Economics uses mathematical language, economic theory and graphic representation for the exhibition of models, hence it is essential to cultivate skills in all fields. Different graphs will be presented below, from different databases. The essential purpose of this document is to exemplify the variety of possibilities for the elaboration of visualizations

UNIVARIATE GRAPHICS

They are those graphs that are used to show the distribution of a single variable, an example:

Density graphs

In this graph, the density of diamonds is measured in relation to their price. The Y axis describes the possible scenarios from fair to ideal

BIVARIATE GRAPHICS

They are those graphs that are used to show the association between two variables, an example:

Ridgeline

Using a set of fuel economy data, we draw a distribution of the miles per gallon of fuel in the city by car class

MULTIVARIATE GRAPHIC

Multivariate graphics allow you to routinely monitor many parameters of the process of the tools with fewer graphics. An example:

Agrupation

This graph considers a set of information that essentially shows a salary range based on experience and years since degree

TIME-DEPENDENT GRAPHICS

These graphs are built by placing time as the independent variable (X) and position as the dependent variable (Y). An example:

Time series

Below we can observe the behavior in people’s savings decisions over time. This graph describes the savings cycle and therefore gives inputs to deduce changes in the consumption behavior of the people surveyed from 1967 to 2015

STATISTICAL MODEL GRAPHICS

A probabilistic or statistical model is the form that a set of data obtained from samples of other data with behavior that is assumed to be random can take. An example: