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Transportation and Communities 2018: Academy Edition ● September 13 - 14, 2018 at Portland State University
In honor of our 10-year anniversary, we’re trying something a little different. Instead of brief sessions that introduce you to a topic– we will be offering fifteen half-day workshops that focus on skill building and providing the tools to apply the latest research to practice. These will be hands-on, immersive learning experiences in a small classroom setting. Hosted by the Transportation Research and Education Center at Portland State University. Supported by our U.S. DOT grant-funded consortium: the National Institute for Transportation and Communities (NITC).

⇨CLICK HERE TO REGISTER⇦ This event is a la carte, and pricing is per workshop. You may attend as few as one, or as many as four workshops. Questions? Contact us at asktrec@pdx.edu.  Let us know if you’re a student interested in volunteering, and we’ll be in touch later this summer.
  • Half-Day Workshop (general admission): $95
  • Half-Day Workshop (student rate / elected government officials rate): $50
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Friday, September 14 • 9:00am - 5:00pm
R for Transportation Data Science: Application and Best Practices

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*This is the only full day workshop we're offering at TCA2018 this year. The cost of this full-day workshop is $190 (general admission) and $100 (student rate).

Large transportation-related data sets are becoming increasingly available to practitioners. Newfound access to these large data sets may outstrip the ability of even savvy data analysts.  The use of R, an open source statistical computing language, can greatly improve an analyst’s productivity and increase their skill set.

R allows users to:
  • retrieve, merge, format and clean data, 
  • perform data augmentations, 
  • perform analyses, 
  • produce summary graphics, and 
  • make the process repeatable and shareable.

This workshop will showcase applications from other organizations that use R and transportation related data, highlight best practices, and provide reproducible examples for users that wish to learn and use R using PORTAL and PORTAL data. After finishing this workshop, participants will have a better understanding of the applications of using R with large unruly data. Participants should have a basic knowledge of data analysis and an interest in learning R.  

  • Participants unfamiliar with R will come away with a better understanding its applications and utility in analyzing large datasets from reproducible examples and showcase of other work products from other organizations.
  • Statistics is scary for some people but R can remove some of the barriers and make the application of advanced statistic more approachable.  Participants will have reproducible examples that demonstrate how to examine common data sets used in transportation.
  • Communicating the story is vital for good decision making.  Wrangling and analyzing data can fall short without a compelling story and the picture to help illustrate the lessons.  Participants will learn the offerings from R for visualization techniques to help make the most of the lessons they glean from their data analysis efforts. 
This full-day workshop is eligible for 7 hours of professional development credit through AICP (see our provider summary). We can provide an electronic attendance certificate for other types of certification maintenance.

avatar for Tammy Lee

Tammy Lee

Transportation Data Program Administrator, Transportation Research and Education Center (TREC) at Portland State University
Tammy Lee is the Transportation Data Program Administrator for the Transportation Research and Education Center (TREC) at Portland State University. Tammy is working on a variety of projects for TREC, including documentation, data synthesis, analysis, and visualization supporting... Read More →
avatar for Josh Roll

Josh Roll

Active and Sustainable Transportation Research Coordinator, Oregon Department of Transportation
Josh Roll is the Active and Sustainable Transportation Research Coordinator for the Oregon Department of Transportation where he coordinates and conducts research. Josh has experience in most elements of the analyses process, starting with data collection and wrangling, data processing... Read More →
avatar for Kristin Tufte

Kristin Tufte

Research Assistant Professor, Portland State University, Maseeh College of Engineering & Computer Science
Senior-level professional with 25+ years experience in data management research and implementation. Team member on the design and implementation of three novel research data management systems: Paradise, a parallel object-relational data management system sold to NCR Corporation... Read More →

Friday September 14, 2018 9:00am - 5:00pm PDT
Smith Memorial Student Union, Portland State University 1825 SW Broadway, Portland, OR 97201, USA