Transform your spreadsheet data into actionable charts on delivery speed, refund rates, and QC consistency.
For savvy EastMallBuy users, the order history spreadsheet is a goldmine of information. However, raw data—rows of dates, statuses, and amounts—can be overwhelming. The key to unlocking its value is data visualization. By turning this data into charts, you can spot trends, identify issues, and make more informed purchasing decisions. This guide walks you through the process.
Step 1: Prepare Your EastMallBuy Data
First, ensure your spreadsheet is organized. Essential columns should include:
- Order Date:
- Received Date:
- Order Status:
- QC Status:
- Product Category/Seller:
- Received Date:
Clean your data: fill in blanks, standardize terms (e.g., always use "Refunded"), and calculate the Delivery Days
Step 2: Choose Your Charts and Insights
1. Visualizing Delivery Speed Over Time
Goal:
How to Chart: Insight Gained:
[Sample Line Chart: Showing "Average Delivery Days" per Month.]
2. Tracking Refund Rates
Goal:
How to Chart: Insight Gained:
[Sample Stacked Bar Chart: Showing "Completed" vs. "Refunded" orders per Quarter.]
3. Analyzing QC (Quality Control) Consistency
Goal:
How to Chart: Insight Gained:
[Sample Column Chart: "QC Fail Rate % by Seller".]
Step 3: Tools to Create Your Visualizations
You don't need complex software:
- Spreadsheet Software (Excel, Google Sheets):
- Google Data Studio / Looker Studio:
- Simple Dashboards:AirtableZoho Analytics
- Google Data Studio / Looker Studio:
Turning Insights into Action
A static list of orders tells you what happened. Visualized EastMallBuy data tells you whywhat's next.
- Action on Delivery:
- Action on Refunds:
- Action on QC:
- Action on Refunds:
By dedicating a short time to visualize your EastMallBuy spreadsheet, you transition from a reactive buyer to a strategic, data-driven shopping expert.