Category Archives: workshops

R Open Labs – open hours to learn more R

New this fall…

R fun: An R Learning Series
An R workshop series by the Center for Data and Visualization Sciences.

You are invited to stop by the Edge Workshop Room on Mondays for a new Rfun program, the R Open Labs,  6-7pm, Sept. 16 through Oct. 28. No need to register although you are encouraged to double-check the R Open Labs schedule/hoursBring your laptop!

This is your chance to polish R skills in a comfortable and supportive setting.  If you’re a bit more advanced, come and help by demonstrating the supportive learning community that R is known for.

No Prerequisites, but please bring your laptop with R/RStudio installed. No skill level expected. Beginners, intermediate, and advanced are all welcome. One of the great characteristics of the R community is the supportive culture. While we hope you have attended our Intro to R workshop (or watched the video, or equivalent). This is an opportunity to learn more about R and to demystify some part of R that your find confusing.

FAQ

What are Open Labs

Open labs are semi-structured workshops designed to help you learn R. Each week brief instruction will be provided, followed by time to practice, work together, ask questions and get help. Participants can join the lab any time during the session, and are welcome to work on unrelated projects.

The Open Labs model was established by our colleagues at Columbia and adopted by UNC Chapel Hill. We’re giving this a try as well. Come help us define our direction and structure. Our goal is to connect researchers and foster a community for R users on campus.

How do I Get Started?

Attend an R Open Lab. Labs occur on Mondays, 6pm-7pm in the Edge Workshop Room in the Bostock Library. In our first meeting we will decide, as a group, which resource will guide us. We will pick one of the following resources…

  1. R for Data Science by Hadley Wickham & Garrett Grolemund (select chapters, workbook problems, and solutions)
  2. The RStudio interactive R Primers
  3. Advanced R by Hadley Wickham (select chapters and workbook problems)
  4. Or, the interactive dataquest.io learning series on R

Check our upcoming Monday schedule and feel free to RSVP.  We will meet for 6 nearly consecutive Mondays during the fall semester.

Please bring a laptop with R and R Studio installed.  If you have problems installing the software, we can assist you with installation as time allows. Since we’re just beginning with R Open Labs, we think there will be time for one-on-one attention as well through learning and community building.

How to install R and R Studio

If you are getting started with R and haven’t already installed anything, consider using using these installation instructions.  Or simply skip the installation and use one of these free cloud environments:

Begin Working in R

We’ll start at the beginning, however, R Open Labs recommends that you attend our Intro to R workshop or watch the recorded video. Being a beginner makes you part of our target audience so come ready to learn and ask questions. We also suggest working through materials from our other workshops, or any of the resource materials listed in the Attend an R Open Lab section (above).  But don’t let lack of experience stop you from attending.  The resources mentioned above will be the target of our learning and exploration.

Is R help available outside of Open Labs?

If you require one-on-one help with R outside of the Open Labs, in-person assistance is available from the Library’s Center for Data & Visualization Sciences, our Center’s Rfun workshops, or our walk-in consulting in the Brandaleone Data and Visualization Lab (floormap. 1st Floor Bostock Library).

 

Announcing Tidyverse workshops for Winter 2018

Coming this winter the Data & Visualization Services Department will once again host a workshop series on the R programming language. Our spring offering is modeled on our well received R we having fun yet‽ (Rfun) fall workshop series. The four-part series will introduce R as a language for modern data manipulation by highlighting a set of tidyverse packages that enable functional data science. We will approach R using the free RStudio IDE, an intent to make reproducible literate code, and a bias towards the tidyverse. We believe this open tool-set provides a context that enables and reinforces reproducible workflows, analysis, and reporting.

This six-part series will introduce R as a language for modern data manipulation by highlighting a set of tidyverse packages that enable functional data science.

January Line-up

Title Date Registration Past Workshop
Intro to R Jan 19
1 – 3pm
register Resources
R Markdown
with Dr. Çetinkaya-Rundel
Jan 23
9am
register
Shiny
with Dr. Çetinkaya-Rundel
Jan 25
9am
register
Mapping with R Jan 25
1-3pm
register Resources
Reproducibility & Git Jan 29
1-3pm
register Resources
Visualizationg with ggplot2 Feb 1
9:30-11:30am
register Resources

An official announcement with links to registration is forthcoming. Feel free to subscribe to the Rfun or DVS-Announce lists. Or look to the DVS Workshop page for official registration links as soon as they are available.

