For this assignment we have developed a survival analysis on the Cloud Native Computing Foundation database using Python scripts, Jupyter Notebooks, ElasticSearch and Kibana.

• Carlos Grande

• Verónica Gómez

• Pablo Olmos

The repository is organize by folders following the next categories:

• 01_data: this folder contains all the data needed for the assignment.
  • cncf_git_data.json
  • cncf_git_mapping.json
• 02_src: this folder contains the library needed to load data and execute the notebooks.
  • elastic_loader.py
  • elastic_finder.py
• 03_notebooks: this folder contains the notebooks elaborated for the work.
  • 01_LoadingData.ipynb
  • 02_ExploratoryDataAnalysis.ipynb
  • 03_SurvivalAnalysis.ipynb
• 04_results: this folder contains the resulting images from the Dashboards.
  • Screen_01.png
  • Screen_02.png
  • Screen_Dashboard.png
• 05_exports: this folder contains the final objects exported from kibana.
• README.md: file with the instructions to understand the repository.
• MDS_Report.pdf: final report from the assignment.

To run the repository you need to follow the next instructions:

1. Run ElasticSearch and Kibana.
2. Open de DataLoader notebook, and follow the instructions.
3. Once the Elastic Index has been created run the notebooks.
4. Finally open the kibana site and import the objects from the 05_exports folder.


• Cloud Native Computing Foundations website: https://www.cncf.io/
• Github repository: