1. Clean the dataset 2. Create initial visualizations 3. Identify patterns, trends, and questions 4. Draft a layout of a poster 5. The poster must include a complete exploratory data analysis. 6. Clear labels, titles, and captions 7. A draft narrative describing what the data shows
1. Clean the dataset
2. Create initial visualizations
3. Identify patterns, trends, and questions
4. Draft a layout of a poster
5. The poster must include a complete exploratory data analysis.
6. Clear labels, titles, and captions
7. A draft narrative describing what the data shows
Created using ChatSlide
This project involves cleaning and framing a dataset of 5,000 rows and 10 fields, standardizing data formats, and defining key metrics. It includes exploring patterns through visuals to compare margins by condition and model, charting resale prices, and testing various market questions. Finally, the project culminates in building an EDA poster narrative that maps findings, highlights deadstock gains versus used losses, and provides actionable recommendations for sourcing and channel strategies.