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Dashboard week – Day 4 – What Will It Take for Brazil to Become a Clean Energy Leader?

This post was originally published on The Data School blog between 2018 and July 2025, before our program was renamed to MIP’s Analytics Career Accelerator. References throughout this article to “The Data School” or “DS” all refer to what is now MIP’s Analytics Career Accelerator. The program, its people, and its commitment to launching outstanding analytics careers remain the same – just under a new name.

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Hi there, dashboard week – day 4! Our challenge for day 4 was to work with the power plant data source provided, and we were free to find another resource to enhance our story, which I found I complementary data source from ANEEL (Brazilian energy agency).

My approach:

After some time reading “read me” to understand the data source “Global power plant” from world resources institute and having set a story, I start to navigate to ANEEL website in order to find some extra resources to enrich my story as I choose to work with Brazilian’s power plant.

Alteryx:

Basically, I used Alteryx to clean, prepare and join the data sources: one from https://datasets.wri.org/dataset/globalpowerplantdatabase , and another one from https://dadosabertos.aneel.gov.br/dataset/agentes-de-geracao-de-energia-eletrica/resource/26cad4e9-fa05-4962-be79-0ab9dcfc03e1 .

 

Dashboard:

Barbosaus News Journal Edition: 2. Despite the joke, my main idea was to count the story to bring the facts and the impact of power plants on the environment. this is the result:

My conclusion is nice to live in a developed environment. However, we need to respect the environment as itself. It was a pleasure to have worked with this kind of data. I also could learn a lots of stuff from power plants in Brazil, and even being Brazilian, I didn’t know 80% about power plants in Brazil such us quantities of power plant, fuel types etc.

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