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naturalisation-trends-germany-insights

This project explores naturalization trends in Germany from 2010 to 2022 using data from the official source (www-genesis.destatis.de). The goal of this analysis is to gain insight into the cultural diversity and integration of naturalized citizens in Germany.

https://github.com/mohamedboulhen/naturalisation-trends-germany-insights

Science Score: 44.0%

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Repository

This project explores naturalization trends in Germany from 2010 to 2022 using data from the official source (www-genesis.destatis.de). The goal of this analysis is to gain insight into the cultural diversity and integration of naturalized citizens in Germany.

Basic Info
  • Host: GitHub
  • Owner: MohamedBoulhen
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 1.31 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme License Citation

README.md

Naturalisation Trends Germany

Naturalisation Trends in Germany

Overview:

This project explores naturalization trends in Germany from 2010 to 2022 using data from the official source (www-genesis.destatis.de). The goal of this analysis is to gain insight into the cultural diversity and integration of naturalized citizens in Germany.

Usage Guide:

  1. Clone the repository.
  2. Ensure you have Python and Jupyter Notebook installed.
  3. Open the Jupyter Notebook file Naturalisation_Trends_Germany.ipynb.
  4. Follow the computational narrative to explore the naturalization trends in Germany.
  5. For any questions or issues, feel free to contact Mohamed Boulhen at mohamed.boulhen@uni-potsdam.de

Data:

The project data is stored in the data/ directory. It includes information on naturalizations in Germany, including the year of naturalization, country of origin, gender, and age group of naturalized citizens.

Analysis:

The project analysis is contained in Jupyter Notebooks located in the src/ directory. Each notebook focuses on a specific aspect of the analysis, such as trend analysis, regional distribution, gender differences, and age demographics.

Contact Information:

  • Mohamed Boulhen
  • mohamed.boulhen@uni-potsdam.de

Feel free to reach out if you have any questions or suggestions regarding the project.

License:

This project is licensed under the MIT License (LICENSE.md). See the (LICENSE.md) file for more details.

Citation:

For citation information, please refer to the Citation File (CITATION.cff).

Owner

  • Login: MohamedBoulhen
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.0.0
message: If you use this software, please cite it as below.
title: Naturalisation Trends in Germany
authors:
  - family-names: Boulhen
    given-names: Mohamed
    email: mohamed.boulhen@uni-potsdam.de
license: MIT
version: 1.0
date-released: 2024-05-05
repository-code: https://gitup.uni-potsdam.de/boulhen/citizenshipger_trends

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