Overview
This repository contains structured analytical workflows implemented using Python and R.
It demonstrates practical data preparation, statistical analysis, and visualization techniques applied to structured datasets.
Technical Areas Covered
Data ingestion and transformation using Pandas
Statistical modeling including ANOVA and regression
Data visualization techniques in Python and R
Regular expressions and scripting fundamentals
Basic image processing workflows
Technologies
Python Pandas NumPy Matplotlib R
Purpose
This repository reflects foundational analytical and programming capabilities applicable to data driven environments, reporting workflows, and technical problem solving contexts.