Central question
How can repetitive data-cleaning and exploratory-analysis tasks become a transparent, reusable workflow?
Project overview
Clean My Data is designed as a practical first stop for CSV and Excel datasets. It brings inspection, cleaning, visual exploration and export into one guided interface.
The objective is not to hide analytical judgement. The application surfaces data-quality issues and explains proposed actions so that the user remains in control of the final dataset.
Core workflow
The application follows a consistent sequence from upload to export. Each stage produces information that supports the next decision rather than applying unexplained transformations automatically.
- Upload CSV or Excel data and inspect its structure.
- Profile missing values, duplicates, data types and potential outliers.
- Review distributions, correlations and date-aware summaries.
- Apply selected cleaning actions and export the revised dataset.
Design priorities
The interface is being developed for users who need a fast overview without losing traceability. Clear labels, before-and-after summaries and downloadable outputs make each transformation easier to evaluate.
The visual system uses concise cards and diagnostic views to keep the experience useful on desktop and smaller screens.
Live application and next iteration
The application is now deployed as an interactive Streamlit experience and can be tested directly from this report. The next iteration will expand end-to-end testing across varied datasets, refine recommendations for mixed data types and document performance with verified screenshots and before-and-after examples.
People behind the project