Transform raw spreadsheet numbers into actionable insights by converting data into charts for visual clarity.
Your MyCNBox order spreadsheet contains a wealth of data, but rows and columns alone can obscure key trends. Visualization is the key to unlocking clear insights into your supply chain performance. By converting this data into charts, you can intuitively analyze cost efficiency, QC approval rates, and average delivery times.
The Three-Step Visualization Process
- Prepare & Clean Your Data:Order_ID, Cost_USD, QC_Status, Ship_Date, Delivery_Date). Remove duplicates and fill in missing values for accuracy.
- Choose the Right Chart Type:
- For Cost Efficiency:Line ChartBar Chart
- For QC Approval Rates:Pie ChartDonut ChartApproved, Rejected, and Pending
- For Average Delivery Times:HistogramScatter Plot
- Build & Interpret the Charts:
Key Metrics Made Visual
1. Visualizing Cost Efficiency
Plot your per-unit or per-shipment costs over sequential order dates. A downward trend in a line chart highlights improving cost efficiency, while sudden spikes can trigger investigations into supplier pricing or logistics fees.
Chart Suggestion: Multi-line Chart
2. Visualizing QC Approval Rates
A simple pie chart instantly communicates your quality control health. A high "Approved" slice indicates reliable suppliers/manufacturers. Monitoring the "Rejected" segment over time helps gauge quality consistency and production issues.
Chart Suggestion: Stacked Bar Chart
3. Visualizing Average Delivery Times
Calculate delivery time (Delivery_Date - Ship_Date) for each order. A histogram shows how often you experience standard, slow, or expedited deliveries. This visual helps optimize inventory planning and set accurate customer expectations.
Chart Suggestion: Box-and-Whisker Plot
From Data to Decisions
Visualizing your MyCNBox order data transforms a reactive log into a proactive management dashboard. Charts provide the visual clarity