Copyright © 2010 SAS Institute Inc. All rights reserved. Effective Data Visualization Design for Dashboards Lisa Whitman TriUPA May 25, 2011.

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Presentation transcript:

Copyright © 2010 SAS Institute Inc. All rights reserved. Effective Data Visualization Design for Dashboards Lisa Whitman TriUPA May 25, 2011

2 Copyright © 2010, SAS Institute Inc. All rights reserved. Dashboards

3 Copyright © 2010, SAS Institute Inc. All rights reserved. Dashboards

4 Copyright © 2010, SAS Institute Inc. All rights reserved. Dashboards

5 Copyright © 2010, SAS Institute Inc. All rights reserved. How psychology affects data interpretation  Principles of psychology can be used to help you determine the best ways to present data  Understanding the audience’s expectations  Understanding the audience’s tasks and goals  Visual perception  Attention  Memory  Usability testing to reduce error

6 Copyright © 2010, SAS Institute Inc. All rights reserved. Data Drives Design  Understand the story behind your data  What story is the data telling?  What is the message that you want the data to tell?  Who is the audience, and what are their goals?  What actions will the user be able to take? »Drill-down for details »Hyperlinks to additional or relevant information »Interactivity »Quick-decision making »Communication  How will the data be presented? »Computer-based display that allows for multiple pages? Interactions and linking? Animation?

7 Copyright © 2010, SAS Institute Inc. All rights reserved. Understand your audience  Communicate with your audience.  Help them understand what you are capable of providing so they »understand how data can help them make decisions, and »know about different ways it can be presented  See things from their point of view. »What do they need to know »On a daily basis? »On a monthly basis? »Where do they go to view data? »How do they want to view the data? »With graphics? Detailed tables of numbers? »What actions will they take? Comparisons? Drill-down?

8 Copyright © 2010, SAS Institute Inc. All rights reserved. Understand your audience  Find out what they’re familiar with and what their preferences are.  Your audience may be used to visualizations that they see commonly used on shopping, stock, or news websites.

9 Copyright © 2010, SAS Institute Inc. All rights reserved. Data Drives Design  Your audience may be used to visualizations that they see every day on their desktop user interface.

10 Copyright © 2010, SAS Institute Inc. All rights reserved. Choosing the right data visualizations  Choose data visualizations that  Convey the message clearly  Are easy to interpret  Allow the user to make comparisons  Avoid needless use of space  Help the user take appropriate action  Your audience likes and can read

11 Copyright © 2010, SAS Institute Inc. All rights reserved. Convey the message clearly  Choose visualizations that clearly show the message of the data  If there are patterns, use visualizations that help the user spot the patterns  Line graph  Scatter plot  If there are comparisons, use visualizations that combine measures for quick comparison, like line graphs or bar charts.  If the message of the data is that something is wrong, use a key performance indicator, like a gauge.

12 Copyright © 2010, SAS Institute Inc. All rights reserved. Easy to interpret  Choose data visualizations that are easy to interpret  Provide easy-to-read labeling of values.  Provide legends to explain symbols and color coding.  Avoid 3D and tilting effects that make it hard to read the graph.  Choose visualizations that are familiar to your audience. »Unfamiliar and complicated graphs take longer to interpret. »Communicate with your audience - What visualizations do they come across frequently, in reports, websites, etc.? Do they have examples in mind? Which graphics do they like?

13 Copyright © 2010, SAS Institute Inc. All rights reserved. Allow the user to make comparisons  If two measures are being compared, put them in the same graph in a line chart or bar chart.  It is hard to compare measures in a pie chart or in 3D charts.  If two graphs are being compared, group them in a way that helps the user’s eye view them for comparison  Grouping »Put them in close-proximity to each other, and leave space around them »Enclose them in a border »Make them the same size and orientation  Use the same graphics and labeling

14 Copyright © 2010, SAS Institute Inc. All rights reserved. Make the most of your real estate  You want to use visualizations that avoid needless use of space  Avoid visual clutter, which distracts your user from the important information. Nothing irrelevant should be on your screen.  Be careful with large graphics that don’t convey much information. Only important data should use a lot of space. »Speedometers »Pie Charts