Marc Dotson's repositories
counting-cockroaches
Using social media to assess the severity of service failures.
occasional-divergences
Two brothers with a mostly Bayesian focus.
ra-training
Training resources for research assistants.
category-captainship
An empirical generalization of the category captainship paper.
conjoint-ensembles
Using clever randomization and ensembling strategies to accommodate multiple data pathologies in conjoint studies.
earnings-calls
Exploration of relationships between marketing and valence term use and quarterly firm performance.
modeling-heterogeneity
Exploring covariates and models for preference heterogeneity.
applied-ml
Code and Resources for "Applied Machine Learning"
awesome-public-datasets
A topic-centric list of HQ open datasets.
bayes_mktg
Bayesian quant marketing code library
build-tidy-tools
Materials for the Building Tidy Tools workshop at rstudio::conf 2020
causal_inference_r_workshop
Causal Inference in R Workshop
design-ds-classroom
Materials for the Designing the Data Science Classroom workshop at rstudio::conf 2020
dl-keras-tf
rstudio::conf(2020) deep learning workshop
flexdashboard
Repo for Collaborating and Working on flexdashboard walkthru
intro-to-ml-tidy
Intro to Machine Learning with the Tidyverse
intro_bayesian_causal
Repository for Introduction to Bayesian Estimation of Causal Effects
rmarkdown-dashboard
The R Markdown and Interactive Dashboards Workshp at rstudio::conf 2020
rstudio-conf
Materials for rstudio::conf
stat_rethinking_2020
Statistical Rethinking Course Winter 2020/2021
stats-illustrations
R & stats illustrations by @allison_horst
text-mining
Text Mining with Tidy Data Principles ✨ 📖✨
who-cares-about-crackdown
📊 📄 Suparna Chaudhry, Marc Dotson, and Andrew Heiss, "Who Cares About Crackdowns? Exploring the Role of Trust in Individual Philanthropy"