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📊 Data Visualization and Analysis Repository

Welcome to my Data Visualization and Analysis Repository!   This repository contains a collection of data visualization and analysis projects created using open-source datasets.  

All data used in this repository has been sourced from publicly available, open sources and is intended solely for educational purposes.

Feel free to contribute or share your feedback to improve the projects.


📂 Repository Contents

The top-level repository contains the following directories and notebooks:

  • Turkiye election_datas/ - Contains datasets and a notebook (election.ipynb) analysing the 2023 Turkish presidential election. The notebook cleans poorly labelled election results and merges them with provincial IQ and education-duration data to study how socio-economic indicators relate to candidates' vote shares. All analyses are non-political and are intended for educational purposes only.
  • Turkiye mean iq, education and divorce rates/ - Includes several CSV/Excel files on provincial IQ scores, education duration and divorce rates, plus a notebook (behavior.ipynb). The notebook explores correlations between average IQ, gender-parity indices, literacy rates and divorce rates across provinces.
  • basic-visualizations-for-student-lifestyle-data.ipynb - A Kaggle-style notebook that loads a student lifestyle dataset and produces basic visualisations. The notebook uses heatmaps and scatter plots to examine relationships among study hours, GPA, stress levels, sleep and physical activity.
  • data-cleaning-challenge-handling-missing-values.ipynb - Adapts Day 1 of Kaggle's Data Cleaning Challenge. It demonstrates techniques for identifying, quantifying, dropping and imputing missing values.
  • student-depression-dataset.ipynb - Analyses a student mental-health dataset, comparing depression indicators between male and female students.
  • turkiye-mean-iq-education-and-divorce-rates.ipynb - A variant of the behavior notebook that combines provincial IQ scores, education indicators and divorce statistics. It calculates correlation coefficients and visualises how IQ and education duration may relate to divorce rates.
  • data.csv (within Turkiye election_datas/) - A compiled CSV summarising provincial election results alongside socio-economic indicators for further analysis.

📚 Data Sources

The datasets used here come from public sources:

  • Turkish elections - Candidate lists, provincial vote totals, gender ratios, education-duration statistics and average IQ data were collated from openly available government and institutional datasets.
  • Student lifestyle, data cleaning, and depression datasets - Sourced from Kaggle competitions and open-data repositories.
  • Education, IQ and divorce datasets - Provincial statistics compiled from publicly available records.

All datasets are provided for instructional use and should not be used for commercial or political purposes without verifying their accuracy and licensing terms.


🤝 Contributions

Contributions are welcome! If you'd like to:

  1. Add new visualisations or analyses,
  2. Report bugs or issues,
  3. Suggest improvements,   feel free to submit a pull request or open an issue.

📜 License

No specific licence is specified in this repository. If you plan to reuse or redistribute any of the datasets or code, ensure that you comply with the original data sources' terms of use.


📧 Contact

For any questions, feel free to reach out via GitHub Issues.

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