This project is part of the HDIP Data Analytics course for the module of Data Visualization Techniques and implements a analyse based on a Board Game dataset.
Project Overview
As part of the Data Visualization course, I undertook a project to analyze a dataset of board games for a retail company. The goal was to develop an optimized sales strategy for the upcoming Winter season.
Objectives:
- Analyze the board game dataset to extract meaningful insights.
- Develop a comprehensive sales strategy based on the analysis.
Key Deliverables:
- Visualization Design: Created effective visualizations to communicate key insights.
- Data Engineering: Cleaned and transformed the data to prepare it for analysis.
- Feature Selection: Selected relevant features that significantly impact sales and strategy.
- Comprehensive Report: Provided a detailed report rationalizing all decisions, including visualization design, data engineering processes, and feature selection, to ensure a well-justified sales strategy.
This project equipped the retail company with actionable insights and a solid foundation for their Winter season sales strategy, backed by thorough data analysis and well-justified decisions.