You're reading from Extending Power BI with Python and R Perform advanced analysis using the power of analytical languages

Product type Paperback

Published in Mar 2024

Publisher Packt

ISBN-13 9781837639533

Length 814 pages

Edition 2nd Edition

Languages

Python

Tools

Power BI

Concepts

Business Intelligence

Author (1):

Zavarella

View More author details

Table of Contents (27) Chapters

Preface

1. Where and How to Use R and Python Scripts in Power BI FREE CHAPTER

2. Configuring R with Power BI

3. Configuring Python with Power BI

4. Solving Common Issues When Using Python and R in Power BI

5. Importing Unhandled Data Objects

6. Using Regular Expressions in Power BI

7. Anonymizing and Pseudonymizing Your Data in Power BI

8. Logging Data from Power BI to External Sources

9. Loading Large Datasets Beyond the Available RAM in Power BI

10. Boosting Data Loading Speed in Power BI with Parquet Format

11. Calling External APIs to Enrich Your Data

12. Calculating Columns Using Complex Algorithms: Distances

13. Calculating Columns Using Complex Algorithms: Fuzzy Matching

14. Calculating Columns Using Complex Algorithms: Optimization Problems

15. Adding Statistical Insights: Associations

16. Adding Statistical Insights: Outliers and Missing Values

17. Using Machine Learning without Premium or Embedded Capacity

18. Using SQL Server External Languages for Advanced Analytics and ML Integration in Power BI

19. Exploratory Data Analysis

20. Using the Grammar of Graphics in Python with plotnine

21. Advanced Visualizations

22. Interactive R Custom Visuals

23. Other Books You May Enjoy

24. Index

Appendix 1: Answers

1. Appendix 2: Glossary

Logging to CSV files

One of the most widely used formats for logging tabular structured information to files is comma-separated values (CSV). Because a CSV file is still a flat text file, CSV is the most popular format for exchanging information between heterogeneous applications.A CSV file is a representation of a rectangular dataset (matrix) containing numeric or string columns. Each row of the matrix is represented by a list of values (one for each column), separated by commas, and should have the same number of values. Sometimes, other value delimiters may be used, such as tab (\t), colon (:), and semicolon (;) characters. The first row might contain the column heads. Usually, a line break, is used as a row delimiter, which is a CRLF (Carriage Return Line Feed) character (usually entered as \r\n), or simply by LF (\n) on Unix systems. Thus, an example of the contents of a CSV file might be as follows: