{"id":18540036,"url":"https://github.com/aegis301/nyc_high_school_project","last_synced_at":"2026-05-14T22:40:38.248Z","repository":{"id":131274853,"uuid":"323444540","full_name":"aegis301/nyc_high_school_project","owner":"aegis301","description":"Data cleaning project using NYC high school data","archived":false,"fork":false,"pushed_at":"2020-12-21T21:09:25.000Z","size":18902,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-17T08:27:09.402Z","etag":null,"topics":["data-analytics","data-cleaning","data-science","data-visualization","pandas"],"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/aegis301.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":"2020-12-21T20:48:44.000Z","updated_at":"2021-03-07T11:20:40.000Z","dependencies_parsed_at":"2023-04-23T22:28:31.474Z","dependency_job_id":null,"html_url":"https://github.com/aegis301/nyc_high_school_project","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aegis301%2Fnyc_high_school_project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aegis301%2Fnyc_high_school_project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aegis301%2Fnyc_high_school_project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aegis301%2Fnyc_high_school_project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aegis301","download_url":"https://codeload.github.com/aegis301/nyc_high_school_project/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254264841,"owners_count":22041795,"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-analytics","data-cleaning","data-science","data-visualization","pandas"],"created_at":"2024-11-06T19:52:12.260Z","updated_at":"2026-05-14T22:40:33.192Z","avatar_url":"https://github.com/aegis301.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# NYC High School Project\n*Disclaimer: This project is based on the data cleaning walkthrough provided by dataquest.io. Though my own take on this project might differ from what can be found on their website.*\n\n## The Project\nIn this project I will try to showcase my skills in data cleaning, data exploration and presentation. While I will perform some analyses on this project, they will remain at a lower level of complexity. If you want to see my performance on more complex issues, I would refer you to my other projects.\n## The Question\nIn this project, I will try to investigate whether standardized testing in U.S. highschools is efficiant and if certain groups are at a disadvantage.\n## The Data\n### The Data\nIn order to answer said question, I am going to use publicly accessible SAT data from 2012 from the city of New York. In order to investigate demographics I need more data though. Here's a list of all datasets I am going to use:\n\n* [SAT scores by school](https://data.cityofnewyork.us/Education/2012-SAT-Results/f9bf-2cp4) - SAT scores for each high school in New York City\n* [School attendance](https://data.cityofnewyork.us/Education/2010-2011-School-Attendance-and-Enrollment-Statist/7z8d-msnt) - Attendance information for each school in New York City\n* [Class size](https://data.cityofnewyork.us/Education/2010-2011-Class-Size-School-level-detail/urz7-pzb3) - Information on class size for each school\n* [AP test results](https://data.cityofnewyork.us/Education/AP-College-Board-2010-School-Level-Results/itfs-ms3e) - Advanced Placement (AP) exam results for each high school (passing an optional AP exam in a particular subject can earn a student college credit in that subject)\n* [Graduation outcomes](https://data.cityofnewyork.us/Education/2005-2010-Graduation-Outcomes-School-Level/vh2h-md7a) - The percentage of students who graduated, and other outcome information\n* [Demographics](https://data.cityofnewyork.us/Education/2006-2012-School-Demographics-and-Accountability-S/ihfw-zy9j) - Demographic information for each school\n* [School survey](https://data.cityofnewyork.us/Education/2011-NYC-School-Survey/mnz3-dyi8) - Surveys of parents, teachers, and students at each school\n\n## Skills Used\n* reading different file formats into pandas\n* condensing data by concatenating and merging pandas Data Frames\n* converting data types into different formats\n* converting, cleaning and recalculating rows and columns using vectorized methods\n* working with geographic data\n* handling and replacing missing data\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faegis301%2Fnyc_high_school_project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faegis301%2Fnyc_high_school_project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faegis301%2Fnyc_high_school_project/lists"}