CSV Data Analyzer
Analyzes CSV data and generates insights, summaries, and visualizations. Prerequisites: python3.
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# CSV Data Analyzer ## Description Analyze CSV data to extract insights and generate summaries. ## Steps 1. Parse CSV and identify column types (numeric, categorical, datetime) 2. Generate summary statistics (count, mean, median, std, min, max) 3. Identify missing values and data quality issues 4. Detect outliers using IQR method 5. Find correlations between numeric columns 6. Suggest visualizations based on data types ## Output - Data summary table - Key insights (top 5 findings) - Data quality report - Recommended next steps
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