{"id":23243143,"url":"https://github.com/bhaveshbhakta/amazon-sales-data-visualization","last_synced_at":"2026-05-18T07:33:37.507Z","repository":{"id":266519311,"uuid":"898586335","full_name":"BhaveshBhakta/Amazon-Sales-Data-Visualization","owner":"BhaveshBhakta","description":"Amazon Sales Data Visualization","archived":false,"fork":false,"pushed_at":"2024-12-06T17:24:16.000Z","size":827,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-27T20:40:02.811Z","etag":null,"topics":["amazon-sales-data-analysis","data-analysis","data-preprocessing","data-visualization","machine-learning"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/BhaveshBhakta.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2024-12-04T16:56:29.000Z","updated_at":"2025-01-05T13:28:59.000Z","dependencies_parsed_at":"2025-02-12T05:36:36.695Z","dependency_job_id":"9ce24618-cd32-4b4f-8c42-5279eab4ab56","html_url":"https://github.com/BhaveshBhakta/Amazon-Sales-Data-Visualization","commit_stats":null,"previous_names":["bhaveshbhakta/amazon-sales-data-visualization"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/BhaveshBhakta/Amazon-Sales-Data-Visualization","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BhaveshBhakta%2FAmazon-Sales-Data-Visualization","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BhaveshBhakta%2FAmazon-Sales-Data-Visualization/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BhaveshBhakta%2FAmazon-Sales-Data-Visualization/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BhaveshBhakta%2FAmazon-Sales-Data-Visualization/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BhaveshBhakta","download_url":"https://codeload.github.com/BhaveshBhakta/Amazon-Sales-Data-Visualization/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BhaveshBhakta%2FAmazon-Sales-Data-Visualization/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33169271,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-18T05:43:36.989Z","status":"ssl_error","status_checked_at":"2026-05-18T05:43:19.133Z","response_time":71,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["amazon-sales-data-analysis","data-analysis","data-preprocessing","data-visualization","machine-learning"],"created_at":"2024-12-19T06:15:21.984Z","updated_at":"2026-05-18T07:33:37.473Z","avatar_url":"https://github.com/BhaveshBhakta.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Amazon Sales Data Visualization\r\n\r\nThis project focuses on analyzing and visualizing Amazon sales data to uncover insights through various data visualization techniques. The dataset contains 1,426,337 rows with a size of 18,542,381. Using libraries like `matplotlib` and `seaborn`, we performed extensive data analysis and visualizations, providing insights into different aspects of the sales data.\r\n\r\n## Project Overview\r\n\r\nThe project involves the following key steps:\r\n1. **Exploratory Data Analysis (EDA)**: Initial exploration of the dataset to understand its structure and identify missing values, outliers, and key features.\r\n2. **Pandas Profiling**: Utilized the pandas profiling library to perform automated exploratory data analysis and generate a comprehensive report.\r\n3. **Data Visualization**: Implemented various visualizations to present insights into:\r\n   - **Descriptive Analysis**: Overview of key statistics of the data.\r\n   - **Comparative Analysis**: Comparison of sales data across different categories.\r\n   - **Category-wise Insights**: Insights into the sales performance of different product categories.\r\n   - **Monthly Analysis**: Examination of sales trends over different months.\r\n   - **Top-N Items**: Identifying top-selling items based on various metrics.\r\n   - **Correlation**: Analyzing the relationships between different numerical variables.\r\n\r\n## Libraries Used\r\n\r\n- `matplotlib`: For creating static, animated, and interactive visualizations.\r\n- `seaborn`: For making attractive and informative statistical graphics.\r\n- `pandas`: For data manipulation and analysis.\r\n- `pandas_profiling`: For generating an EDA report.\r\n\r\n## Data Source\r\n\r\nKaggle - https://www.kaggle.com/datasets/asaniczka/amazon-products-dataset-2023-1-4m-products\r\n\r\n## Installation\r\n\r\nTo get started with the project, clone the repository and install the required dependencies:\r\n\r\n```bash\r\ngit clone https://github.com/BhaveshBhakta/Amazon-Sales-Data-Visualization.git\r\ncd Amazon-Sales-Data-Visualization\r\n```\r\n\r\n## Results and Insights\r\n\r\nThe project provides valuable insights into the sales patterns and trends of products sold on Amazon, helping to understand:\r\n- Which categories are performing the best.\r\n- Sales trends over different months.\r\n- The correlation between different features such as price, sales volume, and category.\r\n\r\n## Contributing\r\n\r\nFeel free to fork this repository, contribute, or open issues for suggestions and improvements!\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbhaveshbhakta%2Famazon-sales-data-visualization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbhaveshbhakta%2Famazon-sales-data-visualization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbhaveshbhakta%2Famazon-sales-data-visualization/lists"}