Название: Tableau Strategies: Solving Real, Practical Problems with Data Analytics (Final)
Автор: Ann Jackson, Luke Stanke
Издательство: O’Reilly Media, Inc.
Год: 2021
Страниц: 575
Язык: английский
Формат: epub
Размер: 59.9 MB
If you want to increase Tableau's value to your organization, this practical book has your back. Authors Ann Jackson and Luke Stanke guide data analysts through strategies for solving real-world analytics problems using Tableau. Starting with the basics and building toward advanced topics such as multidimensional analysis and user experience, you'll explore pragmatic and creative examples that you can apply to your own data.
Staying competitive today requires the ability to quickly analyze and visualize data and make data-driven decisions. With this guide, data practitioners and leaders alike will learn strategies for building compelling and purposeful visualizations, dashboards, and data products. Every chapter contains the why behind the solution and the technical knowledge you need to make it work.
Tableau as a visualization tool is unique. It takes an analysis-first approach by offering an open canvas where creators can start from scratch and build any chart they imagine. It also provides a fantastic toolkit to create both interactive dashboards and pixel-perfect data displays.
But since we’re all professionals here, we know the truth: it takes more than just connecting a dataset to Tableau to derive insight and value. That’s where this book comes in. Throughout these pages, you’ll find an exhaustive collection of use cases and scenarios designed to provide both contextual commentary and technical know-how. Whether you’re a data beginner (we’ve got you covered) or a seasoned Tableau professional, the chapters in this book are designed to guide you through how and why charts are made.
And one of the most exciting parts about this book? It cultivates examples from many industries and includes many types of data. We all know that both the type of data and the contents of a dataset define the direction of analysis, but often in your day job, you’re stuck with just one type. Here, you’ll be able to draw inspiration and gain practical experience working with data that you may be completely unfamiliar with.
Use this book as a high-value on-the-job reference guide to Tableau
Visualize different data types and tackle specific data challenges
Create compelling data visualizations, dashboards, and data products
Learn how to generate industry-specific analytics
Explore categorical and quantitative analysis and comparisons
Understand geospatial, dynamic, statistical, and multivariate analysis
Communicate the value of the Tableau platform to your team and to stakeholders
Who Should Read This Book:
This book is designed for anyone who is familiar with Tableau Desktop and creating charts, visualizations, and dashboards with the application. We’ve designed this book for someone who already knows how to connect to data, but is looking for inspiration and enhanced application of knowledge. If you’re a data analyst, this book will resonate with you as it provides use cases and hands-on exercises designed from our own experiences. Each strategy is framed with stakeholder questions and context, and we take you from start to finish of how to build a visualization, why to build it, and lessons along the way.
Автор: Ann Jackson, Luke Stanke
Издательство: O’Reilly Media, Inc.
Год: 2021
Страниц: 575
Язык: английский
Формат: epub
Размер: 59.9 MB
If you want to increase Tableau's value to your organization, this practical book has your back. Authors Ann Jackson and Luke Stanke guide data analysts through strategies for solving real-world analytics problems using Tableau. Starting with the basics and building toward advanced topics such as multidimensional analysis and user experience, you'll explore pragmatic and creative examples that you can apply to your own data.
Staying competitive today requires the ability to quickly analyze and visualize data and make data-driven decisions. With this guide, data practitioners and leaders alike will learn strategies for building compelling and purposeful visualizations, dashboards, and data products. Every chapter contains the why behind the solution and the technical knowledge you need to make it work.
Tableau as a visualization tool is unique. It takes an analysis-first approach by offering an open canvas where creators can start from scratch and build any chart they imagine. It also provides a fantastic toolkit to create both interactive dashboards and pixel-perfect data displays.
But since we’re all professionals here, we know the truth: it takes more than just connecting a dataset to Tableau to derive insight and value. That’s where this book comes in. Throughout these pages, you’ll find an exhaustive collection of use cases and scenarios designed to provide both contextual commentary and technical know-how. Whether you’re a data beginner (we’ve got you covered) or a seasoned Tableau professional, the chapters in this book are designed to guide you through how and why charts are made.
And one of the most exciting parts about this book? It cultivates examples from many industries and includes many types of data. We all know that both the type of data and the contents of a dataset define the direction of analysis, but often in your day job, you’re stuck with just one type. Here, you’ll be able to draw inspiration and gain practical experience working with data that you may be completely unfamiliar with.
Use this book as a high-value on-the-job reference guide to Tableau
Visualize different data types and tackle specific data challenges
Create compelling data visualizations, dashboards, and data products
Learn how to generate industry-specific analytics
Explore categorical and quantitative analysis and comparisons
Understand geospatial, dynamic, statistical, and multivariate analysis
Communicate the value of the Tableau platform to your team and to stakeholders
Who Should Read This Book:
This book is designed for anyone who is familiar with Tableau Desktop and creating charts, visualizations, and dashboards with the application. We’ve designed this book for someone who already knows how to connect to data, but is looking for inspiration and enhanced application of knowledge. If you’re a data analyst, this book will resonate with you as it provides use cases and hands-on exercises designed from our own experiences. Each strategy is framed with stakeholder questions and context, and we take you from start to finish of how to build a visualization, why to build it, and lessons along the way.
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