Extending Power BI with Python and R: Ingest, transform, enrich, and visualize data using the power of analytical languages

Perform more advanced analysis and manipulation of your data beyond what Power BI can do to unlock valuable insights using Python and R

Key Features:

• Get the most out of Python and R with Power BI by implementing non-trivial code
• Leverage the toolset of Python and R chunks to inject scripts into your Power BI dashboards
• Implement new techniques for ingesting, enriching, and visualizing data with Python and R in Power BI

Book Description:

Python and R allow you to extend Power BI capabilities to simplify ingestion and transformation activities, enhance dashboards, and highlight insights. With this book, you'll be able to make your artifacts far more interesting and rich in insights using analytical languages.

You'll start by learning how to configure your Power BI environment to use your Python and R scripts. The book then explores data ingestion and data transformation extensions, and advances to focus on data augmentation and data visualization. You'll understand how to import data from external sources and transform them using complex algorithms. The book helps you implement personal data de-identification methods such as pseudonymization, anonymization, and masking in Power BI. You'll be able to call external APIs to enrich your data much more quickly using Python programming and R programming. 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 also understand the main statistical features of datasets by plotting multiple visual graphs in the process of creating a machine learning model.

By 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:

• Discover best practices for using Python and R in Power BI products
• Use Python and R to perform complex data manipulations in Power BI
• Apply data anonymization and data pseudonymization in Power BI
• Log data and load large datasets in Power BI using Python and R
• Enrich your Power BI dashboards using external APIs and machine learning models
• Extract insights from your data using linear optimization and other algorithms
• Handle outliers and missing values for multivariate and time-series data
• Create any visualization, as complex as you want, using R scripts

Who this book is 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.

這本書的描述如下：「透過使用Python和R，您可以在Power BI之外進行更高級的數據分析和操作，以解鎖有價值的洞察力。本書的重點包括：利用Python和R的非平凡程式碼來充分發揮Power BI的功能；使用Python和R的工具集將腳本注入到Power BI的儀表板中；在Power BI中使用Python和R實現新的數據摄取、豐富和可視化技術。」

書中首先介紹如何配置Power BI環境以使用Python和R腳本。然後探討數據摄取和數據轉換擴展，並進一步關注數據增強和數據可視化。您將了解如何從外部源導入數據並使用複雜算法進行轉換。本書還幫助您在Power BI中實現個人數據去識別化方法，如偽名化、匿名化和遮蔽。您將能夠使用Python編程和R編程更快地調用外部API來豐富數據。隨後，您將學習使用高級的Python和R技術進行深入分析，並使用統計和機器學習提取有價值的信息。在創建機器學習模型的過程中，您還將通過繪製多個視覺圖表來了解數據集的主要統計特徵。

通過閱讀本書，您將能夠使用Python和R中的複雜算法豐富您的Power BI數據模型和可視化。

本書適合商業分析師、商業智能專業人士和數據科學家，他們已經使用Microsoft Power BI並希望通過使用Python和R為其分析增加更多價值。為了充分利用本書，需要具備Power BI的工作知識，並且基本的Python和R知識也將有所幫助。