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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

Permissible data format for import


Mathematica allows the importing of hundreds of data formats, but we only need some of them: those that are amenable to mathematical processing and analysis.

The main data formats can be divided into the following groups:

  • Tabular Text Formats: This includes general text format data (*.dat), comma-separated (*.csv), or tab-separated (*.tsv)

  • Spreadsheet Formats: This includes office programs data working with documents, such as Excel (*.xls and *.xlsx), Open Office (*.odc, and *.sxc), and even the first spreadsheet VisiCalc data (*.di f)

  • Data Interchange Formats: This includes the JSON format

  • Database Formats: This includes MS Access (*.mdb) and dBase (*.dbf)

  • Compression and Archive Formats: This includes the files created by archivers, such as Windows ZIP (*.zip), Unix GZIP (*.gz), Unix TAR (*.tar), and BZIP2 (*.bz2)

  • XML/HTML Formats: This includes extensions such as .xml, .xhtml, .html, and .rss

Note

Here, you may find the complete list of all the data formats...

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