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Telling the Stories within the Story (Part 2)

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Creating Dashboards and Storytelling with Tableau

Université de Californie à Davis

4.6 (564 évaluations) | 18K étudiants inscrits

Cours 4 de 5 dans Data Visualization with Tableau Spécialisation

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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.

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Compétences que vous apprendrez

Storyboarding, Tableau Software, Data Virtualization, Data Visualization (DataViz)

Avis

4.6 (564 évaluations)

5 stars
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RM

Apr 23, 2018

Its a good Course to get understanding regarding Tableau Story telling ,This course covers start to end aspects of story telling with Tableau.Its a very good course to move forward in Tableau

MM

May 24, 2018

Great course with amazing teachers and material! I especially liked the amount of technical tutorials that are given in this course. I would recommend this to anyone starting out in Tableau.

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

Enseigné par

Govind Acharya
Principal Analyst
Hunter Whitney
Sr. Consultant, Author, Instructor

Essayer le cours pour Gratuit USD

Transcription

[MUSIC] Now let's think about the vehicle that you use for delivering your story. And how that will affect design consideration such as layout of the content. As well as how the narrative thread may be need to be woven in different ways. Let me show you what I mean. Let's take a look at a draft version of our story, as presented in three Tableau story points. In this example, the scenario would have someone verbally describing and elaborating on each of the story points. So the presentation does not have to necessarily stand alone. And include all the required explanation that say, a single view infographic might need. So let's look at our three Cs in these story points. For the context setting portion of the story, we use the original vis to provide the focus. For the challenge portion of the story, we are essentially asking whether there is another way to look at the data. And what that says about growth groups in the original vis. Our chart suggests that perhaps there are other ways to view these companies. As a conclusion, we note that the rocket ships may be fun and exciting. But that they may not be the best vehicle for long-term sustained, bottom line success. The sequence of the three Cs is done in Tableau with story points. Which have some advantages for requirements, such as rapidly making up dates to the graphs, and having them reflected in the presentation. That might be useful for rapidly prototyping your data story and doing iterations. Of course, the charts can also be exported from Tableau and used in presentations software, such as Keynote or PowerPoint, if that kind of control over the content by those tools suits her needs better. Now let's take a look at a mock-up with a single view infographic. That's going to be on a business publication's website. In this case, we use the original vis, our new chart, and some color-coded descriptive text that allows us to call out what to notice for comparison between the two charts. In some respects that descriptive text fills the role of a narrator for the story. Now, if we wanted a story version of this for a mobile phone screen, then we'd probably employ a vertically stacked setup for the mock-up. As in this example to the right. Notice, here's the original view that we're looking at of the single view info vis. And here on the right is the potential mobile version in a mock-up form. And we can take a little closer look at that. I'll scroll through. Now, you may notice some unfamiliar words in the text box here. I'd like to just make a quick note about that. It's called Greeked text, although the language commonly used for this purpose is, in fact, Latin. The idea is to use an unfamiliar set of words, so that the proposed volume and placement of texts can be positioned without requiring the text to be finalized just yet. It can also help focus a person on the overall design, rather than diving into particular wording choices. As a next step for this mock-up version, we consider writing some copy to go with this visual. A next step for this mock-up version would also be to write some copy and to weave it in to the charts and images that we've positioned in this mock-up. Well, that wraps up our walk-through of a mini data story telling process. I hope you found this interesting, and that you can apply some ideas here to your own work. There's so much more to this topic. And this, by no means, is the end of the story. Thank you for listening.

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