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Neither the author nor Packt Publishing or its dealers and distributors will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book. The information contained in this book is sold without warranty, either express or implied. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. However, the content and extracts of this book may evolve as it is being developed to ensure it is up-to-date.Īll rights reserved. Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. Using Machine Learning Without Premium or Embedded Capacity.Adding Statistics Insights: Outliers and Missing Values.Adding Statistics Insights: Associations.Calculating Columns Using Complex Algorithms.Calling External APIs to Enrich Your Data.Loading Large Datasets Beyond the Available RAM in Power BI.Logging Data From Power BI To External Sources.Anonymizing and Pseudonymizing Your Data in Power BI.
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Where and How to Use R and Python Scripts in Power BI.Basic knowledge of Python and R will also be helpful.Table of Contents Working knowledge of Power BI is required to make the most of this book.
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. Create any visualization, as complex as you want, using R scripts.Handle outliers and missing values for multivariate and time-series data.Extract insights from your data using linear optimization and other algorithms.Enrich your Power BI dashboards using external APIs and machine learning models.Log data and load large datasets in Power BI using Python and R.Apply data anonymization and data pseudonymization in Power BI.Use Python and R to perform complex data manipulations in Power BI.Discover best practices for using Python and R in Power BI products.You'll also understand the main statistical features of datasets by plotting multiple visual graphs in the process of creating a machine learning model.īy the end of this book, you'll be able to enrich your Power BI data models and visualizations using complex algorithms in Python and R.What you will learn Later, you'll learn advanced Python and R techniques to perform in-depth analysis and extract valuable information using statistics and machine learning. You'll be able to call external APIs to enrich your data much more quickly using Python programming and R programming. The book helps you implement personal data de-identification methods such as pseudonymization, anonymization, and masking in Power BI. You'll understand how to import data from external sources and transform them using complex algorithms. The book then explores data ingestion and data transformation extensions, and advances to focus on data augmentation and data visualization. You'll start by learning how to configure your Power BI environment to use your Python and R scripts. With this book, you'll be able to make your artifacts far more interesting and rich in insights using analytical languages. Python and R allow you to extend Power BI capabilities to simplify ingestion and transformation activities, enhance dashboards, and highlight insights. Implement new techniques for ingesting, enriching, and visualizing data with Python and R in Power BI.Leverage the toolset of Python and R chunks to inject scripts into your Power BI dashboards.
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