Visualizer

Authors: Samiksha Gnawali & Suyog Karki
Instructor: Dr. Omer M. Soysal
Course: CMPS 3400 Introduction to Data Science

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Overview

Visualizer is a Python-based data analysis tool that demonstrates:

• CSV and pickle analysis with interactive visualization
• Probability tables, vector operations, and correlation analysis
• Missing-value handling, downloads, and logging

Technologies used: Pandas, Matplotlib, Seaborn, NumPy, Streamlit

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Setup

git clone https://github.com/KARKI2004/Visualizer
cd Visualizer
pip install -r requirements.txt

Run (CLI)

python -m src.cli_runner

Run (UI)

streamlit run app.py

Outputs

• CLI run writes analysis outputs and plots to Output/
• UI run provides download buttons and does not write to disk

Links

https://visualizer-data-analysis.streamlit.app/