What you will build
Make the Personal budget table predictable by giving each column one clear field (Date, Category, Description, Amount, Status) and keeping dates, numbers, text, and statuses consistent.
Learning objectives
Open the practice workbook
Practice in your own copy
Make your own Google Sheets copy with the same data, formulas, formatting, filter and frozen header. The original remains unchanged.
Sign in to Google. If the original is not publicly shared, download the full workbook and import it into Google Sheets, or paste the example data into your own sheet.
Hands-on practice
Step 1: Review every column header and make it describe exactly one field.
Step 2: Check each column for one consistent data type; convert dates/numbers that are stored as text before building formulas or filters.
Step 3: Add one test value per column and confirm Sheets interprets it the same way as existing rows, then remove the test row.
Checkpoint
| Date | Category | Description | Amount | Status |
|---|---|---|---|---|
| 2026-09-01 | Income | Salary | 1500 | Posted |
| 2026-09-02 | Food | Groceries | 85 | Posted |
| 2026-09-03 | Transport | Bus pass | 30 | Planned |
| 2026-09-05 | Housing | Rent | 700 | Planned |
Checkpoint for “Design headers and data types for Personal budget”: the Date, Category, Description, Amount, Status columns and sample records must still match this table after the lesson action.
Common mistakes and fixes
Correction: return to the exact range and command named in the steps, then compare the live sheet with the Date, Category, Description, Amount, Status source fields.
Independent practice
Add one row with the same schema, repeat the action, verify the new row behaves correctly, then remove it to restore the sample.
Key takeaways
- ✓Make the Personal budget table predictable by giving each column one clear field (Date, Category, Description, Amount, Status) and keeping dates, numbers, text, and statuses consistent.
- ✓Review every column header and make it describe exactly one field.
- ✓Check each column for one consistent data type; convert dates/numbers that are stored as text before building formulas or filters.
- ✓If the result differs, repeat “Review every column header and make it describe exactly one field.” and then “Check each column for one consistent data type; convert dates/numbers that are stored as text before building formulas or filters.”. Verify the working table still uses Date, Category, Description, Amount, Status before changing source values.
- ✓Add one row with the same schema, repeat the action, verify the new row behaves correctly, then remove it to restore the sample.
Check your understanding
Answer four questions about the practice sheet.
Next lesson
Continue in recommended learning order with Add safe dropdowns to Personal budget.
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