This is the project of collecting and visualizing Customer Review Data for Amazon product. It is the final project of DATA512 Fall2019 at University of Washington. It contains the data preparation, data analysis, and data visualization steps.
The output of this project is a fully executable Jupyter Notebook which can be used for future customer review datasets and a list of answers to research questions.
├── LISCENSE
├── README.md
├── FinalProject.ipynb
├── Final Presentation.pdf
├── data.csv
├── final-project-proposal.md
├── final-project-plan.md
├── Echo Show Most Reviewed Words.pngAll processes and code are documented in the FinalProject.ipynb Jupyter Notebook. It's is entirely executable with the data source file data.csv. There's a Table of Contents section in the notebook to layout the details of the research. There's also a presentation pdf file, Final Presentation.pdf, which is an abstract of the project and has been used in a 5min presentation during class.
- link to DATA512 course website, https://wiki.communitydata.science/Human_Centered_Data_Science_(Fall_2019)
- Amazon has sold more than 100 million Alexa devices, https://www.cnet.com/news/amazon-has-sold-more-than-100-million-alexa-devices/
- Net Promoter Score, https://en.wikipedia.org/wiki/Net_Promoter
- Data source, https://data.world/datafiniti/consumer-reviews-of-amazon-products
This assignment code is released under MIT license.
The data sources are licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)