21311LJ316 - Studienanfänger im 1. Hochschulsemester, Studienanfänger im 1. Fachsemester, Geschlecht, Altersgruppen (unter 18, 1-Jahres-Schritte, 35 und mehr), Land, Studienjahr
Source:R/df_21311LJ316.R
df_21311LJ316.Rd
The table is sourced from the Landesdatenbank NRW from the series 2 Bildung, Sozialleistungen, Gesundheit, Rechtspflege (Education, Social Benefits, Health, Administration of Justice) -> 21 Bildung und Kultur (Education and Culture) -> 213 Hochschulen (Universities) -> 21311 Statistik der Studenten (Student Statistics).
Format
A tibble with 1.140 rows and 6 variables:
- BIL041
Studienanfänger im 1. Hochschulsemester
- BIL042
Studienanfänger im 1. Fachsemester
- GES
Geschlecht
- ALTNW09
Altersgruppen (unter 18, 1-Jahres-Schritte, 35 und mehr)
- DLAND
Land
- SJAHR
Studienjahr
Source
The data in this package was obtained from the Landesdatenbank NRW (retrieved on 2024-05-05) using the code '21311LJ316'. The licence for data obtained from the Landesdatenbank NRW / Destatis is available here (see paragraph 2 section 2): Data licence Germany – attribution – Version 2.0. Paragraph 2 section 3 requires including a reference to the dataset (URI) if available. To the best of my knowledge, the Landesdatenbank NRW does not yet provide Uniform Resource Identifiers (URI) to identify their tables.
Paragraph 3 stipulates that 'changes, editing, new designs or other amendments must be marked as such in the source note'. Compared to the raw data, the following changes were made: Compared to the raw data, the following changes were made: (1) technical columns ending in "QUAL", "ERR", or "LOCK" were removed, and (2) variable and value labels were added to each table using the labelled package. The code for all these transformations is available through this package.
Details
The following summary is automatically generated using skimr::skim()
Table: Data summary
Name | df_21311LJ316 |
Number of rows | 1140 |
Number of columns | 6 |
_______________________ | |
Column type frequency: | |
character | 3 |
numeric | 3 |
________________________ | |
Group variables | None |
Variable type: character
skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace |
GES | 0 | 1 | 4 | 4 | 0 | 2 | 0 |
ALTNW09 | 0 | 1 | 6 | 9 | 0 | 19 | 0 |
DLAND | 0 | 1 | 2 | 2 | 0 | 1 | 0 |
Variable type: numeric
skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
SJAHR | 0 | 1 | 2007.50 | 8.66 | 1993 | 2000 | 2007.5 | 2015.00 | 2022 | ▇▇▇▇▇ |
BIL041 | 0 | 1 | 2412.41 | 3161.34 | 17 | 400 | 965.5 | 3020.25 | 16279 | ▇▁▁▁▁ |
BIL042 | 0 | 1 | 3923.28 | 3546.64 | 16 | 1140 | 2620.0 | 6104.50 | 17085 | ▇▂▂▁▁ |
Examples
library(labelled)
df_21311LJ316
#> # A tibble: 1,140 × 6
#> GES ALTNW09 DLAND SJAHR BIL041 BIL042
#> <chr+lbl> <chr+lbl> <chr+lbl> <dbl> <dbl> <dbl>
#> 1 GESM [männlich] ALT000B18 [unter 18 Jahre] 05 [Nordrhein… 1993 48 53
#> 2 GESM [männlich] ALT000B18 [unter 18 Jahre] 05 [Nordrhein… 1994 17 17
#> 3 GESM [männlich] ALT000B18 [unter 18 Jahre] 05 [Nordrhein… 1995 22 22
#> 4 GESM [männlich] ALT000B18 [unter 18 Jahre] 05 [Nordrhein… 1996 25 27
#> 5 GESM [männlich] ALT000B18 [unter 18 Jahre] 05 [Nordrhein… 1997 18 19
#> 6 GESM [männlich] ALT000B18 [unter 18 Jahre] 05 [Nordrhein… 1998 17 17
#> 7 GESM [männlich] ALT000B18 [unter 18 Jahre] 05 [Nordrhein… 1999 29 30
#> 8 GESM [männlich] ALT000B18 [unter 18 Jahre] 05 [Nordrhein… 2000 23 26
#> 9 GESM [männlich] ALT000B18 [unter 18 Jahre] 05 [Nordrhein… 2001 17 16
#> 10 GESM [männlich] ALT000B18 [unter 18 Jahre] 05 [Nordrhein… 2002 22 23
#> # ℹ 1,130 more rows