Code
%>%
t_5203 group_by(sector, Sector) %>%
summarise(Nobs = n()) %>%
print_table_conditional()
Data - INSEE
%>%
t_5203 group_by(sector, Sector) %>%
summarise(Nobs = n()) %>%
print_table_conditional()
%>%
t_5203 %>%
year_to_date2 filter(sector %in% c("A10.LZ", "TOTAL")) %>%
ggplot(.) + theme_minimal() + ylab("") + xlab("") +
geom_line(aes(x = date, y = value, color = Sector, linetype = Sector)) +
theme(legend.title = element_blank(),
legend.position = c(0.6, 0.8)) +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_color_manual(values = viridis(4)[1:3]) +
scale_y_continuous(breaks = seq(0, 200, 10))
%>%
t_5203 %>%
year_to_date2 filter(sector %in% c("A10.LZ", "TOTAL")) %>%
filter(date >= as.Date("1990-01-01")) %>%
group_by(sector) %>%
mutate(value = 100*value/value[date == as.Date("1990-01-01")]) %>%
ggplot(.) + theme_minimal() + ylab("") + xlab("") +
geom_line(aes(x = date, y = value, color = Sector)) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.8)) +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_color_manual(values = viridis(3)[1:2]) +
scale_y_continuous(breaks = seq(0, 200, 10))
%>%
t_5203 %>%
year_to_date2 filter(sector %in% c("A10.LZ", "TOTAL")) %>%
ggplot(.) + theme_minimal() + ylab("") + xlab("") +
geom_line(aes(x = date, y = value, color = Sector, linetype = Sector)) +
theme(legend.title = element_blank(),
legend.position = c(0.6, 0.8)) +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_color_manual(values = viridis(4)[1:3]) +
scale_y_log10(breaks = seq(0, 200, 10))
%>%
t_5203 %>%
year_to_date2 filter(sector %in% c("A10.LZ", "TOTAL")) %>%
filter(date >= as.Date("1990-01-01")) %>%
group_by(sector) %>%
mutate(value = 100*value/value[date == as.Date("1990-01-01")]) %>%
ggplot(.) + theme_minimal() + ylab("Déflateur de la consommation") + xlab("") +
geom_line(aes(x = date, y = value, color = Sector)) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.8)) +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_color_manual(values = viridis(3)[1:2]) +
scale_y_log10(breaks = seq(0, 200, 10))