Por detrás do prédio que margeia a L2, na altura da comercial da 406/407 norte, surge finalmente o GRANDE CIRCULAR, aparentemente vazio, na primeira pista da esquerda. A placa no canto inferior esquerdo do painel grita o preço inacreditável da passagem, R$ 3,00. Em um movimento sincronizado, uma revoada de braços direitos se erguem, entrando no território escaldante do sol que banha toda a região ao redor da parada.
Uma grupo de adolescentes, com camisas cinzas gravadas com a sigla CEAN nas costas, trocam risadas e leves tapas e pontapés, ao lado de um senhor que não cansa de olhar…
Recently, I have been cleaning and analyzing data from Brazilian Higher Education Institutions (HEI). The Brazilian “National Institute for Educational Studies and Research Anísio Teixeira (INEP)” keeps a large repository of microdata from Basic and Higher Education students, teachers and institutions, as also as data from the external evaluation that measure courses quality and students learning development.
This post is part of a data science project organized in 3 parts. Parts 1 and 2, which describe datasets used in this project, the path for downloading all files data cleaning employed is this previous post.
A Jupyter notebook for each part/section as well as the outputs and organized data are available in this Github repository
According to the 2018 Higher Education Census, the Federal University of Bahia, a public institution in Salvador, offered the first still ongoing higher undergrad course in Brazil, in the year of 1808. Since then, 22.737 new courses, public or private, were opened and…
This study seeks to organize and develop a basic analysis of higher education data available for Brazilians public and private institutions. This is my first data science/exploration project using Python, therefore the analysis and codes showcased are far from being a repository of best practice. Any suggestions to improve this project are appreciated.
For better organization and comprehension, this study is divided into 3 parts:
Part 1 — Data Extraction: Description of datasets used in the project, its sources and the path to download it. This post will be updated if future analysis demands new datasets.
Estudando Machine Learning e IA. Escrevendo contos a princípio infanto-juvenis. Devaneando sem muito foco nem esperança de qualquer reconhecimento.