EastMallBuy: Visualizing Your Order History with Data Charts
Transform your raw spreadsheet data into clear insights on delivery speed, refund rates, and quality control.
Your EastMallBuy order history spreadsheet is a goldmine of information, but raw numbers alone can be overwhelming. By visualizing this data, you can track performance trends, identify potential issues, and make more informed purchasing decisions. This guide will show you how to create meaningful charts to analyze delivery speed, refund rates, and QC consistency over time.
Preparing Your Data
First, ensure your spreadsheet has consistent, clean data. Key columns should include:
- Order Date:
- Delivery Date:
- Order Status:
- QC Result:
- Supplier/Vendor Name:
- Delivery Date:
Create separate tables or pivot tables to summarize the raw data for each metric you want to chart.
1. Charting Delivery Speed Over Time
Objective: Track how long it takes to receive orders and identify slowdowns.
Steps:
- Create a new column,
Delivery Time, calculating the days between Order Date and Delivery Date. - Create a pivot table: Rows =
Order DateDelivery Time. - Insert a Line Chart
Example Chart Insight:
A line chart showing the average delivery days per month. A rising trendline in Q4 might indicate holiday season delays, helping you plan future orders.
2. Analyzing Refund Rates
Objective: Monitor the percentage of orders refunded and spot problematic vendors or periods.
Steps:
- Create a pivot table: Rows =
Order DateOrder Status. - Calculate the refund rate: (Count of "Refunded") / (Total Orders) for each month.
- Insert a Clustered Column ChartLine Chart
Example Chart Insight:
A dual-axis chart with columns for total orders and a line for the refund rate. A spike in the refund line for a specific month may correlate with a new vendor, signaling a need for investigation.
3. Tracking QC (Quality Control) Consistency
Objective: Ensure product quality remains stable or improves over time.
Steps:
- Create a helper column to flag QC results, e.g., "Pass" = 1, "Fail" or "Has Issues" = 0.
- Create a pivot table: Rows =
Order DateQC Score- Insert a Bar or Line Chart. An average closer to 1 indicates consistent quality.
- Pro Tip:
Example Chart Insight:
A line chart displaying the monthly average QC pass rate. A gradual decline might indicate slipping standards from a major supplier, prompting a review of your QC communication with them.
Bringing It All Together: A Dashboard
For the best overview, place all three charts on a single dashboard sheet in your spreadsheet. Update it monthly:
- Delivery Speed Chart:
- Refund Rate Chart:
- QC Consistency Chart:
- Refund Rate Chart:
By regularly visualizing your EastMallBuy data, you move from reactive problem-solving to proactive supply chain management. Start with these basic charts and expand your analysis as you discover more key metrics in your data.