_10r_3empers |>
filter(time == "2015",
nchar(geo) == 2,
wstatus == "EMP",
nace_r2 == "TOTAL") |>
select(geo, employment = values),
by = "geo") |>
mutate(value = round(1000*value_added / employment)) |>
select(geo, Geo, value) |>
right_join(europe_NUTS0, by = "geo") |>
filter(long >= -15, lat >= 33, value <= 80000) |>
ggplot(aes(x = long, y = lat, group = group, fill = value/1000)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = scales::dollar_format(accuracy = 1, prefix = "", suffix = " k€"),
breaks = c(seq(0, 80, 1), 100, 200),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Manuf / Person")
Animation
Agriculture
Code
options(gganimate.nframes = 50, gganimate.end_pause = 10)
nama_10r_3gva |>
filter(nchar(geo) == 4,
unit == "CP_MEUR",
nace_r2 == "A") |>
select(time, geo, Geo, value_added = values) |>
full_join(nama_10r_3empers |>
filter(nchar(geo) == 4,
wstatus == "EMP",
nace_r2 == "TOTAL") |>
select(time, geo, employment = values),
by = c("geo", "time")) |>
mutate(value = round(1000*value_added / employment),
year = as.integer(time)) |>
select(year, geo, Geo, value) |>
right_join(europe_NUTS2, by = "geo") |>
filter(long >= -15, lat >= 33, value <= 80000) |>
ggplot(aes(x = long, y = lat, group = group, fill = value/1000)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = scales::dollar_format(accuracy = 1, prefix = "", suffix = " k€"),
breaks = c(seq(0, 80, 1), 100, 200),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Agr. Value Added / Person") +
transition_time(year) +
labs(title = "Year: {frame_time}")
Industry
Code
nama_10r_3gva |>
filter(nchar(geo) == 5,
unit == "CP_MEUR",
nace_r2 == "C") |>
select(time, geo, Geo, value_added_manuf = values) |>
full_join(nama_10r_3gva |>
filter(nchar(geo) == 5,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(time, geo, value_added_total = values),
by = c("geo", "time")) |>
mutate(value = value_added_manuf / value_added_total,
year = as.integer(time)) |>
select(year, geo, Geo, value) |>
right_join(europe_NUTS3, by = "geo") |>
filter(long >= -15, lat >= 33) |>
ggplot(aes(x = long, y = lat, group = group, fill = value)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = percent_format(accuracy = 1),
breaks = 0.01*seq(0, 90, 10),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Manuf Share") +
transition_time(year) +
labs(title = "Year: {frame_time}")
Manufacturing
Code
options(gganimate.nframes = 50, gganimate.end_pause = 10)
nama_10r_3gva |>
filter(nchar(geo) == 4,
unit == "CP_MEUR",
nace_r2 == "A") |>
select(time, geo, Geo, value_added_manuf = values) |>
full_join(nama_10r_3gva |>
filter(nchar(geo) == 4,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(time, geo, value_added_total = values),
by = c("geo", "time")) |>
mutate(value = value_added_manuf / value_added_total,
year = as.integer(time)) |>
select(year, geo, Geo, value) |>
right_join(europe_NUTS2, by = "geo") |>
filter(long >= -15, lat >= 33, value <= 80000) |>
ggplot(aes(x = long, y = lat, group = group, fill = value/1000)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = percent_format(accuracy = 1),
breaks = 0.01*seq(0, 90, 10),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Manuf Share") +
transition_time(year) +
labs(title = "Year: {frame_time}")
Manufacturing Share
NUTS2
2015
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 4,
unit == "CP_MEUR",
nace_r2 == "C") |>
select(geo, Geo, value_added_manuf = values) |>
full_join(nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 4,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, value_added_total = values),
by = "geo") |>
mutate(value = value_added_manuf / value_added_total) |>
select(geo, Geo, value) |>
right_join(europe_NUTS2, by = "geo") |>
filter(long >= -15, lat >= 33) |>
ggplot(aes(x = long, y = lat, group = group, fill = value)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = percent_format(accuracy = 1),
breaks = 0.01*seq(0, 90, 10),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Manuf Share")
2000
Code
nama_10r_3gva |>
filter(time == "2000",
nchar(geo) == 4,
unit == "CP_MEUR",
nace_r2 == "C") |>
select(geo, Geo, value_added_manuf = values) |>
full_join(nama_10r_3gva |>
filter(time == "2000",
nchar(geo) == 4,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, value_added_total = values),
by = "geo") |>
mutate(value = value_added_manuf / value_added_total) |>
select(geo, Geo, value) |>
right_join(europe_NUTS2, by = "geo") |>
filter(long >= -15, lat >= 33) |>
ggplot(aes(x = long, y = lat, group = group, fill = value)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = percent_format(accuracy = 1),
breaks = 0.01*seq(0, 90, 10),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Manuf Share")
NUTS3
Normal
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 5,
unit == "CP_MEUR",
nace_r2 == "C") |>
select(geo, Geo, value_added_manuf = values) |>
full_join(nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 5,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, value_added_total = values),
by = "geo") |>
mutate(value = value_added_manuf / value_added_total) |>
select(geo, Geo, value) |>
right_join(europe_NUTS3, by = "geo") |>
filter(long >= -15, lat >= 33) |>
ggplot(aes(x = long, y = lat, group = group, fill = value)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = percent_format(accuracy = 1),
breaks = 0.01*seq(0, 90, 10),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Manuf Share")
