Advanced Analytics with R and Tableau

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Publisher : Packt Publishing Ltd
ISBN 13 : 1786460246
Total Pages : 178 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Advanced Analytics with R and Tableau by : Jen Stirrup

Download or read book Advanced Analytics with R and Tableau written by Jen Stirrup and published by Packt Publishing Ltd. This book was released on 2017-08-22 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Analytics with R and Tableau

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Publisher :
ISBN 13 : 9781523125234
Total Pages : 178 pages
Book Rating : 4.1/5 (252 download)

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Book Synopsis Advanced Analytics with R and Tableau by : Jen Stirrup

Download or read book Advanced Analytics with R and Tableau written by Jen Stirrup and published by . This book was released on 2017 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Tableau Your Data!

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119001196
Total Pages : 736 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Tableau Your Data! by : Daniel G. Murray

Download or read book Tableau Your Data! written by Daniel G. Murray and published by John Wiley & Sons. This book was released on 2016-01-26 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transform your organization's data into actionable insights with Tableau Tableau is designed specifically to provide fast and easy visual analytics. The intuitive drag-and-drop interface helps you create interactive reports, dashboards, and visualizations, all without any special or advanced training. This all new edition of Tableau Your Data! is your Tableau companion, helping you get the most out of this invaluable business toolset. Tableau Your Data! shows you how to build dynamic, best of breed visualizations using the Tableau Software toolset. This comprehensive guide covers the core feature set for data analytics, and provides clear step-by-step guidance toward best practices and advanced techniques that go way beyond the user manual. You'll learn how Tableau is different from traditional business information analysis tools, and how to navigate your way around the Tableau 9.0 desktop before delving into functions and calculations, as well as sharing with the Tableau Server. Analyze data more effectively with Tableau Desktop Customize Tableau's settings for your organization's needs with detailed real-world examples on data security, scaling, syntax, and more Deploy visualizations to consumers throughout the enterprise - from sales to marketing, operations to finance, and beyond Understand Tableau functions and calculations and leverage Tableau across every link in the value chain Learn from actual working models of the book's visualizations and other web-based resources via a companion website Tableau helps you unlock the stories within the numbers, and Tableau Your Data! puts the software's full functionality right at your fingertips.

Mastering Tableau 2021

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Publisher : Packt Publishing Ltd
ISBN 13 : 1800560745
Total Pages : 793 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Mastering Tableau 2021 by : Marleen Meier

Download or read book Mastering Tableau 2021 written by Marleen Meier and published by Packt Publishing Ltd. This book was released on 2021-05-31 with total page 793 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build, design, and improve advanced business intelligence solutions using Tableau's latest features, including Tableau Prep Builder, Tableau Hyper, and Tableau Server Key FeaturesMaster new features in Tableau 2021 to solve real-world analytics challengesPerform geo-spatial, time series, and self-service analytics using real-life examplesBuild and publish dashboards and explore storytelling using Python and R integration supportBook Description Tableau is one of the leading business intelligence (BI) tools that can help you solve data analysis challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. Updated with fresh topics including Quick Level of Detail expressions, the newest Tableau Server features, Einstein Discovery, and more, this book covers essential Tableau concepts and advanced functionalities. Leveraging Tableau Hyper files and using Prep Builder, you'll be able to perform data preparation and handling easily. You'll gear up to perform complex joins, spatial joins, unions, and data blending tasks using practical examples. Next, you'll learn how to execute data densification and further explore expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. You'll also learn about improving dashboard performance, connecting to Tableau Server and understanding data visualization with examples. Finally, you'll cover advanced use cases such as self-service analysis, time series analysis, and geo-spatial analysis, and connect Tableau to Python and R to implement programming functionalities within it. By the end of this Tableau book, you'll have mastered the advanced offerings of Tableau 2021 and be able to tackle common and advanced challenges in the BI domain. What you will learnGet up to speed with various Tableau componentsMaster data preparation techniques using Tableau Prep BuilderDiscover how to use Tableau to create a PowerPoint-like presentationUnderstand different Tableau visualization techniques and dashboard designsInteract with the Tableau server to understand its architecture and functionalitiesStudy advanced visualizations and dashboard creation techniquesBrush up on powerful self-service analytics, time series analytics, and geo-spatial analyticsWho this book is for This book is designed for business analysts, business intelligence professionals and data analysts who want to master Tableau to solve a range of data science and business intelligence problems. The book is ideal if you have a good understanding of Tableau and want to take your skills to the next level.

