GigEfx Labs is seeking to develop a database for its PriceScout, a shoppping intelligence application. The requisite for such, is a large dataset thorough data collecting, cleaning to ensure accuracy and reliability. The project aims to provide learners with the opportunity to apply their data collection, management and analytical skills to real-world data. The goal is to collect and transform raw data into a clean, structured format that can be easily visualized and interpreted. This project will involve identifying and correcting inconsistencies, removing duplicates, and filling in missing values. Once the data is cleaned, learners will create visualizations that effectively communicate key insights and trends. This project will help GigEfx Labs improve the user experience of its PriceScout application by providing clearer and more actionable data insights.

- A cleaned and structured dataset ready for analysis and visualization.

- A set of visualizations that highlight key trends and insights from the data.

- A brief report summarizing the data cleaning process, challenges encountered, and insights gained.

- A presentation to GigEfx Labs showcasing the visualizations and explaining the significance of the findings.