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Statistical Tableau


Statistical Tableau
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Statistical Tableau


Statistical Tableau
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Author : Ethan Lang
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-05-02

Statistical Tableau written by Ethan Lang and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-02 with Computers categories.


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



Statistical Tableau


Statistical Tableau
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Author : Ethan Lang
language : en
Publisher: O'Reilly Media
Release Date : 2024-07-30

Statistical Tableau written by Ethan Lang and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Computers categories.


To make sense of the vast amount of data in today's business landscape, you not only need to visualize data, but incorporate statistics into your visualizations as well. 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. Author Ethan Lang, data visualization designer and engineer, explains the decision science process and then demonstrates how you, your stakeholders, and your business can take action and make informed decisions with data much faster than before. You'll learn how this process will help you make more sense of your data and make data analysis more actionable and insightful. This book helps you: Get up to speed with the basic statistics & Tableau concepts you need to know Understand how to incorporate statistical models into your visualizations and/or analysis Understand how to explore your data to ensure you implement the correct models Explore multiple ways to detect and visualize anomalies in your data Use and understand tools native to Tableau to implement different regression models, forecasting, and clustering Download the necessary software and connect to external connections Explore examples that show you how to build and implement models using external connections



Advanced Analytics With R And Tableau


Advanced Analytics With R And Tableau
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Author : Jen Stirrup
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-08-22

Advanced Analytics With R And Tableau written by Jen Stirrup and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-22 with Computers categories.


Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R About This Book A comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and R Combine Tableau analytics and visualization with the power of R using this step-by-step guide Wondering how R can be used with Tableau? This book is your one-stop solution. Who This Book Is For This book will appeal to Tableau users who want to go beyond the Tableau interface and deploy the full potential of Tableau, by using R to perform advanced analytics with Tableau. A basic familiarity with R is useful but not compulsory, as the book will start off with concrete examples of R and will move quickly into more advanced spheres of analytics using online data sources to support hands-on learning. Those R developers who want to integrate R in Tableau will also benefit from this book. What You Will Learn Integrate Tableau's analytics with the industry-standard, statistical prowess of R. Make R function calls in Tableau, and visualize R functions with Tableau using RServe. Use the CRISP-DM methodology to create a roadmap for analytics investigations. Implement various supervised and unsupervised learning algorithms in R to return values to Tableau. Make quick, cogent, and data-driven decisions for your business using advanced analytical techniques such as forecasting, predictions, association rules, clustering, classification, and other advanced Tableau/R calculated field functions. In Detail Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation. Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics. By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples. Style and approach Tableau (uniquely) offers excellent visualization combined with advanced analytics; R is at the pinnacle of statistical computational languages. When you want to move from one view of data to another, backed up by complex computations, the combination of R and Tableau makes the perfect solution. This example-rich guide will teach you how to combine these two to perform advanced analytics by integrating Tableau with R and create beautiful data visualizations.



Pro Tableau


Pro Tableau
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Author : Seema Acharya
language : en
Publisher: Apress
Release Date : 2016-12-23

Pro Tableau written by Seema Acharya and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-23 with Computers categories.


Leverage the power of visualization in business intelligence and data science to make quicker and better decisions. Use statistics and data mining to make compelling and interactive dashboards. This book will help those familiar with Tableau software chart their journey to being a visualization expert. Pro Tableau demonstrates the power of visual analytics and teaches you how to: Connect to various data sources such as spreadsheets, text files, relational databases (Microsoft SQL Server, MySQL, etc.), non-relational databases (NoSQL such as MongoDB, Cassandra), R data files, etc. Write your own custom SQL, etc. Perform statistical analysis in Tableau using R Use a multitude of charts (pie, bar, stacked bar, line, scatter plots, dual axis, histograms, heat maps, tree maps, highlight tables, box and whisker, etc.) What you’ll learn Connect to various data sources such as relational databases (Microsoft SQL Server, MySQL), non-relational databases (NoSQL such as MongoDB, Cassandra), write your own custom SQL, join and blend data sources, etc. Leverage table calculations (moving average, year over year growth, LOD (Level of Detail), etc. Integrate Tableau with R Tell a compelling story with data by creating highly interactive dashboards Who this book is for All levels of IT professionals, from executives responsible for determining IT strategies to systems administrators, to data analysts, to decision makers responsible for driving strategic initiatives, etc. The book will help those familiar with Tableau software chart their journey to a visualization expert.



