Skip to content

We scrape Google trend indices and annual revenues of 3 major camera brands, visualize the data, and use machine learning to predict who will dominate the camera market in the future, powered by Python and JavaScript (D3.js).

License

Notifications You must be signed in to change notification settings

BadwaterBay/camera-trends

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Camera Trends

CodeFactor License: MIT

Hosted at: https://badwaterbay.com/app/camera-trends/

Repository: https://github.com/BadwaterBay/camera-trends


Our motivations

We'd like to practice our skills in Python data scraping and D3.js data visualization. We are both photography enthusiasts. We are interested in which camera brand will lead the market in the future.

Our question

Out of three major camera brands, Canon, Nikon, and Sony, which one will dominate the mirrorless market?

Methodology

We scrape Google trend indices from 2004 to 2020 as a function of time and countries and correlate them with annual revenues. We use D3.js to visualize the data. We then predict future trends with machine learning.

Results and discussion

Our final product is shown here.

Contributing to this project

If you are interested in contributing to this project, you are welcome to reach out.

To contribute to this project, we follow a rather standard approach of open-source software development, such as: https://github.com/firstcontributions/first-contributions

Contributors

https://github.com/BadwaterBay/camera-trends/graphs/contributors

About

We scrape Google trend indices and annual revenues of 3 major camera brands, visualize the data, and use machine learning to predict who will dominate the camera market in the future, powered by Python and JavaScript (D3.js).

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Contributors 4

  •  
  •  
  •  
  •