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The goal of this project is to develop a Data Science Workflow Manager, that will automate and provide the appropriate support for some of the data science tasks. A typical data science workflow will follow essential stages involving data cleaning, exploration, analysis, then finally presentation and visualization of results.

fiu-airlab/Data-Science-Workflow-Manager

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Data-Science-Workflow-Manager

The goal of this project is to develop a Data Science Workflow Manager, that will automate and provide the appropriate support for some of the data science tasks. A typical data science workflow will follow essential stages involving data cleaning, exploration, analysis, then finally presentation and visualization of results.

Prerequisites:

  • The Dependencies for this application are specified in requirements.txt
  • Use pip install -r requirements.txt to install all of them at the same time

The files required for this project are stored separately. you can download them here: file

To Run the app Use:

'make' or 'make run' to run the redis server used for caching and the python application

The server should start on port 5000.

Authors

  • Tomas Ortega
  • Serge Metellus

License

This project is licensed under the MIT License

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The goal of this project is to develop a Data Science Workflow Manager, that will automate and provide the appropriate support for some of the data science tasks. A typical data science workflow will follow essential stages involving data cleaning, exploration, analysis, then finally presentation and visualization of results.

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