URSULA STAUDER

github

in 2019, i started to teach myself python and needed a place to store my code. my github is an amalgamation of my python learnings so far!

spotify top song analysis

as a dedicated and long-standing spotify enthusiast, my curiosity about the intersection of music and data led me to investigate the intricate makeup of chart-topping tracks, merging my love for music with analytics. using google data studio, i dived into a dataset consisting of 30,000 songs pulled from the spotify api with the goal of better understanding what key characteristics top tracks share.

world war analysis

the powerful storytelling in the movie all quiet on the western front inspired me to explore the subject of military service trends over time. using google data studio, i conducted an analysis focused on understanding the impact of ww1 and ww2 through the lens of civilian participation in the uk's military service. this analysis proved both intriguing and deeply moving, as it offered vivid visualizations that brought to life the historical significance of these conflicts and their profound effects on society.

merchandising analysis

as someone who loves fashion and is always interested in understanding how fashion trends change, i sought to investigate different ways to evaluate a product’s success. using microsoft power bi, this analysis demonstrates analytical methodologies used to detect trends, evaluate product success, and uncover potential product opportunities in the realm of merchandising. the data presented, though fictitious, aims to show how analytical techniques can be effectively utilized to derive insights and make informed decisions within the merchandising landscape, including tracking and forecasting shifts in consumer preferences and style trends over time.