Cooling and heating degree days by country - monthly data

Data - Eurostat

Author

Info

source	dataset	.html	.RData
eurostat	nrg_chdd_m	2024-11-01	2024-10-09

Data on energy

source	dataset	.html	.RData
ec	WOB	2024-09-15	2024-08-25
eurostat	ei_isen_m	2024-11-05	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_COMPILE

LAST_COMPILE
2024-11-05

Last

Code

nrg_chdd_m %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  head(1) %>%
  print_table_conditional()

time	Nobs
2023M12	58

indic_nrg

Code

nrg_chdd_m %>%
  left_join(indic_nrg, by = "indic_nrg") %>%
  group_by(indic_nrg, Indic_nrg) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

indic_nrg	Indic_nrg	Nobs
CDD	Cooling degree days	15660
HDD	Heating degree days	15660

geo

Code

nrg_chdd_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

nrg_chdd_m %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(time)) %>%
  print_table_conditional()

Heating degree days

Germany

All

Code

nrg_chdd_m %>%
  filter(geo == "DE",
         indic_nrg == "HDD") %>%
  month_to_date %>%
  ggplot + geom_line(aes(x = date, y = values)) +
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2025, 5), "-01-01")),
               labels = date_format("%Y")) + 
  scale_y_continuous(breaks = seq(0, 1000, 100))

2015-

Code

nrg_chdd_m %>%
  filter(geo == "DE",
         indic_nrg == "HDD") %>%
  month_to_date %>%
  filter(date >= as.Date("2015-01-01")) %>%
  ggplot + geom_line(aes(x = date, y = values)) +
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2025, 1), "-01-01")),
               labels = date_format("%Y")) + 
  scale_y_continuous(breaks = seq(0, 1000, 100))