csv-analysis

Upload a CSV or Excel file and get exploratory data analysis with no code: EDA charts, anomaly detection, forecasts and plain-English questions in pandas, with the calculation shown under every number.

A data analysis project exploring consumer behavior and sales trends through EDA using Python. Includes visualizations and insights derived from retail shopping data.

An agentic AI system for conversational data analysis. Upload any CSV, query your data in natural language, and receive instant insights, auto-generated visualizations, and executable Python code — powered by LangChain, OpenAI/Gemini LLMs, Streamlit, and FastAPI.

The statistical analyst in your AI chat — bring data and a question, own a citable, re-runnable analysis. Four depth tiers, from instant Snapshot to full Deck study. Works in Claude, Cursor, and any MCP client.

Upload a CSV → get a full EDA report with LLM-generated executive summary, charts, and downloadable PDF/Word exports. Built with Streamlit, Pandas, and OpenAI GPT-4. Handles 50K+ row datasets, cuts manual EDA time by 60%. Includes a sample output report.

Enterprise-grade CSV data quality analyzer powered by Machine Learning. Automatic anomaly detection, statistical profiling, PII scanning, and actionable insights. Secure user authentication, custom data pipelines, and interactive dashboards. Production-ready SaaS application.

A menu-driven Student Result Analysis system built with Streamlit and Pandas. Perform automated grading, topper identification, and subject-wise performance analysis from CSV data.

Browser-based tool for comparing recorded CSV flow traces against intended OXY flow profiles, with alignment, deviation metrics, phase filtering, and interactive visualization.

Open-source, local-first Python toolkit for data profiling and quality analysis. Generate interactive HTML reports from CSV, Excel, JSON and JSONL files.

AI-powered full-stack data analysis platform that cleans CSV datasets, performs EDA, generates charts, creates AI business reports, and supports dataset chat using FastAPI, React, Pandas, and Gemini AI.

InsightData is an intelligent data analysis tool that turns natural language queries into Python code. Built using Streamlit, LangChain, and Google Gemini (Flash 2.5), it allows users to upload datasets (CSV/Excel) or connect Google Sheets to perform EDA, clean data, and generate matplotlib visualizations instantly. Supports English & Indonesian.

CHEM•VIZ — Chemical Equipment Parameter Visualizer | Hybrid Web + Desktop app for CSV-based scientific data analysis with interactive charts & PDF reports. Built for FOSSEE

Full-stack data analytics platform with FastAPI, PostgreSQL, SQLAlchemy, Pandas, Plotly and Streamlit.

This project aims to analyze e-commerce data to derive meaningful insights about customer behavior, sales trends, and product performance. We utilize Python, MySQL, and various data visualization libraries to perform the analysis.

An AI-powered trade prediction system using machine learning, technical analysis, and time series models. Built with FastAPI, React, and Tailwind CSS.

An intelligent tool that connects to your database and acts as your personal data analyst.

An AI data analyst agent that turns raw CSVs into structured business insight reports — pandas handles all numeric analysis, Gemini handles only language, with guardrails and a 7-check evaluator to keep findings grounded

AI-powered no-code forecasting platform that transforms CSV datasets into insights, model comparisons, and predictive analytics through a guided workflow.

🧠 A 100% local, privacy-focused RAG system that lets you chat with PDFs, CSVs, and NoSQL data offline using Ollama & ChromaDB.