Skip to content
  • Twitter
  • Facebook
  • Instagram
  • Email
Storybench
  • About
    • Meet the Team
    • Newsletter
  • Articles
    • Behind the scenes
    • Insights
    • Research
    • Interviews
    • Longform
    • Roundups
    • For Educators
  • Tutorials
  • Projects
    • NICAR 2022
    • Reinventing TV
    • Data Journalism in R
    • Climate Journalism Lab
    • 2020 Election Tracker

Author: Peter Spangler

Peter is an entrepreneurial minded data scientist whose expertise in building analytic solutions and insights to tell data driven stories have impacted organizations including Alibaba, Citrix and Lyft. Peter has lead experimentation design and analytics projects focused on retention, user acquisition and channel optimization in the SaaS and rideshare spaces. The solutions he has produced include incrementality testing, segmentation, ML models and fraud. Peter is a passionate advocate for building analytics teams in cross-functional environments.

How to model with gradient boosting machine in R

The tutorial is part 2 of our #tidytuesday post from last week, which explored bike rental data from Washington, D.C. Check it out here. The following tutorial will use a […]

April 9, 2019April 10, 2019 Peter Spangler Data Journalism in R, How to

Exploring bike rental behavior using R

Bikes have become one of the fastest growing modes of city travel which is why it’s no surprise that Lyft and Uber are getting into the two-wheeler game. Lyft’s recent […]

April 2, 2019April 10, 2019 Peter Spangler Data Journalism in R, How to
Join us

Want to write for Storybench and probe the frontiers of media innovation? Apply for one of our graduate programs at Northeastern University’s School of Journalism.

Rolling admissions, no GREs required and financial aid available. Email here.

Get the latest from Storybench

Keep up with tutorials, behind-the-scenes interviews and more.


Proudly powered by WordPress | Theme: NewsAnchor by aThemes.