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...
Saved in:
| Superior document: | Title is part of eBook package: De Gruyter MLI AI COLLECTION |
|---|---|
| VerfasserIn: | |
| Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2020] ©2020 |
| Year of Publication: | 2020 |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (206 p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 04052nam a2200817Ia 4500 | ||
|---|---|---|---|
| 001 | 9781683925811 | ||
| 003 | DE-B1597 | ||
| 005 | 20240602123719.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr || |||||||| | ||
| 008 | 240602t20202020xxu fo d z eng d | ||
| 020 | |a 9781683925811 | ||
| 024 | 7 | |a 10.1515/9781683925811 |2 doi | |
| 035 | |a (DE-B1597)654004 | ||
| 035 | |a (OCoLC)1154519746 | ||
| 040 | |a DE-B1597 |b eng |c DE-B1597 |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxu |c US | ||
| 050 | 4 | |a QA276.4 | |
| 072 | 7 | |a COM021030 |2 bisacsh | |
| 082 | 0 | 4 | |a 519.50285 |2 23 |
| 100 | 1 | |a Greco, Christopher, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Data Science Tools : |b R • Excel • KNIME • OpenOffice / |c Christopher Greco. |
| 264 | 1 | |a Dulles, VA : |b Mercury Learning and Information, |c [2020] | |
| 264 | 4 | |c ©2020 | |
| 300 | |a 1 online resource (206 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | 0 | |t Frontmatter -- |t CONTENTS -- |t Preface -- |t Acknowledgments -- |t Notes on Permissions -- |t Chapter 1: First Steps -- |t Chapter 2: Importing Data -- |t Chapter 3: Statistical Tests -- |t Chapter 4: More Statistical Tests -- |t Chapter 5: Statistical Methods for Specific Tools -- |t Chapter 6: Summary -- |t Chapter 7: Supplemental Information -- |t Index |
| 506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
| 520 | |a 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 | ||
| 530 | |a Issued also in print. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 546 | |a In English. | ||
| 588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 02. Jun 2024) | |
| 650 | 0 | |a Statistics |x Data processing. | |
| 650 | 4 | |a Data. | |
| 650 | 4 | |a Software. | |
| 650 | 7 | |a COMPUTERS / Database Management / Data Mining. |2 bisacsh | |
| 653 | |a Excel. | ||
| 653 | |a KINE. | ||
| 653 | |a OpenOffice. | ||
| 653 | |a R. | ||
| 653 | |a T-Tests. | ||
| 653 | |a confidence intervals. | ||
| 653 | |a data representation. | ||
| 653 | |a geographic analysis. | ||
| 653 | |a histograms. | ||
| 653 | |a linear regression. | ||
| 653 | |a normal distribution. | ||
| 773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t MLI AI COLLECTION |z 9783111573533 |
| 773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t Sciendo All Ebooks Trial Collection 2024 |z 9783111502496 |
| 776 | 0 | |c EPUB |z 9781683925828 | |
| 776 | 0 | |c print |z 9781683925835 | |
| 856 | 4 | 0 | |u https://doi.org/10.1515/9781683925811 |
| 856 | 4 | 0 | |u https://www.degruyter.com/isbn/9781683925811 |
| 856 | 4 | 2 | |3 Cover |u https://www.degruyter.com/document/cover/isbn/9781683925811/original |
| 912 | |a 978-3-11-150249-6 Sciendo All Ebooks Trial Collection 2024 |b 2024 | ||
| 912 | |a 978-3-11-157353-3 MLI AI COLLECTION | ||
| 912 | |a EBA_BACKALL | ||
| 912 | |a EBA_CL_CHCOMSGSEN | ||
| 912 | |a EBA_DGALL | ||
| 912 | |a EBA_EBACKALL | ||
| 912 | |a EBA_EBKALL | ||
| 912 | |a EBA_ECL_CHCOMSGSEN | ||
| 912 | |a EBA_EEBKALL | ||
| 912 | |a EBA_ESTMALL | ||
| 912 | |a EBA_STMALL | ||
| 912 | |a GBV-deGruyter-alles | ||