Python Data Cleaning & Exploratory Data Analysis (EDA)
تفاصيل العمل
Developed a complete data cleaning and exploratory data analysis (EDA) project using Python to transform raw data into a clean, structured, and analysis-ready dataset. The project demonstrates professional data preprocessing techniques, including handling missing values, removing duplicates, detecting outliers, correcting data types, and performing exploratory data analysis with meaningful visualizations. Key Features: Data Cleaning Missing Value Handling Duplicate Removal Outlier Detection Data Type Conversion Exploratory Data Analysis (EDA) Statistical Summary Data Visualization Clean Dataset Export Tools Used: Python Pandas NumPy Matplotlib Seaborn
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