« Bad SQL habits | Main | Upcoming Talks #Dataviz #ABTesting »

Comments

Feed You can follow this conversation by subscribing to the comment feed for this post.

Alyssa

Sean Taylor of Facebook is here! I believe he is a discussant at a session at 8:30 on Thursday morning.

junkcharts

Alyssa: Thanks for the note. Sean and I found ourselves in the same room this morning and we chatted!

Mike Liveright

(Repeat?) I wonder if you can link to a video podcast and a transcript of the talk? I'd like to see, read it in full.

Thanks.

Jegar

Great to hear Google is using Bayesian Networks! Such a good tool for inferring missing data while making use of all available data sources.

So jealous of everyone at JSM this year- maybe I'll get to see you all there in 2015. Thanks for the updates though, this will help guide my reading for a while.

Rick Wicklin

Here is a summary of Stigler's JSM presentation, along with some of my own views

junkcharts

Thanks Rick for the link. Rick's summary is the first (and more substantial) part of Stigler's talk. My bullets above come from the second part of the talk, in which he explains how these concepts overturned heavily ingrained ideas of the time.

Also, I have added to the list of talks I attended.

David Chudzicki

Hearing "Throwing individual level data away reduces the amount of information" described as a fallacy worries me a bit. For one thing this statement is true (for any technical definition of "information), but more importantly I feel it's ignoring lots of progress in getting people to model individual-level data in hierarchical models, rather than just e.g. a regression on group means.

Throwing away data might be worthwhile for any number of reasons (e.g. computational or to make a plot more readable), but it *is* throwing away information. And if you can, it's better to build a model at the level of individual data than aggregates.

I wasn't at the talk and don't know what was said, so maybe all of this was made clear, and the "fallacy" language is just supposed to be a good sound bite.

The comments to this entry are closed.

Kaiser Fung. Business analytics and data visualization expert. Author and Speaker.
Visit my website. Follow my Twitter. See my articles at Daily Beast, 538, HBR, Wired.

See my Youtube and Flickr.
Numbers Rule Your World:
Amazon - Barnes&Noble

Numbersense:
Amazon - Barnes&Noble

Search3

  • only in Big Data

Next Events

Jan: 10 NYPL Data Science Careers Talk, New York, NY

Past Events

Aug: 15 NYPL Analytics Resume Review Workshop, New York, NY

Apr: 2 Data Visualization Seminar, Pasadena, CA

Mar: 30 ASA DataFest, New York, NY

See more here

Courses

R Fundamentals, Principal Analytics Prep

Numbersense: Statistical Reasoning in Practice, Principal Analytics Prep

Applied Analytics Frameworks & Methods, Columbia

The Art of Data Visualization, NYU

Signed copies at McNally-Jackson, NYC

Excerpts: Numbersense Ch. 1, 7, 8. NRYW

Junk Charts Blog



Link to junkcharts

Graphics design by Amanda Lee

Community