{"id":20356688,"url":"https://github.com/datasqlsantosh/project-portfolio-e-commerce-data-analysis","last_synced_at":"2025-09-11T13:04:28.001Z","repository":{"id":214729040,"uuid":"737220538","full_name":"datasqlsantosh/Project-Portfolio-E-commerce-data-Analysis","owner":"datasqlsantosh","description":"In this personal Project-Portfolio-E-commerce-Data Analysis project, an exploratory data analysis was performed on the E-commerce Data available on Kaggle. The main aim of the project is to uncover insights into the store's sales and profits trends and patterns from 2018 to 2019.","archived":false,"fork":false,"pushed_at":"2023-12-30T08:51:10.000Z","size":300,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-03-04T17:43:53.294Z","etag":null,"topics":["data-cleaning","data-visualization","database","dataset","exc","power-bi","sql"],"latest_commit_sha":null,"homepage":"","language":null,"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/datasqlsantosh.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":"2023-12-30T08:25:38.000Z","updated_at":"2023-12-31T11:15:40.000Z","dependencies_parsed_at":null,"dependency_job_id":"d4f3ded2-69a6-485a-ac79-0e89eb67d06b","html_url":"https://github.com/datasqlsantosh/Project-Portfolio-E-commerce-data-Analysis","commit_stats":null,"previous_names":["datasqlsantosh/project-portfolio-e-commerce-data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/datasqlsantosh/Project-Portfolio-E-commerce-data-Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datasqlsantosh%2FProject-Portfolio-E-commerce-data-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datasqlsantosh%2FProject-Portfolio-E-commerce-data-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datasqlsantosh%2FProject-Portfolio-E-commerce-data-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datasqlsantosh%2FProject-Portfolio-E-commerce-data-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/datasqlsantosh","download_url":"https://codeload.github.com/datasqlsantosh/Project-Portfolio-E-commerce-data-Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datasqlsantosh%2FProject-Portfolio-E-commerce-data-Analysis/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261994003,"owners_count":23241922,"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":["data-cleaning","data-visualization","database","dataset","exc","power-bi","sql"],"created_at":"2024-11-14T23:17:27.926Z","updated_at":"2025-06-26T03:31:08.135Z","avatar_url":"https://github.com/datasqlsantosh.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Project-Portfolio-E-commerce-data-Analysis\n\nIn this E-commerce state Sales Power Data Analysis project, an exploratory data analysis was performed on the E-commerce Sales Data available on Kaggle. \nThe main aim of the project is to uncover insights into the E-commerce data and profits trends and patterns from 2018 to 2019. After cleaning and preprocessing the data,\nthe profits trends were visualized by states, region, category, sub-category and timeline (years or quarters). Additionally, \ntop-performing, least-performing products and the most profitable customers were identified. After, the data is displayed in a Power Bi interactive dashboard. \n2 versions of the dashboard exist. A yearly focus and a quarterly focus. \nThe analysis below provided valuable insights into the E-commerce data and profits performance and identified areas for improvement. \nThe project demonstrated the usefulness of Power Bi in data analysis and decision-making. \n\nThe link to the original dataset on Kaggle: https://www.kaggle.com/datasets/benroshan/ecommerce-data\n\nThank you !\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatasqlsantosh%2Fproject-portfolio-e-commerce-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdatasqlsantosh%2Fproject-portfolio-e-commerce-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatasqlsantosh%2Fproject-portfolio-e-commerce-data-analysis/lists"}