#### 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

## Additional cleaning functions and data conversion

Let's examine additional parameters of the functions that can help when importing data. Sometimes the data can be littered or have a wrong format—for example, instead of numeric, there may appear text data or it can be missing completely.

You can control the format of the incoming data with the help of templates that are used in the `Case` function. For example, if you need only numeric data to be imported, then the template will look like this: `x_?NumericQ`.

### Note

All information about data types used in Mathematica can be found at http://reference.wolfram.com/language/tutorial/PuttingConstraintsOnPatterns.html.

Let's take a wider range of data for the analysis on unemployment in a country (country, date, and unemployment rate):

When you import data, it is important to check the format of the input data—for example, the number `2.3` can be identified as the string "2.3", and as a result, we are no longer able to work with strings. The input data format...