This is a quasi-realistic exercise with Python for analyzing consumer behavior.
It's based on "survey data" with:
- 👀 build: python venv managed w asdf
- 🌱 version control: github
- 💞️ deploy: undecided for now
I love meeting new people. To connect:
- Mention me in an issue or pull request: @kjon-life
- My friends connect on Instagram: @kilo.jon
- LinkedIn works for everything else.
Using survey data address the possibilities and willingness to play
- Increase sucbscriptions
- Optimize price
- Expansion revenue (features, support, API, ads, etc)
- Differentiate value
- Market segmentation (out of scope)
- requirements
- Python, Pandas, Numpy, Matplotlib, Statsmodels
- GitHub repository is now public.
2024-04-21 2214 HRSThis project depends on the copious contributions of others and is possible because of the following services:
- #TODO Taipy
Notes:
Intermediate knowledge of Business Analytics with Python is required.