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Luca Zavarella Extending Power BI with Python and R (Paperback)

Description: Further DetailsTitle: Extending Power BI with Python and RCondition: NewFormat: PaperbackSubtitle: Perform advanced analysis using the power of analytical languagesISBN-10: 1837639531EAN: 9781837639533ISBN: 9781837639533Publisher: Packt Publishing LimitedRelease Date: 03/29/2024Description: 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.Language: EnglishCountry/Region of Manufacture: GBItem Height: 235mmItem Length: 191mmAuthor: Luca ZavarellaContributor: Rajat Talwar (Foreword by)Genre: Business & FinanceTopic: 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.

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End Time: 2024-11-16T02:31:30.000Z

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Luca Zavarella Extending Power BI with Python and R (Paperback)

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Book Title: Extending Power BI with Python and R

Title: Extending Power BI with Python and R

Subtitle: Perform advanced analysis using the power of analytical languages

ISBN-10: 1837639531

EAN: 9781837639533

ISBN: 9781837639533

Release Date: 03/29/2024

Release Year: 2024

Country/Region of Manufacture: GB

Item Height: 235mm

Contributor: Rajat Talwar (Foreword by)

Genre: Business & Finance

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

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