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Mathematica Data Analysis

You're reading from   Mathematica Data Analysis Learn and explore the fundamentals of data analysis with power of Mathematica

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781785884931
Length 164 pages
Edition 1st Edition
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Author (1):
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Sergiy Suchok Sergiy Suchok
Author Profile Icon Sergiy Suchok
Sergiy Suchok
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Toc

Table of Contents (10) Chapters Close

Preface 1. First Steps in Data Analysis FREE CHAPTER 2. Broad Capabilities for Data Import 3. Creating an Interface for an External Program 4. Analyzing Data with the Help of Mathematica 5. Discovering the Advanced Capabilities of Time Series 6. Statistical Hypothesis Testing in Two Clicks 7. Predicting the Dataset Behavior 8. 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):

Additional cleaning functions and data conversion

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...

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