Essentials Of Business Statistics


Essentials Of Business Statistics
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Author : Regina Trevino
language : en
Publisher:
Release Date : 2019-09

Essentials Of Business Statistics written by Regina Trevino and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09 with categories.


This book presents, in a concise but rigorous way, the important statistical tools and methods essential for today's complex, data-driven evaluation processes.



Tableau Desktop Pocket Reference


Tableau Desktop Pocket Reference
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Author : Ryan Sleeper
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-01-21

Tableau Desktop Pocket Reference written by Ryan Sleeper and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-21 with Computers categories.


In a crowded field of data visualization and analytics tools, Tableau Desktop has emerged as the clear leader. This is partly due to its ease of use, but once you dive into Tableau's extensive feature set, you'll understand just how powerful and flexible this software can be for your business or organization. With this handy pocket reference, author Ryan Sleeper (Innovative Tableau) shows you how to translate the vast amounts of data into useful information. Tableau has done an amazing job of making valuable insights accessible to analysts and executives who would otherwise need to rely on IT. This book quickly guides you through Tableau Desktop's learning curve. You'll learn: How to shape data for use with Tableau Desktop How to create the most effective chart types Core concepts including discrete versus continuous Must-know technical features including filters, parameters, and sets Key syntax for creating the most useful analyses How to bring it all together with dashboards And more!



Advanced Analytics With R And Tableau


Advanced Analytics With R And Tableau
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Author : Jen Stirrup
language : en
Publisher:
Release Date : 2017

Advanced Analytics With R And Tableau written by Jen Stirrup and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with R (Computer program language) categories.




Visual Analytics With Tableau


Visual Analytics With Tableau
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Author : Alexander Loth
language : en
Publisher: John Wiley & Sons
Release Date : 2019-04-08

Visual Analytics With Tableau written by Alexander Loth and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-08 with Computers categories.


A four-color journey through a complete Tableau visualization Tableau is a popular data visualization tool that’s easy for individual desktop use as well as enterprise. Used by financial analysts, marketers, statisticians, business and sales leadership, and many other job roles to present data visually for easy understanding, it’s no surprise that Tableau is an essential tool in our data-driven economy. Visual Analytics with Tableau is a complete journey in Tableau visualization for a non-technical business user. You can start from zero, connect your first data, and get right into creating and publishing awesome visualizations and insightful dashboards. • Learn the different types of charts you can create • Use aggregation, calculated fields, and parameters • Create insightful maps • Share interactive dashboards Geared toward beginners looking to get their feet wet with Tableau, this book makes it easy and approachable to get started right away.



Egyptian Statistical Tableau For The Year 1896 98


Egyptian Statistical Tableau For The Year 1896 98
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Author : R.J. Moss & Co. (Alexandria, Egypt)
language : en
Publisher:
Release Date : 1897

Egyptian Statistical Tableau For The Year 1896 98 written by R.J. Moss & Co. (Alexandria, Egypt) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1897 with Egypt categories.




Tableau Desktop Pocket Reference


Tableau Desktop Pocket Reference
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Author : Ryan Sleeper
language : en
Publisher: O'Reilly Media
Release Date : 2021-08-17

Tableau Desktop Pocket Reference written by Ryan Sleeper and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-17 with Computers categories.


In a crowded field of data visualization and analytics tools, Tableau Desktop has emerged as the clear leader. This is partly due to its ease of use, but once you dive into Tableau's extensive feature set, you'll understand just how powerful and flexible this software can be for your business. With this handy pocket reference, author Ryan Sleeper (Practical Tableau and Innovative Tableau) shows you how to translate the vast amounts of data you've collected into useful information. Tableau has done an amazing job of making valuable insights accessible to analysts and executives who would otherwise need to rely on IT. This book quickly guides you through Tableau Desktop's learning curve. You'll learn: How to shape data for use with Tableau Desktop How to create the most effective data visualizations Core concepts including discrete versus continuous Must-know technical features including filters, parameters, and sets Key syntax for creating the most useful analyses How to bring it all together with dashboards And more