{"id":15131143,"url":"https://github.com/prajjwol09/eda-using-pandas","last_synced_at":"2026-01-31T23:40:59.981Z","repository":{"id":256932683,"uuid":"856860494","full_name":"Prajjwol09/EDA-Using-Pandas","owner":"Prajjwol09","description":"I did the Exploratory Data Analysis of the World Popluation from 1970 - 2022 AD using Pandas and the Jupyter Notebook as the workspace,","archived":false,"fork":false,"pushed_at":"2024-09-13T10:54:26.000Z","size":227,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-05T20:43:09.799Z","etag":null,"topics":["dataframe","eda","jupyter-notebook","pandas","population","python"],"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/Prajjwol09.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":"2024-09-13T10:48:44.000Z","updated_at":"2024-09-13T10:54:29.000Z","dependencies_parsed_at":"2024-09-14T00:34:07.413Z","dependency_job_id":null,"html_url":"https://github.com/Prajjwol09/EDA-Using-Pandas","commit_stats":null,"previous_names":["prajjwol09/eda-using-pandas"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Prajjwol09/EDA-Using-Pandas","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Prajjwol09%2FEDA-Using-Pandas","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Prajjwol09%2FEDA-Using-Pandas/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Prajjwol09%2FEDA-Using-Pandas/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Prajjwol09%2FEDA-Using-Pandas/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Prajjwol09","download_url":"https://codeload.github.com/Prajjwol09/EDA-Using-Pandas/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Prajjwol09%2FEDA-Using-Pandas/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259796304,"owners_count":22912688,"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":["dataframe","eda","jupyter-notebook","pandas","population","python"],"created_at":"2024-09-26T03:24:04.424Z","updated_at":"2026-01-31T23:40:59.933Z","avatar_url":"https://github.com/Prajjwol09.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"World Population Data Analysis (1970-2022) - Exploratory Data Analysis (EDA)\n\nOverview:\n\nThis project performs an Exploratory Data Analysis (EDA) of the world population data from 1970 to 2022 AD. The analysis provides insights into global population trends, patterns, and changes over time using Python's Pandas library. The project cleans, processes, and visualizes the data to highlight key population statistics and their variations across years, regions, and countries.\n\nObjectives:\n\nData Cleaning: Handle missing values, remove duplicates, and format data for consistency.\n\nTrend Analysis: Investigate population growth trends on a global scale, as well as for individual countries and regions.\n\nVisualization: Use charts and plots to visualize population changes over time.\n\nStatistical Analysis: Calculate summary statistics such as mean, median, and growth rates to provide deeper insights into the population data.\n\nTools Used:\n\nPython: Programming language used for data analysis.\n\nJupyter Notebook: For organizing and presenting the analysis.\n\nPandas: Library for data manipulation and analysis.\n\nMatplotlib/Seaborn: For visualizing data trends and patterns.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprajjwol09%2Feda-using-pandas","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprajjwol09%2Feda-using-pandas","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprajjwol09%2Feda-using-pandas/lists"}