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This repository contain software that use to generate and transfer data from pre-collect data for DMP Exercise

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muisawe/Data-stewardship-Exercise

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Correlating Movies score and Unemployed rate

This experiment aims to explore the connection between Movies score and Unemployed rate in the USA.

Data Sources

The cited data sources have already been added to this repository.

This Project works on this structure

System Architecture Diagram

Running the code

To run the code in this repository you will need to have access to a machine running python you should clean data before you start visualize it

  • Open Command line: Start menu -> Run and type cmd
  • Type: C:\python37\python.exe
    Exercise\app.py
  • Or if your system is configured correctly, you can drag and drop your script from Explorer onto the Command Line window and press enter.

then you can visualize the date running Exercise/DataVisualization.py the result will gonna be in reports file

Docker

follow this instruction if you wish to run the code using docker

first of all

run cmd/terminal according to your os.

then type

docker build -t myImage.

After your image has been built successfully, you can run it as a container. In your terminal, run the command docker images to view your images. You should see an entry for myImage. Run the new image by entering:

docker run myImage

Digital Object Identifier (DOI).

DOI for source code Alt Text.

DOI of data result Alt Text.
DOI For the DMPOnline DOI.
DOI for DMP created using DS-Wizard DOI

license

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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This repository contain software that use to generate and transfer data from pre-collect data for DMP Exercise

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