2019-09-16, 15:00–15:30 (Europe/London), Assembly Room
This talk presents a project that uses an API of the Brazilian government to retrieve data from congresspeople and expose how they are spending people's money. I use Pandas to manipulate the data and, Lektor and Chart.JS to create a website that makes this data accessible and comprehensible.
This talk presents the basic concepts of data treatment and manipulation. It presents a quick introduction to Lektor, a framework to build static websites in pure Python (and, a little bit of markdown and HTML). I also make a brief presentation of the project Serenata de Amor, which I use to retrieve the data of Brazilian congresspeople. I talk about Pandas_profiling, Pandas, and chart.js, giving very simple examples of how they can be used to produce nice data visualization.
Rafael is a Brazilian physicist currently working in neuroscience. Last year he finished his PhD in astrophysics, in Spain, where he applied K-means to find patterns in a sample of more than 250 thousand stars in our Galaxy. He moved to London to work in a neuroscience project that aims to use machine learning in 3D images of patient brains to diagnose conditions like Parkinson’s, Alzheimer’s disease and psychosis. Recently he has written a Chapter for the book Machine learning methods and applications to brain disorders.