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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_21311LJ225

Format

A tibble with 60 rows and 7 variables:

BIL041

Studienanfänger im 1. Hochschulsemester

BIL042

Studienanfänger im 1. Fachsemester

BIL043

Ausländische Studienanfänger im 1. Hochschulsemester

BIL044

Ausländische Studienanfänger im 1. Fachsemester

GES

Geschlecht

DLAND

Land

SJAHR

Studienjahr

Source

The data in this package was obtained from the Landesdatenbank NRW (retrieved on 2024-05-05) using the code '21311LJ225'. 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

Namedf_21311LJ225
Number of rows60
Number of columns7
_______________________
Column type frequency:
character2
numeric5
________________________
Group variablesNone

Variable type: character

skim_variablen_missingcomplete_rateminmaxemptyn_uniquewhitespace
GES0144020
DLAND0122010

Variable type: numeric

skim_variablen_missingcomplete_ratemeansdp0p25p50p75p100hist
SJAHR012007.508.7319932000.002007.52015.002022▇▇▇▇▇
BIL0410145835.7712179.062914336007.5042222.058038.5064745▇▇▃▃▇
BIL0420174542.3525173.724376951634.2562319.5101748.25113710▇▃▁▂▅
BIL043017991.682977.9937005635.256913.010998.2513350▇▇▂▃▆
BIL0440110013.073769.0444217049.008739.013541.0017297▅▇▂▃▅

Examples

library(labelled)

df_21311LJ225
#> # A tibble: 60 × 7
#>    GES             DLAND                    SJAHR BIL041 BIL042 BIL043 BIL044
#>    <chr+lbl>       <chr+lbl>                <dbl>  <dbl>  <dbl>  <dbl>  <dbl>
#>  1 GESM [männlich] 05 [Nordrhein-Westfalen]  1993  37324  62986   4532   6199
#>  2 GESM [männlich] 05 [Nordrhein-Westfalen]  1994  35061  58916   4517   6085
#>  3 GESM [männlich] 05 [Nordrhein-Westfalen]  1995  32658  51698   4319   5663
#>  4 GESM [männlich] 05 [Nordrhein-Westfalen]  1996  32878  51168   4325   5664
#>  5 GESM [männlich] 05 [Nordrhein-Westfalen]  1997  30961  50428   4209   5703
#>  6 GESM [männlich] 05 [Nordrhein-Westfalen]  1998  30728  50454   4481   6107
#>  7 GESM [männlich] 05 [Nordrhein-Westfalen]  1999  31806  51443   4787   6472
#>  8 GESM [männlich] 05 [Nordrhein-Westfalen]  2000  34823  53849   5333   7043
#>  9 GESM [männlich] 05 [Nordrhein-Westfalen]  2001  38755  58127   6191   7656
#> 10 GESM [männlich] 05 [Nordrhein-Westfalen]  2002  40559  59970   6848   8706
#> # ℹ 50 more rows