Here are five things we learned at PLOTCON:

1. Good Viz Works.
2. We can try to illustrate uncertainty in the data using animation.
3. We should use perceptually uniform colormaps.
4. When to use what visualization, with examples.
5. “Tip of the iceberg” of HIPAA violations: we know about a lot less than is actually happening.

(Links are to the actual talks, highly recommended to watch at 1.5 speed: Settings –> Speed)

The complete list of talks can be found here: https://www.youtube.com/user/plotlygraph

The slides will be available on Slideshare early next week.

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Bonus takeaways from PLOTCON:

Data Management:

• How to build a modern Data Catalog: https://www.youtube.com/watch?v=eFC3k1Y95f4
  • A data catalog provides context to help data scientists and other data consumers find a relevant dataset, determine if it can be trusted, understand what it means, and utilize it to make better products and better decisions.
• A way to keep data and code together with your publication via Authorea https://youtu.be/xJLE7Mruiqg?t=1608

GIS

• MAPD: incredibly fast interactive visualizations of billions of data points in real-time via GPUs: https://youtu.be/9z-nHmEm5JE?t=898
• Visualizing the racial divide: https://youtu.be/MmdPSgzfR5Y?t=1179
  • http://vallandingham.me/racial_divide/

R

• Excellent talk about wrangling data into shape for visualization: https://www.youtube.com/watch?v=4MfUCX_KpdE
• Amazing talk by Hadley Wickham (Chief Scientist at RStudio) on conceptualizing data manipulation for analysis and visualization: https://www.youtube.com/watch?v=cU0-NrUxRw4
• Animation within R with gganimate: https://www.youtube.com/watch?v=9Y7Y1s4-VdA
• Mosaic Plots with ggmosaic: https://www.youtube.com/watch?v=TWr2JuILX74

HPC

• An interesting way to visualize performance of a program via a flame graph: https://youtu.be/0ODOZ4-U1VE?t=924 and skipping to python implementation: https://youtu.be/0ODOZ4-U1VE?t=1679

Other useful things:

• A demo of really nice features of Plotly: https://www.youtube.com/watch?v=5pjh1ThQoUs
• There’s way to put Tableau and Plotly together, although a little brute-force for now:
  • Example: http://public.tableau.com/profile/ben.jones#!/vizhome/TableauPlotlyPeaks/Globe
  • How to: https://www.youtube.com/watch?v=FyHrHxl4VbE

Researchers who rely on the Open Science Framework (OSF) to manage their project workflows, build research transparency, encourage project visibility, and collaborate with other scholars are eligible to join an enhanced OSF for Institutions at New York University.

Current users can now affiliate their OSF projects with NYU’s institutional membership,  joining the growing OSF community at the University while continuing to enjoy all the benefits and functionality of the framework. Doing so will not require changing any of of your projects, public or private.  To affiliate your existing OSF account with NYU, you will need to: 

1. Add your NetID@nyu.edu e-mail address to your profile as a primary or secondary e-mail if it isn’t one of your account e-mails currently.
2. Login via the OSF Single Sign On link
3. Go to your public project, go to the the “Settings” tab and look for “Project Affiliation/Branding” to list your project under NYU’s research page.

New users can now log in through NYU’s single sign on, using their netIDs and passwords, and have a new OSF account created. Through this partnership, users can leverage:

• Easy project management from the inception of a project to it’s publication!
• The OSF connects to many services that you might already use — Google Drive, GitHub, Zotero, etc. — so you can have all your project materials in one place!
• Benefit from easier connections to NYU resources, storage apps, and research support made available through our institutional account.
• Increase the discoverability of your research among local scholars.

For an overview of the OSF, see these materials created by Data Service’s Vicky Steeves (data management & reproducibility librarian). Any questions or for a simple walk-through of how to get started, email data.service@nyu.edu.