Indices de prix et cours des matières premières

Data - INSEE

Info

source dataset .html .RData
insee IPPMP-NF 2024-10-29 2024-11-05

Informations

Données sur l’énergie

source dataset .html .RData
cre TRV_electricite 2024-10-27 2024-10-07
cre TRV_gaz 2024-10-07 2021-09-05
insee econ-gen-solde-ech-ext-2 2024-11-05 2023-11-01
insee IPPMP-NF 2024-10-29 2024-11-05
insee t_5404 2024-10-29 2021-08-01
sdes bilan_energetique 2024-10-07 2024-10-07

Data on energy

Code
load_data("energy.RData")
energy %>%
  source_dataset_file_updates()
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_DOWNLOAD

Code
tibble(LAST_DOWNLOAD = as.Date(file.info("~/Library/Mobile\ Documents/com~apple~CloudDocs/website/data/insee/IPPMP-NF.RData")$mtime)) %>%
  print_table_conditional()
LAST_DOWNLOAD
2024-11-05

Last

Code
`IPPMP-NF` %>%
  group_by(TIME_PERIOD) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(TIME_PERIOD)) %>%
  head(1) %>%
  print_table_conditional()
TIME_PERIOD Nobs
2024-09 134

TITLE_FR

Code
`IPPMP-NF` %>%
  group_by(IDBANK, TITLE_FR) %>%
  summarise(Nobs = n(),
            date1 = first(TIME_PERIOD),
            date2 = last(TIME_PERIOD)) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

BASIND

Code
`IPPMP-NF` %>%
  left_join(BASIND, by = "BASIND") %>%
  group_by(BASIND, Basind) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
BASIND Basind Nobs
SO Sans objet 36822
2010 2010 28401
2015 2015 379

DEVISE

Code
`IPPMP-NF` %>%
  left_join(DEVISE, by = "DEVISE") %>%
  group_by(DEVISE, Devise) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
DEVISE Devise Nobs
SO Sans objet 63111
COUR_NORV NA 417
DA Dollar australien 417
LIT Livre sterling 417
USD Dollar US 417
YUAN NA 417
DM Dollar malais 406

MONNAIE

Code
`IPPMP-NF` %>%
  left_join(MONNAIE, by = "MONNAIE") %>%
  group_by(MONNAIE, Monnaie) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
MONNAIE Monnaie Nobs
0048 Dollar US 17369
E Prix en euros 14530
D Prix en devises 11990
SO Sans objet 9349
0151 Cent US 5387
0207 Euro 3276
0201 Euro avec rétropolation en euro converti à taux fixe 1657
0147 Yuan chinois 1231
0014 Couronne norvégienne 417
0121 Ringgit malaisien 396

MATIERES_PREMIERES

Code
`IPPMP-NF` %>%
  left_join(MATIERES_PREMIERES, by = "MATIERES_PREMIERES") %>%
  group_by(MATIERES_PREMIERES, Matieres_premieres) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

NOUVEAU_FOURNISSEUR

Code
`IPPMP-NF` %>%
  left_join(NOUVEAU_FOURNISSEUR, by = "NOUVEAU_FOURNISSEUR") %>%
  group_by(NOUVEAU_FOURNISSEUR, Nouveau_fournisseur) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
NOUVEAU_FOURNISSEUR Nouveau_fournisseur Nobs
NOUVEAU Nouveau 65368
SO Sans objet 234

INDICATEUR

Code
`IPPMP-NF` %>%
  left_join(INDICATEUR, by = "INDICATEUR") %>%
  group_by(INDICATEUR, Indicateur) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
INDICATEUR Indicateur Nobs
CIMP Cours internationaux des matières premières 34710
IPIMPI Indices des prix internationaux des matières importées 19052
IIEMP Indices internationaux en euros des matières premières 9349
CDECMPI Cours des devises étrangères 2491

NATURE

Code
`IPPMP-NF` %>%
  left_join(NATURE, by = "NATURE") %>%
  group_by(NATURE, Nature) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()
NATURE Nature Nobs
VALEUR_ABSOLUE Valeur absolue 36822
INDICE Indice 28780

