Data analysis demos

Friday, October 27, 2017

Green Library - Velma Denning Room, 120F

Data and Data Visualization in R

with Claudia Engel at 1:00 pm

Claudia Engel will provide an overview over some of the most common tools to support data driven research data in R, including accessing data, data processing, visualization, and reporting results.

As Academic Technology Specialist for the Department of Anthropology and affiliate with the Center for Interdisciplinary Digital Research at the Stanford Libraries Claudia Engel collaborates with Anthropology faculty on innovative technology projects that are part of their research and teaching. She also teaches and co-teaches Anthropology courses.

Coding and Querying Data with NVivo

with Alesia Montgomery at 2:00 pm

This demo will show how to code and query data in qualitative and mixed methods projects with NVivo.  Through June 2018, NVivo, a qualitative data analysis software package, is available for free to Stanford students, faculty, and staff via the Software Licensing web store.  You can bring NVivo loaded on your laptop or simply watch the demo.

Alesia Montgomery is the subject specialist for sociology, psychology and qualitative data at Stanford. For over two decades, she has been engaged in qualitative research and teaching; her publications include articles in IJURR, City & Community, Global Networks and Ethnography.

Histonets: From Maps to Networks

with Scott Bailey & Javier de la Rosa at 3:00 pm

As scholars turn to images for research, extracting operational data from them can often be a time consuming and error prone task. Primary research data for historical road networks can be obtained from images and often times is manually extracted. This demo will show Histonets, an open-source tool, developed here in the Center for Interdisciplinary Digital Research, to solve these problems by providing a semi-automated way for users to extract road network data from historic maps.

Scott Bailey is a research developer in the Center for Interdisciplinary Digital Research. He is particularly interested in different forms of computational text analysis, but enjoys supporting any type of innovative digital research in the humanities and social sciences. Apart from his software development work, he studies philosophical theology, with particular attention to issues in theological ontology in light of contemporary continental philosophy.

Javier de la Rosa is a research engineer at the Center for Interdisciplinary Digital Research, a unit of the Stanford University Libraries focused on digital scholarship at the intersections of Humanities, Social Sciences, and Computer Science. He holds a PhD in Hispanic Studies and a MSc in Artificial Intelligence. His work and interests span from cultural network analysis and computer vision, to text mining and authorship attribution in the Spanish Golden Age of literature

Open R Lab

with Claudia Engel at 4:00 pm

Come and ask questions about R, learn about what Library resources are available to you.