Extending Power BI with Python and R: perform advanced analysis using the power of analytical languages
The latest edition of this book delves deep into advanced analytics, focusing on enhancing Python and R proficiency within Power BI. New chapters cover optimizing Python and R settings, utilizing Intel's Math Kernel Library (MKL) for performance boosts, and addressing integration challenges. Te...
Gespeichert in:
| Beteilige Person: | |
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| Weitere beteiligte Personen: | |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Birmingham, UK
Packt Publishing Ltd.
2024
|
| Ausgabe: | Second edition. |
| Schriftenreihe: | Expert insight
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781837639533/?ar |
| Zusammenfassung: | The latest edition of this book delves deep into advanced analytics, focusing on enhancing Python and R proficiency within Power BI. New chapters cover optimizing Python and R settings, utilizing Intel's Math Kernel Library (MKL) for performance boosts, and addressing integration challenges. Techniques for managing large datasets beyond available RAM, employing the Parquet data format, and advanced fuzzy matching algorithms are explored. Additionally, it discusses leveraging SQL Server Language Extensions to overcome traditional Python and R limitations in Power BI. It also helps in crafting sophisticated visualizations using the Grammar of Graphics in both R and Python. This Power BI book will help you master data validation with regular expressions, import data from diverse sources, and apply advanced algorithms for transformation. You'll learn how to safeguard personal data in Power BI with techniques like pseudonymization, anonymization, and data masking. You'll also get to grips with the key statistical features of datasets by plotting multiple visual graphs in the process of building a machine learning model. The book will guide you on utilizing external APIs for enrichment, enhancing I/O performance, and leveraging Python and R for analysis. You'll reinforce your learning with questions at the end of each chapter. |
| Beschreibung: | Includes bibliographical references and index |
| Umfang: | 1 Online-Ressource (814 Seiten) illustrations |
| ISBN: | 9781837639533 |
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| spelling | Zavarella, Luca VerfasserIn aut Extending Power BI with Python and R perform advanced analysis using the power of analytical languages Luca Zavarella ; foreword by Rajat Talwar Second edition. Birmingham, UK Packt Publishing Ltd. 2024 1 Online-Ressource (814 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Expert insight Includes bibliographical references and index The latest edition of this book delves deep into advanced analytics, focusing on enhancing Python and R proficiency within Power BI. New chapters cover optimizing Python and R settings, utilizing Intel's Math Kernel Library (MKL) for performance boosts, and addressing integration challenges. Techniques for managing large datasets beyond available RAM, employing the Parquet data format, and advanced fuzzy matching algorithms are explored. Additionally, it discusses leveraging SQL Server Language Extensions to overcome traditional Python and R limitations in Power BI. It also helps in crafting sophisticated visualizations using the Grammar of Graphics in both R and Python. This Power BI book will help you master data validation with regular expressions, import data from diverse sources, and apply advanced algorithms for transformation. You'll learn how to safeguard personal data in Power BI with techniques like pseudonymization, anonymization, and data masking. You'll also get to grips with the key statistical features of datasets by plotting multiple visual graphs in the process of building a machine learning model. The book will guide you on utilizing external APIs for enrichment, enhancing I/O performance, and leveraging Python and R for analysis. You'll reinforce your learning with questions at the end of each chapter. Information visualization Computer programs Visual analytics Data processing Data mining Computer programs Business intelligence Computer programs R (Computer program language) Python (Computer program language) Visualisation de l'information ; Logiciels Analyse visuelle ; Informatique Exploration de données (Informatique) ; Logiciels R (Langage de programmation) Python (Langage de programmation) Talwar, Rajat MitwirkendeR ctb |
| spellingShingle | Zavarella, Luca Extending Power BI with Python and R perform advanced analysis using the power of analytical languages Information visualization Computer programs Visual analytics Data processing Data mining Computer programs Business intelligence Computer programs R (Computer program language) Python (Computer program language) Visualisation de l'information ; Logiciels Analyse visuelle ; Informatique Exploration de données (Informatique) ; Logiciels R (Langage de programmation) Python (Langage de programmation) |
| title | Extending Power BI with Python and R perform advanced analysis using the power of analytical languages |
| title_auth | Extending Power BI with Python and R perform advanced analysis using the power of analytical languages |
| title_exact_search | Extending Power BI with Python and R perform advanced analysis using the power of analytical languages |
| title_full | Extending Power BI with Python and R perform advanced analysis using the power of analytical languages Luca Zavarella ; foreword by Rajat Talwar |
| title_fullStr | Extending Power BI with Python and R perform advanced analysis using the power of analytical languages Luca Zavarella ; foreword by Rajat Talwar |
| title_full_unstemmed | Extending Power BI with Python and R perform advanced analysis using the power of analytical languages Luca Zavarella ; foreword by Rajat Talwar |
| title_short | Extending Power BI with Python and R |
| title_sort | extending power bi with python and r perform advanced analysis using the power of analytical languages |
| title_sub | perform advanced analysis using the power of analytical languages |
| topic | Information visualization Computer programs Visual analytics Data processing Data mining Computer programs Business intelligence Computer programs R (Computer program language) Python (Computer program language) Visualisation de l'information ; Logiciels Analyse visuelle ; Informatique Exploration de données (Informatique) ; Logiciels R (Langage de programmation) Python (Langage de programmation) |
| topic_facet | Information visualization Computer programs Visual analytics Data processing Data mining Computer programs Business intelligence Computer programs R (Computer program language) Python (Computer program language) Visualisation de l'information ; Logiciels Analyse visuelle ; Informatique Exploration de données (Informatique) ; Logiciels R (Langage de programmation) Python (Langage de programmation) |
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