Statistical tableau
how to use statistical models and decision science in Tableau
Seiten
2024
|
1. Auflage
O'Reilly Media (Verlag)
978-1-0981-5179-9 (ISBN)
O'Reilly Media (Verlag)
978-1-0981-5179-9 (ISBN)
This practical book walks intermediate to advanced Tableau users through ways that statistics can help you incorporate decision science into the visualizations you create. Data analysts, business analysts, and business intelligence specialists will greatly benefit from this book.
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
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
Ethan Lang is an award-winning data visualization designer and engineer. He is the co-leader of the Veterans Advocacy Tableau User Group, a Tableau User Group ambassador, and a technical reviewer on multiple best-selling Tableau books. His data visualization strategies have been shared in dozens of cities across North America including Orlando, Portland, and Kansas City and he is currently authoring his first book "Statistical Tableau".
| Erscheinungsdatum | 14.05.2024 |
|---|---|
| Zusatzinfo | Illustrationen |
| Verlagsort | Sebastopol |
| Sprache | englisch |
| Maße | 178 x 233 mm |
| Einbandart | kartoniert |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| ISBN-10 | 1-0981-5179-8 / 1098151798 |
| ISBN-13 | 978-1-0981-5179-9 / 9781098151799 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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