This project was generated with Python and Jupyter Notebooks

Cyprian Nyakundi, Cindy Gachuhi, Jabin Owegi, Angelo Sang and Angela Njogu

This is a python data science project where we were required to analyze corruption in counties and analyse various research questions

You must have python and Jupyter notebooks to analyze it

Clone this project from https://github.com/cnyakundi/smart-farmer

• Python
• Jupyter Notebooks
• Google Collab

For any difficulties accessing the code, comments, concerns, ideas or any form of questions. Kindly contact us at [email protected], [email protected], [email protected], [email protected], [email protected]

Copyright (c) 2021 Cyprian Nyakundi, Ronald Mosomi, Claire Maina, Victoria Ondieki and Natasha Gwena

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.