PydataKampala-Open-Source/Uganda-Data

A collection of Uganda datasets # Uganda-Data An overwhelming majority of Uganda Data is dirty, fragmented, inaccessible and not machine-readable. This has hindered accessibility, redistribution and use of data for research, academia or industry for data-backed applications. This project seeks to create clean, accessible, reproducible and standardized Uganda datasets across key sectors of education, agriculture, health, governance, trade, transportation, etc. ## How to Contribute Your contributions, however seemingly small you may think they are, are worthwhile and appreciated. You may contribute to this project in the following ways; - Clean, wrangle, standardize datasets. - Write meta data and assist in documentation. - Develop tools that help make Uganda data accessible and redistributable. - Provide datasets from trusted sources. - Analyze, visualize and model data. - Create tutorials on how to use Uganda data - Ask relevant Questions on the PyData Kampala forums. ## Code of Conduct PyData Kampala strictly follows the NumFocus CoC. Below is a summarized version of the CoC. Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for NumFOCUS. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate. NumFOCUS is dedicated to providing a harassment-free community for everyone, regardless of gender, sexual orientation, gender identity and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of community members in any form. Thank you for helping make this a welcoming, friendly community for all. --- ### Communication Channels - Website: kampala.pydata.org - X (Formerly Twitter): x.com - Email: pydatakampala@numfocus.org - Weekly Project Meeting (9pm EST): Zoom