This report aims to provide the company with a recommendation that is both feasible and well-rounded. Our goal is to provide the company with a solution that allows them to re-enter the game market with a highly profitable, yet minimally sized Lego set. Our analysis aims to be all-encompassing, with specific details surrounding list price, number of pieces, and theme. We will begin by identifying which input variables hold value and which we can disregard. We will then proceed to clean the data by removing any outliers that may skew the data. Our cleaning process will also take care of any missing information in the dataset.
Throughout our analytical process, there are numerous areas we want to dive into, and several questions which we would like to answer.
How many difficulty levels are there and what is the spread of each difficulty level?
What is the price range for each difficulty level? Is there any relationship between price and difficulty level?
Is there a relationship between piece count and difficulty level?
Is there a relationship between a higher difficulty level (more challenging) and a higher play star rating?
Which age group has the highest average price?
Which age group has the most Lego sets associated with them?
Which sets and/or themes have the most reviews? What age group uses each set most?