{"id":25146557,"url":"https://github.com/csfelix/datascience-exercises","last_synced_at":"2025-07-05T02:06:06.301Z","repository":{"id":149420449,"uuid":"496371179","full_name":"CSFelix/DataScience-Exercises","owner":"CSFelix","description":"🐍 Just some DataScience exercises, nothing more... 🐍 (🔑 KeyWords: python, data science, data analysis, pandas 🔑)","archived":false,"fork":false,"pushed_at":"2022-10-05T17:58:13.000Z","size":206,"stargazers_count":7,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-04-28T12:52:46.309Z","etag":null,"topics":["data-analysis","data-science","datascience","pandas","python","python3"],"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/CSFelix.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,"zenodo":null}},"created_at":"2022-05-25T19:54:38.000Z","updated_at":"2023-07-05T11:28:19.000Z","dependencies_parsed_at":null,"dependency_job_id":"7a33f29b-1f74-4942-b2d0-4b09ae1798ff","html_url":"https://github.com/CSFelix/DataScience-Exercises","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/CSFelix/DataScience-Exercises","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CSFelix%2FDataScience-Exercises","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CSFelix%2FDataScience-Exercises/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CSFelix%2FDataScience-Exercises/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CSFelix%2FDataScience-Exercises/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CSFelix","download_url":"https://codeload.github.com/CSFelix/DataScience-Exercises/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CSFelix%2FDataScience-Exercises/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263647770,"owners_count":23494007,"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","data-science","datascience","pandas","python","python3"],"created_at":"2025-02-08T20:19:24.751Z","updated_at":"2025-07-05T02:06:06.286Z","avatar_url":"https://github.com/CSFelix.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003e🌟 DataScience Exercises 🌟\u003c/h1\u003e\n\n----\n\u003cbr\u003e\n\n### `❓ What's it? ❓`\n\n* My first exercises in DataScience with python!!\n\n----\n\u003cbr\u003e\n\n### `⚒️ Tools ⚒️`\n\n* Python version 3.6 or above;\n* Anaconda and Python DataScience Stack (pandas in particular);\n* Jupyter Notebook\n\n----\n\u003cbr\u003e\n\n### `⚙️ Run ⚙️`\n\n\u003e **Installing Pandas**\n\n* If you have the anaconda python installed, the pandas library is already installed. Else, open the cmd/prompt and type:\n\n```\npip install pandas\n```\n\n\u003cbr\u003e\n\n\u003e **Running the Project**\n\n* Download this repository, open the cmd/prompt in the downloaded files directory and type:\n\n```\njupyter notebook\n```\n\n----\n\u003cbr\u003e\n\n### `📝 Notes 📝`\n\n* **DataSets:** the datasets used in the exercises can be found in the folloiwn Kaggle links:\n\n\n**- purchases.txt: https://www.kaggle.com/datasets/dsfelix/purchasestxt**\n\u003cbr\u003e\n**- access_log: https://www.kaggle.com/datasets/dsfelix/access-log**\n\u003cbr\u003e\n**- forum_users.tsv: https://www.kaggle.com/datasets/dsfelix/forum-users**\n\u003cbr\u003e\n**- forum_node.tsv: https://www.kaggle.com/datasets/dsfelix/forum-node**\n\n\n----\n\u003cbr\u003e\n\n### `🎁 Bonus 🎁`\n\n* If you have ideas of how to improve the code and the analysis, feel free to create branches of this project!!\n\n----\n\u003cbr\u003e\n\n### `📫 Reach Me 📫`\n\n\u003e **Email:** **[csfelix08@gmail.com](mailto:csfelix08@gmail.com?)**\n\n\u003e **Linkedin:** **[linkedin.com/in/csfelix/](https://www.linkedin.com/in/csfelix/)**\n\n\u003e **Instagram:** **[instagram.com/c0deplus/](https://www.instagram.com/c0deplus/)**\n\n----\n\n\u003e **Portfolio:** **[CSFelix.io](https://csfelix.github.io/)**\n\n\u003e **Kaggle:** **[DSFelix](https://www.kaggle.com/dsfelix)**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcsfelix%2Fdatascience-exercises","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcsfelix%2Fdatascience-exercises","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcsfelix%2Fdatascience-exercises/lists"}