Onyx Data eBay Used Cars Sales Analysis

The objective of the Onyx Data Challenge in March was to analyze the eBay used car sales dataset from Germany spanning from 1960 to 2020. The aim was to derive insightful insights that would benefit stakeholders.

By meticulously examining the data, the challenge sought to answer key questions such as the most purchased car brands, the states with the highest car purchases, and the optimal months for buying cars.

Since Germany has such a large used automobile industry, numerous adverts for sales are posted on eBay. We used eBay data to provide information about the vehicle, including its make, brand, type, horsepower, and kilometers. The data consists of almost 370000 rows and approximately 20 columns. We are also given the price at which the car was sold, in addition to these characteristics. Our goal is to optimize sales by understanding the impact of the factors and the price. As a result, our primary task is to determine the significant factors that influence pricing. To work on sales, we also work to: identify the elements that affect the price of a used car; identify the factors that impact the price of a used car; and identify the factors that influence the price of a used car. Finally, understand and analyze the relationship between the elements that determine the price of the car, and utilize the information to forecast the price of the car when all of the factors are known.