Advanced analytics in power BI with R and Python : ingesting, transforming, visualizing /

This easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field of data analytics to your work in Microsoft Power BI. Data analytics expert and author Ryan Wade shows you how to use R and Python to perform tasks that are extremely hard to do, if not...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Wade, Ryan
Format: Electronic eBook
Language:Inglés
Published: [Indianapolis, USA] : Apress, 2020.
Subjects:
Microsoft .NET Framework.
Microsoft .NET Framework
Information visualization.
Python (Computer program language)
R (Computer program language)
Big data.
Visualisation de l'information.
Python (Langage de programmation)
R (Langage de programmation)
Données volumineuses.
Information visualization
Big data
Microsoft software
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Part I. Creating custom data visualizations using R
  • 1. The grammar of graphics
  • 2. Creating R custom visuals in Power BI using ggplot2
  • Part II. Ingesting data into the Power BI data model using R and Python
  • 3. Reading CSV files
  • 4. Reading excel files
  • 5. Reading SQL server data
  • 6. Reading data into the Power BI data model via an API
  • Part III. Transforming data using R and Python.-7. Advanced string manipulation and pattern matching
  • 8. Calculated columns using R and Python
  • Part IV. Machine learning & AI in Power BI using R and Python
  • 9. Applying machine learning and AI to your Power BI data models
  • 10. Productionizing data science models and data wrangling scripts.

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