Data profiling is an essential step in data analysis, helping you understand your dataset's structure, identify anomalies, and ensure data quality. This tool provides a comprehensive overview of your data, making it easier to prepare for visualization or further processing.

🔍 Key Features

  • 📈 Statistical Summary: Automatically calculates mean, median, standard deviation, and more.
  • 🧾 Data Types Detection: Identifies numerical, categorical, date, and text fields.
  • 🎯 Missing Values Highlight: Visualizes missing data patterns.
  • 📊 Distribution Analysis: Generates histograms and box plots for numerical columns.
  • 📌 Custom Filters: Apply filters to focus on specific subsets of data.

📝 How to Use

  1. Upload Dataset

    • Drag and drop your CSV, Excel, or database file.
    • 📁 Tip: Supported formats include CSV, Excel, SQL, and JSON.

  2. Run Profiling

    • Click "Analyze" to generate insights.
    • 🕒 Processing time depends on dataset size.

  3. Explore Results

    • View statistics, data types, and visualizations in the dashboard.
    • 📌 Click on a chart to drill down into specific details.

⚠️ Best Practices

Data Profiling
Data Analysis Overview