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E-raamat: Visual Analytics with Tableau [Wiley Online]

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  • Formaat: 288 pages
  • Ilmumisaeg: 31-May-2019
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 111956199X
  • ISBN-13: 9781119561996
Teised raamatud teemal:
  • Wiley Online
  • Hind: 42,29 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
Visual Analytics with TableauSuurem pilt
  • Formaat: 288 pages
  • Ilmumisaeg: 31-May-2019
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 111956199X
  • ISBN-13: 9781119561996
Teised raamatud teemal:
Wiley Online e-raamatudRohkem infot Wiley Online kohta
Raamatu kodulehekülg: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119561996

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.

About the Author vii
About the Technical Editors ix
Credits xi
Acknowledgments xiii
Foreword xxi
Nate Vogel
Foreword xxiii
Sophie Sparkes
Introduction xxv
Chapter 1 Introduction and Getting Started with Tableau
1(24)
The Advantages of a Modern Analytics Platform
2(1)
My Personal Tableau Story
3(1)
The Tableau Application Suite
4(1)
Installing Tableau Desktop
5(1)
System Requirements for Tableau Desktop
5(1)
Downloading and Installing Tableau Desktop
6(1)
Registering and Activating Tableau Desktop
6(1)
Data Preparation
6(3)
Crosstab Reports with Wide Tables
7(1)
Preparing Your Data for Analysis
8(1)
Long Tables Suitable for Analysis
8(1)
The Sample Dataset
9(4)
Finding the Dataset
9(1)
Understanding the Data
10(1)
Opening the Excel File Containing the Sample Dataset
11(2)
The Tableau Workspace
13(4)
The Menu Bar
15(1)
The Data Pane
16(1)
Working with Measures and Dimensions
17(2)
Visualizing a First Measure
17(1)
Breaking Down a Measure Based on a Dimension
17(2)
Working with Marks
19(2)
Working with Color
20(1)
Adding More Information to Tooltips
21(1)
Saving, Opening, and Sharing Your Workbooks
21(4)
Saving Workbooks
21(2)
Opening Workbooks
23(1)
Sharing Workbooks with Tableau Reader
23(2)
Chapter 2 Adding Data Sources in Tableau
25(24)
Setting Up a Data Connector
26(5)
Connecting to a File
27(1)
Connecting to a Server
28(2)
Connecting to a Cloud Service
30(1)
Selecting Data Tables
31(1)
Adding a Table to a Data Model
31(1)
Joins
31(3)
Unions
34(2)
Specific Unions (Manual)
34(1)
Wildcard Unions (Automatic)
35(1)
Data Extracts and Live Connections
36(2)
Live Connections
36(1)
Untethered with a Data Extract
37(1)
Data Protection and Data Governance
38(1)
Editing the Model's Metadata
38(2)
Data Types
40(1)
Changing a Field's Data Type
41(1)
Adding Hierarchies, Calculated Fields, and Table Calculations
41(1)
Data Collection
42(4)
Data Collection with IFTTT and Google Sheets
42(1)
Website Analysis with Google Analytics
43(3)
Checklist for Increasing Performance
46(3)
General Advice for Performance Optimization
46(1)
Performance Optimization with Files and Cloud Services
47(1)
Performance Optimization with Database Servers
48(1)
Chapter 3 Creating Data Visualizations
49(32)
Chart Types
50(2)
Ready, Set, Show Me
52(1)
How Show Me Works
52(1)
Scatter Plots
52(1)
Bar Charts, Legends, Filters, and Hierarchies
53(4)
Bar Charts
54(1)
Hierarchies
54(1)
Filters
55(2)
Line Charts
57(7)
Straight Lines
57(1)
Adjusting the Time Dimension
58(1)
Step Charts
59(1)
Jump Lines
59(2)
Continuous Date Fields
61(3)
Highlight Tables
64(3)
Step 1 Cross Tables
64(1)
Step 2 Add Color
64(2)
Step 3 Change the Mark Type
66(1)
Heatmaps
67(2)
Step 1 Build the Table
67(1)
Step 2 Choose an Interesting Color Palette
68(1)
Step 3 Change the Size of Marks
69(1)
Bullet Charts
69(4)
Step 1 Side-By-Side Bars
71(1)
Step 2 Overlay the Measures
71(2)
Cumulative Sums with Waterfall Charts
73(4)
Step 1 Sorted Bar Chart
73(1)
Step 2 Cumulative Sum and Gantt bars
74(1)
Step 3 Calculate the Step Size
75(2)
Reflection: The Anatomy of a Tableau Visualization
77(4)
Chapter 4 Aggregate Functions, Calculated Fields, and Parameters
81(24)
Aggregate Functions
82(2)
Calculated Fields
84(2)
Aggregations in Calculated Fields
86(2)
Text Operators
88(2)
Splits
88(1)
Shortening Character Strings
89(1)
Converting Between Uppercase and Lowercase
90(1)
Replacing Substrings
90(1)
Date Fields
90(4)
Date Parts
90(1)
Traditional Gregorian and ISO 8601 Calendars
91(1)
Date Calculations
