Data Report - CSV Analytics Tool
Interactive data visualization and analysis for time-series CSV data
Technologies Used
Screenshots
Main interface of the Data Report Visualizer showing the clean, dark-themed dashboard with CSV file upload functionality and data analysis options
Dashboard view displaying key metrics and interactive visualizations including colorful histogram charts and time-series bar charts for comprehensive data analysis
Advanced analytics view showing records per day distribution and cumulative trend analysis with detailed time-series visualizations and growth patterns
This open-source data analysis tool is specifically designed for CSV files containing datetime or timestamp values. It combines powerful data processing capabilities with intuitive visualizations, making it easy to analyze time-series data and discover meaningful patterns and insights.
Built with React.js for a responsive user interface, Redux for efficient state management, and D3.js for creating dynamic, interactive data visualizations. The application automatically detects datetime columns in uploaded CSV files and provides various visualization options tailored for time-series analysis.
Key features:
Automatic Data Detection: Intelligent detection of datetime and timestamp columns in CSV files with various format support.
Interactive Visualizations: Dynamic charts powered by D3.js with zoom, pan, and filtering capabilities for comprehensive data exploration.
Time-Series Analysis: Specialized tools for analyzing temporal data patterns, trends, and seasonal variations.
Statistical Insights: Built-in statistical analysis including mean, median, standard deviation, and trend calculations.
Data Filtering: Advanced filtering options by date ranges, value ranges, and custom criteria.
Export Capabilities: Export visualizations and processed data in various formats including PNG, SVG, and CSV.
The application is deployed on Vercel for fast, reliable access and optimal performance. Whether you're analyzing sales data, sensor readings, web analytics, or any other time-based datasets, this tool provides the insights you need in an intuitive, professional interface.
Key Highlights
Automatic datetime detection
Interactive D3.js visualizations
Time-series data analysis
CSV file processing
Statistical insights
Responsive design