Inverted
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 5,
unit == "CP_MEUR",
nace_r2 == "C") |>
select(geo, Geo, value_added_manuf = values) |>
full_join(nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 5,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, value_added_total = values),
by = "geo") |>
mutate(value = value_added_manuf / value_added_total) |>
select(geo, Geo, value) |>
right_join(europe_NUTS3, by = "geo") |>
filter(long >= -15, lat >= 33) |>
ggplot(aes(x = long, y = lat, group = group, fill = value)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = percent_format(accuracy = 1),
breaks = 0.01*seq(0, 90, 10),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1),
direction = -1) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Manuf Share")
NUTS1
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 3,
unit == "CP_MEUR",
nace_r2 == "C") |>
select(geo, Geo, value_added_manuf = values) |>
full_join(nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 3,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, value_added_total = values),
by = "geo") |>
mutate(value = value_added_manuf / value_added_total) |>
select(geo, Geo, value) |>
right_join(europe_NUTS1, by = "geo") |>
filter(long >= -15, lat >= 33) |>
ggplot(aes(x = long, y = lat, group = group, fill = value)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = percent_format(accuracy = 1),
breaks = 0.01*seq(0, 90, 10),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Manuf Share")
NUTS0
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 2,
unit == "CP_MEUR",
nace_r2 == "C") |>
select(geo, Geo, value_added_manuf = values) |>
full_join(nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 2,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, value_added_total = values),
by = "geo") |>
mutate(value = value_added_manuf / value_added_total) |>
select(geo, Geo, value) |>
right_join(europe_NUTS0, by = "geo") |>
filter(long >= -15, lat >= 33) |>
ggplot(aes(x = long, y = lat, group = group, fill = value)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = percent_format(accuracy = 1),
breaks = 0.01*seq(0, 90, 10),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Manuf Share")
Agriculture Share
NUTS2
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 4,
unit == "CP_MEUR",
nace_r2 == "A") |>
select(geo, Geo, value_added_agriculture = values) |>
full_join(nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 4,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, value_added_total = values),
by = "geo") |>
mutate(value = value_added_agriculture / value_added_total) |>
select(geo, Geo, value) |>
right_join(europe_NUTS2, by = "geo") |>
filter(long >= -15, lat >= 33) |>
ggplot(aes(x = long, y = lat, group = group, fill = value)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = percent_format(accuracy = 1),
breaks = 0.01*seq(0, 90, 10),
values = c(0, 0.05, 0.10, 0.15, 0.20, 0.25, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Manuf Share")
NUTS3
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 5,
unit == "CP_MEUR",
nace_r2 == "A") |>
select(geo, Geo, value_added_agriculture = values) |>
full_join(nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 5,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, value_added_total = values),
by = "geo") |>
mutate(value = value_added_agriculture / value_added_total) |>
select(geo, Geo, value) |>
right_join(europe_NUTS3, by = "geo") |>
filter(long >= -15, lat >= 33) |>
ggplot(aes(x = long, y = lat, group = group, fill = value)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = percent_format(accuracy = 1),
breaks = 0.01*seq(0, 90, 10),
values = c(0, 0.05, 0.10, 0.15, 0.20, 0.25, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Agriculture Share")
NUTS1
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 3,
unit == "CP_MEUR",
nace_r2 == "A") |>
select(geo, Geo, value_added_agriculture = values) |>
full_join(nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 3,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, value_added_total = values),
by = "geo") |>
mutate(value = value_added_agriculture / value_added_total) |>
select(geo, Geo, value) |>
right_join(europe_NUTS1, by = "geo") |>
filter(long >= -15, lat >= 33) |>
ggplot(aes(x = long, y = lat, group = group, fill = value)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = percent_format(accuracy = 1),
breaks = 0.01*seq(0, 90, 10),
values = c(0, 0.05, 0.10, 0.15, 0.20, 0.25, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Agriculture Share")
NUTS0
Code
nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 2,
unit == "CP_MEUR",
nace_r2 == "A") |>
select(geo, Geo, value_added_agriculture = values) |>
full_join(nama_10r_3gva |>
filter(time == "2015",
nchar(geo) == 2,
unit == "CP_MEUR",
nace_r2 == "TOTAL") |>
select(geo, value_added_total = values),
by = "geo") |>
mutate(value = value_added_agriculture / value_added_total) |>
select(geo, Geo, value) |>
right_join(europe_NUTS0, by = "geo") |>
filter(long >= -15, lat >= 33) |>
ggplot(aes(x = long, y = lat, group = group, fill = value)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = percent_format(accuracy = 1),
breaks = 0.01*seq(0, 90, 10),
values = c(0, 0.05, 0.10, 0.15, 0.20, 0.25, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Agriculture Share")