R for Everyone

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Publisher : Addison-Wesley Professional
ISBN 13 : 0134546997
Total Pages : 1454 pages
Book Rating : 4.1/5 (345 download)

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Book Synopsis R for Everyone by : Jared P. Lander

Download or read book R for Everyone written by Jared P. Lander and published by Addison-Wesley Professional. This book was released on 2017-06-13 with total page 1454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you’ll make your code reproducible with LaTeX, RMarkdown, and Shiny. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. Coverage includes Explore R, RStudio, and R packages Use R for math: variable types, vectors, calling functions, and more Exploit data structures, including data.frames, matrices, and lists Read many different types of data Create attractive, intuitive statistical graphics Write user-defined functions Control program flow with if, ifelse, and complex checks Improve program efficiency with group manipulations Combine and reshape multiple datasets Manipulate strings using R’s facilities and regular expressions Create normal, binomial, and Poisson probability distributions Build linear, generalized linear, and nonlinear models Program basic statistics: mean, standard deviation, and t-tests Train machine learning models Assess the quality of models and variable selection Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods Analyze univariate and multivariate time series data Group data via K-means and hierarchical clustering Prepare reports, slideshows, and web pages with knitr Display interactive data with RMarkdown and htmlwidgets Implement dashboards with Shiny Build reusable R packages with devtools and Rcpp Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available.

Visual Analytics with Tableau

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Publisher : John Wiley & Sons
ISBN 13 : 1119562031
Total Pages : 288 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Visual Analytics with Tableau by : Alexander Loth

Download or read book Visual Analytics with Tableau written by Alexander Loth and published by John Wiley & Sons. This book was released on 2019-04-09 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Tableau Prep: Up & Running

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Publisher : O'Reilly Media
ISBN 13 : 1492079596
Total Pages : 444 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Tableau Prep: Up & Running by : Carl Allchin

Download or read book Tableau Prep: Up & Running written by Carl Allchin and published by O'Reilly Media. This book was released on 2020-08-03 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: For self-service data preparation, Tableau Prep is relatively easy to use—as long as you know how to clean and organize your datasets. Carl Allchin, from The Information Lab in London, gets you up to speed on Tableau Prep through a series of practical lessons that include methods for preparing, cleaning, automating, organizing, and outputting your datasets. Based on Allchin’s popular blog, Preppin’ Data, this practical guide takes you step-by-step through Tableau Prep’s fundamentals. Self-service data preparation reduces the time it takes to complete data projects and improves the quality of your analyses. Discover how Tableau Prep helps you access your data and turn it into valuable information. Know what to look for when you prepare data Learn which Tableau Prep functions to use when working with data fields Analyze the shape and profile of your dataset Output data for analysis and learn how Tableau Prep automates your workflow Learn how to clean your dataset using Tableau Prep functions Explore ways to use Tableau Prep techniques in real-world scenarios Make your data available to others by managing and documenting the output

ENHANCING TABLEAU WITH PYTHON AND R

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Publisher :
ISBN 13 : 9781803235073
Total Pages : pages
Book Rating : 4.2/5 (35 download)

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Book Synopsis ENHANCING TABLEAU WITH PYTHON AND R by : FRAN. CARDELLS

Download or read book ENHANCING TABLEAU WITH PYTHON AND R written by FRAN. CARDELLS and published by . This book was released on 2023 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

R for Everyone

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Author :
Publisher : Pearson Education
ISBN 13 : 0321888030
Total Pages : 464 pages
Book Rating : 4.3/5 (218 download)

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Book Synopsis R for Everyone by : Jared P. Lander

Download or read book R for Everyone written by Jared P. Lander and published by Pearson Education. This book was released on 2014 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to using and understanding the 'R' computer programming language.

Learning Tableau

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Publisher : Packt Publishing Ltd
ISBN 13 : 1784394343
Total Pages : 340 pages
Book Rating : 4.7/5 (843 download)

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Book Synopsis Learning Tableau by : Joshua N. Milligan

Download or read book Learning Tableau written by Joshua N. Milligan and published by Packt Publishing Ltd. This book was released on 2015-04-27 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to understand your data using data visualization and don't know where to start, then this is the book for you. Whether you are a beginner or have years of experience, this book will help you to quickly acquire the skills and techniques used to discover, analyze, and communicate data visually. Some familiarity with databases and data structures is helpful, but not required.

