MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02052nam a2200253Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
NULRC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250308111817.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
241022s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781492088783 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
NULRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Tanimura, Cathy |
| Relator term |
author |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
SQL for data analysis / |
| Statement of responsibility, etc. |
Cathy Tanimura |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
First edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Sebastopol, CA : |
| Name of publisher, distributor, etc. |
O'Reilly Media, |
| Date of publication, distribution, etc. |
2021 |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
USD51.00 |
| 500 ## - GENERAL NOTE |
|---|
| General note |
1 user |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Preface -- Chapter 1. Analysis with SQL -- Chapter 2. Preparing Data for Analysis -- Chapter 3. Time Series Analysis -- Chapter 4. Cohort Analysis -- Chapter 5. Text Analysis -- Chapter 6. Anomaly Detection -- Chapter 7. Experiment Analysis -- Chapter 8. Creating Complex Data Sets for Analysis -- Chapter 9. Conclusion -- Index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your workflow.You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways--as well as how to combine SQL techniques to accomplish your goals faster, with understandable code. If you work with SQL databases, this is a must-have reference.Learn the key steps for preparing your data for analysisPerform time series analysis using SQL's date and time manipulationsUse cohort analysis to investigate how groups change over timeUse SQL's powerful functions and operators for text analysisDetect outliers in your data and replace them with alternate valuesEstablish causality using experiment analysis, also known as A/B testing. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
MATHEMATICAL STATISTICS |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
SQL (COMPUTER PROGRAM LANGUAGE) |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://research.ebsco.com/c/nahjoz/search/details/cf6zb3h2tf?db=nlebk&db=nlabk">https://research.ebsco.com/c/nahjoz/search/details/cf6zb3h2tf?db=nlebk&db=nlabk</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Electronic Resources |
