✅ Final Data Analysis Checklist
Run through these questions before you say the project is done. Tick every box so your work is clear, useful, and ready to share.
☐ Can I explain the main question in one short line?
☐ Did I write a one‑sentence insight that answers that question?
☐ Are data sources named and saved in a safe folder?
☐ Did I note any filters, gaps, or odd quirks in the data?
☐ Do summary stats match the raw files after cleaning?
☐ Is every step in the notebook or script easy to read?
☐ Can someone else run the code top to bottom with no errors?
☐ Did I set a clear random seed if I used sampling or models?
☐ Did I list the key assumptions in plain words?
☐ Did I state at least one limit of the data or method?
☐ Are top findings written in bullet points, not long paragraphs?
☐ Do numbers have units or percent signs where needed?
☐ Did I double‑check any very high or low values?
☐ Is every chart title a takeaway, not just a label?
☐ Are axes, legends, and colors clear for someone new?
☐ Do charts follow a clear order that tells a story?
☐ Did I link each insight to a real action or decision?
☐ Is there a short list of next steps or questions to explore?
☐ Is there a README or slide that outlines goals, data, and tools?
☐ Are column names and terms defined or linked to a data dictionary?
☐ Is the project folder tidy with raw, interim, and final files?
☐ Did at least one person skim the work and understand it?
☐ Did I fix any issues they found?
☐ Is the final report or dashboard shared in the right format?
☐ Do links, file permissions, and visuals load for others?
☐ Did I back up the final version with a clear date stamp?
💡 Tip: Print this list or save it in your project template. A five‑minute check today can save hours of fixes tomorrow.