Thank you for sharing!😁

I think i'm going to give my format for BRX a go on the SWE-bench!

Promo-SM

🙌 *PromoSM*

Great talk

Your new book is excellent! I am really enjoying it.

19:30: The chalkboard is so great. But how to make this effective in HTML and PDF versions?

Thanks Mine and Rohan, Thats really insightful

Beautiful

Thank you Mine. Just started to use quarto. This is very helpful.

01:18 RMarkdown -> Quarto + live demo 04:16 RStudio Visual Editor -- removes some cognitive load of learning RMarkdown + coding, forward slash "/" to insert anything 05:35 Quarto can render RMarkdown even if you just change the file extension 06:10 Shared features -- output: --> format:, live rendering, citations (from DOI search!), in-line R code 12:20 Quarto specific -- YAML style chunk options (great for alt text) but mixed style works!; global chunk options in yaml header; code-link: true 16:18 Visual Editor helps with avoiding minutiae of markdown syntax -- alt-text, captions, links, tab-sets 18:13 Change output from html to reveal.js slides -- `chalkboard: true` adds annotation tool; built-in presentation tools 20:14 more Quarto features-- R and python, support in other text editors, projects 24:15 Q&A

This is dope.

Thank you Mine and Rohan for sharing the talk with us. I was intrigued by Quarto and now am off trying out all the incredibly useful new functionalities that come with it. I am also now finally convinced that I should start teaching with the use of the RStudio Visual Editor.

This is decent!!! If I was you I would employ Promo-SM!!

Great Talk, Thank you Nathan!

Great insights. Subscribed! Let us know what you think of our grad school content.

This was fantastic. Thank you, Rohan, for organizing the workshop and making this material publicly available to us. And thank you, Mine, for another insightful talk that I have learned from a lot for my own teaching.

Could an aggregate statistic (maybe proxied by age, disability rate and covid rate, and rurality vs urbanization) be used as a proxy for mail in votes as a predictor?

What about the possibility of doing a statistical test of polling efficiency, defined by a one sided t test on the sample size being 30 x 338? 30 is usually the minimum number for normal convergence of a data set, and a "historical reliability" for each polling company, how well they attempt to achieve parity between ridings. Then weigh them by their deviation from this statistic. For example, take W = mu - n*, where n* = 30 x 338, and mu as the sample size. Then W is t distributed. Then compute the statistic W/sigma_t, where sigma_t is variance by time and between ridings, with greater variances being penalized, as a measure of poll reliability, and as a weight for each poll.

Interesting to hear your second guest agrees on the value of MRP for a regional effects analysis.

Lol, the actual number of people per class is NOT an opinion.

Could not attend live, but loved this talk and its deep insights into Data Projects

for the GitHub creation, do we need to purchase a plan? when I sign up with free plan, it just keeps verifying my account...

Thanks for posting this, quite helpful. If you have time, could you answer these questions for me? If you record a session, do the students get to see the session, or is it only for the moderator/prof? Second, when you upload a text file, how can you enlarge it on your screen? I can only get about 35% of a page to appear, framed by an excessively large sea of black background.