{"id":23084170,"url":"https://github.com/istinnew/eniac_ab_insight","last_synced_at":"2026-04-29T17:34:06.978Z","repository":{"id":264518243,"uuid":"893577722","full_name":"IstinNew/Eniac_AB_Insight","owner":"IstinNew","description":"Dive into a comprehensive analysis aimed at boosting iPhone 13 sales by optimizing the Click-Through Rate (CTR) of the “SHOP NOW” button, compare different button designs and determine the most effective strategy for increasing engagement.","archived":false,"fork":false,"pushed_at":"2024-11-25T18:35:14.000Z","size":355,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-09T03:27:10.562Z","etag":null,"topics":["ab-testing","data","data-analysis","data-engineering","data-science","data-visualization","google","googlecolab","libraries","python","testing","testing-tools","visual-studio-code"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/IstinNew.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-24T19:48:30.000Z","updated_at":"2024-11-25T18:35:18.000Z","dependencies_parsed_at":null,"dependency_job_id":"913d65eb-0a4f-4f6d-a761-aa67b0b39cf1","html_url":"https://github.com/IstinNew/Eniac_AB_Insight","commit_stats":null,"previous_names":["istinnew/eniac_ab_insight"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IstinNew%2FEniac_AB_Insight","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IstinNew%2FEniac_AB_Insight/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IstinNew%2FEniac_AB_Insight/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IstinNew%2FEniac_AB_Insight/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/IstinNew","download_url":"https://codeload.github.com/IstinNew/Eniac_AB_Insight/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247022535,"owners_count":20870813,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ab-testing","data","data-analysis","data-engineering","data-science","data-visualization","google","googlecolab","libraries","python","testing","testing-tools","visual-studio-code"],"created_at":"2024-12-16T15:49:21.674Z","updated_at":"2026-04-29T17:34:01.939Z","avatar_url":"https://github.com/IstinNew.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Eniac A/B Testing Project\n\n## Overview\nThis repository contains the final project for Eniac's A/B testing. The project focuses on improving iPhone 13 sales by increasing the Click-Through Rate (CTR) of the “SHOP NOW” button through A/B testing. This repository includes a detailed analysis, visual interpretation, and relevant scripts.\n\n## Project Structure\n- `Eniac AB Test.ipynb`: Jupyter notebook containing the full analysis and code for the A/B test.\n- `chart.png`: Image file with the A/B test results.\n- `data/`: Folder containing sample datasets used for the analysis.\n- `notebook/`: Folder containing notebook used for the analysis.\n- `results/`: Folder containing the results and plots generated from the analysis.\n\n## Highlights\n- **Data Analysis**: Comprehensive analysis using Jupyter Notebook, providing insights into user behavior and engagement.\n- **Visualization**: Clear and informative visual representations of A/B testing results.\n- **Statistical Methods**: Application of statistical techniques, including chi-square tests, to validate the results.\n- **Reproducibility**: Ensuring reproducibility of results with clearly defined steps and code.\n\n## Challenges\n- **Data Collection**: Ensuring accurate and unbiased data collection for the A/B test.\n- **Analysis Accuracy**: Applying appropriate statistical methods to derive meaningful conclusions.\n- **User Engagement**: Designing effective experiments to measure user engagement accurately.\n- \n## Links to Previous Projects\n1. **First Project**: [Magist Eniac Case Study](https://github.com/IstinNew/magist-eniac-case-study)\n2. **Second Project**: [Eniac's Discount Strategy Analysis](https://github.com/IstinNew/Enaic-s-Discount-Strategy-Analysis)\n\n## Getting Started\n1. **Clone the Repository**:\n    ```sh\n    git clone https://github.com/YOUR_GITHUB_USERNAME/Eniac-A-B-testing.git\n    cd Eniac-A-B-testing\n    ```\n2. **Install Dependencies**:\n    ```sh\n    pip install -r requirements.txt\n    ```\n3. **Run the Jupyter Notebook**:\n    ```sh\n    jupyter notebook \"Eniac AB Test.ipynb\"\n    ```\n## Results (incluing chart)\n[Chart](https://github.com/IstinNew/Eniac_AB_Insight/blob/main/results/chart.png)\n\n**Personal Opinion**: \nAs per performed Chi-square test to check for statistical significance, version C comes as the winner.\nHowvever, between Versions A \u0026 C there is a marginal difference as compared to when comparing with Versions B \u0026 D. Hence would suggest to re-assess the metrics.\n\n## License\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\nHappy coding! 😊📊✨\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fistinnew%2Feniac_ab_insight","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fistinnew%2Feniac_ab_insight","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fistinnew%2Feniac_ab_insight/lists"}