{"id":22879286,"url":"https://github.com/utdata/texas-schools","last_synced_at":"2025-03-31T14:33:33.456Z","repository":{"id":28708471,"uuid":"32229040","full_name":"utdata/texas-schools","owner":"utdata","description":"We've taken a schools directory from the Texas Education Agency and geocoded all the results. This is a project of the UT School of Journalism Data Visualization class.","archived":false,"fork":false,"pushed_at":"2018-05-14T20:29:42.000Z","size":26505,"stargazers_count":1,"open_issues_count":5,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-06T20:44:23.685Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","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/utdata.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}},"created_at":"2015-03-14T19:47:13.000Z","updated_at":"2018-05-14T20:29:44.000Z","dependencies_parsed_at":"2022-09-04T17:42:43.785Z","dependency_job_id":null,"html_url":"https://github.com/utdata/texas-schools","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/utdata%2Ftexas-schools","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/utdata%2Ftexas-schools/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/utdata%2Ftexas-schools/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/utdata%2Ftexas-schools/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/utdata","download_url":"https://codeload.github.com/utdata/texas-schools/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246483554,"owners_count":20784912,"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":[],"created_at":"2024-12-13T16:38:42.622Z","updated_at":"2025-03-31T14:33:33.425Z","avatar_url":"https://github.com/utdata.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"Texas schools geocoding project\n===============================\n\nThis is a class project by:\n\n    Univeristy of Texas at Austin\n    School of Journalism\n    Data Visualization\n    Spring 2015\n    Instructor: Christian McDonald\n\nWe created a geocoded data set of all 9354 schools in Texas that can be merged with other data files from the [Texas Education Agency](http://tea.texas.gov/Reports_and_Data/) for easy mapping. The files are available for free use.\n\nThe work was completed in April 2015.\n\n## Update July 2017\n- TEA has a file of these lat/longs that is probably a better source at this time: http://schoolsdata2-tea-texas.opendata.arcgis.com/, click on \"Schools\", then Download Spreadsheet.\n- And Common Core has all schools in the US: https://nces.ed.gov/ccd/pubschuniv.asp\n\n## How to use this file\n\nYou can use the Download Zip button to just download all the files, or do a [Save As on this file](https://raw.githubusercontent.com/utdata/texas-schools/master/texas-schools-geocoded.csv) to get just the finished geocoded list, called `texas-schools-geocoded.csv`. It is 9354 rows of data. Feel free to fork this repo, update or improve the list and submit a pull request.\n\nThere are three sets of addresses in the file: The district, the school mailing address and the school site address. The `Latitude` and `Longitude` fields are keyed to the `SchoolSiteStreetAddress`.\n\nThe magic comes with the `SchoolNumber` field, which is a unique ID that matches other school-level data by the [Texas Education Agency](http://tea.texas.gov/Reports_and_Data/). You can database queries and data visualization tools to join data sets on that `SchoolNumber` to map accountability ratings and performance reports.\n\n## Caveats\n\nThings to know if you are using this data:\n\n* Latitudes and Longitudes can only be as good as the address they start from. This will be particularly true for alternative schools, which can be ambiguous.\n* Manually-found locations are based off Google Maps, and subject to any errors there. In many cases, the manual locations were verified through Street View photos.\n* In some cases we just couldn't find the school. Those have blank Lat/Longs.\n* The `CountyName` and `CountyNumber` fields are tied to the district, not the school, which is not always the same county as `SchoolSiteStreetAddress`. This is especially true with private schools.\n\n## Files list\n\n* `texas-schools-geocoded.csv` is a comma separated values file of geocoded schools.\n* `schoolsraw.csv` is the origial file the project started from. It is called School and District File with Site Address, and was downloaded from the [Texas Education Agency AskTED](http://mansfield.tea.state.tx.us/tea.askted.web/Forms/Home.aspx) on 3/14/2015.\n* `csv_splitter` is a python script used to split the raw file into pieces so each student in the class could have a batch of files to geocode. Someone might find that useful some day.\n\n## GeocodeQualityType\n\nIf a geocoding result was not AddressRangeInterpolation or ExactParcelCentroidPoint, the location was manually checked, and the GeocodeQualityType field changed to Manual. Other fields from the geocoding process have been removed for clarity.\n\n## How we geocoded\n\nWe used [Texas A\u0026M Geoservices](http://geoservices.tamu.edu/) to batch geocode the files. It is a wonderful service that not only provides latitudes and longitudes for addresses, but gives a quality index of how the points were found. This is essential to be sure that an address was found at street point instead of a city or zip code centroid. Their service is free for up to 2500 addresses a month, or something like that. Check with them ... they are good people.\n\n[Geo-stuff provided by Texas A\u0026M University GeoServices](http://geoservices.tamu.edu/)\n\nThe students followed [this guide](https://docs.google.com/document/d/16_reBIxOvRJvfiuTN5bdGpFFq0JH39pmE5kCOv8xaCM/edit?usp=sharing) for the work. I checked and merged the individual files into a single data set.\n\n## Corrections\n\nIf you have any corrections to offer, send them to christian.mcdonald@utexas.edu.\n\n## Contributors\n\nThe following students from the University of Texas at Austin School of Journalism, Spring 2015 Data Visualization course contributed to this project:\n\n* LUQMAN ADENIYI\n* JOSEPH BAUCUM\n* NICOLE COBLER\n* TAYLOR ELLIS\n* LAUREN FLORENCE\n* TRACY FRYDBERG\n* DANIEL GOODWIN\n* SEBASTIAN HERRERA\n* GABRIEL MACIAS\n* WESLEY MARTIN\n* RENEE MORENO\n* ALEXIS SCHRUBBE\n* PHILLIP TRACY\n* BRYAN WINTER\n* MANZHI WU\n\nAlso contributing:\n\n* CHRISTIAN MCDONALD\n* ANDRE MONTEIRO\n* EDWARD TIMMS\n\nMany thanks to all who helped. Enjoy.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Futdata%2Ftexas-schools","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Futdata%2Ftexas-schools","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Futdata%2Ftexas-schools/lists"}