Description: Further DetailsTitle: Extending Power BI with Python and RCondition: NewDescription: Ingest, transform, manipulate, and visualize your data beyond Power BI's capabilities.Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesDiscover best practices for using Python and R in Power BI by implementing non-trivial codeEnrich your Power BI dashboards using external APIs and machine learning modelsCreate any visualization, as complex as you want, using Python and R scriptsBook DescriptionThe 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.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.You'll reinforce your learning with questions at the end of each chapter.What you will learnConfigure optimal integration of Python and R with Power BIPerform complex data manipulations not possible by default in Power BIBoost Power BI logging and loading large datasetsExtract insights from your data using algorithms like linear optimizationCalculate string distances and learn how to use them for probabilistic fuzzy matchingHandle outliers and missing values for multivariate and time-series dataApply Exploratory Data Analysis in Power BI with RLearn to use Grammar of Graphics in PythonWho this book is forThis 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.Author: Luca ZavarellaContributor: Rajat Talwar (Foreword by)Country/Region of Manufacture: GBEAN: 9781837639533Format: PaperbackGenre: Business & FinanceISBN: 9781837639533ISBN-10: 1837639531Item Height: 235mmItem Length: 191mmLanguage: EnglishPublisher: Packt Publishing LimitedRelease Date: 03/29/2024Subtitle: Perform advanced analysis using the power of analytical languagesTopic: Computing & InternetRelease Year: 2024 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
Price: 92.45 USD
Location: GU14 0GT
End Time: 2024-11-17T03:51:15.000Z
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Book Title: Extending Power BI with Python and R
Contributor: Rajat Talwar (Foreword by)
Country/Region of Manufacture: GB
EAN: 9781837639533
Genre: Business & Finance
ISBN: 9781837639533
ISBN-10: 1837639531
Item Height: 235mm
Release Date: 03/29/2024
Release Year: 2024
Subtitle: Perform advanced analysis using the power of analytical languages
Title: Extending Power BI with Python and R
Topic: Computing & Internet
Number of Pages: 700 Pages
Language: English
Publication Name: Extending Power BI with Python and R : Perform Advanced Analysis Using the Power of Analytical Languages
Publisher: Packt Publishing, The Limited
Publication Year: 2024
Subject: General, Data Processing
Type: Textbook
Author: Luca Zavarella
Subject Area: Mathematics, Computers
Item Length: 92.5 in
Item Width: 75 in
Format: Trade Paperback