Data Analytics & Visualization All-in-One For Dummies

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Publisher : John Wiley & Sons
ISBN 13 : 1394244096
Total Pages : 839 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Data Analytics & Visualization All-in-One For Dummies by : Jack A. Hyman

Download or read book Data Analytics & Visualization All-in-One For Dummies written by Jack A. Hyman and published by John Wiley & Sons. This book was released on 2024-04-09 with total page 839 pages. Available in PDF, EPUB and Kindle. Book excerpt: Install data analytics into your brain with this comprehensive introduction Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place. Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling. Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one. You’ll learn all about sources of data like data lakes, and you’ll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau. You’ll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level. With this Dummies guide, you’ll be well on your way to becoming a priceless data jockey. Mine data from data sources Organize and analyze data Use data to tell a story with Tableau Expand your know-how with Python and R New and novice data analysts will love this All-in-One reference on how to make sense of data. Get ready to watch as your career in data takes off.

Statistical Tableau

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098151763
Total Pages : 317 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Statistical Tableau by : Ethan Lang

Download or read book Statistical Tableau written by Ethan Lang and published by "O'Reilly Media, Inc.". This book was released on 2024-05-02 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

#MakeoverMonday

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Publisher : John Wiley & Sons
ISBN 13 : 1119510791
Total Pages : 496 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis #MakeoverMonday by : Andy Kriebel

Download or read book #MakeoverMonday written by Andy Kriebel and published by John Wiley & Sons. This book was released on 2018-10-02 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore different perspectives and approaches to create more effective visualizations #MakeoverMonday offers inspiration and a giant dose of perspective for those who communicate data. Originally a small project in the data visualization community, #MakeoverMonday features a weekly chart or graph and a dataset that community members reimagine in order to make it more effective. The results have been astounding; hundreds of people have contributed thousands of makeovers, perfectly illustrating the highly variable nature of data visualization. Different takes on the same data showed a wide variation of theme, focus, content, and design, with side-by-side comparisons throwing more- and less-effective techniques into sharp relief. This book is an extension of that project, featuring a variety of makeovers that showcase various approaches to data communication and a focus on the analytical, design and storytelling skills that have been developed through #MakeoverMonday. Paging through the makeovers ignites immediate inspiration for your own work, provides insight into different perspectives, and highlights the techniques that truly make an impact. Explore the many approaches to visual data communication Think beyond the data and consider audience, stakeholders, and message Design your graphs to be intuitive and more communicative Assess the impact of layout, color, font, chart type, and other design choices Creating visual representation of complex datasets is tricky. There’s the mandate to include all relevant data in a clean, readable format that best illustrates what the data is saying—but there is also the designer’s impetus to showcase a command of the complexity and create multidimensional visualizations that “look cool.” #MakeoverMonday shows you the many ways to walk the line between simple reporting and design artistry to create exactly the visualization the situation requires.

Communicating Data with Tableau

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449372007
Total Pages : 335 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Communicating Data with Tableau by : Ben Jones

Download or read book Communicating Data with Tableau written by Ben Jones and published by "O'Reilly Media, Inc.". This book was released on 2014-06-16 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Go beyond spreadsheets and tables and design a data presentation that really makes an impact. This practical guide shows you how to use Tableau Software to convert raw data into compelling data visualizations that provide insight or allow viewers to explore the data for themselves. Ideal for analysts, engineers, marketers, journalists, and researchers, this book describes the principles of communicating data and takes you on an in-depth tour of common visualization methods. You’ll learn how to craft articulate and creative data visualizations with Tableau Desktop 8.1 and Tableau Public 8.1. Present comparisons of how much and how many Use blended data sources to create ratios and rates Create charts to depict proportions and percentages Visualize measures of mean, median, and mode Lean how to deal with variation and uncertainty Communicate multiple quantities in the same view Show how quantities and events change over time Use maps to communicate positional data Build dashboards to combine several visualizations

Tableau: Creating Interactive Data Visualizations

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Publisher : Packt Publishing Ltd
ISBN 13 : 1787120503
Total Pages : 645 pages
Book Rating : 4.7/5 (871 download)

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Book Synopsis Tableau: Creating Interactive Data Visualizations by : Jen Stirrup

