{"id":20580277,"url":"https://github.com/gajendrasharma-github/exploratory-data-analysis","last_synced_at":"2025-08-19T19:05:15.435Z","repository":{"id":253403181,"uuid":"843397887","full_name":"gajendrasharma-github/Exploratory-Data-Analysis","owner":"gajendrasharma-github","description":"This Repository contains all EDA projects","archived":false,"fork":false,"pushed_at":"2024-08-19T17:38:42.000Z","size":9300,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-06T11:49:36.665Z","etag":null,"topics":["data-visualization","eda","exploratory-data-analysis"],"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/gajendrasharma-github.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":"2024-08-16T12:30:48.000Z","updated_at":"2024-08-19T17:38:44.000Z","dependencies_parsed_at":"2024-11-16T06:33:40.516Z","dependency_job_id":null,"html_url":"https://github.com/gajendrasharma-github/Exploratory-Data-Analysis","commit_stats":null,"previous_names":["gajendrasharma-github/eda-exploring-data-to-uncover-hidden-patterns","gajendrasharma-github/exploratory-data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/gajendrasharma-github/Exploratory-Data-Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gajendrasharma-github%2FExploratory-Data-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gajendrasharma-github%2FExploratory-Data-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gajendrasharma-github%2FExploratory-Data-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gajendrasharma-github%2FExploratory-Data-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gajendrasharma-github","download_url":"https://codeload.github.com/gajendrasharma-github/Exploratory-Data-Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gajendrasharma-github%2FExploratory-Data-Analysis/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":260369872,"owners_count":22998723,"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-visualization","eda","exploratory-data-analysis"],"created_at":"2024-11-16T06:22:20.414Z","updated_at":"2025-06-17T13:33:34.806Z","avatar_url":"https://github.com/gajendrasharma-github.png","language":"Jupyter Notebook","readme":"# Guide to all the projects\n\n**1. Exploring Big Mart Sales** [Link](https://github.com/gajendrasharma-github/Exploratory-Data-Analysis/blob/main/EDA_Big_Mart_Sales.ipynb)\n\n**2. Exploring Student's Grade Dataset** [Link](https://github.com/gajendrasharma-github/EDA-Exploring-Data-to-uncover-hidden-Patterns/blob/main/Students%20Grade%20EDA.ipynb)\n\n**3. Exploring MPG Dataset** [Link](https://github.com/gajendrasharma-github/EDA-Exploring-Data-to-uncover-hidden-Patterns/blob/main/EDA%20-%20MPG%20Dataset.ipynb)\n\n**4. Exploring Iris Dataset** [Link](https://github.com/gajendrasharma-github/EDA-Exploring-Data-to-uncover-hidden-Patterns/blob/main/EDA-Iris%20Dataset.ipynb)\n\n**5. Exploring Penguin Dataset** [Link](https://github.com/gajendrasharma-github/EDA-Exploring-Data-to-uncover-hidden-Patterns/blob/main/Penguin%20EDA.ipynb)\n\n\n# EDA-Exploring-Data-to-uncover-hidden-Patterns\n\n![image](https://github.com/user-attachments/assets/98421ad5-f3b1-4c93-8534-a91d70c6cdcb)\n\nExploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods.The main purpose of EDA is to help look at data before making any assumptions. It can help identify obvious errors, as well as better understand patterns within the data, detect outliers or anomalous events, find interesting relations among the variables.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgajendrasharma-github%2Fexploratory-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgajendrasharma-github%2Fexploratory-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgajendrasharma-github%2Fexploratory-data-analysis/lists"}