source | dataset | .html | .RData |
---|---|---|---|
eurostat | nrg_d_indq_n | 2024-11-05 | 2024-10-08 |
Disaggregated final energy consumption in industry - quantities by NACE Rev. 2 activity
Data - Eurostat
Info
Data on energy
source | dataset | .html | .RData |
---|---|---|---|
ec | WOB | 2024-09-15 | 2024-08-25 |
eurostat | ei_isen_m | 2024-11-21 | 2024-10-09 |
eurostat | nrg_bal_c | 2023-12-31 | 2024-10-08 |
eurostat | nrg_pc_202 | 2024-11-05 | 2024-10-08 |
eurostat | nrg_pc_203 | 2023-06-11 | 2024-10-08 |
eurostat | nrg_pc_203_c | 2024-11-05 | 2024-10-08 |
eurostat | nrg_pc_203_h | 2024-11-05 | 2024-11-21 |
eurostat | nrg_pc_203_v | 2024-11-05 | 2024-10-08 |
eurostat | nrg_pc_204 | 2024-11-05 | 2024-11-21 |
eurostat | nrg_pc_205 | 2023-06-11 | 2024-10-08 |
fred | energy | 2024-11-21 | 2024-11-21 |
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_COMPILE
LAST_COMPILE |
---|
2024-11-22 |
Last
Code
%>%
nrg_d_indq_n group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
head(1) %>%
print_table_conditional()
time | Nobs |
---|---|
2022 | 144861 |
Info
- Final energy consumption in industry - detailed statistics html
Code
include_graphics("https://ec.europa.eu/eurostat/statistics-explained/images/5/55/Final_energy_consumption_in_the_chemical_and_petrochemical_industry_by_energy_product%2C_EU%2C_2021_%28PJ%29.png")
siec
Code
%>%
nrg_d_indq_n left_join(siec, by = "siec") %>%
group_by(siec, Siec) %>%
summarise(Nobs = n()) %>%
print_table_conditional()
nace_r2
Code
%>%
nrg_d_indq_n left_join(nace_r2, by = "nace_r2") %>%
group_by(nace_r2, Nace_r2) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()
unit
Code
%>%
nrg_d_indq_n left_join(unit, by = "unit") %>%
group_by(unit, Unit) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()
unit | Unit | Nobs |
---|---|---|
TJ_NCV | Terajoule (net calorific value - NCV) | 334736 |
THS_T | Thousand tonnes | 235775 |
TJ_GCV | Terajoule (gross calorific value - GCV) | 56660 |
GWH | Gigawatt-hour | 8629 |
geo
Code
%>%
nrg_d_indq_n 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
%>%
nrg_d_indq_n group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
print_table_conditional()
time | Nobs |
---|---|
2022 | 144861 |
2021 | 144510 |
2020 | 122655 |
2019 | 75268 |
2018 | 74278 |
2017 | 74228 |