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Stokes Viz Hub

The Stokes Visualization Hub is a space and service, that responds to the evolving digital research, data visualization, and qualitative analysis needs of the Princeton Students and Faculty, with a focus on WWS and the related social sciences.

Stokes Viz Hub Workshops

Fall 2019

September

 

  1. Qualitative coding with Nvivo
    1. Instructor: Seth Porter, Head of Stokes Library
    2. Date: 9/19/19 @ 2:00PM-3:00PM, Stokes E-classroom 070
    3. Reserve your spot:  https://libcal.princeton.edu/calendar/open/?cid=11819&t=d&d=0000-00-00&cal=11819
    4. This is for a limited number of participants unless you already have access to Nvivo on your personal laptop. There are four licenses available in the Stokes Viz Hub.
  • Description:
    • NVivo is a data analysis tool designed for researchers working with text based or multimedia information. NVivo allows you to collect, organize, and analyze the various connections between documents, pictures, audio and video, web pages, and social media data. The introductory workshop will be an overview on the basics of using and understanding NVivo for your future research.
      • The introductory course will cover the following topics:
        • General overview of coding and content analysis.
        • Introduction to the Nvivo interface.
        • Exploration of source analysis.
        • Tools for coding content.
        • Text searching and queries for content analysis

 

  1. Qualitative coding with Open Source Software (QDA Miner Lite)
    1. Instructor: Seth Porter, Head of Stokes Library
    2. Date: 9/2619 @ 2:00PM-3:00PM, Stokes E-classroom 070
    3. Reserve your spot:  https://libcal.princeton.edu/calendar/open/?cid=11819&t=d&d=0000-00-00&cal=11819
    4. The Stokes Viz Hub has 11 QDA Miner Lite licenses, but you can also download it free here: https://provalisresearch.com/products/qualitative-data-analysis-software/freeware/
  • Description:
    • QDA Miner Lite is a free open source  data analysis tool designed for researchers working with text based information. QDA Miner Lite allows you to collect, organize, and analyze the various connections between documents and other textual based information. The introductory workshop will be an overview on the basics of using and understanding  QDA Miner Lite for your future research.
      • The introductory course will cover the following topics:
        • General overview of coding and content analysis.
        • Introduction to the interface.
        • Exploration of source analysis.
        • Tools for coding content.
        • Text searching and queries for content analysis

 

  1. Zotero
    1. Instructor: Elana Broch, Assistant Population Research Librarian, Stokes Library
    2. Date: 09/27/19 @ 12:00PM – 1:00PM, Stokes E-classroom 070
    3. Reserve your spot: https://libcal.princeton.edu/calendar/open/?cid=11819&t=d&d=0000-00-00&cal=11819
  • Description:
    • Zotero is a free, easy-to-use tool for reference management. Once we have Zotero installed and running, you will learn how to collect your research sources and organize them into a single, searchable interface.  We’ll show you how to create a document and insert the footnotes with the click of a button. You’ll learn how to instantly create the bibliography in ANY of the popular citation styles.

 

October

 

  1. Introduction to Virtual Reality: Free-Play 
    1. Instructor: Seth Porter, Head of Stokes Library
    2. Date: 10/2/19 @ 4:00PM - 5:00PM, Stokes E-classroom 070
    3. Reserve your spot: https://libcal.princeton.edu/calendar/open/?cid=11819&t=d&d=0000-00-00&cal=11819
  • Description: TBD

 

  1. Intro to Graphics 
    1. Instructor: Elana Broch, Assistant Population Research Librarian, Stokes Library
    2. Date: 10/11/19 @ 2:00PM - 3:30PM, Stokes E-classroom 070
    3. Reserve your spot:  https://libcal.princeton.edu/calendar/open/intro_to_graphics
       
  • Description:
    • This workshop is designed to increase your familiarity with basic principles of designing meaningful data visualizations.  Following a discussion of how the brain “preattentive processing” handles visual information, the workshop will cover basic principles for determining the best visualization to use given your message, audience and the type of data you are working with. 

    • Please note: This workshop is not hands-on.

 

  1. Urban Institute - Data Vis (This has been rescheduled to November 13th. See the November course listing for details).
    1. instructor: Jonathan Schwabish
    2. Date: 10/15/1, Stokes E-classroom 070. Three sessions will be offered:
      • 1:30PM-2:30PM; 3:00PM-4:00PM; 4:30PM-5:30PM
    3. Reserve your spot: Reserved to WWS Master students only

 

  1. Qualitative Visualization with MAXQDA -Seth--10/17/19 @ 3:00PM-4:00PM
    1. Instructor: Seth Porter, Head of Stokes Library
    2. Date: 10/17/19 @ 3:00PM - 4:00PM, Stokes E-classroom 070
    3. Reserve your spot: https://libcal.princeton.edu/calendar/open/maxqda
    4. This is for a limited number of participants unless you already have access to MAXQDA on your personal laptop. There are three licenses available in the Stokes Viz Hub.
  • Description:
    • MAXQDA is a data analysis tool designed for researchers working with text based information. MAXQDA allows you to collect, organize, and analyze the various connections between documents and other textual based information. The introductory workshop will be an overview on the basics of using and understanding  MAXQDA for your future research.
      • The introductory course will cover the following topics:
        • General overview of coding and content analysis.
        • Introduction to the interface.
        • Exploration of source analysis.
        • Tools for coding content.
        • Text searching and queries for content analysis

