John is a Data Analysis Librarian/Consultant working in the Data & Visualization Services Department. I help Duke University students and researchers navigate practical data science challenges. To that end I provide a series of workshops on R and OpenRefine; offer walk-in and by-appointment consultations; and host the R we having fun yet learning series (Rfun).
My workshops and presentations include twitter stream gathering, web scraping, data parsing, and data cleaning. Each workshop is designed as a hands-on experience where you can download practice data, presentation slides, and workbook guides. Recorded video streaming is often available.
MSLS Library & Information Science, 1992
UNC Chapel Hill
BA Sociology, 1990
UNC Greensboro
Ciphers of Sybaritic Sophistry, 1900
Novel School of Fiction
Selected
Details Slides Video Project Guide / Handout DVS Description
Details Slides Video Project Guide / Handout DVS Description
Details Video Dataset Project DVS Description E-Book / Guide
DVS can help Duke Tableau Users create more effective visualizations.
The Data Science & Visualization Institute invited a presentation on web scraping and creating customized data sources
Use R to gather, analyze and visualize tweets. This presentation includes information about text mining, sentiment analysis, network graph analysis, term-document matrix, and word clouds
ggvis is a visualization R library designed to leverage the tidyverse. This presentation demonstrates basic ggvis commands and syntax, and considers whether you can learn just one: ggvis or ggplot2
Using the flexdashboards package you can easily create attractive dashboard summaries
Explore two methods of gathering real-time twitter stream data, hands-on exercises in applying for twitter API Keys and configuring a twitter-stream data gathering tool. Investigate and discuss historical twitter data gathering. Discuss considerations for analysis.
The rvest package is a handy way to scrape webpages and parse HTML
In this Hand’s on presentation given to the Research Computing Symposium (2017), participants use R to gather movie data from the OMDB API. In part 2, participants access the API of Fire and Ice.
A preview of the learning resources for an upcoming workshop; Reproducibility: Data Management, Git, & RStudio
Xarigan Slides generate slides as a report format. Now your analysis can creat slides at the push of a button.
R Markdown is the backbone of R’s dynamic documents, literate data science, and reproducibility.
New reproducibility workshop with git and RStudio coming in September 2017.
Walk-in hours, Wednesday 1PM to 3PM
or make an appointment (See )
For my in-person clients, schedule me
telephone, answering machine, email, etc.
Twitter – fallow, but it’s a way to get in touch
