ENGLISH

Data Science Tools: R, Excel, KNIME, & OpenOffice

Book information

Publisher
Mercury Learning and Information
Year
2020
ISBN
9781683925835, 1683925831
Language
english
Format
EPUB
Filesize
19 MB (19474455 bytes)
Pages
206\0
Topic
Computers\\Organization and Data Processing
Time added
2023-02-18 10:19:05

Description

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 CONTENTS Preface Acknowledgments Notes on Permissions Chapter 1:  First Steps 1.1 Introduction to Data Tools 1.1.1 The Software Is Easy to Use 1.1.2 The Software Is Available from Anywhere 1.1.3 The Software Is Updated Regularly 1.1.4 Summary 1.2 Why Data Analysis (Data Science) at All? 1.3 Where to Get Data Chapter 2:  Importing Data 2.1 Excel 2.1.1 Excel Analysis ToolPak 2.2 OpenOffice 2.3 Import into R and Rattle 2.4 Import into RStudio 2.5 Rattle Import 2.6 Import into KNIME 2.6.1 Stoplight Approach Chapter 3:  Statistical Tests 3.1 Descriptive Statistics 3.1.1 Excel 3.1.2 OpenOffice 3.1.3 RStudio/Rattle 3.1.4 KNIME 3.2 Cumulative Probability Charts 3.2.1 Excel 3.2.2 OpenOffice 3.2.3 R/RStudio/Rattle 3.2.4 KNIME 3.3 T-Test (Parametric) 3.3.1 Excel 3.3.2 OpenOffice 3.3.3 R/RStudio/Rattle 3.3.4 KNIME Chapter 4:  More Statistical Tests 4.1 Correlation 4.1.1 Excel 4.1.2 OpenOffice 4.1.3 R/RStudio/Rattle 4.1.4 KNIME 4.2 Regression 4.2.1 Excel 4.2.2 OpenOffice 4.2.3 R/RStudio/Rattle 4.2.4 KNIME 4.3 Confidence Interval 4.3.1 Excel 4.3.2 OpenOffice 4.3.3 R/RStudio/Rattle 4.3.4 KNIME 4.4 Random Sampling 4.4.1 Excel 4.4.2 OpenOffice 4.4.3 R/RStudio/Rattle 4.4.4 KNIME Chapter 5:  Statistical Methods for Specific Tools 5.1 Power 5.1.1 R/RStudio/Rattle 5.2 F-Test 5.2.1 Excel 5.2.2 R/RStudio/Rattle 5.2.3 KNIME 5.3 Multiple Regression/Correlation 5.3.1 Excel 5.3.2 OpenOffice 5.3.3 R/RStudio/Rattle 5.3.4 KNIME 5.4 Benford’s Law 5.4.1 Rattle 5.5 Lift 5.5.1 KNIME 5.6 Wordcloud 5.6.1 R/RStudio 5.6.2 KNIME 5.7 Filtering 5.7.1 Excel 5.7.2 OpenOffice 5.7.3 R/RStudio/Rattle 5.7.4 KNIME Chapter 6:  Summary 6.1 Packages 6.2 Analysis ToolPak Chapter 7:  Supplemental Information 7.1 Exercise One – Tornado and the States 7.1.1 Answer to Exercise 7.1 7.1.2 Pairing Exercise References Index

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