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This dataset is utilized for implementing a case study on football players' statistics. The analysis is conducted under the guidance of Dr. Ramesh Athe, Assistant Professor of DS&IS at IIIT Dharwad.

The dataset comprises various attributes related to football players, including player ID, nationality, squad, birth year, value, height, position, preferred foot, league, and more.

To utilize the dataset, import it into Google Colab using the provided link. The data analysis is performed as part of Unit 04, focusing on categorical data analysis and goodness-of-fit tests.

• Statistics Case Study Dataset - football.csv: The dataset containing football players' statistics.
• README.md: Readme file containing information about the dataset and its usage.

The case study involves conducting various statistical tests and analyses, including goodness-of-fit tests and tests for independence. Python libraries such as Pandas, NumPy, Matplotlib are utilized for data manipulation, visualization, and statistical analysis.

For each analysis, hypotheses are formulated and tested using appropriate statistical methods, with significance levels and conclusions drawn accordingly.

The dataset is provided for educational and analytical purposes only. Any conclusions drawn from the analysis are based on statistical interpretations and may not represent real-world scenarios accurately.

If you have any questions or suggestions, please feel free to reach out to me at [email protected].