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Mastering Tableau 2023 - Fourth Edition

You're reading from Mastering Tableau 2023 - Fourth Edition

Product type Book

Published in Aug 2023

Publisher Packt

ISBN-13 9781803233765

Pages 684 pages

Edition 4th Edition

Languages

Concepts

Business Intelligence

Author (1):

Marleen Meier

Table of Contents (19) Chapters

Preface

1. Reviewing the Basics

2. Getting Your Data Ready

3. Using Tableau Prep Builder

4. Learning about Joins, Blends, and Data Structures

5. Introducing Table Calculations

6. Utilizing OData, Data Densification, Big Data, and Google BigQuery

7. Practicing Level of Detail Calculations

8. Going Beyond the Basics

9. Working with Maps

10. Presenting with Tableau

11. Designing Dashboards and Best Practices for Visualizations

12. Leveraging Advanced Analytics

13. Improving Performance

14. Exploring Tableau Server and Tableau Cloud

15. Integrating Programming Languages

16. Developing Data Governance Practices

17. Other Books You May Enjoy

18. Index

Summary

In this chapter, we explored the fascinating world of advanced self-service analytics. We began by understanding the concept of self-service analytics as a form of business intelligence, empowering individuals to directly query datasets and unlock valuable insights. Throughout our journey, we uncovered three captivating use cases that showcased the power of self-service analytics. We unraveled the intricate correlations between world indices, gaining a deeper understanding of global market dynamics. We then delved into the realm of Chicago traffic violations, using geo-spatial analytics to uncover patterns and potential areas for improvement. Lastly, we extended our geo-spatial analysis, utilizing distance measures to determine the optimal radius for housing locations based on key variables.

Amidst these diverse scenarios, one key lesson resonated throughout: a well-structured approach is paramount when embarking on a self-service analytics project. By carefully planning...

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Authors (1)

Marleen Meier

Marleen Meier is an accomplished analyst and author with a passion for statistics and data. By using traditional methodologies and approaches such as Machine Learning and AI, Marleen is dedicated to driving meaningful insights. Currently working as the APAC Data CoE Lead for ABN AMRO Clearing, Marleen is at the forefront of innovation and implementing data-driven strategies in a global financial environment. She has lived and worked in multiple countries, including Germany, the Netherlands, the USA, and Singapore, allowing her to bring a diverse and global perspective to her work. Through her writing and speaking engagements, she aims to empower individuals and organizations to unlock the full potential of their data assets.

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