92(1)
Parsing Date Parts
92(1)
Date Format Conversions
93(1)
Logical Functions in Calculated Fields
94(3)
Case Discrimination
94(1)
Case Discrimination with IF-THEN-ELSE Logic
95(1)
Case Discrimination with the IIF Function
96(1)
Working with NULL Values
97(1)
Parameters
97(1)
Creating a Parameter and Displaying the Control Element
97(1)
Parameters in Calculated Fields
98(2)
Searching Text Fields
100(5)
Chapter 5 Table Calculations and Level of Detail Calculations
105(26)
Different Types of Calculations
106(1)
Order of Processing Steps
107(1)
Quick Table Calculations
107(6)
Setting Up a Quick Table Calculation
107(3)
Duplicate as Crosstab
110(1)
Editing Table Calculations
110(3)
Customized Table Calculations
113(10)
Bump Charts
113(3)
Dual Axis Charts
116(2)
Adjustable Moving Average
118(5)
Level of Detail Expressions
123(8)
Keywords and Syntax
123(1)
Cohort Analysis
124(1)
Regional Averages
125(2)
Higher-Level Regions
127(4)
Chapter 6 Maps
131(24)
Symbol Maps
132(2)
Filled Maps
134(1)
Density Maps
134(2)
Map Layers
136(1)
Maps with Pie Charts
137(3)
Creating a Pie Chart Map
138(1)
Adding a Filter
138(1)
Dual Axis Map
139(1)
Viz in Tooltip
140(3)
Step 1 Create the Second Chart
141(1)
Step 2 Embedding the Chart in Tooltips
142(1)
Reflection: The Anatomy of a Tableau Map
143(1)
Alternative Map Services
144(1)
MapboxMaps
145(2)
Mapbox Account and Token
145(1)
Mapbox in Tableau
146(1)
Using the Background Map
146(1)
Spatial Data
147(8)
Undersea Communication Cables
148(4)
Open Data
152(3)
Chapter 7 Advanced Analytics: Trends, Forecasts, Clusters, and other Statistical Tools
155(26)
Overview of the Tableau Analytics Pane
156(1)
Constant, Average, and Reference Lines
157(1)
Trend Lines
157(5)
Adding Trend Lines
158(2)
Trend Line Options
160(1)
Line and Trend Model Description
161(1)
Forecasts
162(4)
Adding a Forecast Line to the View
162(1)
Forecast Settings
162(2)
Model Description
164(2)
Cluster Analysis
166(2)
Clustering in Tableau
166(1)
Saving and Working with Clustering Results
167(1)
Python, R, and MATLAB Integration
168(13)
Getting Started with Python and TabPy
169(1)
Connecting Tableau with TabPy
170(2)
Python Scripts in Calculated Fields
172(1)
Trellis Chart with Python Script
173(1)
R Integration
174(1)
Security
175(1)
Example: Local Regression with R
175(3)
MATLAB Integration
178(3)
Chapter 8 Interactive Dashboards
181(24)
Preliminary Considerations
182(1)
Creating a New Dashboard
183(1)
The Dashboard Pane
184(1)
Placing Charts on the Dashboard
185(2)
Dashboard Titles
187(1)
Navigation Buttons
188(3)
Dashboard Actions
191(8)
Filter Actions
191(2)
Adding and Editing Filter and Highlight Actions
193(2)
Adding Web Content via URL Actions
195(3)
Email Notifications via URL Actions
198(1)
Dashboard Starters: Templates for Cloud Data
199(2)
Dashboard Best Practices and Inspiration
201(4)
Design Tips for Creating a Dashboard
201(1)
Tableau Public: A Gallery of Inspiration
202(3)
Chapter 9 Sharing Insights with Colleagues and the World
205(16)
Preliminary Considerations
206(1)
Tableau Online and Tableau Server
207(6)
Publishing
207(4)
Ask Data
211(1)
Tableau Mobile
212(1)
Tableau Public
213(3)
Publishing to Tableau Public
214(2)
Your Tableau Public Profile
216(1)
Web Embedding
216(5)
Chapter 10 Data Preparation with Tableau Prep
221(24)
Connecting to Data
222(4)
Wildcard Unions
226(2)
Additional Connections
228(1)
Inspecting the Data
229(1)
Removing Unneeded Fields
230(1)
Data Cleaning and Formatting
231(6)
Cleaning Steps and the Profile Pane
231(2)
Calculated Fields
233(2)
Built-in Cleaning Features
235(1)
Renaming Cleaning Steps
235(2)
Unions
237(1)
Joins
238(4)
Splits
239(1)
Grouping
240(1)
Joining
240(2)
Running the Flow and Outputting the Data
242(2)
Saving Flows
244(1)
Index 245
Alexander Loth is a data scientist with over 10 years' experience in the Enterprise software space, focused primarily on Digital Transformation, Big Data, Machine Learning, and Business Analytics. Since 2015 he has been with Tableau Software as Digital Strategist in Frankfurt, Germany where he guides organizations to evolve their data-driven culture. Prior to Tableau, Alexander was a Data Scientist at CERN and worked as a consultant for Capgemini and in software engineering at SAP.
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