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Creating Dashboards and Storytelling with Tableau

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University of California, Davis

Creating Dashboards and Storytelling with Tableau

339 notes

Cours 4 sur 5 dans Specialization Data Visualization with Tableau

Leveraging the visualizations you created in the previous course, Visual Analytics with Tableau, you will create dashboards that help you identify the story within your data, and you will discover how to use Storypoints to create a powerful story to leave a lasting impression with your audience. You will balance the goals of your stakeholders with the needs of your end-users, and be able to structure and organize your story for maximum impact. Throughout the course you will apply more advanced functions within Tableau, such as hierarchies, actions and parameters to guide user interactions. For your final project, you will create a compelling narrative to be delivered in a meeting, as a static report, or in an interactive display online.

À partir de la leçon

Tell the Story of Your Data

Welcome to Module 4. Although this course focuses on Tableau, we will look at a wider range of examples and techniques to help you become a better data storyteller. By the end of this module, you should be able to leverage concepts and techniques designed to help you become a more focused and compelling storyteller with data as the foundation. We will discuss ways to avoid unintentionally creating false narratives with good data. You will also learn about what neuroscience research tells us about stories, audience engagement, and decision drivers. You will use structural story elements to help improve the relatability of the story and explore ways design and textual elements can affect the emotional tone of a story. Lastly, you will learn how to frame and format the data story based on your design checklist. Let's get started!

Tell the Story of Your Data Introduction1:37

The Art of Storytelling (Past, Present, and Future)3:27

Storytelling and the Human Brain5:28

Bringing Data to Life: Emotions and Data Storytelling7:14

Emotion Modulators: Color, Language, and Other Design Elements8:24

Framing and Format4:11

Framing, Conventions, and Priming8:12

False Narratives and Data Storytelling6:51

Telling the Stories within the Story (Part 1)5:29

Telling the Stories within the Story (Part 2)4:45

Story Considerations6:27

Preparation of the Story Points11:07

Setting Up the Story14:24

Creating Points in the Story16:18

Interactive Story6:36

Create a Data Story in a Static Presentation20:20

Rencontrer les enseignants

Govind Acharya
Principal Analyst
Budget and Institutional Analysis
Hunter Whitney
Sr. Consultant, Author, Instructor
Design Strategy and Data Visualization

[MUSIC]

Last time, we looked at the emotional impact of color and language choices.

Now, let's turn our attention back to story structure,

by focusing on framing and format.

We will deconstruct several data story examples along with the tabloid samples.

We're going to look at an iconic visualization

that has stood the test of time, and another recent data journalism piece.

The classic example is Charles Joseph Minard's depiction of

Napoleon's March into Russia,

that has been hailed by some as one of the best data visualizations ever produced.

You may already be familiar with this visualization, but

we will examine it through the lens of storytelling.

Like any great work, the depiction of the march has many levels to explore.

Including where it literally bends some rules of convention to accomplish its

purpose.

We will also look at the story done by the San Francisco Chronicle

investigating the impact of companies like Airbnb on housing costs.

After this lesson, you will be able to discuss framing and formatting.

And analyze strengths and

weaknesses in data stories based on those considerations.

Let's get started.

Hi, and welcome back.

Some of the design choices that you will need to make for

data stories are very different from visualizations created to explore data.

A data story is like a map with a predetermined route

that's clearly marked out.

While an exploratory data visualization interface

is perhaps more akin to a compass.

Helping the user to navigate through the data, but is less overtly prescriptive.

In the case of stories, the goal is to lead audiences to a particular conclusion

or set of conclusions.

In the latter case of exploration, the point is to help users arrive

at their own conclusions as quickly, easily, and accurately as possible.

Now one of the first considerations for your data story, is how many frames or

views do you want to use to map out your narrative?

It might be an all in one or single view frame, a sequence of connected views,

or perhaps it is multiple frames in one view such as a dashboard.

I'm going to present a few different examples of data stories with different

kinds of framing.

We're just going to lightly touch on each one of these to give you a sense of them.

And I would encourage you to look further in the resources in your own time.

Some of these examples will be examined in more detail in subsequent lessons as well.

Let's look at Minard's single view data story.

It's a flow map in which the thickness of the color coded

flow lines encode the number of soldiers in the campaign at any given point.

The tan color signifies the inbound march and the black represents the return trip.

You see a thick tan line starting off on the left roughly in the middle and

culminating in a much narrower black line on the lower left.

The story of the entire ill fated journey is captured in this one frame,

with the number of soldiers in the invading army and

the tremendous decrease of life from start to finish.

For data stories presented within a single frame, the visualization approach

really matters and needs to be in clear as compelling as possible,

because that's basically all you've got to work with.

By having a clear sense of the who, what, why, and how for your design checklist.

You will be better prepared to know how to optimize your design layout, number of

views, and so forth for your audience and be more efficient in your process.

We will revisit this point in the walk through at the end of the module.

In the meantime, we will look more closely at framing conventions and

priming in our next lesson.

Thanks for listening and see you again soon.

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