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This dataset is ideal for:
- Practicing ETL pipelines
- Building SQL/Pandas analysis
- Simulating funnel analysis
- Testing dashboards and analytics workflows
Features
- Generates
user_id,session_id, timestamps, event types, page URLs, product IDs, and revenue. - Consistent session-level attributes: device, browser, OS, location, traffic source, campaign.
- Probabilistic funnels with realistic abandonment rates:
view→scroll→click→add_to_cart→purchase
- Non-purchase sessions include browsing events only.
Columns
| Column Name | Description |
|---|---|
user_id |
Unique identifier for a user |
session_id |
Session ID (same for all events in a session) |
timestamp |
Date and time of the event |
event_type |
Event type: view, scroll, click, add_to_cart, purchase |
page_name |
Page URL |
product_id |
Product ID (if applicable) |
device_type |
Device used (desktop, mobile, tablet) |
browser |
Browser used |
os |
Operating system used |
geo_country |
Country of the user |
geo_city |
City of the user |
traffic_source |
Traffic source (google, facebook, email, direct, organic) |
campaign |
Marketing campaign |
referrer_url |
Referrer URL |
revenue |
Revenue generated (only for purchases) |
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