📊 Corporate Data Analyzer

A Python-based data analytics tool designed to simplify data processing, aggregation, and visualization for corporate datasets.

The application allows users to upload Excel or CSV files and instantly generate analytical reports and charts to gain insights from raw data.

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🚀 Features

• 📂 Data Import

  • Load CSV and Excel files easily.
  • Automatic dataset detection.

• 📊 Data Analysis

  • Group data by categories.
  • Calculate statistics such as:
    • Sum
    • Average
    • Median
    • Count

• 📈 Data Visualization

  • Generate charts instantly:
    • Bar Chart
    • Column Chart
    • Pie Chart
    • Line Chart

• 📑 Report Generation

  • Export charts and processed reports for presentations.

• ⚡ Fast Processing

  • Analyze large datasets quickly using Python libraries.

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🛠 Tech Stack

• Python
• Pandas
• Matplotlib / Plotly
• Tkinter / GUI Interface
• OpenPyXL

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File Link- https://drive.google.com/file/d/1EJ95eaTveT4ULOiO_0ce1J5xBozNL1n9/view?usp=sharing ⚠️ Windows Security Warning (SmartScreen)

When you run the .exe file, Windows may show a message like:

“Windows protected your PC – Microsoft Defender SmartScreen prevented an unrecognized app from starting.”

This happens because the application is new and not yet recognized by Microsoft’s reputation system, not because it is malicious. New or uncommon apps often trigger this warning until they build trust with downloads.

✅ How to Run the Application

1️⃣ Download the ZIP file from the repository 2️⃣ Extract / Unzip the folder 3️⃣ Open the extracted folder 4️⃣ Double-click the .exe file

If Windows shows the warning:

Click More info

Click Run anyway

This will allow the application to start normally.

📌 Why this happens

The application is new or not widely downloaded yet

The .exe file is not digitally signed

Microsoft SmartScreen has not built reputation for the app yet

Once more users download and run it, the warning usually disappears.

📂 Project Setup

1️⃣ Download the Project

Download the ZIP file

2️⃣ Extract the ZIP File

After downloading: Right click the ZIP file Click Extract All Open the extracted folder

3️⃣ Install Required Libraries (if required) pip install pandas matplotlib openpyxl

4️⃣ Run the Application (if required) python app.py

or open the executable file if provided.