Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks

© Jalil Villalobos Alva 2021

J. Villalobos AlvaBeginning Mathematica and Wolfram for Data Sciencehttps://doi.org/10.1007/978-1-4842-6594-9_5

5. Data Visualization

Jalil Villalobos Alva¹  

(1)

Mexico City, Mexico

 

In this chapter we will see more depth in terms of data visualization, where we will see the different ways of representing data visually, with the use of different commands, and create a range of different types of graphs. We will also see how to customize plots and use predefined plot themes.

Basic Visualization

Data visualization is key for understanding information about our data. Visual tools such as 2D plots, contour plots, 3D plots, time series, etc. provide a handy form to view and understand trends and patterns of the data. One of the ...