A powerful web-based platform for automated data cleaning, analysis, and visualization. This tool helps data scientists and analysts streamline their data preprocessing workflow with an intuitive interface and smart cleaning recommendations.
- Automated detection and handling of missing values
- Intelligent duplicate row removal
- Outlier detection and handling
- Column correlation analysis and redundancy removal
- Special character handling and standardization
- Smart date format detection and conversion
- Comprehensive data quality assessment
- Column type detection (numeric, categorical, datetime)
- Missing value analysis
- Data quality scoring system with detailed feedback
- Duplicate entry detection
- Interactive visualization dashboard
- Multiple plot types supported:
- Line plots
- Bar plots
- Scatter plots
- Histograms
- Box plots
- Violin plots
- Correlation heatmaps
- Pie charts
- Density plots
- Customizable plot options and parameters
- Plot download functionality
- Input formats: CSV, Excel (.xlsx, .xls)
- Export options: CSV, Excel, JSON
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Automated cleaning recommendations based on data analysis
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Priority-based suggestion system
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Detailed descriptions for each recommended operation
- Forward and backward fill for missing values
- Categorical variable encoding
- Numeric column normalization
- Column name standardization
- Constant column removal
- High-correlation column analysis and removal
- Customizable correlation threshold settings
- Overall data quality scoring
- Detailed quality deduction explanations
- Continuous quality monitoring during cleaning process
This platform is designed to make data cleaning and preparation more efficient and accessible, whether you're a data scientist, analyst, or researcher working with datasets that need preprocessing before analysis.