TIME_PERIOD

Code
`IPPMP-NF` %>%
  group_by(TIME_PERIOD) %>%
  summarise(Nobs = n()) %>%
  arrange(desc(TIME_PERIOD)) %>%
  print_table_conditional()

Prix du pétrole

Valeur

All

Code
`IPPMP-NF` %>%
  filter(INDICATEUR == "CIMP",
         MATIERES_PREMIERES == "41") %>%
  left_join(MATIERES_PREMIERES, by = "MATIERES_PREMIERES") %>%
  left_join(MONNAIE, by = "MONNAIE") %>%
  month_to_date %>%
  ggplot + theme_minimal() + xlab("") + ylab("Pétrole brut  Brent (Londres) – par baril") +
  geom_line(aes(x = date, y = OBS_VALUE, color = Monnaie)) +
  scale_x_date(breaks = seq(1990, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = seq(0, 200, 10)) +
  theme(legend.position = c(0.3, 0.9),
        legend.title = element_blank())

Log

Tous

Code
`IPPMP-NF` %>%
  filter(INDICATEUR == "CIMP",
         MATIERES_PREMIERES == "41") %>%
  left_join(MATIERES_PREMIERES, by = "MATIERES_PREMIERES") %>%
  left_join(MONNAIE, by = "MONNAIE") %>%
  month_to_date %>%
  ggplot + theme_minimal() + xlab("") + ylab("Pétrole brut  Brent (Londres) – par baril") +
  geom_line(aes(x = date, y = OBS_VALUE, color = Monnaie)) +
  scale_x_date(breaks = seq(1990, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 200, 10)) +
  theme(legend.position = c(0.3, 0.9),
        legend.title = element_blank())

2004-

Code
`IPPMP-NF` %>%
  filter(INDICATEUR == "CIMP",
         MATIERES_PREMIERES == "41") %>%
  left_join(MATIERES_PREMIERES, by = "MATIERES_PREMIERES") %>%
  left_join(MONNAIE, by = "MONNAIE") %>%
  month_to_date %>%
  filter(date >= as.Date("2004-01-01")) %>%
  ggplot + theme_minimal() + xlab("") + ylab("Pétrole brut  Brent (Londres) – par baril") +
  geom_line(aes(x = date, y = OBS_VALUE, color = Monnaie)) +
  scale_x_date(breaks = seq(1990, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 200, 10)) +
  theme(legend.position = c(0.3, 0.2),
        legend.title = element_blank())

2010-

Code
`IPPMP-NF` %>%
  filter(INDICATEUR == "CIMP",
         MATIERES_PREMIERES == "41") %>%
  left_join(MATIERES_PREMIERES, by = "MATIERES_PREMIERES") %>%
  left_join(MONNAIE, by = "MONNAIE") %>%
  month_to_date %>%
  filter(date >= as.Date("2004-01-01")) %>%
  ggplot + theme_minimal() + xlab("") + ylab("Pétrole brut  Brent (Londres) – par baril") +
  geom_line(aes(x = date, y = OBS_VALUE, color = Monnaie)) +
  scale_x_date(breaks = seq(1990, 2100, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_log10(breaks = seq(0, 200, 10)) +
  theme(legend.position = c(0.3, 0.2),
        legend.title = element_blank(),
        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))

2 years

Code
`IPPMP-NF` %>%
  filter(INDICATEUR == "CIMP",
         MATIERES_PREMIERES == "41") %>%
  left_join(MATIERES_PREMIERES, by = "MATIERES_PREMIERES") %>%
  left_join(MONNAIE, by = "MONNAIE") %>%
  month_to_date %>%
  filter(date >= Sys.Date() - years(2)) %>%
  ggplot + theme_minimal() + xlab("") + ylab("Pétrole brut  Brent (Londres) – par baril") +
  geom_line(aes(x = date, y = OBS_VALUE, color = Monnaie)) +
  scale_x_date(breaks = "2 months",
               labels = date_format("%b %Y")) +
  scale_y_log10(breaks = seq(0, 200, 10)) +
  theme(legend.position = c(0.3, 0.2),
        legend.title = element_blank(),
        axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
  geom_text(aes(x = date, y = OBS_VALUE, label = round(OBS_VALUE, 1), color = Monnaie), 
                  fontface ="plain", size = 3)