{"id":19337849,"url":"https://github.com/mrarvind90/fcc-demographic-data-analyzer","last_synced_at":"2026-05-16T04:32:11.810Z","repository":{"id":197470772,"uuid":"698664711","full_name":"mrarvind90/fcc-demographic-data-analyzer","owner":"mrarvind90","description":"A Python program to analyze data from a 1994 census database from University of California, School of Information and Computer Science.","archived":false,"fork":false,"pushed_at":"2023-10-01T13:32:47.000Z","size":434,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-06T10:25:18.658Z","etag":null,"topics":["black","freecodecamp","freecodecamp-challenge","freecodecamp-project","pandas","pandas-dataframe","python","python-3","python3","unittest","unittests"],"latest_commit_sha":null,"homepage":"","language":"Python","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/mrarvind90.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":"2023-09-30T15:37:49.000Z","updated_at":"2023-09-30T18:26:44.000Z","dependencies_parsed_at":null,"dependency_job_id":"774520e7-7984-493e-9b88-6ee826910877","html_url":"https://github.com/mrarvind90/fcc-demographic-data-analyzer","commit_stats":null,"previous_names":["mrarvind90/fcc-demographic-data-analyzer"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrarvind90%2Ffcc-demographic-data-analyzer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrarvind90%2Ffcc-demographic-data-analyzer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrarvind90%2Ffcc-demographic-data-analyzer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrarvind90%2Ffcc-demographic-data-analyzer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mrarvind90","download_url":"https://codeload.github.com/mrarvind90/fcc-demographic-data-analyzer/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240441950,"owners_count":19801793,"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":["black","freecodecamp","freecodecamp-challenge","freecodecamp-project","pandas","pandas-dataframe","python","python-3","python3","unittest","unittests"],"created_at":"2024-11-10T03:15:38.479Z","updated_at":"2026-05-16T04:32:11.776Z","avatar_url":"https://github.com/mrarvind90.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![freeCodeCamp Social Banner](https://s3.amazonaws.com/freecodecamp/wide-social-banner.png)](https://www.freecodecamp.org/)\n\n\u003cp style=\"text-align: center\"\u003e\n  \u003ca href=\"https://www.python.org\"\u003e\u003cimg src=\"https://img.shields.io/badge/python-3670A0?style=for-the-badge\u0026logo=python\u0026logoColor=ffdd54\" alt=\"Python 3\"/\u003e\u003c/a\u003e\n  \u003ca href=\"https://pandas.pydata.org\"\u003e\u003cimg src=\"https://img.shields.io/badge/pandas-%23150458.svg?style=for-the-badge\u0026logo=pandas\u0026logoColor=white\" alt=\"Pandas\"/\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n# Demographic Data Analyzer\n\u003ca href=\"https://github.com/psf/black/blob/main/LICENSE\"\u003e\u003cimg alt=\"License: MIT\" src=\"https://black.readthedocs.io/en/stable/_static/license.svg\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/psf/black\"\u003e\u003cimg alt=\"Code Style: black\" src=\"https://img.shields.io/badge/code%20style-black-000000.svg\" /\u003e\u003c/a\u003e\n\nA Python program to analyze data from a 1994 census database from University of California, School of Information and Computer Science.\n\n## Technologies Used\n- pandas\n\n## Features\nProvides an answer for the following questions based on the 1994 census data\n- How many people of each race are represented in this dataset? This should be a Pandas series with race names as the index labels. (race column)\n- What is the average age of men?\n- What is the percentage of people who have a Bachelor's degree?\n- What percentage of people with advanced education (Bachelors, Masters, or Doctorate) make more than 50K?\n- What percentage of people without advanced education make more than 50K?\n- What is the minimum number of hours a person works per week?\n- What percentage of the people who work the minimum number of hours per week have a salary of more than 50K?\n- What country has the highest percentage of people that earn \u003e50K and what is that percentage?\n- Identify the most popular occupation for those who earn \u003e50K in India.\n\n## Prerequisites\nBefore you begin, ensure you have met the following requirements:\n\n- Python 3.10 or higher installed on your system. You can download Python from [python.org](https://www.python.org/downloads/).\n- Poetry 1.6.1 installed on your system. You can install Poetry from [python-poetry.org](https://python-poetry.org/docs/#installation)\n\n## Installation and Setup\nFollow these steps to install and set up Poetry for this project:\n\n1. **Install Poetry**:\n   Poetry is a Python package manager that simplifies dependency management and virtual environments. You can install Poetry by following their guide [here](https://python-poetry.org/docs/#installing-with-the-official-installer).\n2. Clone the repository\n   ```shell\n   git clone git@github.com:mrarvind90/fcc-demographic-data-analyzer.git\n   ```\n3. Change into the Project Directory\n   ```shell\n   cd fcc-demographic-data-analyzer\n   ```\n4. Install Dependencies:\n   ```shell\n   poetry install\n   ```\n5. Run the Project:\n   ```shell\n   poetry run python3 main.py \n   ```\n\n## License\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.\n\n## Code Style\nWe follow the black code style for this project. You can format your code using:\n```shell\nblack .\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrarvind90%2Ffcc-demographic-data-analyzer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmrarvind90%2Ffcc-demographic-data-analyzer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrarvind90%2Ffcc-demographic-data-analyzer/lists"}