Creating dashboards

1. Creating dashboards

Welcome to this course on creating dashboards in Tableau! I'm Sara and I will be your instructor for this first chapter.

2. Dashboards

Just as the dashboard of a car, provides information about the health and status of that vehicle, dashboards can accomplish the same and more for businesses. Interactive dashboards combine and present data dynamically to measure business performance and inform business strategy.

3. Dashboards

Dashboards are an important tool for creating insights. By combining worksheets in one centralized place you can show perspectives that are not visible otherwise. Tableau's dashboarding abilities allow you to do more than simply report images that describe a single view or perspective. Because of the dashboard's interactivity, you can look at intersections within the data that can yield powerful insights. A well-constructed dashboard will give stakeholders the ability to ask their own questions of the data. This is an excellent method to reduce the time to insight and empower business analysts. Dashboards can serve a variety of purposes as they provide quick visual insights. Some may be operational and tactical in their level of monitoring and detail. Others may be strategic and analytical in their design and focus.

4. Annotating dashboards

Tableau doesn't stop at interactively combining worksheets. Sometimes, you'll want to add text directly to your dashboard to draw attention to a specific insight. You can easily add text boxes to your dashboard to achieve this. Additionally, you can add annotations to a visualization to call out a specific mark, a specific point, such as a location on a map, or an area, such as a cluster of scatter marks.

5. Divvy data

As we construct Dashboards in Tableau, we will use visualizations based on the dataset from Chicago's bike sharing system, Divvy. Divvy makes the data available for the public to analyze the rides that occurred.

6. Divvy data

Each bike trip has a start and end time, along with a starting location and a finishing location. Additionally, you have information on the number of docks that are available at each station. Divvy has also shared the rider type. There are only two user types. Subscribers, riders that have an annual subscription and non-subscribers, called customers, who are often tourists or leisure riders. For subscribers, some demographics about the rider are known as well. On top of the data provided by Divvy, a number of calculated fields have been added to help gain even more insights. Time block shows the time of day a trip was taken, morning, afternoon, evening, or night. Seasons and Weekday or Weekend give additional information on the time of the trip. This course contains completed worksheets for you to use in building dashboards, allowing you to focus your attention on the dashboarding element of Tableau.

7. Let's practice!

Time to get started!

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