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Series
A series of posts that are heavily related to the R language.
During the Call for Proposal (CFP) period, the Quant UX Conference committee tracked submissions to see how the 2024 submissions were progressing, vs. 2023 data. On the committee, we wanted to know at any given time: "How are we doing? How many total...
In Part 1 of this two-part post, I reviewed how to analyze counts (frequencies) in R. Part 1 explained how counts follow a (roughly) log-normal distribution and showed how to do Poisson regression for counts data in R. In this post, I apply the same ...
Previously, Part 1 of this post demonstrated how to score open-end text comments on 10 emotional dimensions in R. Such multidimensional sentiment analysis (MDSA) is a scalable, automated way to reveal much more than common unidimensional sentiment an...
The New York Times yesterday (Nov 2, 2023) had a story and podcast about the "only [US county] that has voted for the winner of the [US] presidential race every year since 1980." They write: "Prediction," you say? That will awaken any quant! Also, i...
For the Quant UX book, Kerry Rodden and I considered writing a chapter on sentiment analysis. Ultimately we decided against it. The topic was too complex and needs almost an entire book in itself. We realized that an introductory chapter would need t...
Try MaxDiff for yourself with 10 lines of R code
