This repository contains a complete data visualization workflow for an education-related dataset. The project focuses on data cleaning, exploratory analysis, and visual storytelling using R and Jupyter Notebook.
The analysis includes:
- cleaning and preparing the raw dataset,
- exploring missing values and patterns,
- visualizing distributions and relationships,
- summarizing key insights in a clear and reproducible way.
- Data cleaning scripts and processed outputs in the data_cleaning folder
- Exploratory analysis scripts in the exploratory_data_analysis folder
- Explanatory analysis work in the explanatory_data_analysis folder
- Generated charts and plots stored in the output_graphs folder
- R
- Jupyter Notebook
- ggplot2 and tidyverse-style workflows
This project was created to demonstrate practical data visualization and exploratory analysis techniques in a structured and shareable repository.