Write Down What You Found
Turning observations into next steps.
Write Down What You Found is a free Data Science Academy lesson on CoddyKit — lesson 4 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Data Science Academy learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.
Findings Need Words
A chart no one explains is wasted work. The real value of EDA appears when you turn plots into written findings. ✍️
Write As You Go
Do not wait until the end to take notes. Jot each observation the moment you see it, before the detail fades from memory.
Markdown Beside Code
Notebooks let you mix prose and code. A markdown cell under each chart captures what it shows in plain language.
# Finding: churn is 3x higher on monthly plansObservation, Not Guess
Separate what the data shows from what you suspect. State the observation first, then mark any explanation clearly as a guess.
Tie Findings to Questions
Each note should answer one of your starting questions. Linking a finding to its question shows whether you have made real progress.
Quantify When You Can
Higher is vague; 28 percent higher is useful. Adding a number to each finding makes it concrete and easy to defend later.
Flag Data Quality Issues
Note the messy parts too: missing months, odd outliers, duplicate IDs. These caveats protect anyone who reuses your work.
List Open Questions
Exploration always raises new puzzles. Keeping a running list of open questions turns dead ends into tomorrow's starting points.
Turn Notes Into Next Steps
Findings should point somewhere. Convert your strongest notes into a short list of clear next steps, like cleaning a column or building a model.
Write a Short Summary
Close the notebook with a few sentences anyone can read. A plain-language summary is what stakeholders will actually remember.
Make It Reproducible
Good notes let someone rerun your path. Clear cells and a tidy summary mean your findings hold up when checked by others.
Quick Check
Where do your written findings best belong during EDA?
Recap: Capture and Conclude
You record observations as you go, quantify them, flag caveats, and end with next steps and a plain summary. Findings drive action. ✅
Frequently asked questions
Is the “Write Down What You Found” lesson free?
Yes — the full text of “Write Down What You Found” is free to read here on the web, and the Data Science Academy course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Data Science Academy course, upgrade to CoddyKit PRO.
What will I learn in “Write Down What You Found”?
Turning observations into next steps. You practise Data Science Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start Data Science Academy?
No prior experience is required. Data Science Academy on CoddyKit is structured for beginners through advanced learners; this is — lesson 4 of 4, so you can start here or from the beginning and move at your own pace.
How long does the “Write Down What You Found” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this Data Science Academy lesson?
Yes. Every Data Science Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- Frame the Questions First
- Profile Every Column
- Univariate Then Bivariate
- Write Down What You Found