Extending Power BI with Python and R

Table of Contents - Where and How to Use R and Python Scripts in Power BI
- Configuring R with Power BI
- Configuring Python with Power BI
- Solving Common Issues When Using Python and R in Power BI
- Importing Unhandled Data Objects
- Using Regular Expressions in Power BI
- Anonymizing and Pseudonymizing your Data in Power BI
- Logging Data from Power BI to External Sources
- Loading Large Datasets Also Beyond the Available RAM in Power BI
- Boosting Data Loading Speed in Power BI with Parquet Format
- Calling External APIs To Enrich Your Data
- Calculating Columns Using Complex Algorithms: Distances
- Calculating Columns Using Complex Algorithms: Fuzzy Matching
- Calculating Columns Using Complex Algorithms: Optimization Problems
- Adding Statistics Insights: Associations
- Adding Statistics Insights: Outliers and Missing Values
- Using Machine Learning Without Premium or Embedded Capacity
- Using SQL Server External Languages for Advanced Analytics and ML Integration in Power BI
- Exploratory Data Analysis
- Using the Grammar of Graphics in Python with plotnine
- Advanced Visualizations
- Interactive R Custom Visuals