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This project is dedicated to the meticulous cleaning and insightful analysis of the FIFA 21 dataset, originating from Kaggle. As an enthusiast of soccer statistics and data-driven insights, I embarked on this journey to refine the dataset, unravel hidden patterns, and present visualizations that showcase the nuances of player attributes in FIFA 21.

Jupyter Notebook 100.00%
data-visualization fifa football kaggle kaggle-dataset matplotlib pandas python seaborn

fifa_21_dataset_cleaning's Introduction

FIFA 21 Dataset Cleaning and Analysis

Overview

This project focuses on preparing and analyzing the FIFA 21 dataset, sourced from Kaggle. The repository provides a structured workflow for cleaning the original dataset, performing exploratory data analysis, and creating insightful visualizations.

Repository Structure

  • starting_file/: Contains the original dataset from Kaggle.

    • fifa21_dataset.csv: The raw data file downloaded from Kaggle.
  • exported_cleaned_file/: Contains the cleaned dataset exported from the Jupyter Notebook.

    • fifa_21_cleaned_df.csv: The cleaned and processed dataset, ready for analysis.
  • jupyter_notebooks/: Contains Jupyter Notebooks for data cleaning and analysis.

    • fifa_21_df.ipynb: Jupyter Notebook documenting the process of cleaning and transforming the starting file.
    • fifa_21_graphs.ipynb: Jupyter Notebook creating visualizations and graphs from the cleaned dataset.

Usage

Explore the cleaned dataset and leverage the insights gained from the analysis. The Jupyter Notebooks serve as comprehensive guides, providing transparency into the data cleaning and visualization processes.

fifa_21_dataset_cleaning's People

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