KAKOBUY: Visualizing QC Trends & Refund Ratios

Harness the power of charts and pivot tables to gain instant insights into product quality and seller performance.

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:

Conclusion

At KAKOBUY, data-driven decision-making is paramount. By leveraging pivot tables to organizecharts to visualize
Start building your visual dashboard today—uncover the patterns hidden in your data.

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%

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