Energy - monthly data
Data - Eurostat
Info
Data on energy
source | dataset | .html | .RData |
---|---|---|---|
ec | WOB | 2024-09-15 | 2024-08-25 |
eurostat | ei_isen_m | 2024-11-01 | 2024-10-09 |
eurostat | nrg_bal_c | 2023-12-31 | 2024-10-08 |
eurostat | nrg_pc_202 | 2024-11-01 | 2024-10-08 |
eurostat | nrg_pc_203 | 2023-06-11 | 2024-10-08 |
eurostat | nrg_pc_203_c | 2024-11-01 | 2024-10-08 |
eurostat | nrg_pc_203_h | 2024-11-01 | 2024-11-05 |
eurostat | nrg_pc_203_v | 2024-11-01 | 2024-10-08 |
eurostat | nrg_pc_204 | 2024-11-01 | 2024-11-05 |
eurostat | nrg_pc_205 | 2023-06-11 | 2024-10-08 |
fred | energy | 2024-11-01 | 2024-11-01 |
iea | world_energy_balances_highlights_2022 | 2024-06-20 | 2023-04-24 |
wb | CMO | 2024-06-20 | 2024-05-23 |
wdi | EG.GDP.PUSE.KO.PP.KD | 2024-09-18 | 2024-09-18 |
wdi | EG.USE.PCAP.KG.OE | 2024-09-18 | 2024-09-18 |
yahoo | energy | 2024-11-05 | 2024-11-05 |
Last
Code
%>%
ei_isen_m group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
head(2) %>%
print_table_conditional()
time | Nobs |
---|---|
2024M09 | 3 |
2024M08 | 129 |
indic
French
Code
load_data("eurostat/indic_fr.RData")
%>%
ei_isen_m left_join(indic, by = "indic") %>%
group_by(indic, Indic) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) print_table(.) else .} {
indic | Indic | Nobs |
---|---|---|
IS-CEL-GWH | Consommation d'électricité - GWh | 6690 |
IS-IEL-GWH | Importations d'électricité GWh | 6690 |
IS-CNG-TJ | Consommation totale de gaz naturel, TJ (GCV) | 6575 |
IS-IDC-T | Livraisons intérieures de charbon brun - 1000t | 6569 |
IS-ING-TJ | Importations de gaz naturel, TJ (GCV) | 6535 |
IS-IDMG-T | Livraisons intérieures d'essence moteur - 1000t | 6449 |
IS-IDJF-T | Livraisons intérieures de carburéacteur type kérosène - 1000t | 6441 |
IS-ICO-T | Importations de pétrole brut - 1000 t | 6279 |
IS-PNG-TJ | Production de gas naturel, TJ (GVC) | 6267 |
IS-IDMS-T | Livraisons intérieures d'essence pour moteurs - 1000t | 4530 |
IS-IDGD-T | Livraisons intérieures de gas-oil - 1000t | 4528 |
IS-ROGD-T | Production de gasoil des raffineries - 1000t | 4378 |
IS-ROMS-T | Production d'essence pour moteur des raffineries - 1000t | 4377 |
IS-PEL-GWH | Production d'électricité - GWh | 3707 |
English
Code
load_data("eurostat/indic.RData")
%>%
ei_isen_m left_join(indic, by = "indic") %>%
group_by(indic, Indic) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) print_table(.) else .} {
indic | Indic | Nobs |
---|---|---|
IS-CEL-GWH | Consumption of electricity - GWh | 6690 |
IS-IEL-GWH | Imports of electricity - GWh | 6690 |
IS-CNG-TJ | Total consumption of natural gas, TJ (GCV) | 6575 |
IS-IDC-T | Inland deliveries of brown coal - 1000t | 6569 |
IS-ING-TJ | Imports of natural gas, TJ (GCV) | 6535 |
IS-IDMG-T | Inland deliveries of motor gasoline - 1000t | 6449 |
IS-IDJF-T | Inland deliveries of kerosene-type jet fuel - 1000t | 6441 |
IS-ICO-T | Imports of crude oil - 1000t | 6279 |
IS-PNG-TJ | Production of natural gas, TJ (GCV) | 6267 |
IS-IDMS-T | Inland deliveries of motor spirit - 1000t | 4530 |
IS-IDGD-T | Inland deliveries of gas/diesel oil - 1000t | 4528 |
IS-ROGD-T | Refinery output of gas/diesel oil - 1000t | 4378 |
IS-ROMS-T | Refinery output of motor spirit - 1000t | 4377 |
IS-PEL-GWH | Production of electricity - GWh | 3707 |
geo
Code
%>%
ei_isen_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
%>%
ei_isen_m group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
France, Germany, Italy, Spain
Electricity
Consumption
Code
%>%
ei_isen_m filter(geo %in% c("FR", "DE", "IT", "ES"),
%in% c("IS-CEL-GWH")) %>%
indic left_join(geo, by = "geo") %>%
%>%
month_to_date left_join(colors, by = c("Geo" = "country")) %>%
+ geom_line(aes(x = date, y = values, color = color)) +
ggplot scale_color_identity() + theme_minimal() + add_4flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2025, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("")
Imports
Code
%>%
ei_isen_m filter(geo %in% c("FR", "DE", "IT", "ES"),
%in% c("IS-IEL-GWH")) %>%
indic left_join(geo, by = "geo") %>%
%>%
month_to_date left_join(colors, by = c("Geo" = "country")) %>%
+ geom_line(aes(x = date, y = values, color = color)) +
ggplot scale_color_identity() + theme_minimal() + add_4flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2025, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("")
Production
Code
%>%
ei_isen_m filter(geo %in% c("FR", "DE", "IT", "ES"),
%in% c("IS-PEL-GWH")) %>%
indic left_join(geo, by = "geo") %>%
%>%
month_to_date left_join(colors, by = c("Geo" = "country")) %>%
+ geom_line(aes(x = date, y = values, color = color)) +
ggplot scale_color_identity() + theme_minimal() + add_4flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2025, 1), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("")
Natural Gas
Consumption
Code
%>%
ei_isen_m filter(geo %in% c("FR", "DE", "IT", "ES"),
%in% c("IS-CNG-TJ")) %>%
indic left_join(geo, by = "geo") %>%
%>%
month_to_date left_join(colors, by = c("Geo" = "country")) %>%
+ geom_line(aes(x = date, y = values, color = color)) +
ggplot scale_color_identity() + theme_minimal() + add_4flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2025, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("")
Imports
Code
%>%
ei_isen_m filter(geo %in% c("FR", "DE", "IT", "ES"),
%in% c("IS-ING-TJ")) %>%
indic left_join(geo, by = "geo") %>%
%>%
month_to_date left_join(colors, by = c("Geo" = "country")) %>%
+ geom_line(aes(x = date, y = values, color = color)) +
ggplot scale_color_identity() + theme_minimal() + add_4flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2025, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("")
Production
Code
%>%
ei_isen_m filter(geo %in% c("FR", "DE", "IT", "ES"),
%in% c("IS-PNG-TJ")) %>%
indic left_join(geo, by = "geo") %>%
%>%
month_to_date left_join(colors, by = c("Geo" = "country")) %>%
+ geom_line(aes(x = date, y = values, color = color)) +
ggplot scale_color_identity() + theme_minimal() + add_4flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2025, 1), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("")