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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_21311LJ227

Format

A tibble with 120 rows and 6 variables:

BIL041

Studienanfänger im 1. Hochschulsemester

BIL042

Studienanfänger im 1. Fachsemester

GES

Geschlecht

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 '21311LJ227'. 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_21311LJ227
Number of rows120
Number of columns6
_______________________
Column type frequency:
character3
numeric3
________________________
Group variablesNone

Variable type: character

skim_variablen_missingcomplete_rateminmaxemptyn_uniquewhitespace
GES0144020
NAT0144020
DLAND0122010

Variable type: numeric

skim_variablen_missingcomplete_ratemeansdp0p25p50p75p100hist
SJAHR012007.508.6919932000.02007.52015.002022▇▇▇▇▇
BIL0410122917.8816536.6737006942.018941.535572.2555864▇▁▃▂▂
BIL0420137271.1831431.7644218755.528021.053610.2598348▇▁▃▁▃

Examples

library(labelled)

df_21311LJ227
#> # A tibble: 120 × 6
#>    GES             NAT              DLAND                    SJAHR BIL041 BIL042
#>    <chr+lbl>       <chr+lbl>        <chr+lbl>                <dbl>  <dbl>  <dbl>
#>  1 GESM [männlich] NATA [Ausländer] 05 [Nordrhein-Westfalen]  1993   4532   6199
#>  2 GESM [männlich] NATA [Ausländer] 05 [Nordrhein-Westfalen]  1994   4517   6085
#>  3 GESM [männlich] NATA [Ausländer] 05 [Nordrhein-Westfalen]  1995   4319   5663
#>  4 GESM [männlich] NATA [Ausländer] 05 [Nordrhein-Westfalen]  1996   4325   5664
#>  5 GESM [männlich] NATA [Ausländer] 05 [Nordrhein-Westfalen]  1997   4209   5703
#>  6 GESM [männlich] NATA [Ausländer] 05 [Nordrhein-Westfalen]  1998   4481   6107
#>  7 GESM [männlich] NATA [Ausländer] 05 [Nordrhein-Westfalen]  1999   4787   6472
#>  8 GESM [männlich] NATA [Ausländer] 05 [Nordrhein-Westfalen]  2000   5333   7043
#>  9 GESM [männlich] NATA [Ausländer] 05 [Nordrhein-Westfalen]  2001   6191   7656
#> 10 GESM [männlich] NATA [Ausländer] 05 [Nordrhein-Westfalen]  2002   6848   8706
#> # ℹ 110 more rows