NATIONAL_NACE732 - NATIONAL_NACE732

Données - ACOSS

lib_ape

NATIONAL_NACE732 |>
  group_by(lib_ape) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

variable

NATIONAL_NACE732 |>
  group_by(variable) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

variable	Nobs
eff	13780
nb_etab	13780

date

NATIONAL_NACE732 |>
  group_by(date) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

date	Nobs
2006-01-01	1378
2007-01-01	1378
2008-01-01	1378
2009-01-01	1378
2010-01-01	1378
2011-01-01	1378
2012-01-01	1378
2013-01-01	1378
2014-01-01	1378
2015-01-01	1378
2016-01-01	1378
2017-01-01	1378
2018-01-01	1378
2019-01-01	1378
2020-01-01	1378
2021-01-01	1378
2022-01-01	1378
2023-01-01	1378
2024-01-01	1378
2025-01-01	1378

Effectifs par secteurs

NATIONAL_NACE732 |>
  mutate(year = year(date)) |>
  filter(variable == "eff",
         year %in% c(2007, 2012, 2018)) |>
  select(lib_ape, year, value) |>
  spread(year, value) |>
  filter(!is.na(`2018`)) |>
  mutate(`% 2007-2018` = round(100*(`2018`/`2007`- 1), 1),
         `% 2012-2018` = round(100*(`2018`/`2012`- 1),1)) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}