The visualization of time series is intended to reveal changes of one or more quantitative variables through time, and to display the …

Whenever a new paper is released using some type of scraped data, most of my peers in the social science community get baffled at how …

Data about all corruption cases in Spain can be modeled as a graph to unveil the networks of “friends” that are always …

Big datasets found in statistical practice often have a rich structure. Most traditional methods, including their modern counterparts, …

You test your code. We know you do. How else are you sure that your changes don’t break the program? But after you commit, you …

This session will show how to fit mixed-effects models to spatial lattice data using the integrated nested Laplace approximation with …

Iteration is a key feature of every programing language and mastering it will make your life easier. In this talk we will learn how to …

Do you want to know how to make elegant and simple reproducible presentations? In this talk, we are going to explain how to do …

Network analysis offers a perspective of the data that broadens and enriches any investigation. Many times we deal with data in which …

The R language is peculiar in many ways, and its approach to object-oriented (OO) programming is just one of them. Indeed, base R …

JupyterLab can be viewed as the evolution of the Jupyter Notebooks, an open-source web application that allows combining interactive …

In this session, we are going to employ the

`flexdashboard`

R package. Why? Because this is an easy way to make dashboards! We will begin …
In this talk, we will build a simple blog using R-Markdown, Jekyll and GitHub pages. We will use the `blogdown`

package for R that allows …

In this talk, we will learn to use ggplot2, an R-package to make nice and useful visualizations. The package is based on a powerful and …

The aim of this talk is to illustrate some basics about how to model and solve optimization problems using the AMPL language. In fact, …

Stan is a probabilistic programming language for specifying statistical models. Stan provides full Bayesian inference for …

The aim of this tutorial is to show the use of TensorFlow with KERAS for classification and prediction in Time Series Analysis. The …

In this session I will try to show some utilities present in the web. One of them will help us to execute R code from the web, using an …

This is our second session introducing Shiny, an R package that allows to develop interactive Apps in a familiar framework for regular …

The main goal of this session is to **show how researchers can use a system control version like Git through GitHub** in order to improve …

TensorFlow has been widely used for many applications in machine learning and deep learning. However, TensorFlow is more than that, it …

The main goal of this session is to show a regular R user how to develop his/her own interactive (web) application without much effort. …

In this session we will learn how to take advantage of a multi-core PC through the use of parallel computing in Julia. It is worth to …

The first time you read about the Julia language, the idea that sticks in your mind is “A speed similar to C, with a simplicity …

As the title reads, in this heterogeneous session we will see three topics of different interest. The first is a collection of three …