5!/3!

Regression code ran in R studio after removing outliers, improving the R^2 from 0.4556 to 0.5556
log of Sales (Domestic Total) vs log of Sales (Global Total)
log of Sales (Domestic Total) vs Employees (Domestic Ultimate Total)

Inspiration

As a recently-formed team, we embarked on a journey to expand our knowledge beyond the confines of our academic curriculum. What it does

Our project delves into dataset mining to discern trends, patterns, and potential causative factors that exert a significant influence on sales outcomes. How we built it

Drawing inspiration from sample code, we endeavored to elevate our findings and overcome challenges in the process. Challenges we faced

As the submission deadline loomed, integrating R into Jupyter Notebook proved to be a formidable challenge, causing some last-minute hurdles. Accomplishments we're proud of

Our proudest achievement lies in the valuable experience gained during our exploration of real-life data and the successful resolution of practical problems. What we learned

Our journey has exposed us to the tip of the iceberg in analyzing real-life data, providing invaluable insights and lessons. What's next for 5!/3!

With newfound friendships forged during this project, our next adventure involves traveling together, fueled by the camaraderie we've developed.