{"product_id":"9781837639533","title":"Extending Power BI with Python and R : Perform advanced analysis using the power of analytical languages (2ND)","description":"\u003cp\u003eIngest, transform, manipulate, and visualize your data beyond Power BI's capabilities.\n\u003cbr\u003ePurchase of the print or Kindle book includes a free eBook in PDF format.\u003c\/p\u003e\n\n\u003cp\u003eKey Features\u003c\/p\u003e\n\n\u003cp\u003eDiscover best practices for using Python and R in Power BI by implementing non-trivial code\n\u003cbr\u003eEnrich your Power BI dashboards using external APIs and machine learning models\n\u003cbr\u003eCreate any visualization, as complex as you want, using Python and R scripts\u003c\/p\u003e\n\n\u003cp\u003eBook 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.\u003c\/p\u003e\n\n\u003cp\u003eThis 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.\u003c\/p\u003e\n\n\u003cp\u003eYou'll reinforce your learning with questions at the end of each chapter.What you will learn\u003c\/p\u003e\n\n\u003cp\u003eConfigure optimal integration of Python and R with Power BI\n\u003cbr\u003ePerform complex data manipulations not possible by default in Power BI\n\u003cbr\u003eBoost Power BI logging and loading large datasets\n\u003cbr\u003eExtract insights from your data using algorithms like linear optimization\n\u003cbr\u003eCalculate string distances and learn how to use them for probabilistic fuzzy matching\n\u003cbr\u003eHandle outliers and missing values for multivariate and time-series data\n\u003cbr\u003eApply Exploratory Data Analysis in Power BI with R\n\u003cbr\u003eLearn to use Grammar of Graphics in Python\u003c\/p\u003e\n\n\u003cp\u003eWho 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.\u003c\/p\u003e","brand":"Packt Publishing Limited","offers":[{"title":"Default Title","offer_id":48226453324011,"sku":"EB_CP1000_F24-03_SIMS","price":95.2,"currency_code":"SGD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0758\/4484\/5803\/files\/9781837639533-1.jpg?v=1781706794","url":"https:\/\/kinokuniya.com.sg\/ja\/products\/9781837639533","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}