 

  1. Data Analysis Workshop 101 - R\Rstudio
    1. Instructor: Oscar Torres-Reyna, Data and Statistics Consultant, Data and Statistical Services (DSS)
    2. Date: 10/18/19 @ 10:30AM-12:00PM Stokes E-classroom 070
    3. For more information and to reserve your spot: https://dss.princeton.edu/dsslab/workshops/DataAnalysis101-2019.pdf
  • Description:
    • Intro to data analysis using R is a hands-on workshop designed for beginners who are interested in using R for their research projects. No previous experience necessary.
    •   Topics covered include:
      • Data transfer
      • Data preparation
      • Descriptive statistics
      • Introduction to data visualization
      • introduction to linear regression

 

  1.  Data Analysis Workshop 101 - Stata
    1. Instructor: Oscar Torres-Reyna, Data and Statistics Consultant, Data and Statistical Services (DSS)
    2. Date: 10/18/19 @ 3:00PM-4:30PM, Stokes E-classroom 070
    3. For more information and to reserve your spot: https://dss.princeton.edu/dsslab/workshops/DataAnalysis101-2019.pdf
  • Description:
    • Intro to data analysis using Stata is a hands-on workshop designed for beginners who are interested in using R for their research projects. No previous experience necessary.
    •   Topics covered include:
      • Data transfer
      • Data preparation
      • Descriptive statistics
      • Introduction to data visualization
      • Introduction to linear regression

 

  1. Intro to ArcGIS 
    1. Instructor: Wangyal Shawa, Geographic Information Systems Librarian, Digital Map and Geospatial Information (GIS) Center
    2. Date: 10/25/19 @ 1:30PM-3:00PM, Stokes E-classroom 070
    3. Reserve your spot: https://libcal.princeton.edu/calendar/open/intro_to_ArcGIS
  • Description:
    • In this introduction GIS workshop, you will use ArcGIS Pro software to explore geographic data, tables and create maps. This workshop will also show how to use the GIS Portal site that Princeton University Library hosts to add geographic data downloaded over the internet and analyze data and create maps and then share them with the public. No previous GIS experience is needed to take this workshop.

 

November

 

  1. WWS Excel – 11/12 @ 4:30pm – 6:00pm
    1. Reserved for WWS Master Students only.

 

  1. Urban Institute - Data Vis (This was rescheduled from October 15th).
    1. instructor: Jonathan Schwabish
      1. Date: 11/13/19, Stokes E-classroom 070. Three sessions will be offered:
        • 1:30PM-2:30PM; 3:00PM-4:00PM; 4:30PM-5:30PM
      2. Reserve your spot: Reserved to WWS Master students only

 

  1. Intro to R Graphics – Ofira – 11/15 @ 10:30am – 12:00pm
    1. Instructor: Ofira Schwartz-Soicher, Social Sciences Data & Sociology Librarian
      1. Date: 11/15/19 @ 10:30AM – 12:00PM, Stokes E-classroom 070
      2. Reserve your spot: https://libcal.princeton.edu/calendar/open/R_graphics
  • Description:
    • Data Visualization with R (Intro to R graphics) is a hands-on workshop designed to introduce participants to the principles of visualizing data using R’s ggplot package. You will learn how to make plots in a well-informed way, understanding the basic steps needed for making a visually appealing plot. Previous knowledge of R is not required but may be helpful.

 

December

 

  1. Intro to Stata Graphics
    1. Instructor: Dawn Koffman, Statistical Programmer, Office of Population Research
    2. Date: 12/6/19 @ 9:30AM – 11:00AM, Stokes E-classroom 070
    3. Reserve your spot: https://libcal.princeton.edu/calendar/open/Stata_Graphics
  • Description:
    • This workshop provides an introduction to Stata graphics. Topics include: Pros and cons of Stata graphics; Graphics syntax; Setting overall look of graphs; Making simple line graphs and scatter plots; Overlaying plot types; Adding text, titles and legends; Showing linear fit lines and confidence intervals; Labeling points and axes; Generating separate graphs for subsets of data; Storing graphs in memory and on disk; Combining graphs; and Using Stata graphs in other documents. The format is example-based. Attendees are provided with a Stata do file containing code for the graphs presented during the workshop, and are encouraged to modify and/or execute the code as graphs are discussed.

 

January

 

  1. Virtual Reality:  Finals stress-relief-- Seth--1/23/2020@ 1:00PM - 2:00PM

 

 

 

 

*date TBD. Woodrow Wilson School  Masters Student Only.