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Welcome to Workbench! (CJ for computational journalism)
- Our public server, now in beta.
Workbench is a platform that combines data tools and training for journalists. It is a workbook-style data processing system designed around modular tools for data processing -- table in, table out -- with no code required. Features include:
- Modules to scrape, clean, analyze and visualize data
- An integrated data journalism training program
- Connect to Google Drive, Twitter, and API endpoints.
- Every action is recorded, so all workflows are repeatable and transparent
- All data is live and versioned, and you can monitor for changes.
- Write custom modules in Python and add them to the module library
To see what Workbench does, try our public server, now in beta. Or run your own server.
- Imagining the data journalism workflow of the future
- What workbench can do for data
- A different approach to transparent data journalism
- Data journalism made easier, faster, and more collaborative
- Our knowledge base has detailed instructions for each module
Always happy to hear from you:
We also accept Pull Requests :)
Workbench is a project of Columbia Journalism School, made possible through the generous support of Krishna Bharat and the Knight Foundation.