Hi! I'm Daniel, a senior Stats/CS student at Amherst College (expected graduation date: May 2021). This is a quick GitHub-hosted website, which I'm using to share data sciencey stuff.
Main website: here
Last updated: October 2020
Election Contributions 2010-2016 (2018) kernel: Kaggle kernel on FEC contributions
Drug References in Songs (2018) kernel: Kaggle kernel on a lyrics dataset of top100 songs 1965-2015
Teaching Statistics at Google Scale (April 2018) presentation: given in STAT370: Theoretical Statistics to explain the eponymous paper Chamandy et al. (2015) in 5 minutes
ICO visualization (January 2018) shiny: app for visual exploration of some features of all ICOs as of 25.1.18 that had raised more than $10MM
Twitter personality (2017) shiny: Shiny app built in STAT231: Data Science, that visualizes the features of an existing dataset (n=3000) with matched personality scores and Twitter usage stats, and tries to predict the type of a new Twitter user via KNN-defined types using KNN-matching, technical appendix
How to painlessly create RMarkdown sites like this here