{"id":20401732,"url":"https://github.com/amrrs/introduction-to-eda-with-python","last_synced_at":"2025-09-12T11:47:34.304Z","repository":{"id":38307392,"uuid":"149881428","full_name":"amrrs/introduction-to-eda-with-python","owner":"amrrs","description":"Introduction to EDA with Python Session Files","archived":false,"fork":false,"pushed_at":"2022-06-23T05:47:56.000Z","size":20302,"stargazers_count":3,"open_issues_count":0,"forks_count":3,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-03-26T08:51:36.401Z","etag":null,"topics":["data-analysis","eda","python"],"latest_commit_sha":null,"homepage":null,"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/amrrs.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}},"created_at":"2018-09-22T13:52:29.000Z","updated_at":"2022-06-23T05:47:59.000Z","dependencies_parsed_at":"2022-09-21T02:57:38.668Z","dependency_job_id":null,"html_url":"https://github.com/amrrs/introduction-to-eda-with-python","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amrrs%2Fintroduction-to-eda-with-python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amrrs%2Fintroduction-to-eda-with-python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amrrs%2Fintroduction-to-eda-with-python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amrrs%2Fintroduction-to-eda-with-python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/amrrs","download_url":"https://codeload.github.com/amrrs/introduction-to-eda-with-python/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248578824,"owners_count":21127713,"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-analysis","eda","python"],"created_at":"2024-11-15T04:51:33.762Z","updated_at":"2025-04-12T14:14:51.032Z","avatar_url":"https://github.com/amrrs.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Introduction to EDA with Python\nIntroduction to EDA with Python Session Files\n\n### Instructions:\n\n* Download/Clone this repo \n* Make sure your machine has `Python` above `version 3.x` and `Jupyter Notebook` installed in it\n* Install required packages mentioned in the `requirements.txt` file \n* Download the input data from (clicking this link will download the file) [Kaggle](https://www.kaggle.com/stackoverflow/stack-overflow-2018-developer-survey/downloads/survey_results_public.csv/2), save it and unzip the csv in the same folder where you have repo contents\n* Open your terminal / shell and go to this repo folder and run `jupyter notebook` and click/open `introduction-to-eda-with-python.ipynb` file\n* Run all the cells to see if everything works fine\n\nIf you don't want to do any of this above and want to try this online, Here's the [Kaggle Kernel](https://www.kaggle.com/nulldata/introduction-to-eda-with-python) where you can just log in and start running the notebook. \n\n### Licensing:\n\nMy code is distributed under [MIT License](LICENSE) and the dataset license is as it is in the original source [Kaggle](https://www.kaggle.com/stackoverflow/stack-overflow-2018-developer-survey) License\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famrrs%2Fintroduction-to-eda-with-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famrrs%2Fintroduction-to-eda-with-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famrrs%2Fintroduction-to-eda-with-python/lists"}