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Global Web Traffic

Kaggle

@kaggle.maazshaikh05_global_web_traffic

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Synthetic global web traffic dataset for analytics and ML practice

Dataset Description

The Global Web Traffic Dataset is a synthetic dataset simulating 2,000 website visits from users across 20 countries. Each record represents a unique visit and includes date, country, traffic source, device type, browser, page visited, session duration, pages viewed, bounce, and conversion.

This dataset is programmatically generated to mimic realistic user behavior. Devices, traffic sources, session durations, pages viewed, bounce rates, and conversions are generated using probability-weighted sampling and realistic ranges. All data is synthetic, containing no personal or sensitive information, making it safe and reusable for educational and professional purposes.

Intended Uses:

Exploratory Data Analysis (EDA): Identify trends in global web traffic.

Data Visualization: Build dashboards, heatmaps, and charts.

Machine Learning Practice: Train models for predicting bounce, session duration, or conversions.

Educational & Research Projects: Learn web analytics, user behavior modeling, or data preprocessing.


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