Book description
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.
- 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
Publisher resources
Table of contents
- Preface
- 1. Categorical Analysis
-
2. Quantitative Analysis
- Histograms: Office Essentials Case Study
- Dot Plots and Jitterplots: Office Essentials Case Study
- Ranged Dot Plots: Office Essentials Case Study
- Box Plots: Spear-Tukey Shipping Case Study
- Line Charts: Office Essentials Case Study
- Calculated Dimensions Based on Statistics: Banco de Tableau Case Study
- Pareto Charts: Amplify Performance (AP) Case Study
- Conclusion
-
3. Making Comparisons
- Bar Charts and Alternatives: Amplify Performance Case Study
- Bar Charts for Rank Changes: AP Case Study
- Bump Charts for Rank Changes over Multiple Periods: AP Case Study
- Barbell Plots for Hierarchical Data: Office Essentials Case Study
- Trellis Charts/Small Multiples: Office Essentials Case Study
- Parallel Coordinates Plots for Multiple Measures: OE Case Study
- Conclusion
-
4. Working with Time
- Understanding Dates and Time
- Date Hierarchies and Custom Dates
- Call Frequency: Chips and Bolts Call Center Case Study
- Heatmaps (Highlight Tables)
- Comparing Values Year-to-Date: CaB Call Center Case Study
- Automated Reports
- Automating Reports for Month-over-Month and Year-over-Year Change: CaB Call Center Case Study
- Nonstandard Calendars
- Visualizing the 4-5-4 Calendar: Office Essentials Case Study
- Conclusion
- 5. Key Performance Indicators
- 6. Building Impactful Tables
-
7. Working with Geospatial Data
- Choropleth (Filled) Maps
- Displaying Customer Penetration with Choropleth Maps: Office Essentials Case Study
- Symbol Maps
- Using Symbol Maps to Show Profitability and Channel Distribution: OE Case Study
- Tile Maps (Cartograms)
- Showing Education Level with a Tile Map: Aloft Educational Services Case Study
- Built-in Features and Functions
-
Using Built-in Features and Functions with Marketing Data: SAGE Digital Marketing Case Study
- Strategy: Build Custom Polygons Using Groups
- Strategy: Build Custom Polygons Using Underlying Geographic Data
- Strategy: Use the Distance Function to Show Zip Codes’ Distance from a Central Location
- Strategy: Use the Buffer Function to Map a Trade Area Using Radial Distance
- Strategy: Create Paths Between a Starting Point and Destinations with MakePoint and MakeLine
- Conclusion
-
8. Advanced Mathematical Concepts
- Forecasting
- Using Forecasting to Predict Staffing Needs: CaB Call Center Case Study
- Relationships Between Two Numerical Values
- Using Scatter Plots to See Relationships Between Spend and Conversions: SAGE Digital Marketing Case Study
- Cluster Analysis
- Creating Segmentation Among Employees to Assess Differences in Attrition: Banco de Tableau Case Study
- Alternative Axis and Many Multiples
- Tracking Positive Cases of COVID-19 Globally: Logistics Case Study
- Advanced Modeling Using Statistical Add-Ons
- Using Python Analytics Extension for Web Page A/B Testing: Squeaks Pet Supply Case Study
- Sentiment Analysis on Customer Reviews: Amazing Products Case Study
- Conclusion
-
9. Constructing Dynamic Analyses
- Parameters
- Using Parameters to Change Measures and Dimensions: Office Essentials Case Study
- Using Parameters to Set Time Periods and Date Aggregations in Line Charts: Office Essentials Case Study
- Using Parameter Actions to Change Trended Metrics: SAGE Digital Marketing Case Study
- Using Parameter Actions to View Daily and 7-Day Average Value: SAGE Digital Marketing Case Study
- Sets and Set Actions
- Using Set Actions to Drill Down and Filter Data: Digital Marketing Case Study
- Animation
- Competitor Analysis Study: Using Animations to Compare Ranking Performance
- Conclusion
- 10. Advanced Data Modeling
-
11. Advanced Interactivity
- Sheet Swapping with Parameters and Parameter Actions: Superstore Case Study
- Using Parameters and Parameter Actions to Create Multiple Select Parameters: Superstore Case Study
- Swapping Metrics Using Parameter Actions: Office Essentials Case Study
- Adding Pagination to Tables with Parameters, Parameter Actions: Superstore Case Study
- Creating Dynamic, Single-Click Drill-Throughs: Superstore Case Study
- Conclusion
- Further Reading
- 12. Building Dashboards and Data Products
- 13. The Broader Tableau Ecosystem
- 14. Industry Frameworks
- Index
Product information
- Title: Tableau Strategies
- Author(s):
- Release date: August 2021
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781492080084
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