R Package for the download and analysis of FAO WaPOR data set for agricultural productivity
-
Updated
Jan 30, 2022 - R
R Package for the download and analysis of FAO WaPOR data set for agricultural productivity
Easy access to administrative boundary defined by FAO GAUL from Python scripts
This repository contains the work done as a part of a Data Analytics Program at neuefische.
This project evaluates trends in food production and consumption over the years, and uses data to tell a story of how the world food shortage problem can be solved.
Analyzed FAO Crop data using Machine learning models
Solving hunger in Africa: A modeled approach to solve this chronic issue
Drink water access study with Tableau Software
This is an analysis of the global plant-based meat market, that take into consideration the following three axes for each country: water shortages, the meat consumption in relation to the production and the percentage of vegetarians. It has been used to build a dashboard on Tableau Public
Add a description, image, and links to the fao-dataset topic page so that developers can more easily learn about it.
To associate your repository with the fao-dataset topic, visit your repo's landing page and select "manage topics."