Milestone 4 Assignment Overview

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From the course by University of California, Davis

Data Visualization with Tableau Project

101 ratings

University of California, Davis

Data Visualization with Tableau Project

101 ratings

Course 5 of 5 in the Specialization Data Visualization with Tableau

In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. You will use all the skills taught in this Specialization to complete this project step-by-step, with guidance from your instructors along the way. You will first create a project proposal to identify your goals for the project, including the question you wish to answer or explore with data. You will then find data that will provide the information you are seeking. You will then import that data into Tableau and prepare it for analysis. Next you will create a dashboard that will allow you to explore the data in depth and identify meaningful insights. You will then give structure to your data story by writing the story arc in narrative form. Finally, you will consult your design checklist to craft the final viz or data story in Tableau. This is your opportunity to show the world what you’re capable of - so think big, and have confidence in your skills!

From the lesson

Milestone 4: Storytelling and Storyboarding

In this milestone, you will take a short but essential break from the data visualization software and begin to give structure to your data stories. You will define the basic story arc of your data story, or draft a narrative description of what your data visualization communicates. You have started that process in the previous milestones, but now we will start assembling our story using Story Points.

Milestone 4 Assignment Overview3:07

Meet the Instructors

Suk S. Brar, M.B.A.
Lead Business Consultant
Blue Shield of California
Hunter Whitney
Sr. Consultant, Author, Instructor
Design Strategy and Data Visualization

[MUSIC]

Welcome back.

In the last few modules,

you have written your project proposal using a design checklist.

You've prepped and imported your data into Tableau.

You've conducted exploratory analysis for your data and

created a dashboard that includes KPIs.

In this milestone, you'll begin to create your data stories.

You'll outline the basic arch of your story, or

draft a narrative description of what you data visualization will communicate.

You began that process in a previous milestone, but

now you will start assembling your story using Tableau.

If you're creating a single frame visualization,

consider what will be the most important elements to frame and

how you will prioritize the space you have to work with.

As Minaj showed us, a whole story can be told in a single frame vis.

You all need to determine what would be the best combination of narrative,

framing, and level of sophistication to meet the needs of your defined audience.

If you're creating a multi-frame data story, remember from the last course,

that a story is something that has three core connected elements,

the three C's; context, challenge and a conclusion.

This will be a useful framework through which to consider your narrative

structure, but there certainly others as well.

Now, you will use story points to assemble your data

using as many points as necessary to communicate the full story.

Make sure you're capturing each point and sequencing them in the correct order.

Throughout the specialization, you've seen that stories can be an incredibly powerful

tool for several reasons.

There's some evidence for

example, that stories can help people's comprehension and recall.

They can provide important context and

in certain instances, even faster empathy and emotional connection to the findings.

Of course, like any powerful tool, there are potential pros and

cons to using stories.

I've already mentioned a few pros.

The cons include distorting the data by terming meaningless patterns into

false narratives.

That is the same potential stories in a pattern of data

that leads to false interpretations and conclusions.

I encourage you to keep these pros and cons in mind when drafting your narrative.

And to strive to make your data stories as true to the data as possible.

At this stage, please,

focus on what your visualization communicates as opposed to how it looks.

You'll make your final design decisions in the last milestone.

When you're ready, you upload a link to your data story for peer review.

Okay. Let's get to it.

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