Book Image

Extending Power BI with Python and R

By : Luca Zavarella
Book Image

Extending Power BI with Python and R

By: Luca Zavarella

Overview of this book

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.
Table of Contents (22 chapters)
Section 1: Best Practices for Using R and Python in Power BI
Section 2: Data Ingestion and Transformation with R and Python in Power BI
Section 3: Data Enrichment with R and Python in Power BI
Section 3: Data Visualization with R in Power BI

Definition of the LP problem to solve

Now imagine that you are working for a company that needs to ship a product from different warehouses around the world to different countries. You have to hand the following:

  • The quantities of product available in warehouses:

Figure 10.18 – Quantities of product available in warehouses

  • The quantities of product required by countries:

Figure 10.19 – Quantities of product required by countries

  • The shipping costs from each of the warehouses to all requesting countries:

Figure 10.20 – Costs from warehouses to countries

Your goal is to minimize your company's costs by meeting all customer demands from different countries.

Formulating the LP problem

As seen in the previous section, you must first formulate the problem mathematically. Let's use a couple of numerical indexes, i and j, to identify the quantities sent...