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 recipes 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, visualize, 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.
- Visualize different data types and tackle specific data challenges
- Create compelling data visualizations, dashboards, and data products
- Learn how to generate industry-specific analytics
- Use this book as a high-value on-the-job reference guide to Tableau
- Explore categorical and quantitative analysis and comparisons
- Understand geospatial, dynamic, and statistical and multivariate analysis
- Communicate the value of the Tableau platform to your team and to stakeholders
Publisher resources
Table of contents
-
1.
Categorical Analysis
- What You’ll Learn in This Chapter
-
Bar Charts
- Bank Case Study: Visualizing consumer transaction data with a bar chart
- Blueprint: Building a bar chart in in Tableau:
- Blueprint: Creating a Top N Bar Chart:
- Blueprint: Dynamically group other dimensions in a bar chart
- Blueprint: Enhancing your bar chart with color:
- Blueprint: Creating a bar-on-bar chart
- Treemaps
- Blueprint: Creating a basic treemap
- Blueprint: Creating drillable treemaps
- Blueprint: Encoding a continuous measure with color
- Pie and Donut Charts
- Blueprint: Building a pie chart:
- Blueprint: Building a donut chart:
- Blueprint: Using a donut chart as an interactive filter
- Conclusion
-
2.
Quantitative Analysis
- What You’ll Learn in This Chapter
- What You’ll Need
-
Histograms
- Office-Supply Store Case Study: Analyzing Consumer Behavior with Histograms
- Blueprint: Making a simple histogram of purchasing behavior
- Blueprint: Creating a histogram with a continuous bin
- Blueprint: Using level of detail expressions in histograms
- Dot Plots
- Blueprint: Creating a basic dot plot
- Jitterplots
- Blueprint: Creating a jitterplot
- Ranged Dot Plots
- Blueprint: Creating a ranged dot plot
- Blueprint: Creating a ranged dot plot using the median and leveraged percentiles
- Box Plots
- Blueprint: Creating a basic box plot
- Blueprint: Customizing a box plot for presentation
- Blueprint: Combining a box plot and histogram
- Line Charts
- Blueprint: Adding reference distributions to a line chart
- Blueprint: Adding a standard deviation to a line chart
- Blueprint: Building a line chart using reference distributions as an alerting tactic
- Blueprint: Assigning summary statistical value to data points
- Pareto Charts
- Blueprint: Using Pareto charts to show categorical data
- Conclusion
-
3.
Comparisons
- What you’ll learn in this chapter
- What you’ll need
-
Bar Charts and Alternatives
- Nonprofit Case Study: Comparing Grant Sizes
- Blueprint: Draw comparisons with a basic bar chart
- Blueprint: Converting a vertical bar chart to horizontal
- Blueprint: Creating a lollipop chart
- Nonprofit Case Study: The Cleveland Dot Plot
- Blueprint: Creating a Basic Cleveland Dot Plot
- Nonprofit Case Study: Showing Changes in Rank with a Bar Chart
- Blueprint: Showing rank and change of rank on a bar chart
- Bump Charts
- Barbell Charts
- Trellis Charts
- Parallel Coordinates Plots
- Conclusion
- 4. Working with Time
Product information
- Title: Tableau Strategies
- Author(s):
- Release date: May 2021
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781492080084
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