Project-Specific Instructions
Phase 4: First Technical Modification
Make one small technical change. Run the project again and see what happens. If your change causes an error, read the message, correct the problem, and rerun the project. You can always revert (CTRL z) changes or return to the example code. Follow this debugging process until your initial technical modification runs successfully.
Suggestions:
- Change the numeric column summarized in the CSV pipeline.
- Change how the JSON records are counted or grouped.
- Change the word counted in the XLSX pipeline.
- Change what information is calculated from the text file.
Phase 5: Custom Project
Make the project yours by adapting the ETVL processing to address a problem you choose.
Keep the Extract / Transform / Verify / Load structure, but change the data-specific processing and explain your choices in app.py.
For more challenge, replace one of the raw datasets with a new source and adapt its pipeline to process the new data.
Professional Communication
Make sure your repository correctly presents and reflects your work. Remove educational instructions that are no longer needed and verify key areas showcase your skills:
- README.md
- docs/
- src/
The example projects are MIT licensed. You are free to use and modify as you like.