The results below are likely only meaningful to subject matter experts because the source dataset employs abbreviations, jargon and/or otherwise non-obvious labels. You may get in touch to help improve the source data, or you may browse Analyst-2 to find more accessible datasets.

Students at universities and institutes of technology by year, institution, group of fields of study, level of study and sex

(20044167-bundesamt-fur-statistik-bfs)   []

Descriptions of the variables in the CSV file are available in the Appendix.

Data summary

  • File 'master'

    • Table ‘master’ consists of 15,008 data rows along six dimensions: ‘PERIOD’, ‘UNI’, ‘FIELD’, ‘LEVEL’, ‘SEX’ and ‘VALUE’

Size: 434.5 KBSource: data.europa.euLast updated: 2022-01-07 18:35

Quick introduction to this dataset

The quick Introduction provides a quick view into the dataset automatically analyzed by Inspirient.

Most relevant results discovered in this dataset

The most Relevant Insights report presents the 20 most relevant insights automatically selected by Inspirient. The insights were chosen because they have a high dimension priority and highlight a relevant pattern.

Data quality assessment of this dataset

The data Quality Assessment assesses the quality of the input data and prioritizes mitigation steps based on analytical impact and ease of implementation

All insights currently in focus, ranked by relevance

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Creative Commons License

These analysis results by Inspirient GmbH are licensed under a Creative Commons Attribution 4.0 International License in conjunction with the licence of the source dataset.