Analysing a global terrorism database that contains data from 1970 to 2017 — almost five decades of attacks around the world — trying to generate a view of how the violence happens in a global way. Project made using pandas and interactive graphs generated using plotly. After the analisys, a Dash app was builded.

Developed in a partnership with Joao Vitor Dias Xavier.

Introduction

Terrorism, as defined by the Oxford University, is “the unlawful use of violence and intimidation, especially against civilians, in the pursuit of political aims.” It’s a non specific and subjective definition, which means it englobes many cases…


Esse artigo tem como objetivo mostrar o uso de RegEx para extração de dados de mensagens enviadas em grupos de whatsapp para três diferentes cursos.

Projeto feito em parceria com Joao Vitor Dias Xavier

Introdução

Com a pandemia da Covid19 ao redor do mundo, a utilização de redes sociais se tornou ainda maior. De acordo com esta pesquisa, o aplicativo WhatsApp cresceu até 76% por causa do coronavírus. Desta forma, uma análise de dados em alguns grupos do aplicativo é uma ótima forma de descobrir como as coisas funcionam em determinados lugares, situações e como diferentes grupos reagem aos mesmos atributos.


Analyzing Brazil’s data for Covid-19 given its three geoeconomics regions and their economic poles, which are “Amazonia, Nordeste, and Centrosul” and “Manaus, Recife and São Paulo”, respectively.

Created in collaboration with Joao Vitor Dias Xavier

Introduction

When we look at the “retail” column in Google Mobility Report’s dataset, we can see the mobility trends of people in places like restaurants, cafes, shopping centers, theme parks, museums, libraries, and movie theaters. This data, in other words, shows the economic recovery of countries, states, and even some cities.

Knowing this, we can divide Brazil into three “Geoeconomic Regions” — which is an unofficial…

Carmem Stefanie

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