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 Online-Ressource
Verfasst von:Lang, Ethan [VerfasserIn]   i
Titel:Statistical Tableau
Titelzusatz:how to use statistical models and decision science in Tableau
Verf.angabe:Ethan Lang
Verlagsort:Sebastopol
Verlag:O'Reilly Media, Incorporated
Jahr:2024
Umfang:1 online resource (317 p.)
Fussnoten:Description based upon print version of record. - What Is Polynomial Regression?
ISBN:978-1-0981-5176-8
 1-0981-5176-3
Abstract:In today's data-driven world, understanding statistical models is crucial for effective analysis and decision making. Whether you're a beginner or an experienced user, this book equips you with the foundational knowledge to grasp and implement statistical models within Tableau. Gain the confidence to speak fluently about the models you employ, driving adoption of your insights and analysis across your organization. As AI continues to revolutionize industries, possessing the skills to leverage statistical models is no longer optional--it's a necessity. Stay ahead of the curve and harness the full potential of your data by mastering the ability to interpret and utilize the insights generated by these models. Whether you're a data enthusiast, analyst, or business professional, this book empowers you to navigate the ever-evolving landscape of data analytics with confidence and proficiency. Start your journey toward data mastery today. In this book, you will learn: The basics of foundational statistical modeling with Tableau How to prove your analysis is statistically significant How to calculate and interpret confidence intervals Best practices for incorporating statistics into data visualizations How to connect external analytics resources from Tableau using R and Python.
URL:Aggregator: https://learning.oreilly.com/library/view/-/9781098151782/?ar
Datenträger:Online-Ressource
Sprache:eng
Bibliogr. Hinweis:Erscheint auch als : Druck-Ausgabe
Sach-SW:Visualisation de l'information
 Statistique - Informatique
K10plus-PPN:1890484415
 
 
Lokale URL UB: Zum Volltext
 
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