#### Overview of this book

There are many algorithms for data analysis and it’s not always possible to quickly choose the best one for each case. Implementation of the algorithms takes a lot of time. With the help of Mathematica, you can quickly get a result from the use of a particular method, because this system contains almost all the known algorithms for data analysis. If you are not a programmer but you need to analyze data, this book will show you the capabilities of Mathematica when just few strings of intelligible code help to solve huge tasks from statistical issues to pattern recognition. If you're a programmer, with the help of this book, you will learn how to use the library of algorithms implemented in Mathematica in your programs, as well as how to write algorithm testing procedure. With each chapter, you'll be more immersed in the special world of Mathematica. Along with intuitive queries for data processing, we will highlight the nuances and features of this system, allowing you to build effective analysis systems. With the help of this book, you will learn how to optimize the computations by combining your libraries with the Mathematica kernel.
Mathematica Data Analysis
Credits
www.PacktPub.com
Preface
Free Chapter
First Steps in Data Analysis
Creating an Interface for an External Program
Analyzing Data with the Help of Mathematica
Discovering the Advanced Capabilities of Time Series
Statistical Hypothesis Testing in Two Clicks
Predicting the Dataset Behavior
Rock-Paper-Scissors – Intelligent Processing of Datasets
Index

## Interface development in Mathematica

In this section, you will learn how to develop your own interface for a model demonstration using the Mathematica functions. To begin with, let's recall the rules of the Rock-Paper-Scissors game: two players independently show one of the three items, rock, scissors, or paper. The winner is determined as follows: scissors beat paper, paper beats stone, and stone beats scissors. Two identical items mean a draw. As you can see, if the players make their moves independently from each other and randomly, the average of their personal wins will be a draw. However, if the opponent has a strategy, then you can try to compute it.

The result of our development is the following interface:

The interface consists of the following parts:

• Display of the current game's results: You can see your move and the computer's move, as well as the winner based on the rules.

• Buttons to select the next move: By clicking on one of the buttons, you make your move and the computer makes...