This project contains a statistical investigation of the results of the ICFES for the year 2018, using the methodologies studied and consolidated in the subject Categorical Data.

Categorical Data is simply a collection of information which is divided into groups, and that is why this work uses the use of categorical data to solve the 4 assigned case studies.

This activity is a statistical analysis with the curricular programs of the course (TAE).

In this writing, a compilation of details was made so that the reader understands the importance of Statistics today.

In this work, graphical animation is implemented, using internal R functions, such as `gganimate`.

This project addresses the topic of Principal Component Analysis (PCA) for Multivariate Analysis (MVA), which is a technique used to describe a data set in terms of new variables or uncorrelated components.

In this project, outliers were found on a time series, using R language functions.

In this work are all the projects treated in the subject "Técnicas en Aprendizaje Estadístico" (TAE).

In this project the practical part of the AutoRegressive Moving Average Models (ARMA) topic was worked on.

The present project is a statistical investigation that is developed with the purpose of investigating and knowing the price of a car of the Suzuki Swift 2022 model based on its age, using the established tools and the knowledge acquired in the subject of Bayesian Statistics, in order to solve this case study.