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The "Who, What, and How" of Data Visualization

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Fundamentals of Visualization with Tableau

カリフォルニア大学デービス校（University of California, Davis）

4.5 (3,023 件の評価) | 68K在籍する学生

Data Visualization with Tableau 専門講座における 5 の 1 コース

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In this first course of the specialization, you will discover just what data visualization is, and how we can use it to better see and understand data. Using Tableau, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. This course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth. No prior technical or analytical background is required. The course will guide you through the steps necessary to create your first visualization story from the beginning based on data context, setting the stage for you to advance to the next course in the Specialization.

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学習するスキル

Tableau Software, Data Virtualization, Data Visualization (DataViz), Visualization (Computer Graphics)

レビュー

4.5 (3,023 件の評価)

5 stars
1,850 ratings
4 stars
850 ratings
3 stars
231 ratings
2 stars
53 ratings
1 star
39 ratings

MS

Oct 14, 2019

Well spoken teachers that are easy to learn from. Pull in high caliber external content. Go beyond just teaching how to use the software to train how to make a powerful presentation story.

TM

Aug 29, 2017

This course is very good intro to anyone that has never done Data Visualization. You get clear understanding of the objectives and the Fundamentals of what Data Visualization is all about.

レッスンから

Context of Data Visualization & Course Wrap-Up

Data visualization is about telling a story using data. However, before you can be successful at data visualization, you must understand the "who", "what", and "how" of data context. In this final module, you will be able to determine who your audience will be and what your relationship to them is. You will analyze a real world application of data context and be able to write out a visualization story based on data context.

Context of Data Visualization Overview0:44

The "Who, What, and How" of Data Visualization4:12

Illustration of the "Who, What, and How"5:32

Context of Data Visualization11:47

講師

Suk S. Brar, M.B.A.
Lead Business Consultant
Govind Acharya
Principal Analyst

無料のコースのお試し

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[MUSIC] Welcome back. In module three, Sue walked you through data preparation and importing. After those steps, how much can you tell me about the data? Do you know what the data are? How and when the data were collected? Do you know who will look at it, and what they will do with it? These are important questions to answer. In this lesson, we're going to focus on these and other questions you'll need to answer before you begin to visualize data. >> Obviously, it's good practice to be well versed with the data you are working on. But for visualizing your data, it's essential, since you are visualizing for an audience. You need to know that the data can show certain things and not show other things. Prepping your data isn't a direct way to understand your data, but it will help a lot, even if you can make the most beautiful visualizations, they mean absolutely nothing unless you can explain why you visualized the data in the way that you did. Data visualizations are a way to explain your data, but you can't just start doing it until you understand the context of what you need to show. Furthermore, poorly designed data visualizations can absolutely ruin what you're trying to convey. The first thing you need to ask yourself is, what's the audience? It is your boss or a colleague? Is it a committee? And if it is a committee, what kind of a committee? Is it a big group? Is it for hundreds of people? Having defined the decision maker or your audience, you need to think about your relationship with the audience. If the audience or decision maker is your boss, then you need to know what her expectations are for the visualizations. Are they a series of iterative drafts? Or is it a final document? If the audience is a committee, the questions you have to ask yourself is, are you a member of this committee, or are you a guest? These basic questions are by no means comprehensive, but I want you to start thinking about this in your work. There are two components to the what of contextualizing your data visualization. The first is, what do you need your audience, boss, or committee to do? This is tough for a lot of people. We might think that the audience knows better, but they only know as much as you tell them. Most on a committee may make a lot of decisions, but they're trying to make these decisions based on the data you and others provide. If you provide unbiased information and state your recommendation, you'll be surprised at how often your recommendation is heeded. Your recommendation must be based on data, however. The second is, how you will communicate this need to your audience. This is often decided for you depending on the who. If it's a large group, then you'll have a lot of control over the presentation, but you can't offer a lot of detail. But if it's all in a written document or email, then you should provide a lot of detail, but the audience, the people who receive the email, control how they use the information. Finally, after we know the audience and what we need them to do, we can ask ourselves, how this will happen? In other words, what data are available to support the story we are going to tell? Once you have that, then it's time to visualize it. In the next lesson, we'll work through a specific example of the who, what, and how. See you there.

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