Emploi, chômage, revenus du travail - Edition 2023
Data - Insee
Info
Données sur les salaires
source | dataset | .html | .RData |
---|---|---|---|
dares | les-indices-de-salaire-de-base | 2024-11-04 | 2024-09-21 |
insee | CNA-2014-RDB | 2024-11-09 | 2024-11-09 |
insee | CNT-2014-CSI | 2024-11-09 | 2024-11-09 |
insee | ECRT2023 | 2024-11-05 | 2023-06-30 |
insee | if230 | 2024-11-05 | 2021-12-04 |
insee | INDICE-TRAITEMENT-FP | 2024-11-05 | 2024-11-09 |
insee | ir_salaires_SL_23_csv | 2024-11-05 | NA |
insee | ir_salaires_SL_csv | 2024-11-05 | NA |
insee | SALAIRES-ACEMO | 2024-11-05 | 2024-11-09 |
insee | SALAIRES-ACEMO-2017 | 2024-11-05 | 2024-11-09 |
insee | SALAIRES-ANNUELS | 2024-11-05 | 2024-11-09 |
insee | t_7401 | 2024-10-18 | 2024-10-18 |
insee | t_salaire_val | 2024-11-05 | 2024-09-02 |
variable
Code
%>%
ECRT2023 group_by(variable) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()
variable | Nobs |
---|---|
Ensemble | 52 |
Cadres y c, chefs d'entreprises | 26 |
Commerce | 26 |
Construction | 26 |
Employés | 26 |
Ensemble des services | 26 |
Femmes | 26 |
Hommes | 26 |
Industrie | 26 |
Ouvriers | 26 |
Professions intermédiaires | 26 |
Services | 26 |
Services aux entreprises | 26 |
Services aux particuliers | 26 |
Services mixtes | 26 |
Transport et entreposage | 26 |
date
Code
%>%
ECRT2023 group_by(date) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()
date | Nobs |
---|---|
1996-01-01 | 17 |
1997-01-01 | 17 |
1998-01-01 | 17 |
1999-01-01 | 17 |
2000-01-01 | 17 |
2001-01-01 | 17 |
2002-01-01 | 17 |
2003-01-01 | 17 |
2004-01-01 | 17 |
2005-01-01 | 17 |
2006-01-01 | 17 |
2007-01-01 | 17 |
2008-01-01 | 17 |
2009-01-01 | 17 |
2010-01-01 | 17 |
2011-01-01 | 17 |
2012-01-01 | 17 |
2013-01-01 | 17 |
2014-01-01 | 17 |
2015-01-01 | 17 |
2016-01-01 | 17 |
2017-01-01 | 17 |
2018-01-01 | 17 |
2019-01-01 | 17 |
2020-01-01 | 17 |
2021-01-01 | 17 |
F24
Tous
Code
%>%
ECRT2023 filter(sheet == "F24") %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("") +
#scale_color_manual(values = viridis(5)[1:4]) +
geom_line(aes(x = date, y = value, color = variable)) +
theme(legend.title = element_blank(),
legend.position = c(0.3, 0.89)) +
scale_x_date(breaks = seq(1950, 2300, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(100, 20000, 10))
F25
Tous
Euros
Code
%>%
ECRT2023 filter(sheet == "F25") %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("") +
#scale_color_manual(values = viridis(8)[1:7]) +
geom_line(aes(x = date, y = value, color = variable)) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2300, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(1000, 20000, 200),
labels = scales::dollar_format(accuracy = 1, pre = "", su = "€"))
base 100
Code
%>%
ECRT2023 filter(sheet == "F25") %>%
group_by(variable) %>%
mutate(value = 100*value/value[1]) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("") +
#scale_color_manual(values = viridis(8)[1:7]) +
geom_line(aes(x = date, y = value, color = variable)) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.8)) +
scale_x_date(breaks = seq(1950, 2300, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(100, 200, 2))
F26
Tous
Euros
Code
%>%
ECRT2023 filter(sheet == "F26") %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("") +
#scale_color_manual(values = viridis(8)[1:7]) +
geom_line(aes(x = date, y = value, color = variable)) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2300, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(1000, 20000, 200),
labels = scales::dollar_format(accuracy = 1, pre = "", su = "€"))
base 100
Code
%>%
ECRT2023 filter(sheet == "F26") %>%
group_by(variable) %>%
mutate(value = 100*value/value[1]) %>%
ggplot(.) + theme_minimal() + xlab("") + ylab("") +
#scale_color_manual(values = viridis(8)[1:7]) +
geom_line(aes(x = date, y = value, color = variable)) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.8)) +
scale_x_date(breaks = seq(1950, 2300, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(100, 200, 2))