manuleo/mADAm-2019

Solving hunger in Africa: A modeled approach to solve this chronic issue # Solving hunger in Africa: A modeled approach to solve this chronic issue # Datastory ### Link to the datastory: click to this link **_Note_** for a good visualization: for a correct user-experience, we recommend to use a zoom of 67% on a 13 inches (Tested on a 13 inches MacBook Pro). ### Notebook containing the project is `project.ipynb`. As jupyter notebook doesn't reproduce the embedded HTML, the already rendered version is available HERE # Abstract Despite recent technological improvements, there is still a large share of people who are starving. *“1 in 9 people in this world go to bed on an empty stomach”* (source: World Food Program). The aim of this project is to propose a way to end starvation in Africa, one of the continents most affected by this hunger issue. To do so, we will tackle the problem from two different perspectives. On one hand, the analysis will show an estimatation of which African countries have food deficits. On the other hand, the investigation will give the reader a complete picture of the food availability across Europe. The FAO dataset will be intensively used as it contains useful information about net food supply for both Africa and Europe. The analysis section will then leave space to a more important chapter of our story: how to solve the uneven distribution of food? We would like to reallocate resources that otherwise would be end up as food waste from the richest European countries to the poorest African ones. This combined effort approach is a simple solution we think could potentially have a huge impact on many lives! # Research questions - [x] How can we quantify hunger in Africa in terms of kcal needed per capita per day? What are the regions that need the most help? - [x] Can we make truthful predictions on African and European population for 2020 based on data we have until 2013? And what about food supply? Will our predictions be accurate? - [x] By analysing the time period 1960 to 2020, could it be possibile to ass …