[Eoas-seminar] EOAS Colloquium Speaker Fri Oct 21

[eoas-seminar at lists.fsu.edu]

Please join us for our EOAS Colloquium Speaker, Dr. Zan Armstrong, 
Friday Oct 21 at 3pm on ZOOM:


_Guiding Principles for Data Visualization for Analysis_

In science, we create and look at charts all the time. It's the primary 
way that we interact with our data, and make sense of it. Yet, all too 
often, investing in data visualization is seen as a "nice to have", 
something to make things "prettier", or something to be done only at the 
end of the research when preparing for a presentation or publication. 
While data visualization is an important part of communicating results, 
it is a critical tool for analyzing data as well. Changing how we 
(literally) look at our data can be the difference between making a 
scientific discovery or overlooking the key insight.

One challenge is that it's not clear how to do it better. And, it can 
feel like a whole different skill set, disconnected from science, 
algorithms, or our knowledge of what's important about the data.

In this talk, Data Visualization Specialist Zan Armstrong will introduce 
3 guiding principles which will empower you to more effectively use data 
visualization/*in combination with your own domain expertise* /to better 
understand your own data. These are:

  * making the important visible
  * three simple flexible "tools": many small charts, make color
    meaningful, and order matters
  * demonstrating how you can embrace the complexity of your data rather
    than aggregate it away.

These are principles that you can put into practice today, using 
whatever software you are currently using to create charts. Be inspired 
to invest more in how you look at your data, and learn how to do it more 
effectively.

_Bio_
Zan Armstrong is a data visualization specialist with a background in 
data analysis. Through her work, she empowers people to more effectively 
use visualization to better understand whatever data is most important 
to them.

Zan's experience includes contributing to scientific discoveries as a 
member of Google Research's Applied Sciences team, tracking covid in 
wastewater for California's state and county public health officials and 
the public, creating interactive visualization tools for researchers at 
Yale, Stanford, and Berkeley,and as a data analyst forecasting revenue 
at Google. Zan's work has been published in Scientific American, and 
exhibited in the art museums SF Moma, Cooper Hewitt, and Ars 
Electronica. She has published data visualization research in IEEE 
InfoVis, and spoken at conferences including OpenVis Conf, Outlier, and 
SciPy. More at zanarmstrong.com 
<https://urldefense.com/v3/__http://zanarmstrong.com__;!!PhOWcWs!xxZlFN8DOstGNdkz-lZAjCMHYQJ-8dSC6OOMDLFN88LI3JToM1dhbsCIrJl5LaTsTOi-AvYg8c7ZQSiXDm-qMIT57g$>. 


Zoom link:

Topic: Armstrong Seminar
Time: Oct 21, 2022 03:00 PM Eastern Time (US and Canada)

Join Zoom Meeting
https://fsu.zoom.us/j/94635209136

Meeting ID: 946 3520 9136

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