Official Research Project of the Universidad Nacional del Oeste on Trade Relations between Mercosur-China and its Food Security Plan
This repository contains visualizations and data analyses developed for a research project at my university. The main objective of the project was to theoretically examine the trade relations between Mercosur and China, contrasting the claims with data and representations. It focused on planning and methodology, generally covering a time period from 2000 to 2019, with the purpose of understanding how these trade relations impact our country economically. Data from various recognized sources, such as the official Mercosur website, COMTRADE, FAO, and other relevant platforms, were used for data extraction.
Generally, the charts are saved in '.png' formats, and in the '.py' files, you can see the complete Python code, the entire algorithm for generating each visualization, in each folder "Graf. x"
https://fpma.fao.org/giews/fpmat4/#/dashboard/tool/international
https://estadisticas.mercosur.int/
https://www.trademap.org/Index.aspx
https://atlas.cid.harvard.edu/rankings
https://oec.world/es/rankings/eci/hs6/hs96
http://www.agrichina.org/UploadFolder/202107200445358049.pdf
The Python 3.10 programming language was used through the Visual Studio Code IDE and Jupyter Lab. Currently, for practical reasons, I am using Jupyter Lab because it provides quick visualization and allows me to better adapt to problem-solving in my code.
The data were subjected to an exhaustive cleaning and filtering process to ensure their integrity and relevance. Data reorganization techniques were applied to optimally structure the information.
Tools Used: I used the Pandas library for data manipulation and Matplotlib for creating professional visualizations. Additionally, I used other libraries, specifically Seaborn and Plotly for certain charts.
In my humble opinion, this repository is a solid contribution to the understanding and visual analysis of trade dynamics between Mercosur and China.
.png)
