SPOTIFY VS. APPLE MUSIC: python project
Github Link: https://github.com/geniakap/Final-Project-206.git
The Spotify vs. Apple Maps project is an outcome of a coding class I have taken in the winter semester of my sophomore year at the University of Michigan’s School of Information, Data-Oriented Programming. The class goes through the main concepts of Python, allowing students to develop core skills in programing including understanding basic data structures, debugging and testing, using distributed code repositories, pattern matching, and programmatic gathering and processing of data.
This particular project is the final creation of the class with the objective being to “gather data from multiple APIs/website (with Beautiful Soup) to answer questions such as what is the effect of weather on crime.” With this objective in mind my partner and I decided to find and analyze top streaming songs and artists (using two different streaming platforms) to find similarities and differences.
IN SUMMARY…
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Create a fully-working program without any scaffolding (starter code)
Create and modify tables in an SQLite Database
Utilize APIs (including researching methods)
Utilize visualization software (including researching options)
Document your code
Work in teams of 2 to 3 people
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Find and analyze top streaming songs and artists (using two different streaming platforms) to find key similarities and differences
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Work with my partner to code algorithms from scratch in order to create visualizations of the data pulled from API’s
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June 2022
Goal:
Find and analyze top streaming songs and artists (using two different
streaming platforms) to find similarities and differences. We
HYPOTHESIS: The majority of the artists with top overall streams currently will also be some of the artists with top overall streams. This shows how dominated the music industry is by just a few people.
