Preserve and document inputs

Preserve and document inputs — guided practice

Separate raw input, executable analysis and generated output.

Use free local JupyterLab with a Python 3 kernel, or an equivalent notebook environment that can read uploaded local files. Put analysis.ipynb and attendance.csv in the same new practice folder; no extra Python packages are used by the analysis. The CSV rows are S1 north 8 held; S2 south 6 held; S3 north blank held; S4 south 0 canceled; S5 north 7 held; S6 south 5 held; S7 north 4 held; S8 south 9 held. The supplied analyze.py runs the same calculation with Python from this folder. Use only these fictional records.

1. 1. Inspect the folder

   Confirm attendance.csv, analysis.ipynb and analyze.py are together.

   You should see: Input and executable files have distinct names.

   A known folder layout prevents hidden path dependencies.

2. 2. Create a dictionary

   In README.md define session_id, site, attended and status, including blank and canceled meanings.

   You should see: Another person can interpret all four columns.

   Column names alone rarely capture all assumptions.

3. 3. Read the code paths

   Find raw_path and the output directory creation.

   You should see: The code reads attendance.csv and writes only under output.

   The original input is not overwritten.

4. 4. Record provenance

   Write fictional fixture, version 1, supplied with this course, and date of your run.

   You should see: The origin and version are explicit.

   Reproducibility needs the exact input, not only a filename.