Download or read book Tableau: Creating Interactive Data Visualizations written by Jen Stirrup and published by Packt Publishing Ltd. This book was released on 2016-08-31 with total page 645 pages. Available in PDF, EPUB and Kindle. Book excerpt: Illustrate your data in a more interactive way by implementing data visualization principles and creating visual stories using Tableau About This Book Use data visualization principles to help you to design dashboards that enlighten and support business decisions Integrate your data to provide mashed-up dashboards Connect to various data sources and understand what data is appropriate for Tableau Public Understand chart types and when to use specific chart types with different types of data Who This Book Is For Data scientists who have just started using Tableau and want to build on the skills using practical examples. Familiarity with previous versions of Tableau will be helpful, but not necessary. What You Will Learn Customize your designs to meet the needs of your business using Tableau Use Tableau to prototype, develop, and deploy the final dashboard Create filled maps and use any shape file Discover features of Tableau Public, from basic to advanced Build geographic maps to bring context to data Create filters and actions to allow greater interactivity to Tableau Public visualizations and dashboards Publish and embed Tableau visualizations and dashboards in articles In Detail With increasing interest for data visualization in the media, businesses are looking to create effective dashboards that engage as well as communicate the truth of data. Tableau makes data accessible to everyone, and is a great way of sharing enterprise dashboards across the business. Tableau is a revolutionary toolkit that lets you simply and effectively create high-quality data visualizations. This course starts with making you familiar with its features and enable you to develop and enhance your dashboard skills, starting with an overview of what dashboard is, followed by how you can collect data using various mathematical formulas. Next, you'll learn to filter and group data, as well as how to use various functions to present the data in an appealing and accurate way. In the first module, you will learn how to use the key advanced string functions to play with data and images. You will be walked through the various features of Tableau including dual axes, scatterplot matrices, heat maps, and sizing.In the second module, you'll start with getting your data into Tableau, move onto generating progressively complex graphics, and end with the finishing touches and packaging your work for distribution. This module is filled with practical examples to help you create filled maps, use custom markers, add slider selectors, and create dashboards. You will learn how to manipulate data in various ways by applying various filters, logic, and calculating various aggregate measures. Finally, in the third module, you learn about Tableau Public using which allows readers to explore data associations in multiple-sourced public data, and uses state-of-the-art dashboard and chart graphics to immerse the users in an interactive experience. In this module, the readers can quickly gain confidence in understanding and expanding their visualization, creation knowledge, and quickly create interesting, interactive data visualizations to bring a richness and vibrancy to complex articles. The course provides a great overview for beginner to intermediate Tableau users, and covers the creation of data visualizations of varying complexities. Style and approach The approach will be a combined perspective, wherein we start by performing some basic recipes and move on to some advanced ones. Finally, we perform some advanced analytics and create appealing and insightful data stories using Tableau Public in a step-by-step manner.

Tableau For Dummies

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Publisher : John Wiley & Sons
ISBN 13 : 1119134838
Total Pages : 384 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Tableau For Dummies by : Molly Monsey

Download or read book Tableau For Dummies written by Molly Monsey and published by John Wiley & Sons. This book was released on 2015-10-14 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make your data work for you! Tableau For Dummies brings order to the chaotic world of data. Understanding your data and organizing it into formats and visualizations that make sense to you are crucial to making a real impact on your business with the information that's already at your fingertips. This easy-to-use reference explores the user interface, and guides you through the process of connecting your data sources to the software. Additionally, this approachable, yet comprehensive text shows you how to use graphs, charts, and other images to bring visual interest to your data, how to create dashboards from multiple data sources, and how to export the visualizations that you have developed into multiple formats that translate into positive change for your business. The mission of Tableau Software is to grant you access to data that, when put into action, will help you build your company. Learning to use the data available to you helps you make informed, grounded business decisions that can spell success for your company. Navigate the user interface to efficiently access the features you need Connect to various spreadsheets, databases, and other data sources to create a multi-dimensional snapshot of your business Develop visualizations with easy to use drag and drop features Start building your data with templates and sample workbooks to spark your creativity and help you organize your information Tableau For Dummies is a step-by-step resource that helps you make sense of the data landscape—and put your data to work in support of your business.

Data Science and Analytics (with Python, R and SPSS Programming)

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Author :
Publisher : KHANNA PUBLISHING HOUSE
ISBN 13 : 9386173670
Total Pages : 276 pages
Book Rating : 4.3/5 (861 download)

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Book Synopsis Data Science and Analytics (with Python, R and SPSS Programming) by : V.K. Jain

Download or read book Data Science and Analytics (with Python, R and SPSS Programming) written by V.K. Jain and published by KHANNA PUBLISHING HOUSE. This book was released on with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Book has been written completely as per AICTE recommended syllabus on "Data Sciences". SALIENT FEATURES OF THE BOOK: Explains how data is collected, managed and stored for data science. With complete courseware for understand the key concepts in data science including their real-world applications and the toolkit used by data scientists. Implement data collection and management. Provided with state of the arts subjectwise. With all required tutorials on R, Python and Bokeh, Anaconda, IBM SPSS-21 and Matplotlib.