Data Science Tools : : R • Excel • KNIME • OpenOffice / / Christopher Greco.
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...
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Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2020] ©2020 |
Year of Publication: | 2020 |
Language: | English |
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Physical Description: | 1 online resource (206 p.) |
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Greco, Christopher, author. aut http://id.loc.gov/vocabulary/relators/aut Data Science Tools : R • Excel • KNIME • OpenOffice / Christopher Greco. Dulles, VA : Mercury Learning and Information, [2020] ©2020 1 online resource (206 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Frontmatter -- CONTENTS -- Preface -- Acknowledgments -- Notes on Permissions -- Chapter 1: First Steps -- Chapter 2: Importing Data -- Chapter 3: Statistical Tests -- Chapter 4: More Statistical Tests -- Chapter 5: Statistical Methods for Specific Tools -- Chapter 6: Summary -- Chapter 7: Supplemental Information -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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 Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 02. Jun 2024) Statistics Data processing. Data. Software. COMPUTERS / Database Management / Data Mining. bisacsh Excel. KINE. OpenOffice. R. T-Tests. confidence intervals. data representation. geographic analysis. histograms. linear regression. normal distribution. Title is part of eBook package: De Gruyter MLI AI COLLECTION 9783111573533 Title is part of eBook package: De Gruyter Sciendo All Ebooks Trial Collection 2024 9783111502496 EPUB 9781683925828 print 9781683925835 https://doi.org/10.1515/9781683925811 https://www.degruyter.com/isbn/9781683925811 Cover https://www.degruyter.com/document/cover/isbn/9781683925811/original |
language |
English |
format |
eBook |
author |
Greco, Christopher, Greco, Christopher, |
spellingShingle |
Greco, Christopher, Greco, Christopher, Data Science Tools : R • Excel • KNIME • OpenOffice / Frontmatter -- CONTENTS -- Preface -- Acknowledgments -- Notes on Permissions -- Chapter 1: First Steps -- Chapter 2: Importing Data -- Chapter 3: Statistical Tests -- Chapter 4: More Statistical Tests -- Chapter 5: Statistical Methods for Specific Tools -- Chapter 6: Summary -- Chapter 7: Supplemental Information -- Index |
author_facet |
Greco, Christopher, Greco, Christopher, |
author_variant |
c g cg c g cg |
author_role |
VerfasserIn VerfasserIn |
author_sort |
Greco, Christopher, |
title |
Data Science Tools : R • Excel • KNIME • OpenOffice / |
title_sub |
R • Excel • KNIME • OpenOffice / |
title_full |
Data Science Tools : R • Excel • KNIME • OpenOffice / Christopher Greco. |
title_fullStr |
Data Science Tools : R • Excel • KNIME • OpenOffice / Christopher Greco. |
title_full_unstemmed |
Data Science Tools : R • Excel • KNIME • OpenOffice / Christopher Greco. |
title_auth |
Data Science Tools : R • Excel • KNIME • OpenOffice / |
title_alt |
Frontmatter -- CONTENTS -- Preface -- Acknowledgments -- Notes on Permissions -- Chapter 1: First Steps -- Chapter 2: Importing Data -- Chapter 3: Statistical Tests -- Chapter 4: More Statistical Tests -- Chapter 5: Statistical Methods for Specific Tools -- Chapter 6: Summary -- Chapter 7: Supplemental Information -- Index |
title_new |
Data Science Tools : |
title_sort |
data science tools : r • excel • knime • openoffice / |
publisher |
Mercury Learning and Information, |
publishDate |
2020 |
physical |
1 online resource (206 p.) Issued also in print. |
contents |
Frontmatter -- CONTENTS -- Preface -- Acknowledgments -- Notes on Permissions -- Chapter 1: First Steps -- Chapter 2: Importing Data -- Chapter 3: Statistical Tests -- Chapter 4: More Statistical Tests -- Chapter 5: Statistical Methods for Specific Tools -- Chapter 6: Summary -- Chapter 7: Supplemental Information -- Index |
isbn |
9781683925811 9783111573533 9783111502496 9781683925828 9781683925835 |
callnumber-first |
Q - Science |
callnumber-subject |
QA - Mathematics |
callnumber-label |
QA276 |
callnumber-sort |
QA 3276.4 |
url |
https://doi.org/10.1515/9781683925811 https://www.degruyter.com/isbn/9781683925811 https://www.degruyter.com/document/cover/isbn/9781683925811/original |
illustrated |
Not Illustrated |
dewey-hundreds |
500 - Science |
dewey-tens |
510 - Mathematics |
dewey-ones |
519 - Probabilities & applied mathematics |
dewey-full |
519.50285 |
dewey-sort |
3519.50285 |
dewey-raw |
519.50285 |
dewey-search |
519.50285 |
doi_str_mv |
10.1515/9781683925811 |
oclc_num |
1154519746 |
work_keys_str_mv |
AT grecochristopher datasciencetoolsrexcelknimeopenoffice |
status_str |
n |
ids_txt_mv |
(DE-B1597)654004 (OCoLC)1154519746 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Title is part of eBook package: De Gruyter MLI AI COLLECTION Title is part of eBook package: De Gruyter Sciendo All Ebooks Trial Collection 2024 |
is_hierarchy_title |
Data Science Tools : R • Excel • KNIME • OpenOffice / |
container_title |
Title is part of eBook package: De Gruyter MLI AI COLLECTION |
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1806144019170852864 |
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