We are performing a statistical analysis on gaming computer parts currently available in today's market. Our analysis aims to discover the optimal PC parts for a consumer who is interested in building a gaming PC. We will be looking into various components that are essential for high performance and evaluating them on multiple criteria to establish what the "optimal" choice is for a consumer to purchase for four different performance categories. These categories will be entry, mid-tier, high-tier, and ultra. These tiers will be determined using data from Steam hardware utilization rates, popularity, and minimum requirements for popular games. After deriving these tiers, we will use price and performance data from the PC Part Picker website to determine the optimal PC builds within each category. We will also consider factors such as future-proofing and upgradeability to ensure that the recommended builds offer longevity and flexibility to the consumer. Additionally, we plan to analyze user reviews and feedback on reliability and customer support for different brands and models to further enhance our recommendations.  By integrating a multifaceted approach, we aim to provide a comprehensive guide that caters to the needs and preferences of consumers at varying levels of engagement in computer gaming. We want to provide consumers with the knowledge needed to make informed decisions, ultimately optimizing their gaming experience based on their budget and performance expectations.

This analysis is directed toward consumers who just want to enjoy video games at the most efficient price point possible. Consumers often will not have a comprehensive view of the entire hardware market due to the amount of effort required to compare each manufacturer's component to others as well as the various tiers of performance within each type of component. This tool would directly impact these people by doing the heavy lifting for them and presenting the data in a convenient way for them to clearly understand and make decisions off of. Besides these consumers, however, this analysis will also impact manufactures of hardware components as well. Making this information readily available for anyone to view could drive sales of certain products that are shown to be better priced relative to their performance than their competitors. This data could also reveal gaps in the market that companies may want to capitalize on. This could be in the form of an underrepresented segment of consumers or a highly desired hardware performance tier that is not currently available. Video game and/or software creators may also find this analysis useful as it could inform what hardware specifications to target for their game/software to be able to reach the largest audience and maximize profits. Lastly, review/recommendation websites could use this analysis as inspiration to develop their own tools further to provide analyses such as this as a service to users that they maintain and update over time. This would continue to benefit each of the stakeholders mentioned above into the fiture as new hardware and software releases.

We aim to combine the data PCPartPicker and Steam provide into a one-stop shop.  From this, we will be providing a consumer with the components needed to run the games they want to play, at the performance level they want to play them at. This will simplify the decision process and legwork needed to be completed by the consumer.  As well as help them answer questions that they would not inherently ask to begin with. It will lead to consumers not overpaying for components that are not needed, or wasting money on components that are not suitable to run the games they would like to play. Additionally, by consolidating the data from PCPartPicker and Steam, our platform will offer users the convenience of accessing all relevant information in one place.  This will in turn save them valuable time and effort. This holistic approach ensures that consumers can make informed decisions based on the most up-to-date information available.  Thus, maximizing the efficiency and cost-effectiveness of their gaming PC builds. Ultimately, our goal is to empower consumers with the knowledge and resources they need to create optimal gaming experiences tailored to their preferences and budget constraints. 

1. What are our criteria for the low, medium, high, and ultra tiers of gaming computers?

2. How will we establish the budget for each tier?

3. How reputable are the sources of these datasets?

4. How accurate are these datasets?

5. What sort of bias can we expect?

6. Is the relationship between price and performance linear? If not, what trend does it follow? 

7. Are certain components more important for performance than others? If so which ones?

8. What are the most common components used today?

9. What are the most common minimum required components?

10. What is the optimal build for each tier?