Master the intricacies of Tableau to create effective data visualizations About This Book Arm yourself with an arsenal of advanced chart types and geocoding to efficiently and engagingly present information Map a grid over a network node ...
Author: David Baldwin
Publisher: Packt Publishing Ltd
Master the intricacies of Tableau to create effective data visualizations About This Book Arm yourself with an arsenal of advanced chart types and geocoding to efficiently and engagingly present information Map a grid over a network node diagram and use that grid to demonstrate loads, processing time, and more in Tableau Integrate R with Tableau by utilizing R functions, libraries, and saved models Who This Book Is For If you are a business analyst without developer-level programming skills, then this book is for you. You are expected to have at least a fundamental understanding of Tableau and basic knowledge of joins, however SQL knowledge is not assumed. You should have basic computer skills, including at least moderate Excel proficiency. What You Will Learn Create a worksheet that can display the current balance for any given period in time Recreate a star schema from in a data warehouse in Tableau Combine level of detail calculations with table calculations, sets, and parameters Create custom polygons to build filled maps for area codes in the USA Visualize data using a set of analytical and advanced charting techniques Know when to use Tableau instead of PowerPoint Build a dashboard and export it to PowerPoint In Detail Tableau has emerged as one of the most popular Business Intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. This book will empower you to become a master in Tableau by exploiting the many new features introduced in Tableau 10.0. You will embark on this exciting journey by getting to know the valuable methods of utilizing advanced calculations to solve complex problems. These techniques include creative use of different types of calculations such as row-level, aggregate-level, and more. You will discover how almost any data visualization challenge can be met in Tableau by getting a proper understanding of the tool's inner workings and creatively exploring possibilities. You'll be armed with an arsenal of advanced chart types and techniques to enable you to efficiently and engagingly present information to a variety of audiences through the use of clear, efficient, and engaging dashboards. Explanations and examples of efficient and inefficient visualization techniques, well-designed and poorly designed dashboards, and compromise options when Tableau consumers will not embrace data visualization will build on your understanding of Tableau and how to use it efficiently. By the end of the book, you will be equipped with all the information you need to create effective dashboards and data visualization solutions using Tableau. Style and approach This book takes a direct approach, to systematically evolve to more involved functionalities such as advanced calculation, parameters & sets, data blending and R integration. This book will help you gain skill in building visualizations previously beyond your capacity.
The perfect guide to master your Tableau skills and become a BI expert.
Author: Marleen Meier
Publisher: Packt Publishing Ltd
The perfect guide to master your Tableau skills and become a BI expert. You will learn to build advanced dashboards and improve your storytelling to derive key business insights. An all-in-one resource to become well versed with advanced functionalities of Tableau in the business intelligence domain.
With this book, you will master the Tableau's features and offerings in various paradigms of business intelligence domain. This book is an update to our ...
Author: Marleen Meier
Publisher: Packt Publishing Ltd
Build, design and improve advanced business intelligence solutions using Tableau’s latest features, including Tableau Prep, Tableau Hyper, and Tableau Server Key Features Master new features in Tableau 2019.1 to solve real-world analytics challenges Perform Geo-Spatial Analytics, Time Series Analysis, and self-service analytics using real-life examples Build and publish dashboards and explore storytelling using Python and MATLAB integration support Book Description Tableau is one of the leading business intelligence (BI) tools used to solve BI and analytics challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. This book is also the second edition of the popular Mastering Tableau series, with new features, examples, and updated code. The book covers essential Tableau concepts and its advanced functionalities. Using Tableau Hyper and Tableau Prep, you’ll be able to handle and prepare data easily. You’ll gear up to perform complex joins, spatial joins, union, and data blending tasks using practical examples. Following this, you’ll learn how to perform data densification to make displaying granular data easier. Next, you’ll explore expert-level examples to help you with advanced calculations, mapping, and visual design using various Tableau extensions. With the help of examples, you’ll also learn about improving dashboard performance, connecting Tableau Server, and understanding data visualizations. In the final chapters, you’ll cover advanced use cases such as Self-Service Analytics, Time Series Analytics, and Geo-Spatial Analytics, and learn to connect Tableau to R, Python, and MATLAB. By the end of this book, you’ll have mastered the advanced offerings of Tableau and be able to tackle common and not-so-common challenges faced in the BI domain. What you will learn Get up to speed with various Tableau components Master data preparation techniques using Tableau Prep Discover how to use Tableau to create a PowerPoint-like presentation Understand different Tableau visualization techniques and dashboard designs Interact with the Tableau server to understand its architecture and functionalities Study advanced visualizations and dashboard creation techniques Brush up on powerful Self-Service Analytics, Time Series Analytics, and Geo-Spatial Analytics Who this book is for This book is designed for business analysts, BI 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.
