21311LJ226 - Studienanfänger im 1. Hochschulsemester, Studienanfänger im 1. Fachsemester, Nationalität, Land, Studienjahr

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).

Usage

df_21311LJ226

Format

A tibble with 60 rows and 5 variables:

BIL041: Studienanfänger im 1. Hochschulsemester
BIL042: Studienanfänger im 1. Fachsemester
NAT: Nationalität
DLAND: Land
SJAHR: Studienjahr

Source

The data in this package was obtained from the Landesdatenbank NRW (retrieved on 2024-05-05) using the code '21311LJ226'. 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_21311LJ226
Number of rows	60
Number of columns	5
_______________________
Column type frequency:
character	2
numeric	3
________________________
Group variables	None

Variable type: character

skim_variable	n_missing	complete_rate	min	max	empty	n_unique	whitespace
NAT	0	1	4	4	0	2	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	8.73	1993	2000.00	2007.5	2015.00	2022	▇▇▇▇▇
BIL041	0	1	45835.77	33097.39	8232	13782.25	38141.5	68433.25	106260	▇▁▃▂▂
BIL042	0	1	74542.35	62962.39	10620	17681.50	58561.0	101428.00	191390	▇▁▅▁▃

Examples

library(labelled)

df_21311LJ226
#> # A tibble: 60 × 5
#>    NAT              DLAND                    SJAHR BIL041 BIL042
#>    <chr+lbl>        <chr+lbl>                <dbl>  <dbl>  <dbl>
#>  1 NATA [Ausländer] 05 [Nordrhein-Westfalen]  1993   8232  10620
#>  2 NATA [Ausländer] 05 [Nordrhein-Westfalen]  1994   8728  10853
#>  3 NATA [Ausländer] 05 [Nordrhein-Westfalen]  1995   8576  10687
#>  4 NATA [Ausländer] 05 [Nordrhein-Westfalen]  1996   8842  10938
#>  5 NATA [Ausländer] 05 [Nordrhein-Westfalen]  1997   8745  11305
#>  6 NATA [Ausländer] 05 [Nordrhein-Westfalen]  1998   9507  12278
#>  7 NATA [Ausländer] 05 [Nordrhein-Westfalen]  1999  10035  12992
#>  8 NATA [Ausländer] 05 [Nordrhein-Westfalen]  2000  11069  14094
#>  9 NATA [Ausländer] 05 [Nordrhein-Westfalen]  2001  13008  15804
#> 10 NATA [Ausländer] 05 [Nordrhein-Westfalen]  2002  13703  17131
#> # ℹ 50 more rows