Skip to content

Raw data and Google Colab with data cleaning, aggregation, descriptive analysis and visualizations of the JUGA survey 2022.

License

Notifications You must be signed in to change notification settings

GeneralGrube/JUGA_survey

Repository files navigation

JUGA_survey

Raw data and Google Colab with data cleaning, aggregation, descriptive analysis and visualizations of the JUGA survey 2022.

Publication Title: How we achieve satisfaction in training – A German-wide survey on preferred training conditions among trainers and trainees for board certification in gastroenterology

Titel: Wie erreichen wir Zufriedenheit bei der Weiterbildung – Deutschlandweite Umfrage zu bevorzugten Weiterbildungsbedingungen zum Facharzt für Gastroenterologie aus Sicht von Ausbilder:innen und Auszubildenden

Authors: Sophie Schlosser, Jakob Garbe, Karim Hamesch, Stavros Dimitriadis, Jonas Jaromir Staudacher

Bibliography: Z Gastroenterol 2023;1–11 DOI 10.1055/a-2119-3069

  • Raw data file in this repository: data_JuGa_final.xlsx
  • Aggegated Data for Overall and Subgroup responses is stored in the mastertable files.
  • Question and Response Coding is explained in the "Translations_of_survey_questions" document.
  • The Google Colab document can be accessed via the file manager.

Notice: Most of the code was annotated in German. Should questions arise, please contact jakob.garbe@uk-halle.de



License: The Code and Raw Data is published under GNU Public License 3.0. See further information in the LICENSE.md file. Figures are copyrighted. The copyright may lie with the accepting journal of this manuscript. Reproduction of figures needs approval of the copyright owner.


About

Raw data and Google Colab with data cleaning, aggregation, descriptive analysis and visualizations of the JUGA survey 2022.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published