Workshop Arrangement

This workshop series is intended to be iterative and recursive. We recommend starting with the Introduction to R. Proceed through the remaining three workshops in any order of interest.

Recordings and Past Workshops

We presented a similar version of this workshop series last fall and recorded each session whenever possible. You can stream past workshops and engage with the shareable data sets at your-own-pace (see the Past Workshop resources links, above.) Alternatively, all the past workshop resource links are presented in one listicle: Rfun recap.

Fall Data and Visualization Workshops

2017 Data and Visualization Workshops

Visualize, manage, and map your data in our Fall 2017 Workshop Series.  Our workshops are designed for researchers who are new to data driven research as well as those looking to expand skills with new methods and tools. With workshops exploring data visualization, digital mapping, data management, R, and Stata, the series offers a wide range of different data tools and techniques. This fall, we are extending our partnership with the Graduate School and offering several workshops in our data management series for RCR credit (please see course descriptions for further details).

Everyone is welcome at Duke Libraries workshops.  We hope to see you this fall!

Workshop Series by Theme

Data Management

09-13-2017 – Data Management Fundamentals
09-18-2017 – Reproducibility: Data Management, Git, & RStudio 
09-26-2017 – Writing a Data Management Plan
10-03-2017 – Increasing Openness and Reproducibility in Quantitative Research
10-18-2017 – Finding a Home for Your Data: An Introduction to Archives & Repositories
10-24-2017 – Consent, Data Sharing, and Data Reuse 
11-07-2017 – Research Collaboration Strategies & Tools 
11-09-2017 – Tidy Data Visualization with Python

Data Visualization

09-12-2017 – Introduction to Effective Data Visualization 
09-14-2017 – Easy Interactive Charts and Maps with Tableau 
09-20-2017 – Data Visualization with Excel
09-25-2017 – Visualization in R using ggplot2 
09-29-2017 – Adobe Illustrator to Enhance Charts and Graphs
10-13-2017 – Visualizing Qualitative Data
10-17-2017 – Designing Infographics in PowerPoint
11-09-2017 – Tidy Data Visualization with Python

Digital Mapping

09-12-2017 – Intro to ArcGIS Desktop
09-27-2017 – Intro to QGIS 
10-02-2017 – Mapping with R 
10-16-2017 – Cloud Mapping Applications 
10-24-2017 – Intro to ArcGIS Pro

Python

11-09-2017 – Tidy Data Visualization with Python

R Workshops

09-11-2017 – Intro to R: Data Transformations, Analysis, and Data Structures  
09-18-2017 – Reproducibility: Data Management, Git, & RStudio 
09-25-2017 – Visualization in R using ggplot2 
10-02-2017 – Mapping with R 
10-17-2017 – Intro to R: Data Transformations, Analysis, and Data Structures
10-19-2017 – Developing Interactive Websites with R and Shiny 

Stata

09-20-2017 – Introduction to Stata
10-19-2017 – Introduction to Stata 

 

 

 

 

 

 

 

 

 

 

 

 

Fall 2016 DVS Workshop Series

GenericWorkshops-01Data and Visualization Services is happy to announce its Fall 2016 Workshop Series. Learn new ways of enhancing your research with a wide range of data driven research methods, data tools, and data sources.

Can’t attend a session?  We record and share most of our workshops online.  We are also happy to consult on any of the topics above in person.  We look forward to seeing you in the workshops, in the library, or online!

Data Sources
 
Data Cleaning and Analysis
 
Data Analysis
Introduction to Stata (Two sessions: Sep 21, Oct 18)
 
Mapping and GIS
Introduction to ArcGIS (Two sessions: Sep 14, Oct 13)
ArcGIS Online (Oct 17)
 
Data Visualization

Visualizing Qualitative Data (Oct 19)
Visualizing Basic Survey Data in Tableau – Likert Scales (Nov 10)

Data and Visualization Spring 2016 Workshops

Spring 2016 DVS WorkshopsSPRING 2016: Data and Visualization Workshops 

Interested in getting started in data driven research or exploring a new approach to working with research data?  Data and Visualization Services’ spring workshop series features a range of courses designed to showcase the latest data tools and methods.  Begin working with data in our Basic Data Cleaning/Analysis or the new Structuring Humanities Data  workshop.  Explore data visualization in the Making Data Visual class.  Our wide range of workshops offers a variety of approaches for the meeting the challenges of 21st century data driven research.   Please join us!

