This project focuses on cleaning, standardizing, and preparing a dataset for analysis. The main goal is to identify inconsistencies, handle invalid values, and organize the data for future exploratory analysis or modeling.
- Source: Kaggle
- Dataset: Dirty Dataset to Practice Data Cleaning
- Link: https://www.kaggle.com/datasets/amruthayenikonda/dirty-dataset-to-practice-data-cleaning
- Initial data inspection
- Column name standardization
- Handling missing and inconsistent values
- Data type correction
- Dataset preparation for analysis
- Pandas
- Jupyter Notebook
- Clone the repository
- Open
data-cleaning.ipynbin Jupyter Notebook - Run the cells sequentially
Its a simple project, designed to practice data cleaning and preprocessing on a small dataset.