marantmir / analise_dados_geracao_br

Este projeto tem como objetivo realizar análises espaciais exploratórias. As Linguagens utilizadas foram Python e HTML

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Vinicius Guerra e Ribas - Energy Sector Analyst

Energy Engineer (UnB) │ Data Scientist and Analytics (USP)

📧 E-mail │ 🎯 Linkedin │ GitHub

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Project Notebook [BR 🇧🇷]

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Graphical and Spatial Exploratory Analysis - Brazil Electricity Generation Data from ANEEL [EN 🇬🇧]

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Introduction

AUXILIARY BIBLIOGRAPHY

• Files

  • Electricity Generation Information System (ANEEL SIGA)

  • Brazilian Government Database

• Interesting Repositories on GitHub

  • geodata-br

  • PyData-Book

• Documentation

  • Geopandas

  • Plotly Express

• Helpful Posts: medium e towardsdatascience:

  • Best Libraries for Geospatial Data Visualisation in Python

  • How to create and interactive map of Brazil using Plotly.Express-Geojson in Python

  • Como criar gráficos interativos utilizando Plotly e Python

  • A Workflow for Data Visualization

Introductory Remarks

• The project consists of an exploratory data analysis. The objective of this analysis is to visualize the Brazilian electric generation system in a diagrammatic and spatial way, extracting insights. For this, a dataframe of the GeoDataFrame type was used and, mainly, the power of the Plotly Express library optimized for the Python language.

• In this Part I, the category of dataframe studied is called Simple Feature: Geometry - MultiPoints, due to its characteristic of presenting a specific variable (geometry), referring to the geometry polar points, representing the Cartesian coordinates of Latitude and Longitude, enabling the georeferencing of the observations.

• The standard report available on ANEEL's website is the Electricity Generation Information System (ANEEL SIGA). The data for this report is available at Brazilian Government Database. For more information about the GeoDataFrame object types, I recommend visiting the GeoPandas library site.

• Finally the iterative data visualizations were exported in "HTML" files. Available at viniciusgribas.github.io

PART I PRODUCTS:

• BarChart I

• BarChart II

• DensityChart I

• DensityChart II

• DensityChart III

• StripChart I

• RadarChart I

• CartesianMap I

PART I - MEDIUM POST [BR 🇧🇷]

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