With this book, you will master Tableau's features and offerings in various paradigms of the BI domain.
Author: Marleen Meier
Build, design, and improve advanced business intelligence solutions using Tableau's latest features, including Tableau Prep Builder, Tableau Hyper, and Tableau Server Key Features: Master new features in Tableau 2021 to solve real-world analytics challenges Perform geo-spatial, time series, and self-service analytics using real-life examples Build and publish dashboards and explore storytelling using Python and R integration support Book Description: Tableau is one of the leading business intelligence (BI) tools used to 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. Following this, 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 Tableau. 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 Learn: Get up to speed with various Tableau components Master data preparation techniques using Tableau Prep Builder Discover how to use Tableau to create a PowerPoint-like presentation Understand different Tableau visualization techniques and dashboard designs Interact with the Tableau server to understand its architecture and functionalities Study advanced visualizations and dashboard creation techniques Brush up on powerful self-service analytics, time series analytics, and geo-spatial analytics Who 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.
"Tableau is perfect for developing creative and powerful data visualizations for any business.
Author: Tim Messar
"Tableau is perfect for developing creative and powerful data visualizations for any business. It offers professionals looking to spot trends, outliers, and patterns an insightful, data-driven business focus that truly separates the signal from the noise. This course walks you through the fundamentals of Tableau, helping you hone your skills and master core volumes such as Working with Data in Tableau. You will immerse yourself in Tableau 10's new Data Prep features, to provide data integration success. The video will provide viewers with high-quality practical content explaining how to master advanced calculations, dashboards, and visualizations with Tableau. It will teach experienced users how to answer complex queries they've been wrestling with, while also introducing them to tricks they never knew were possible. Lastly, Advanced Interactivity brings it all together by demonstrating many ways in which users can interact with information at their fingertips."--Resource description page.
"This course will give you the tools to use Tableau to its fullest and make optimal business decisions with rich analytics.
Author: Siddharth Pawar
Category: Internet videos
"This course will give you the tools to use Tableau to its fullest and make optimal business decisions with rich analytics. If you want to be more feature-ready to use Tableau and perform effective data visualizations and analysis, then this course is for you. After taking this course, you will be confident enough to use advanced Tableau features and other tools. You will develop the skills to perform in-depth analyses for effective business decision making. Your skills will no longer be at an intermediate level; you will now be a master of data analysis using Tableau. You will be able to connect to data sources; summarize data; and create, manipulate, and share data visualizations including highlight tables, charts, scatter-plots, histograms, maps, dashboards, and more. By the end of this course, you will be able to build useful, thoughtful, and beautiful visualizations that will help you make databases and spreadsheets understandable to ordinary people."--Resource description page.
The new title of this now remediated work engenders questions about its genre: Is Paris au kaleidoscope also a modern rewriting of Mercier's Tableau de ...
Author: Anne O'Neil-Henry
Publisher: U of Nebraska Press
Mastering the Marketplace examines the origins of modern mass-media culture through developments in the new literary marketplace of nineteenth-century France and how literature itself reveals the broader social and material conditions in which it is produced. Anne O'Neil-Henry examines how French authors of the nineteenth century navigated the growing publishing and marketing industry, as well as the dramatic rise in literacy rates, libraries, reading rooms, literary journals, political newspapers, and the advent of the serial novel. O'Neil-Henry places the work of canonical author Honoré de Balzac alongside then-popular writers such as Paul de Kock and Eugène Sue, acknowledging the importance of "low" authors in the wider literary tradition. By reading literary texts alongside associated advertisements, book reviews, publication histories, sales tactics, and promotional tools, O'Neil-Henry presents a nuanced picture of the relationship between "high" and "low" literature, one in which critics and authors alike grappled with the common problem of commercial versus cultural capital. Through new literary readings and original archival research from holdings in the United States and France, O'Neil-Henry revises existing understandings of a crucial moment in the development of industrialized culture. In the process, she discloses links between this formative period and our own, in which mobile electronic devices, internet-based bookstores, and massive publishing conglomerates alter--once again--the way literature is written, sold, and read.
