Extending Power BI with Python and R. (Record no. 15278)
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| fixed length control field | 03577nam a2200277uu 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250710181509.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250616s||||||||||||||||o||||||||||| |d |
| 024 80 - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 9781837635863 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | PACKT |
| Transcribing agency | PACKT |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | en |
| 044 ## - COUNTRY OF PUBLISHING/PRODUCING ENTITY CODE | |
| MARC country code | GB |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Luca Zavarella |
| Relator term | author. |
| 245 00 - TITLE STATEMENT | |
| Title | Extending Power BI with Python and R. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | GB: |
| Name of publisher, distributor, etc. | Packt, |
| Date of publication, distribution, etc. | 2024-03-29. |
| 263 ## - PROJECTED PUBLICATION DATE | |
| Projected publication date | 2024-03-29 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | GB: |
| Name of producer, publisher, distributor, manufacturer | Packt, |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 814. |
| 377 ## - ASSOCIATED LANGUAGE | |
| Language code | en |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | <p><b>Ingest, transform, manipulate, and visualize your data beyond Power BI's capabilities.<br/>Purchase of the print or Kindle book includes a free eBook in PDF format.</b></p><h4>Key Features</h4><ul><li>Discover best practices for using Python and R in Power BI by implementing non-trivial code</li><li>Enrich your Power BI dashboards using external APIs and machine learning models</li><li>Create any visualization, as complex as you want, using Python and R scripts</li></ul><h4>Book Description</h4>The latest edition of this book delves deep into advanced analytics, focusing on enhancing Python and R proficiency within Power BI. New chapters cover optimizing Python and R settings, utilizing Intel's Math Kernel Library (MKL) for performance boosts, and addressing integration challenges. Techniques for managing large datasets beyond available RAM, employing the Parquet data format, and advanced fuzzy matching algorithms are explored. Additionally, it discusses leveraging SQL Server Language Extensions to overcome traditional Python and R limitations in Power BI. It also helps in crafting sophisticated visualizations using the Grammar of Graphics in both R and Python.<br/><br/>This Power BI book will help you master data validation with regular expressions, import data from diverse sources, and apply advanced algorithms for transformation. You'll learn how to safeguard personal data in Power BI with techniques like pseudonymization, anonymization, and data masking. You'll also get to grips with the key statistical features of datasets by plotting multiple visual graphs in the process of building a machine learning model. The book will guide you on utilizing external APIs for enrichment, enhancing I/O performance, and leveraging Python and R for analysis.<br/><br/>You'll reinforce your learning with questions at the end of each chapter.<h4>What you will learn</h4><ul><li>Configure optimal integration of Python and R with Power BI</li><li>Perform complex data manipulations not possible by default in Power BI</li><li>Boost Power BI logging and loading large datasets</li><li>Extract insights from your data using algorithms like linear optimization</li><li>Calculate string distances and learn how to use them for probabilistic fuzzy matching</li><li>Handle outliers and missing values for multivariate and time-series data</li><li>Apply Exploratory Data Analysis in Power BI with R</li><li>Learn to use Grammar of Graphics in Python</li></ul><h4>Who this book is for</h4>This book is for business analysts, business intelligence professionals, and data scientists who already use Microsoft Power BI and want to add more value to their analysis using Python and R. Working knowledge of Power BI is required to make the most of this book. Basic knowledge of Python and R will also be helpful. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Data in extended ASCII character set. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: Internet. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Rajat Talwar |
| Relator term | author. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | PACKT |
| 773 0# - HOST ITEM ENTRY | |
| Title | Extending Power BI with Python and R |
| Place, publisher, and date of publication | GB,Packt,2024-03-29 |
| Physical description | 814 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://learning.packt.com/product/470872">https://learning.packt.com/product/470872</a> |
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