Análise de dados do mercado imobiliario utilizando Python para encontrar estatísticas descritivas: uma proposta para contornar o Big Data

Abstract

With the diversification of the Internet in recent years, there has been an increase in the amount of data produced and soon the difficulty arose to analyze them. With this came a new phenomenon in the world of computing that was the Big Data. The objective of this work is to bring an alternative to circumvent this situation through programming, will be addressed as this problem hampers data analysis and will be shown a solution to it. The methodologies used to perform the data analysis were python and its libraries, along with descriptive statistics. Next we will talk about the comparison between the analysis tools against programming. And at the end of this work, it will be shown how to use this method if it was able to improve the data analysis.