Workshop by Theme

DATA SOURCES

DATA CLEANING AND ANALYSIS

DATA ANALYSIS

MAPPING AND GIS

DATA VISUALIZATION

* – For these workshops, no prior experience with data projects is necessary!  These workshops are great introductions to basic data practices.

DVS Fall Workshops

GenericWorkshops-01Data and Visualization Services is happy to announce its Fall 2015 Workshop Series.  With a range of workshops covering basic data skills to data visualization, we have a wide range of courses for different interests and skill levels..  New (and redesigned) workshops include:

  • OpenRefine: Data Mining and Transformations, Text Normalization
  • Historical GIS
  • Advanced Excel for Data Projects
  • Analysis with R
  • Webscraping and Gathering Data from Websites

Workshop descriptions and registration information are available at:

library.duke.edu/data/news

 

Workshop
 

Date

OpenRefine: Data Mining and Transformations, Text Normalization
Sep 9
Basic Data Cleaning and Analysis for Data Tables
Sep 15
Introduction to ArcGIS
Sep 16
Easy Interactive Charts and Maps with Tableau
Sep 18
Introduction to Stata
Sep 22
Historical GIS
Sep 23
Advanced Excel for Data Projects
Sep 28
Easy Interactive Charts and Maps with Tableau
Sep 29
Analysis with R
Sep 30
ArcGIS Online
Oct 1
Web Scraping and Gathering Data from Websites
Oct 2
Advanced Excel for Data Projects
Oct 6
Basic Data Cleaning and Analysis for Data Tables
Oct 7
Introduction to Stata
Oct 14
Introduction to ArcGIS
Oct 15
OpenRefine: Data Mining and Transformations, Text Normalization
Oct 20
Analysis with R
Oct 20

 

Data and GIS Services Spring 2014 Workshop Series

DGSwkshpExplore network analysis, text mining, online mapping, data visualization, and statistics in our spring 2014 workshop series.  Our workshops provide a chance to explore new tools or refresh your memory on effective strategies for managing digital research.  Interested in keeping up to date with workshops and events in Data and GIS?  Subscribe to the dgs-announce listserv or follow us on Twitter (@duke_data).

Currently Scheduled Workshops

 Thu, Jan 9 2:00 PM – 3:30 PM  Data Management Plans – Grants, Strategies, and Considerations

 Mon, Jan 13 2:00 PM – 3:30 PM Webinar: Social Science Data Management and Curation

 Mon, Jan 13 3:00 PM – 4:00 PM Google Fusion Tables

 Tue, Jan 14 3:00 PM – 4:00 PM Open (aka Google) Refine 

 Wed, Jan 15 1:00 PM – 3:00 PM Stata for Research

 Thu, Jan 16 3:00 PM – 5:00 PM Analysis with R

 Tue, Jan 21 1:00 PM – 3:00 PM Introduction to ArcGIS

 Wed, Jan 22 1:00 PM – 3:00 PM ArcGIS Online

 Wed, Jan 22 3:00 PM – 4:00 PM Open (aka Google) Refine 

 Mon, Jan 27 2:00 PM – 3:30 PM Introduction to Text Analysis

 Wed, Jan 29 1:00 PM – 3:00 PM Analysis with R

 Thu, Jan 30 2:00 PM – 4:00 PM Stata for Research

 Mon, Feb 3 1:00 PM – 2:00 PM  Data Visualization on the Web

 Mon, Feb 3 2:00 PM – 3:00 PM  Data Visualization on the Web (Advanced)

 Tue, Feb 11 2:00 PM – 4:00 PM Using Gephi for Network Analysis and Visualization

 Wed, Feb 12 1:00 PM – 3:00 PM Introduction to ArcGIS

 Tue, Feb 18 2:00 PM – 3:30 PM Introduction to Tableau Public 8

 Tue, Feb 25 1:00 PM – 3:00 PM ArcGIS Online

 Thu, Feb 27 1:00 PM – 3:00 PM Historical GIS

 Mon, Mar 3 2:00 PM – 3:30 PM  Designing Academic Figures and Posters

 Tue, Mar 4 1:00 PM – 3:00 PM  Useful R Packages: Extensions for Data Analysis, Management, and Visualization