By connecting Tableau to a variety of databases sources, you can answer questions ... that will aid you in mastering Tableau's built-in formula language.
Author: George Peck
Publisher: McGraw Hill Professional
Gogol's play Inspector General ends with a famous silent tableau called the "mute scene." At the news of the arrival of the real inspector general, ...
Author: Anya von Bremzen
Publisher: Random House
Category: Biography & Autobiography
Born in a surreal Moscow communal apartment where eighteen families shared one kitchen, Anya von Bremzen grew up singing odes to Lenin, black-marketeering Juicy Fruit gum at school, and longing for a taste of the mythical West. It was a life by turns absurd, drab, naively joyous, melancholy and, finally, intolerable. In 1974, when Anya was ten, she and her mother fled to the USA, with no winter coats and no right of return. These days, Anya is the doyenne of high-end food writing. And yet, the flavour of Soviet kolbasa, like Proust's madeleine, transports her back to that vanished Atlantis known as the USSR . In this sweeping, tragicomic memoir, Anya recreates seven decades of the Soviet experience through cooking and food, and reconstructs a moving family history spanning three generations. Her narrative is embedded in a larger historical epic: Lenin's bloody grain requisitioning, World War II starvation, Stalin's table manners, Khrushchev's kitchen debates, Gorbachev's disastrous anti-alcohol policies and the ultimate collapse of the USSR. And all of this is bound together by Anya's sardonic wit, passionate nostalgia and piercing observations. Mastering the Art of Soviet Cooking is a book that stirs the soul as well as the senses.
There is a plethora of tools available, such as Excel, Tableau, QlikView, Spotfire, and D3 that enable diagnostic analytics. Predictive Analytics It is the ...
Author: Manohar Swamynathan
Explore fundamental to advanced Python 3 topics in six steps, all designed to make you a worthy practitioner. This updated version’s approach is based on the “six degrees of separation” theory, which states that everyone and everything is a maximum of six steps away and presents each topic in two parts: theoretical concepts and practical implementation using suitable Python 3 packages. You’ll start with the fundamentals of Python 3 programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts, such as exploratory analysis, feature dimension reduction, regressions, time series forecasting and their efficient implementation in Scikit-learn are covered as well. You’ll also learn commonly used model diagnostic and tuning techniques. These include optimal probability cutoff point for class creation, variance, bias, bagging, boosting, ensemble voting, grid search, random search, Bayesian optimization, and the noise reduction technique for IoT data. Finally, you’ll review advanced text mining techniques, recommender systems, neural networks, deep learning, reinforcement learning techniques and their implementation. All the code presented in the book will be available in the form of iPython notebooks to enable you to try out these examples and extend them to your advantage. What You'll Learn Understand machine learning development and frameworks Assess model diagnosis and tuning in machine learning Examine text mining, natuarl language processing (NLP), and recommender systems Review reinforcement learning and CNN Who This Book Is For Python developers, data engineers, and machine learning engineers looking to expand their knowledge or career into machine learning area.
He and the missus,” her gaze drifted to the appalling tableau by the bed, then jerked back to him, “they only arrived in London six months ago.
Author: Vanessa Kelly
Publisher: Kensington Publishing Corp.
