source | dataset | Title | .html | .rData |
---|---|---|---|---|
insee | ENQ-CONJ-MENAGES | Conjoncture auprès des ménages - ENQ-CONJ-MENAGES | 2025-10-10 | 2025-10-09 |
Conjoncture auprès des ménages - ENQ-CONJ-MENAGES
Data - INSEE
Info
TITLE_FR
Code
`ENQ-CONJ-MENAGES` %>%
group_by(IDBANK, TITLE_FR) %>%
summarise(Nobs = n(),
date1 = first(TIME_PERIOD),
date2 = last(TIME_PERIOD)) %>%
arrange(-Nobs) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
INDICATEUR
Code
`ENQ-CONJ-MENAGES` %>%
left_join(INDICATEUR, by = "INDICATEUR") %>%
group_by(INDICATEUR, Indicateur) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
UNIT_MEASURE
Code
`ENQ-CONJ-MENAGES` %>%
group_by(UNIT_MEASURE) %>%
summarise(Nobs = n()) %>%
if (is_html_output()) print_table(.) else .} {
UNIT_MEASURE | Nobs |
---|---|
POURCENT | 459 |
SO | 19159 |
Confiance des ménages
Tous
Code
`ENQ-CONJ-MENAGES` %>%
filter(INDICATEUR %in% c("IND_SYNT_CONF")) %>%
month_to_date() %>%
+ theme_minimal() + xlab("") + ylab("Confiance des ménages") +
ggplot geom_line(aes(x = date, y = OBS_VALUE)) +
scale_x_date(breaks = seq(1960, 20100, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
theme(legend.position = c(0.15, 0.9),
legend.title = element_blank()) +
scale_y_continuous(breaks = seq(-500, 200, 5))
2005-
Code
`ENQ-CONJ-MENAGES` %>%
filter(INDICATEUR %in% c("IND_SYNT_CONF")) %>%
month_to_date() %>%
filter(date >= as.Date("2005-01-01")) %>%
+ theme_minimal() + xlab("") + ylab("Confiance des ménages") +
ggplot geom_line(aes(x = date, y = OBS_VALUE)) +
scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
theme(legend.position = c(0.15, 0.9),
legend.title = element_blank()) +
scale_y_continuous(breaks = seq(-500, 200, 5))