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Key benefits

Discover best practices for using Python and R in Power BI by implementing non-trivial code

Enrich your Power BI dashboards using external APIs and machine learning models

Create any visualization, as complex as you want, using Python and R scripts

Description

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. 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.

Who is this book for?

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.

What you will learn

Configure optimal integration of Python and R with Power BI

Perform complex data manipulations not possible by default in Power BI

Boost Power BI logging and loading large datasets

Extract insights from your data using algorithms like linear optimization

Calculate string distances and learn how to use them for probabilistic fuzzy matching

Handle outliers and missing values for multivariate and time-series data

Apply Exploratory Data Analysis in Power BI with R

Learn to use Grammar of Graphics in Python

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

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Frequently bought together

$54.99

$54.99

Mastering Microsoft Power BI – Second Edition

$49.99

Total $ 159.97

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Shipments are not trackable

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Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

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Amazon verified reviews

Joseph C. Seroski Apr 01, 2024

This book is a good reference to understand how you can use Python and R in Power BI. It has a good introduction to getting setup and some great examples as to how you can extend your reports and advance your skills using these two programming languages.I enjoyed this book brings a unique perspective that I haven't seen in many other Power BI books. I am looking forward to getting more into the Python language, and this book will be helpful, especially with all the functionality coming to Fabric. I recommend this book to add another feather to your cap.

Amazon Verified review

Thomas Rice Aug 03, 2024

"Extending Power BI with Python and R" is a comprehensive and practical guide for enhancing data analysis capabilities in Power BI. With detailed explanations, practical examples, and step-by-step instructions, this book is an essential resource for anyone looking to integrate R and Python into their Power BI workflows. Whether you're a beginner or an experienced user, this book provides valuable insights and practical tips for maximizing the potential of Power BI. As an avid book worm, having read more than 30 books on the Microsoft Power Platform, this one is a must for anyone that works with Power BI. Highly recommended guys!

Arden Jul 26, 2024

The book author has a strong hold over the Powerbi community and even the technology I believe this book is beneficial for people who have had a strong command over the Power BI, R and Python space because of the diversity it brings throughout the chapters, the most important thing is the journey of different libraries and how it has affected the whole space and how the case studies have been shared throughout the book. Congratulations to the authors for binding in a book of such quality!

Sruthi Panikar Apr 16, 2024

Excellent book for anyone interested in python and r at the same time loved the book its an amazing title!

Brady Apr 03, 2024

A great resource for Power BI users aiming to bolster their analytical prowess. The authors offer well-explained and hands-on examples, leading readers through the intricacies of seamlessly integrating Python and R with Power BI.I was particularly drawn to the Python side of this book. I've often found using Python visuals or features in Power BI to be cumbersome. My visuals would load slowly, prompting me to revert to default visuals in Power BI and stick to traditional M query data transformations.This book opened up some possibilities I'd never considered where in the past I'd given up trying to implement. Python has much more appealing visuals and data capabilities but I didn't know how to use it without seemingly bogging down my entire report. As a heavy Power BI user, I got a lot of new ideas to consider from this book.

Extending Power BI with Python and R: Perform advanced analysis using the power of analytical languages , Second Edition

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