sadsa-os

SADSA — Software Application for Data Science and Analytics

Version: V-02.25.0.0.1
Author: Dr. Kamakshaiah Musunuru
Contact: dr.m.kamakshaiah@gmail.com
GitHub: Dr. Kamakshaiah Musunuru

🧠 Overview

SADSA (Software Application for Data Science and Analytics) is a Python-based desktop application designed to simplify statistical analysis, machine learning, and data visualization for students, researchers, and data professionals.

Built using Tkinter for the GUI, SADSA provides a menu-driven interface for handling datasets, applying transformations, running advanced statistical tests, machine learning algorithms, and generating insightful plots — all without writing code.

💡 Features

📂 File Operations

• Open and import CSV datasets.
• Save processed data.
• Clear data from the workspace.
• Exit with ease.

✏️ Data Editing

• Rename columns.
• Compute new variables.
• Recode variables.
• Handle missing data.
• Set fixed values.

🔁 Transformations

• Data Simulations and synthetic data generation.
• Multivariate Normal Distribution sampling.
• Data Decomposition: Cholesky, QR, SVD, Eigen.
• Data Standardization: Min-Max, Z-Score, Decimal Scaling, Log & Log-Normal transformations.

📊 Data Analytics

• Descriptive Statistics: Frequency Tables, Summary Stats.
• Inferential Statistics: T-Test, Chi-Square, Normality Tests, ANOVA, MANOVA.
• Factor Analysis: Exploratory (EFA) & Confirmatory (CFA).
• Correlation & Regression Analysis.
• Cluster Analysis: K-Means, Hierarchical.
• Time Series Analysis: Stationarity, Decomposition, Holt-Winters, Moving Averages.

🤖 Machine Learning Models

• Logistic Regression.
• Decision Tree.
• Random Forest.
• Naive Bayes.
• K-Nearest Neighbors.
• Neural Network.
• Support Vector Machine (SVM).

📈 Visualization

• Easy access to plot generation with customizable options.

ℹ️ Help & About

• Contact Information.
• Author Bio.
• Versioning.
• Application Overview.

⚙️ Installation

1. Clone this repository:
   bash git clone https://github.com/Kamakshaiah/SADSA.git

2. Navigate to the project folder:
   bash cd SADSA

3. Install the required Python packages:
   bash pip install -r requirements.txt

4. Run the application:
   bash python sadsa.py

📌 Dependencies

• tkinter — GUI Framework.
• pandas — Data manipulation.
• numpy — Numerical computations.
• scipy — Statistical functions.
• scikit-learn — Machine Learning.
• matplotlib — Plotting & Visualization.

🏆 About

SADSA is developed by Amchik Solutions, India as a comprehensive, intuitive, and accessible tool for data science education and applied research.

💬 Contact

For feedback, collaboration, or support, please reach out:
Email: dr.m.kamakshaiah@gmail.com

If you want, I can also help you write:
- requirements.txt
- example screenshots section
- badges (like Python Version, License, etc.)

Want me to add those too?