She is difficult, demanding, and at times, quite fierce. And Dr. John Blackmore can't take his eyes off her. The Countess of Randolph is the most striking woman he has ever seen. . .and the most infuriating patient he has ever tended. Mired in responsibility, Bathsheba doesn't have time to convalesce in the country. She should be in London, hunting for a wealthy new lover to pay off her late husband's vast debts, not dallying with a devastatingly handsome doctor. But it is only a matter of time until the good doctor and the obstinate countess will have to contend with the sparks that fly between them. And once their bodies surrender, their hearts may follow. . . Praise for Vanessa Kelly and Sex and the Single Earl "A sensual treat!" -Anna Campbell "Successfully marrying the tart wit of a traditional Regency romance with the steamy passion of today's Regency historicals isn't easy, but Kelly proves to be more than capable." –Booklist "Guaranteed to satisfy even the most passionate romance reader." --Teresa Medeiros, New York Times bestselling author of The Devil Wears Plaid Their marriage was convenient. . . Simon St. James, fifth Earl of Trask, knows he could do worse in the marriage of convenience department. Sophie Stanton may be a bit of a social liability, with her ungovernable ways and flighty nature, but Simon has responsibilities as an earl that far outweigh happiness in the household. And as for happiness in the bedroom. . .he has to admit he sees Sophie's potential in that arena. . . Their passion was not! But Sophie isn't some bargaining chip to be traded, and she's not about to let Simon St. James tell her how to live her life--even though she has nurtured a crush on the handsome young earl for as long as she can remember. If his idea of courtship is telling her what to do, then she is not interested, or at least she is trying not to be. But when his scolding words turn to scorching kisses, suddenly Sophie starts paying attention. . . Praise for Vanessa Kelly and Mastering the Marquess "A rare gem." --Julianne MacLean, USA Today bestselling author "Fast paced and difficult to put down." --Romantic Times "A delectable treat." --Sharon Page, author of The Club Since the loss of her parents, Meredith Burnley has contented herself with a solitary life looking after her half-sister, Annabel. But Meredith's peace is shattered when her uncle schemes to marry her off to his son in order to gain her inheritance. Desperate, Meredith has only one choice: to flee with Annabel to their estranged grandparents' home. But their arrival soon reignites a family scandal--and kindles unexpected romance. . . Happily reunited with the girls, Annabel's grandmother resolves to convince her nephew, Stephen Mallory, the Marquess of Silverton, to abandon his rakish lifestyle and wed Annabel. Stephen is clearly captivated--but with the wrong sister! Determined to make Meredith his own, Stephen embarks on a seduction that will leave her with no choice but to surrender to his touch. . .
Mastering. D3.js. ISBN: 978-1-78328-627-0 Paperback: 352 pages Bring your data to life by creating and deploying complex data visualizations with D3.js 1.
Author: Joshua N. Milligan
Publisher: Packt Publishing Ltd
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.
Alexander Loth zeigt Ihnen Schritt für Schritt, wie Sie ganz einfach visuelle Analysen erstellen und so selbst komplexe Datenstrukturen verstehen sowie gewonnene Erkenntnisse effektiv kommunizieren können.
This book will guide you from the basic functionality of Tableau 2019.x to complex deployment.
Author: Dmitry Anoshin
Publisher: Packt Publishing Ltd
Perform advanced dashboard, visualization, and analytical techniques with Tableau Desktop, Tableau Prep, and Tableau Server Key Features Unique problem-solution approach to aid effective business decision-making Create interactive dashboards and implement powerful business intelligence solutions Includes best practices on using Tableau with modern cloud analytics services Book Description Tableau has been one of the most popular business intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. Tableau 2019.x Cookbook is full of useful recipes from industry experts, who will help you master Tableau skills and learn each aspect of Tableau's ecosystem. This book is enriched with features such as Tableau extracts, Tableau advanced calculations, geospatial analysis, and building dashboards. It will guide you with exciting data manipulation, storytelling, advanced filtering, expert visualization, and forecasting techniques using real-world examples. From basic functionalities of Tableau to complex deployment on Linux, you will cover it all. Moreover, you will learn advanced features of Tableau using R, Python, and various APIs. You will learn how to prepare data for analysis using the latest Tableau Prep. In the concluding chapters, you will learn how Tableau fits the modern world of analytics and works with modern data platforms such as Snowflake and Redshift. In addition, you will learn about the best practices of integrating Tableau with ETL using Matillion ETL. By the end of the book, you will be ready to tackle business intelligence challenges using Tableau's features. What you will learn Understand the basic and advanced skills of Tableau Desktop Implement best practices of visualization, dashboard, and storytelling Learn advanced analytics with the use of build in statistics Deploy the multi-node server on Linux and Windows Use Tableau with big data sources such as Hadoop, Athena, and Spectrum Cover Tableau built-in functions for forecasting using R packages Combine, shape, and clean data for analysis using Tableau Prep Extend Tableau’s functionalities with REST API and R/Python Who this book is for Tableau 2019.x Cookbook is for data analysts, data engineers, BI developers, and users who are looking for quick solutions to common and not-so-common problems faced while using Tableau products. Put each recipe into practice by bringing the latest offerings of Tableau 2019.x to solve real-world analytics and business intelligence challenges. Some understanding of BI concepts and Tableau is required.
This book is intended for anyone interested in advanced network analysis. If you wish to master the skills of analyzing and presenting network graphs effectively, then this is the book for you.
Author: Ken Cherven
Publisher: Packt Publishing Ltd
This book is intended for anyone interested in advanced network analysis. If you wish to master the skills of analyzing and presenting network graphs effectively, then this is the book for you. No coding experience is required to use this book, although some familiarity with the Gephi user interface will be helpful.