{"product_id":"extending-power-bi-with-python-and-r-second-edition-perform-advanced-analysis-using-the-power-of-analytical-languages-9781837639533","title":"Extending Power BI with Python and R - Second Edition: Perform advanced analysis using the power of analytical languages","description":"\u003cp\u003e\u003cstrong\u003eIngest, transform, manipulate, and visualize your data beyond Power BI's capabilities.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePurchase of the print or Kindle book includes a free eBook in PDF format.\u003c\/strong\u003e\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eDiscover best practices for using Python and R in Power BI by implementing non-trivial code\u003c\/li\u003e\n\u003cli\u003eEnrich your Power BI dashboards using external APIs and machine learning models\u003c\/li\u003e\n\u003cli\u003eCreate any visualization, as complex as you want, using Python and R scripts\u003c\/li\u003e\n\u003c\/ul\u003eBook Description\u003cp\u003eThe latest edition of this book delves deeper 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 laptop RAM, employing parquet data format, and advanced fuzzy matching algorithms are explored. Additionally, it discusses leveraging SQL Server External Languages 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\u003cp\u003eThis PowerBI book will help you master data validation with regular expressions, import data from diverse sources, and apply advanced algorithms for transformation. Next, you'll learn 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 data sets by plotting multiple visual graphs in the process of building a machine-learning model. The book will guide you to Utilize external APIs for enrichment, enhancing I\/O performance, and leveraging Python and R for analysis.\u003c\/p\u003e\u003cp\u003eYou'll also be able to reinforce learning with questions at the end of each chapter.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eConfigure optimal integration of Python and R with Power BI\u003c\/li\u003e\n\u003cli\u003ePerform complex data manipulations not possible by default in Power BI\u003c\/li\u003e\n\u003cli\u003eBoost Power BI logging and loading large datasets\u003c\/li\u003e\n\u003cli\u003eExtract insights from your data using algorithms like linear optimization\u003c\/li\u003e\n\u003cli\u003eCalculate string distances and learn how to use them for probabilistic fuzzy matching\u003c\/li\u003e\n\u003cli\u003eHandle outliers and missing values for multivariate and time-series data\u003c\/li\u003e\n\u003cli\u003eApply Exploratory Data Analysis in Power BI with R\u003c\/li\u003e\n\u003cli\u003eLearn to use Grammar of Graphics in Python\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eThis 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\u003eTable of Contents\u003col\u003e\n\u003cli\u003eWhere and How to Use R and Python Scripts in Power BI\u003c\/li\u003e\n\u003cli\u003eConfiguring R with Power BI\u003c\/li\u003e\n\u003cli\u003eConfiguring Python with Power BI\u003c\/li\u003e\n\u003cli\u003eSolving Common Issues When Using Python and R in Power BI\u003c\/li\u003e\n\u003cli\u003eImporting Unhandled Data Objects\u003c\/li\u003e\n\u003cli\u003eUsing Regular Expressions in Power BI\u003c\/li\u003e\n\u003cli\u003eAnonymizing and Pseudonymizing your Data in Power BI\u003c\/li\u003e\n\u003cli\u003eLogging Data from Power BI to External Sources\u003c\/li\u003e\n\u003cli\u003eLoading Large Datasets Also Beyond the Available RAM in Power BI\u003c\/li\u003e\n\u003cli\u003eOptimizing the Loading Time of Referenced Queries in Power BI\u003c\/li\u003e\n\u003cli\u003eCalling External APIs To Enrich Your Data\u003c\/li\u003e\n\u003cli\u003eCalculating Columns Using Complex Algorithms: Distances\u003c\/li\u003e\n\u003cli\u003eCalculating Columns Using Complex Algorithms: Fuzzy Matching\u003c\/li\u003e\n\u003cli\u003eCalculating Columns Using Complex Algorithms: Optimization Problems\u003c\/li\u003e\n\u003cli\u003eAdding Statistics Insights: Associations\u003c\/li\u003e\n\u003cli\u003eAdding Statistics Insights: Outliers and Missing Values\u003c\/li\u003e\n\u003c\/ol\u003e\u003cp\u003e(N.B. Please use the Look Inside option to see further chapters)\u003c\/p\u003e\u003cbr\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":50490272678162,"sku":"9781837639533","price":50.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_af891146-1379-41b3-bb16-05cb03df5a3f.jpg?v=1730517801","url":"https:\/\/surprise-castle.myshopify.com\/products\/extending-power-bi-with-python-and-r-second-edition-perform-advanced-analysis-using-the-power-of-analytical-languages-9781837639533","provider":"Surprise Castle","version":"1.0","type":"link"}