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Data science tools : R, Excel, KNIME & OpenOffice /
In the world of data science there are myriad tools available to analyze data. This book describes some of the popular software application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using Microsoft Excel, KNIME, R, a...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Dulles, Virginia :
Mercury Learning and Information,
[2020]
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | In the world of data science there are myriad tools available to analyze data. This book describes some of the popular software application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using Microsoft Excel, KNIME, R, and OpenOffice (Spreadsheet). Each of these tools will be used to apply statistical concepts including confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysis using real data from Federal Government sources. Features: Analyzes data using popular applications such as Excel, R, KNIME, and OpenOffice; Covers statistical concepts including confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysis; Capstone exercises analyze data using the different software packages. |
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| Descripción Física: | 1 online resource (220 pages) : illustrations |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781683925811 1683925815 |