{"id":22445455,"url":"https://github.com/anas436/data-visualization-with-python","last_synced_at":"2025-09-09T23:32:41.561Z","repository":{"id":110394416,"uuid":"514339871","full_name":"Anas436/Data-Visualization-with-Python","owner":"Anas436","description":null,"archived":false,"fork":false,"pushed_at":"2022-07-15T16:51:40.000Z","size":441,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-02-01T15:30:58.110Z","etag":null,"topics":["jupyterlab","matplotlib","matplotlib-pyplot","numpy","pandas","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/Anas436.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":"2022-07-15T16:45:22.000Z","updated_at":"2022-10-05T18:43:39.000Z","dependencies_parsed_at":null,"dependency_job_id":"8279d431-8820-437b-9b06-7086c334ecde","html_url":"https://github.com/Anas436/Data-Visualization-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/Anas436%2FData-Visualization-with-Python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anas436%2FData-Visualization-with-Python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anas436%2FData-Visualization-with-Python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anas436%2FData-Visualization-with-Python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Anas436","download_url":"https://codeload.github.com/Anas436/Data-Visualization-with-Python/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245832680,"owners_count":20679701,"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":["jupyterlab","matplotlib","matplotlib-pyplot","numpy","pandas","python3"],"created_at":"2024-12-06T03:14:30.748Z","updated_at":"2025-03-27T10:44:43.751Z","avatar_url":"https://github.com/Anas436.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Data-Visualization-with-Python\n\n\n\n\n\n**After completing this lab you will be able to:**\n\n*   Create Data Visualization with Python.\n*   Use various Python libraries for visualization.\n\n\n## The Dataset: Immigration to Canada from 1980 to 2013 \u003ca id=\"2\"\u003e\u003c/a\u003e\n\nDataset Source: [International migration flows to and from selected countries - The 2015 revision](http://www.un.org/en/development/desa/population/migration/data/empirical2/migrationflows.shtml?utm_medium=Exinfluencer\u0026utm_source=Exinfluencer\u0026utm_content=000026UJ\u0026utm_term=10006555\u0026utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkDV0101ENSkillsNetwork20297740-2022-01-01).\n\nThe dataset contains annual data on the flows of international immigrants as recorded by the countries of destination. The data presents both inflows and outflows according to the place of birth, citizenship or place of previous / next residence both for foreigners and nationals. The current version presents data pertaining to 45 countries.\n\nIn this lab, we will focus on the Canadian immigration data.\n\n![Data Preview](https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork/labs/Module%201/images/DataSnapshot.png)\n\nThe Canada Immigration dataset can be fetched from \u003ca href=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork/Data%20Files/Canada.xlsx?utm_medium=Exinfluencer\u0026utm_source=Exinfluencer\u0026utm_content=000026UJ\u0026utm_term=10006555\u0026utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDeveloperSkillsNetworkDV0101ENSkillsNetwork20297740-2022-01-01\"\u003ehere\u003c/a\u003e.\n\n***\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanas436%2Fdata-visualization-with-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanas436%2Fdata-visualization-with-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanas436%2Fdata-visualization-with-python/lists"}