Advanced 📑 Reports
WebShop Analytics Report
Build a comprehensive webshop analytics report that uses statistical expressions including Sum, Average, Median, and Standard Deviation to analyze product sales data. A powerful example of combining data analysis with report generation for e-commerce insights.
VB6 Python Analytics Statistics
What You'll Learn
1
Calculate statistical expressions (Sum, Avg, Median, StDev) 2
Analyze e-commerce product data 3
Create comprehensive analytics reports 4
Combine multiple data sources in reports Controls Used
Use Cases
- E-commerce analytics
- Statistical analysis
- Business intelligence
📑
Try the WebShop Analytics Report Example
Open this example in WebVB Studio and start experimenting. Modify the code, tweak the controls, and make it your own.
Open in WebVB StudioRelated Examples
S
Sales Report
IntermediateGenerate printable reports programmatically.
VB6PythonReport
G
Grouped Report
AdvancedAdvanced report with grouping, filtering, and HTML export.
VB6PythonReport
D
DataGrid + Pandas Analytics
AdvancedWebshop analytics with DataGrid, pandas, and matplotlib charts.
PythonPandasMatplotlib