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E-raamat: Tableau for Business Users: Learn to Automate and Simplify Dashboards for Better Decision Making

  • Formaat: PDF+DRM
  • Ilmumisaeg: 26-Nov-2021
  • Kirjastus: APress
  • Keel: eng
  • ISBN-13: 9781484277867
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Tableau for Business Users: Learn to Automate and Simplify Dashboards for Better Decision MakingSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 26-Nov-2021
  • Kirjastus: APress
  • Keel: eng
  • ISBN-13: 9781484277867
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Learn Tableau by working through concrete examples and issues that you are likely to face in your day-to-day work.





Author Shankar Arul starts by teaching you the fundamentals of data analytics before moving on to the core concepts of Tableau. You will learn how to create calculated fields, and about the currently available calculation functionalities in Tableau, including Basic Expressions, Level of Detail (LOD) Expressions, and Table Calculations. As the book progresses, youll be walked through comparisons and trend calculations using tables. A concluding chapter on dashboarding will show you how to build actionable dashboards to communicate analysis and visualizations. Youll also see how Tableau can complement and communicate with Excel.





After completing this book, you will be ready to tackle the challenges of data analytics using Tableau without getting bogged down by the technicalities of the tool.





What Will You Learn









Master the core concepts of Tableau Automate and simplify dashboards to help business users Understand the basics of data visualization techniques Leverage powerful features such as parameters, table calculations, level of detail expressions, and more 

Who is This book For





Business analysts, data analysts, as well as financial analysts.
About the Author vii
About the Technical Reviewer ix
Testimonial xi
Acknowledgments xiii
Introduction xv
Chapter 1 Why Visualize Data? 1(6)
1.1 Who This Book Is For
4(1)
1.2 How Is This Book Different?
4(1)
1.3 How to Contact Us
5(1)
1.4 Summary
5(2)
Chapter 2 Installation and Setup 7(4)
2.1 Data Sources Required for the Exercises in the Book
10(1)
2.2 Summary
10(1)
Chapter 3 Fundamentals of Data 11(14)
3.1 Data Sources
14(3)
3.2 Data Preparation
17(4)
3.3 Converting Business Questions to the Language of Data
21(2)
3.4 Summary
23(2)
Chapter 4 The Crux of Tableau 25(26)
4.1 Dimensions, Measures, and Aggregations
25(3)
4.2 Columns and Rows Shelves
28(3)
4.3 Marks Card
31(11)
4.3.1 Color Block
32(3)
4.3.2 Size Block
35(2)
4.3.3 Label Block
37(1)
4.3.4 Detail Block
38(2)
4.3.5 Tooltip Block
40(1)
4.3.6 Angle and Path Blocks
41(1)
4.4 Filters
42(4)
4.5 Putting It All Together
46(1)
4.6 Show Me
47(1)
4.7 Sheets, Dashboards and Stories
48(2)
4.8 Summary
50(1)
Chapter 5 Calculations 51(24)
5.1 Calculated Fields
55(2)
5.2 Row Level, Aggregation, and Disaggregation
57(2)
5.3 Bringing in More Data
59(7)
5.3.1 From Excel/CSV
59(6)
5.3.2 From MySQL
65(1)
5.4 The Importance of Cardinality: A Practical Example
66(4)
5.5 Data Modeling
70(4)
5.6 Summary
74(1)
Chapter 6 Tables and Table Calculations 75(24)
6.1 Table Totals
78(1)
6.2 Table Calculations
79(14)
6.2.1 Table and Pane Down and Across
80(4)
6.2.2 Down Then Across and Across Then Down
84(2)
6.2.3 Shortcut to Reading Table Calculations in English
86(3)
6.2.4 Formulation of Table Calculations
89(1)
6.2.5 Comparing YoY, WoW, and MoM
90(3)
6.3 Sorting
93(4)
6.3.1 Nested Sort
94(1)
6.3.2 Rank Sort
95(1)
6.3.3 Sorting in Blended Data
96(1)
6.4 Summary
97(2)
Chapter 7 Advanced Tips 99(26)
7.1 Dynamic Inputs Parameters
99(2)
7.2 Top 10/20/50 Filters
101(4)
7.3 Dual Axis
105(1)
7.4 Shapes and Icons
106(3)
7.5 Level of Detail (LOD) Calculations
109(9)
7.5.1 FIXED LOD
109(4)
7.5.2 INCLUDE LOD
113(2)
7.5.3 EXCLUDE LOD
115(3)
7.6 Reference Lines and Forecasts
118(4)
7.6.1 Reference Lines Using Parameters
118(2)
7.6.2 Reference Lines Using Secondary Data
120(1)
7.6.3 Forecast and Trend Lines
121(1)
7.7 Order of Operations
122(2)
7.8 Summary
124(1)
Chapter 8 Dashboards 125(14)
8.1 Dashboards: A 10,000 ft View
125(4)
8.2 Fit and Layout
129(1)
8.3 Filters and Interactions
130(7)
8.3.1 Customizing Filters
131(2)
8.3.2 Discrete vs. Continuous Filters
133(1)
8.3.3 Filter Domain
134(3)
8.4 Summary
137(2)
Index 139
Shankar Arul holds a Masters in industrial engineering from Virginia Tech, USA and an MBA in Finance from ESSEC, France. He has more than 15 years of hands-on experience in the field of Data Visualization and data science. Having faced the frustrations of Business users in data-driven decision making, in companies such as BNP, Apple, Groupon and Kering, he decided to enable the Business users with the power of data visualization and Tableau through this book.
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