Because our tutorials are online, and because we want to reach a broader audience at NYU, we have also listed a handful of offerings at times that are well-suited for those at the NYU Abu Dhabi and NYU Shanghai campuses. The Fall 2020 NYU Go Local list of featured tutorials is as follows:

• Data Visualization with Tableau – September 15, 9pm in New York or September 16, 9am in Shanghai
• Getting Started with Python Pandas – September 16, 9pm in New York or September 17, 9am in Shanghai
• Survey Design with Qualtrics – October 6, 9pm in New York or October 7, 9am in Shanghai
• Python for Harvesting Data on the Web – October 7, 9pm in New York or October 8, 9am in Shanghai
• Data Cleaning and Management Using Python – November 11, 9pm in New York or November 12, 10am in Shanghai
• Introduction to R – October 14, 8pm in New York or October 15, 8am in Shanghai
• Using RSQLite and Shiny Applications to Solve Business Problems – November 18, 7pm in New York or November 19, 8am in Shanghai
• Extracting Geospatial Data with the OverPass API – October 20, 12am in New York, 8am in Abu Dhabi, and 12pm in Shanghai
• Introduction to QGIS – November 9, 11pm in New York, 8am in Abu Dhabi, 12pm (Nov 10) in Shanghai

These tutorials are available to anyone in the NYU community, regardless of current location. They are not recorded because we want anyone who participates to feel comfortable asking questions, sharing examples, or interacting with us as we work through the software. For any questions about registering for Data Services classes, visit the Data Services homepage or email data.services@nyu.edu

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