This repository focuses on visualizing the Iris dataset using various data visualization techniques. It includes histograms, scatter plots, box plots, pie charts, bubble charts, and KDE plots to provide insights into the dataset’s structure. The project utilizes Matplotlib, Seaborn, Plotly, and Scikit-learn to generate insightful visualizations.

This repository contains my work from the Accenture North America Data Analytics and Visualization Job Simulation on Forage (September 2024). It includes tasks such as cleaning and analyzing CSV datasets using SQL, creating a PowerPoint presentation of insights, and recording a video presentation. Key skills demonstrated include data analysis, mode