{"id":21022569,"url":"https://github.com/alro10/data-science-visualization","last_synced_at":"2026-02-02T00:03:20.100Z","repository":{"id":121032830,"uuid":"180246032","full_name":"Alro10/data-science-visualization","owner":"Alro10","description":"How to start to visualize data for Data Scientist","archived":false,"fork":false,"pushed_at":"2019-04-17T23:47:10.000Z","size":13,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-06-18T17:48:44.767Z","etag":null,"topics":["data-science","data-visualization","matplotlib","plot","plotly","plotly-dash","plotly-python","seaborn-plots"],"latest_commit_sha":null,"homepage":"","language":null,"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/Alro10.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-04-08T23:05:13.000Z","updated_at":"2019-04-17T23:47:11.000Z","dependencies_parsed_at":null,"dependency_job_id":"4c8c6e9b-9aa9-4fca-b090-89b9e3940ec9","html_url":"https://github.com/Alro10/data-science-visualization","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Alro10/data-science-visualization","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alro10%2Fdata-science-visualization","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alro10%2Fdata-science-visualization/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alro10%2Fdata-science-visualization/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alro10%2Fdata-science-visualization/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Alro10","download_url":"https://codeload.github.com/Alro10/data-science-visualization/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Alro10%2Fdata-science-visualization/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28996568,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-01T23:10:54.274Z","status":"ssl_error","status_checked_at":"2026-02-01T23:10:47.298Z","response_time":56,"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":["data-science","data-visualization","matplotlib","plot","plotly","plotly-dash","plotly-python","seaborn-plots"],"created_at":"2024-11-19T11:12:49.746Z","updated_at":"2026-02-02T00:03:20.084Z","avatar_url":"https://github.com/Alro10.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# data-science-visualization\nIn order to become a Data Scientist, plot and visualize data from files such as csv, txt, etc, turn important and also really cool. How do you infer about some data? If you do not see on ```XYZ```, using awesome packages running on G colab, jupyter or script form.\n\nunder developing!\n\n\n## Matplotlib\n\nFamous and well-known python package, for beginners is very common use it.\n\n\n\n```python\npip install matplotlib # python 2.7\npip3 install matplotlib # python 3.5\n```\n\n```\nimport matplotlib.pyplot as plt\n```\n\n## Seaborn\n\n[Seaborn](https://seaborn.pydata.org/) is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.\n\n```python\npip install seaborn # python 2.7\npip3 install seaborn  # python 3.5\n```\n\n```\nimport seaborn as sns\n```\n\n\n\n## Plotly\n\nAn open-source, interactive graphing library for Python, [Plotly](https://plot.ly/python/)\n\n\n```python\npip install plotly  # python 2.7\npip3 install plotly   # python 3.5\n```\n```\nimport plotly.plotly as py\n```\n\n*Function for using plotly on G colab*\n\n```python\ndef configure_plotly_browser_state():\n  import IPython\n  display(IPython.core.display.HTML('''\n        \u003cscript src=\"/static/components/requirejs/require.js\"\u003e\u003c/script\u003e\n        \u003cscript\u003e\n          requirejs.config({\n            paths: {\n              base: '/static/base',\n              plotly: 'https://cdn.plot.ly/plotly-1.5.1.min.js?noext',\n            },\n          });\n        \u003c/script\u003e\n        ''')) # python 3.5\n```\n\n\n*Collaborations and contributions are very welcome!* :+1:\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falro10%2Fdata-science-visualization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falro10%2Fdata-science-visualization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falro10%2Fdata-science-visualization/lists"}