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A/B Test User Behaviour Aggregated Data
Data Science and Analytics
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About
This dataset presents aggregated user-level results from an A/B test. It offers insights into the outcomes of an experiment, specifically detailing user interactions such as views and clicks. The primary purpose of this dataset is to facilitate the analysis of experimental results and inform data-driven recommendations for product or feature development.
Columns
- user_id: A unique identifier assigned to each participant in the experiment. This field ranges from 1 to 80,000.
- group: Indicates the assignment of a user to either the 'control' group or the 'treatment' group, allowing for comparison of different experiment variations. The 'control' group represents 50% of the data.
- views: The total number of times content was viewed by a specific user during the experiment. Values range from 1 to 206, with an average of 5 views per user.
- clicks: The total number of clicks performed by a specific user during the experiment. Values range from 0 to 21, with an average of 0.37 clicks per user.
Distribution
The data is provided in a tabular format, typically a CSV file (e.g.,
ab_test_results_aggregated_views_clicks_6.csv). It contains aggregated data representing the experiment's results. There are 80,000 valid entries across all fields, ensuring a robust sample size for analysis.Usage
This dataset is ideal for statistical analysis of A/B test performance. It can be used to:
- Evaluate the impact of a specific treatment or change on user engagement metrics like views and clicks.
- Compare the effectiveness of different user groups (control versus treatment).
- Identify trends and patterns in user behaviour during an A/B test.
- Inform decisions and generate actionable recommendations for product enhancements or marketing strategies.
Coverage
The dataset focuses on user-level aggregated data from an A/B test. It does not specify geographic locations or a particular time range for data collection. The scope is limited to the direct outcomes of the experiment concerning user views and clicks.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Analysts: For conducting deep dives into experiment outcomes, hypothesis testing, and statistical modelling.
- Product Managers: To assess the success of new features, design iterations, or user experience improvements based on quantitative data.
- Marketing Professionals: To understand the impact of different campaign elements on user interaction and optimise campaigns.
- Researchers: For academic studies on user behaviour, digital experimentation, or A/B testing methodologies.
Dataset Name Suggestions
- A/B Test User Behaviour Aggregated Data
- Experiment Results: Views and Clicks
- User Engagement A/B Test Data
- Digital Product Experiment Metrics
- Aggregated A/B Test User Interaction
Attributes
Original Data Source: A/B Test User Behaviour Aggregated Data
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