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

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 DVS Description Registration

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 Learning Materials GitHub Code DVS Description Registration

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

Modern R using the tidyverse method

Joel Herndon, John Little

Details Slides Video Dataset Learning Materials GitHub Code DVS Description Registration

Recent Workshops

Reproducibility: Data Management, Git, & RStudio
Details Slides Video Learning Materials GitHub Code OSF Project DVS Description Registration
Practical Mapping in R: Lat/Lon plotting & Choropleths
Details Slides Video Dataset Learning Materials GitHub Code DVS Description Registration
Introduction to R: Data Transformations, Analysis, and Data Structures
Details Slides Video Dataset Learning Materials GitHub Code DVS Description Registration
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

Code Example: List to Data Frame

This code example illustrates purrr and repurrrsive

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.

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…