Package a reproducible result
See this course’s project requirements
An executable notebook and script that regenerate checked attendance totals, with raw data, an exclusion log, a data dictionary and a controlled rerun.
Keep your working files in your own notebook or software. Save a private description, checklist, and work link in My Proof.
What to include
- Question and inclusion rules.
- Preserved input and four-field dictionary.
- Executable analysis with exclusion reasons.
- Checked site/total reconciliation and interpretation.
- Clean-session baseline, correction test and complete handoff.
Review and revise
Use these criteria to check your work and choose what to improve.
- The stated metric matches the code.
- Exclusions and guards are explicit.
- Clean runs reproduce expected totals.
- The package contains enough information to rerun and interpret it.
Want more background?
The idea in everyday life
Rebuild a fictional attendance result from preserved data and executable steps.
A useful handoff includes inputs, code, results, definitions and a tested rerun path.
Package a reproducible result — guided practice
Demonstrate a controlled input change and deliver the complete analysis dependencies.
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. Preserve the base
Copy the original attendance.csv as attendance-baseline.csv before changing it.
You should see: The original eight rows remain recoverable.
A variation should not erase the baseline evidence.
2. Fill a stated missing value
In the practice input only, change S3 blank to 3. This is a supplied fictional correction, not an estimate. Restart/run-all.
You should see: Included=7, excluded=1; north 22, south 20, total 42.
A controlled correction should produce an exact expected difference.
3. Compare results
Record baseline 39 and corrected 42, with S3’s reason for inclusion.
You should see: The total increases by 3.
The change is explained by one input, not an unexplained new answer.
4. Save and hand off
Save notebook, script, both CSV versions, README and output files. Keep text report if HTML export is unavailable; optional exports depend on installed tools.
You should see: The recipient can reproduce either version with clear input selection.
A rendered report alone is not the executable project.
What to finish
A notebook/script package with baseline and changed-input evidence.
Watch for this
Filling real missing values without a justified documented source.
How can I tell I understand it?
Complete the changed case, explain your result, and pass the three application checks.
Quick knowledge check
Answer all 3 questions. Get at least 2 right and the lesson completes automatically.
You’ll get an explanation for each answer. Signed in? Your results save to your account.
Pass the check. We’ll save the progress.
Answer all 3 questions above and get at least 2 right. You can review the explanations and try again.
Go to the knowledge checkOptional course overview video · same video as Lesson 1
Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
From Corey Schafer. Watch here or open it on YouTube .
Optional course overview. Follow the written steps below at your own pace.Tools, templates, and lesson sources
Tools and templates
Tools open in a new tab so you can keep your place here.
Sources and further reading
Explore the references behind this lesson.
Source & access notes · checked 2026-09-12
Opened and inspected on 2026-09-12: Preserving raw data and recording transformations.
Access: Free public web page; no paid enrollment required.
Reuse: The linked curriculum license page identifies instructional material as CC BY 4.0. Link only; LifeStarter data, code and explanations are independently authored.
Source & access notes · checked 2026-09-12
Opened and inspected on 2026-09-12: Notebook export options and dependencies.
Access: Free public web page; no paid enrollment required.
Reuse: Public reference; link only. LifeStarter prose, exercises and files are independently authored.
Source & access notes · checked 2026-09-12
Opened and inspected on 2026-09-12: Directory structure, metadata and project handoff.
Access: Free public web page; no paid enrollment required.
Reuse: The linked curriculum license page identifies instructional material as CC BY 4.0. Link only; LifeStarter data, code and explanations are independently authored.
Report a problem with this lesson
Tell us what went wrong. Please leave out personal information and private project contents.