Taobao Sales Data Visualization and Trend Prediction in Spreadsheets
2025-04-25
In today's e-commerce landscape, data-driven decision making is crucial for success. This article demonstrates how to leverage spreadsheets to visualize and analyze Taobao sales data for different product categories, including sales volume, revenue, and customer reviews. Through comprehensive data processing and visualization, we aim to help merchants optimize their marketing strategies and improve sales performance.
1. Collecting and Organizing Taobao Sales Data
To begin our analysis, we first gather sorted Taobao sales data from:
- Official Taobao seller backend analytics
- Third-party e-commerce data platforms
- Customized API data feeds
2. Cleaning and Preparing Data in Spreadsheets
Raw data often requires cleaning before analysis:
Example spreadsheet formula:
=IFERROR(VALUE(SUBSTITUTE(C2,"¥","")),0)
Key preparation steps include:
- Removing duplicate entries
- Standardizing measurement units for comparison
- Categorizing products into logical groups
3. Creating Powerful Visualizations
3.1 Pivot Tables for Category Analysis
Pivot tables enable multi-dimensional comparison of:
| Category | Q1 Sales | Q2 Sales |
|---|---|---|
| Electronics | ¥153,200 | ¥187,740 |
3.2 Choosing the Right Chart Types
Sold Progress
Greater decreases after discounts for electronics
4. Projecting Future Revenue Trajectories
Statistical functions help forecast trends for merchandise markets:
=FORECAST.ETS(target_date, sales_range, date_range)