John R Little

Data Janitor

Duke University Libraries

Biography

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.

Interests

Data Science
Data: Cleaning, Engineering, Analysis
Reproducibility
Tidyverse / R / RStudio / git

Education

MSLS Library & Information Science, 1992

UNC Chapel Hill
BA Sociology, 1990

UNC Greensboro
Ciphers of Sybaritic Sophistry, 1900

Novel School of Fiction

Workshops

Selected

Introduction to R: Data Transformations, Analysis, and Data Structures

Modern R using the tidyverse method

Joel Herndon, John Little

Details Slides Video Dataset Registration Learning Materials GitHub Code DVS Description

Practical Mapping in R: Lat/Lon plotting & Choropleths

Mapping in RStudio. Plot latitude and longitude. Create choropleths using leaflet, sf, tidycensus, and tmap.

John Little

Details Slides Video Dataset GitHub Code

Reproducibility: Data Management, Git, & RStudio

For practical data management, use RStudio to orchestrate your repositories and leverage Git-based version control.

John Little, Sophia Lafferty-Hess, Jen Darragh

Details Slides Video Learning Materials GitHub Code OSF Project

Recent Workshops

Introduction to R: Data Transformations, Analysis, and Data Structures
Details Slides Video Dataset Registration Learning Materials GitHub Code DVS Description
Practical Mapping in R: Lat/Lon plotting & Choropleths
Details Slides Video Dataset GitHub Code
Reproducibility: Data Management, Git, & RStudio
Details Slides Video Learning Materials GitHub Code OSF Project
Twitter Stream Gathering
Details Slides Video Project Guide / Handout DVS Description
Web Scraping
Details Slides Video Guide / Handout DVS Description
Regular Expressions (RegEx)
Details Slides Video Project Guide / Handout DVS Description
OpenRefine for non-programmers: Data Cleaning, Mining, Transformations, and Text Normalization
Details Video Dataset Project DVS Description E-Book / Guide

Presentations

Duke's Tableau Day, 2017

DVS can help Duke Tableau Users create more effective visualizations.

DSVIL 2017 - Web Scraping

The Data Science & Visualization Institute invited a presentation on web scraping and creating customized data sources

rtweet for Rfun

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

Visualizing with ggvis

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

Making Dashboards with R

Using the flexdashboards package you can easily create attractive dashboard summaries

Twitter Stream Gathering

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.

Web Scraping with R

The rvest package is a handy way to scrape webpages and parse HTML

Using R to Orchestrate APIs

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.

Recent Posts

R Learning Series - Fall 2017

Thu, Aug 24, 2017 Workshop, R R, Workshop

Announcing the Fall 2017 R Learning Series: dates, topics, registration, and access to learning materials.

Preview of Git through RStudio Workshop

Fri, Aug 18, 2017 R, Git, Data Management Reproducibility, RStudio, Git, R Markdown

A preview of the learning resources for an upcoming workshop; Reproducibility: Data Management, Git, & RStudio

Compose Slides in R with Xaringan Slides

Wed, Aug 9, 2017 R, Markdown Xaringan, Reproducibility, Slides, Markdown

Xarigan Slides generate slides as a report format. Now your analysis can creat slides at the push of a button.

R Markdown is so very Reproducible

Thu, Aug 3, 2017 Markdown, R, Blog Thoughts, Reproducibility Markdown, Reproducibility, R Markdown

R Markdown is the backbone of R’s dynamic documents, literate data science, and reproducibility.

Reproducibility: Data Management, git, RStudio

Wed, Jul 5, 2017 R, Data Management, Workshop Data Management, git, RStudio, Reproducibility

New reproducibility workshop with git and RStudio coming in September 2017.

Contacts

Walk-in hours, Wednesday 1PM to 3PM

or make an appointment (See )

Data & Visualization Lab

the /Edge - Bostock Library

Duke University Libraries. (floor map)

For my in-person clients, schedule me

http://v.gd/littleconsult

My github

Old ways work

telephone, answering machine, email, etc.

Twitter – tweet, tweet…