energy

analyzing energy economics data

Back in 2022, I had the exciting opportunity to collaborate in a data visualization project for the Universidad de La Matanza, being my very first steps in analyzing data.

The objective was to craft a visually engaging monthly publication featuring key energy economics indicators. From sleek charts to insightful plots, the goal was clear: present complex data in a format that was both accessible and compelling.

I was responsible for managing the entire data workflow, from extraction and processing to visualization. To improve efficiency, I applied web scraping techniques to automate data collection, which allowed the project to maintain a consistent and timely publication schedule.

The Github repo for this project can be found at manzisebastian/Energia-UNLaM.

Since the project focused on static visualizations for publication in PDF format, all charts and plots were designed as non-interactive, high-quality static figures. Below, you can explore a selection of visuals from the final edition I contributed to.

The plot on the left represents the production of oil, disaggregating into conventional and non-conventional production. The plot on the right shows the evolution Foreign Exchange Balance (BCRA) for the so-called "energy sectors" (Electricity and Oil & Gas).
The plot on the left represents the amount of subsidies disbursed, dividing the total amount into categories. The plot on the right shows the evolution of the price charged for household consumption of energy (electricity and gas), after major changes in 2015.