The Challenge: Data Overload
On KAKOBUY's platform, raw data on Quality Control (QC) failurescustomer refunds
The Solution: Dynamic Visualization
Transforming this data into interactive chartspivot tables
1. Mastering the Pivot Table
A pivot table is your primary tool for summarizing and restructuring data without formulas.
- Build Your Analysis:
- Slice by Time:
- Refund Analysis:
Example Pivot Table View
| Seller | Minor Defect | Major Defect | Passed | Total Inspected | Failure Rate |
| Seller_A | 15 | 5 | 180 | 200 | 10.0% |
| Seller_B | 8 | 12 | 130 | 150 | 13.3% |
| Seller_C | 3 | 2 | 195 | 200 | 2.5% |
2. Charting the Trends
Use charts built from your pivot tables for immediate pattern recognition.
Line Chart: Trend Tracking
Plot Weekly Refund Ratio (%)QC Pass Rate
Bar Chart: Comparison
Compare Top 5 Defect TypesSeller Failure Rates. Visual ranking highlights the most critical areas for intervention.
Pie/Donut Chart: Proportion
Show the percentage breakdown of refund reasons
Recommended Action Workflow
- Consolidate Data:
- Create Master Pivot:
- Generate Key Charts:
- Spot & Act:
- Automate & Share: