{"id":22072388,"url":"https://github.com/pradipece/two_dimensional_data_visualization","last_synced_at":"2026-04-11T13:10:38.232Z","repository":{"id":262105679,"uuid":"886220868","full_name":"pradipece/Two_dimensional_data_visualization","owner":"pradipece","description":"This repository for different kinds of Data science and Machine learning project  ","archived":false,"fork":false,"pushed_at":"2024-11-30T15:33:19.000Z","size":1190,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-29T02:45:56.194Z","etag":null,"topics":["data-science","data-visualization","jupyter-notebook","machine-learning","matplotlib","numpy","pandas","python","seaborn","sklearn","statistics"],"latest_commit_sha":null,"homepage":"","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/pradipece.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":"2024-11-10T14:15:41.000Z","updated_at":"2024-11-30T16:08:33.000Z","dependencies_parsed_at":"2024-11-10T15:41:04.845Z","dependency_job_id":"facee643-7bfa-494b-9ea5-bdcf3b470e44","html_url":"https://github.com/pradipece/Two_dimensional_data_visualization","commit_stats":null,"previous_names":["pradipece/data_science_project","pradipece/data_science_project_matplotlib","pradipece/two_dimensional_data_visualization"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pradipece%2FTwo_dimensional_data_visualization","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pradipece%2FTwo_dimensional_data_visualization/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pradipece%2FTwo_dimensional_data_visualization/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pradipece%2FTwo_dimensional_data_visualization/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pradipece","download_url":"https://codeload.github.com/pradipece/Two_dimensional_data_visualization/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245155317,"owners_count":20569683,"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-science","data-visualization","jupyter-notebook","machine-learning","matplotlib","numpy","pandas","python","seaborn","sklearn","statistics"],"created_at":"2024-11-30T21:12:26.956Z","updated_at":"2025-12-30T23:28:26.377Z","avatar_url":"https://github.com/pradipece.png","language":"Jupyter Notebook","readme":"# Two-dimensional data visualization\n`Matplotlib`\n\nThis repository cover the following topics:\n\n- Install the matplotlib's and Seaborn packages\n- Using matplotlib's visualizing relationships between two or more variables using scatter plots\n- Plotting multiple matplotlib's and Seaborn charts in a grid\n- Studying distributions of variables using histograms and  bar charts\n- Visualizing two-dimensional data using heatmap\n- Displaying images using Matplotlib's `plt.imshow` and explain in the note book.\n\n## Summary\n\nCovered the following topics :\n\n- Creating and customizing line charts using Matplotlib\n- Visualizing relationships between two or more variables using scatter plots\n- Studying distributions of variables using histograms \u0026 bar charts to\n- Visualizing two-dimensional data using heatmaps\n- Displaying images using Matplotlib's `plt.imshow`\n- Plotting multiple Matplotlib and Seaborn charts in a grid\n\nIn this repo covered some of the fundamental concepts and popular techniques for data visualization using Matplotlib and Seaborn. Data visualization is a vast field and barely scratched the surface here. \n\u003cbr\u003e Check out these [References] to learn and discover more:\n\n- Seaborn gallery: https://seaborn.pydata.org/examples/index.html\n- Matplotlib gallery: https://matplotlib.org/3.1.1/gallery/index.html\n- Matplotlib tutorial: https://github.com/rougier/matplotlib-tutorial\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpradipece%2Ftwo_dimensional_data_visualization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpradipece%2Ftwo_dimensional_data_visualization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpradipece%2Ftwo_dimensional_data_visualization/lists"}