Advanced Analysis Files

This project demonstrates how to build an advanced file analysis web application using Python Flask. The application allows users to securely upload different types of files (CSV, Excel, JSON, Text, Logs, etc.) and automatically performs in-depth analysis on them. It leverages powerful Python libraries such as Pandas, NumPy, OpenPyXL, and Matplotlib for data processing, cleaning, visualization, and reporting.

Key features include:

• 🔹 File Upload System – Supports multiple file formats.
• 🔹 Automated Analysis – Detects file type and applies the right analysis pipeline.
• 🔹 Data Cleaning & Validation – Handles missing values, formatting issues, and duplicate records.
• 🔹 Statistical Reports – Generates descriptive statistics, trends, and correlations.
• 🔹 Interactive Dashboards – Visualizes data with charts and tables for quick insights.
• 🔹 Export Options – Save analyzed results into new CSV, Excel, or PDF reports.
• 🔹 Multi-threading Support – Ensures smooth performance with large datasets.
• 🔹 REST API Integration – Exposes endpoints for external applications to submit files and retrieve analysis results.