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Dhaniklal711 / repository
Corporate Data Analyzer is a Python-based desktop app built with Tkinter, Pandas, and Plotly. It allows users to import CSV/Excel files, generate grouped reports with aggregations, visualize data using charts, and export results as Excel, CSV, or PNG for easy business analysis and reporting.
📊 Corporate Data Analyzer (Report + Chart + Export)
A Python-based desktop application built using Tkinter, Pandas, Matplotlib, Seaborn and Plotly that allows users to analyze corporate datasets, generate reports, visualize insights, and export results .
🚀 Features
📂 Import Data Supports CSV and Excel (.xlsx, .xls) files Displays file info (rows, columns, headings) 📈 Dynamic Report Builder Group data by any text column Apply aggregations: Sum Mean / Average Max / Min Count Median
📊 Data Visualization
Generate interactive charts: Bar Chart Column Chart Line Chart Pie Chart 📤 Export Functionality Export reports as: Excel (.xlsx) CSV (.csv) Export charts as PNG images
🧠 Smart Data Handling
Automatically detects numeric and text columns Cleans and converts messy numeric data (e.g., "12,000") 🛠️ Tech Stack Python Tkinter (GUI) Pandas (Data Analysis) Plotly (Charts) Pillow (PIL) (Image display)
📸 UI Overview
File upload & info section Report builder (GroupBy + Aggregation) Table preview (Treeview) Chart preview panel
Selected from shared topics, language and repository description—not editorial ratings.
nit1914 /
Corporate Data Analyzer is a Python-based data analysis tool that allows users to upload CSV or Excel datasets, perform dynamic aggregation, and generate interactive charts instantly. The project helps transform raw corporate data into meaningful insights using automated reporting and visualization.
himanshu-kumar2203 /
Python desktop application for analyzing, grouping and visualizing Excel/CSV datasets.
amarjeet-ydv3004 /
A Python-based desktop application for analyzing CSV/Excel data with visualization and report export features.
TamairNV /
A Python tool that connects corporate lobbying data to legislative targets. It automates the process of linking lobbying disclosures to specific bills, identifying the committee in charge, and pinpointing the members of Congress who control those committees.
nileshraut-analytics /
Python desktop data analyzer built using Pandas, Tkinter, and Matplotlib.
JeyasiPandey /
A Python GUI tool for analyzing corporate data, generating reports, charts, and exporting insights.