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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 SPIA and the related social sciences.

Stokes Viz Hub Workshops

Fall 2020

 

  1. Title: Intro to ArcGIS

Date & Time: 9/18/2020 @ 12:30am -2:00pm

Instructor: Wangyal Shawa, Geographic Information Systems Librarian, Digital Map and Geospatial Information (GIS) Center

Reserve your spot: https://libcal.princeton.edu/calendar/events/ArcGISf20

Description: In this introduction to 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.

 

  1. Title: Reference Management with Zotero

Date & Time: 9/25/2020 @ 12:00pm -1:00pm

Instructor: Elana Broch, Public Policy Librarian, Stokes Library

Reserve your spot: https://libcal.princeton.edu/calendar/events/Zoterof20

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 will show you how to create a document and insert the footnotes with the click of a button. You will learn how to, instantly, create the bibliography in ANY of the popular citation styles.

 

  1. Title: Data Analysis 101 - RStudio

Date & Time: 9/25/2020 @ 10:30pm -12:00pm

Instructor: Oscar Torres-Reyna, Data and Statistics Consultants – Data and Statistical Services

Reserve your spot: https://libcal.princeton.edu/event/7060939

Description: The workshops are hands-on and intended for beginners. No previous knowledge of data analysis and/or the software is required. Each session will cover the following topics for either Stata or R (RStudio): data transfer, data preparation, descriptive statistics, introduction to data visualization, introduction to linear regression. All sessions are stand-alone covering the same material. Hardware/software prerequisites: By the time the session starts, students must install or have access to Stata or R/RStudio.

 

  1. Title: Data Analysis 101 - RStudio

Date & Time: 10/2/2020 @ 2:00pm -3:30pm

Instructor: Oscar Torres-Reyna, Data and Statistics Consultants – Data and Statistical Services

Reserve your spot: https://libcal.princeton.edu/event/7060974

Description: The workshops are hands-on and intended for beginners. No previous knowledge of data analysis and/or the software is required. Each session will cover the following topics for either Stata or R (RStudio): data transfer, data preparation, descriptive statistics, introduction to data visualization, introduction to linear regression. All sessions are stand-alone covering the same material. Hardware/software prerequisites: By the time the session starts, students must install or have access to Stata or R/RStudio.

 

  1. Title: Data Analysis 101A – Stata (Part 1)

Date & Time: 10/7/2020 @ 12:00pm – 1:00pm

Instructor: Cortney Conrad, Data and Statistics Consultants – Data and Statistical Services

Reserve your spot: https://libcal.princeton.edu/calendar/events/AnalysiswStata1f20

Description: This workshop is part one of a two-part Stata 101 series. This workshop is hands-on and intended for beginners. No previous knowledge of data analysis and/or Stata is required. In this session we will cover the following topics: data transfer, data preparation, and descriptive statistics.

Hardware/software prerequisites: By the time the session starts, students must install or have access to Stata.

 

  1. Title: Data Analysis 101B – Stata (Part 2)

Date & Time: 10/9/2020 @ 12:00pm – 1:00pm

Instructor: Cortney Conrad, Data and Statistics Consultants – Data and Statistical Services

Reserve your spot: https://libcal.princeton.edu/calendar/events/AnalysiswStata2f20

Description: This workshop is part two of a two-part Stata 101 series. This workshop is hands-on and intended for beginners. In this session we will cover the following topics: introduction to data visualization and introduction to regression analysis.

Prerequisite for this workshop: attending Data Analysis 101 Workshop: Stata (Part 1) (on 10/7/2020) and/or knowledge of how to transfer data and perform basic commands/syntax in Stata.

Hardware/software prerequisites: By the time the session starts, students must install or have access to Stata.

 

  1. Title: Digital Qualitative Analysis with Open Source Software (QDA MinerLite)

Date & Time: 10/14/2020 @ 11:00Am – 12:00pm

Instructor: Seth Porter – Head of Stokes Library

Reserve your spot: https://libcal.princeton.edu/calendar/events/QDAMinerLitef20

Description: QDA MinerLite is a free open source data-analysis tool designed for researchers working with text-based information. QDA MinerLite 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 MinerLite 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. Title: R for Stata Users

Date & Time: 10/16/2020 @ 12:00pm – 1:00pm

Instructor: Cortney Conrad, Data and Statistics Consultants – Data and Statistical Services

Reserve your spot: https://libcal.princeton.edu/calendar/events/RforStatUsersf20

Description: This workshop is designed for Stata users who would like an introduction to the R (RStudio) environment and syntax. In this workshop, participants will learn how to perform basic Stata commands in R (RStudio) helping them understand the structure of the R syntax. This workshop is hands-on and intended for beginners. We will cover the following topics in RStudio: data transfer, data preparation, descriptive statistics, introduction to data visualization, and introduction to linear regression.

Prerequisite for this workshop: some prior exposure to Stata. No previous knowledge of RStudio is required.

Hardware/software prerequisites: By the time the session starts, students must install or have access to RStudio.

 

  1. Title: Digital Qualitative Coding with MaxQDA

Date & Time: 10/28/2020 @ 11:00 -12:00pm

Instructor: Seth Porter – Head of Stokes Library

Reserve your spot: https://libcal.princeton.edu/calendar/events/MaxQDAf20

Description: MaxQDA is a data analysis tool designed for researchers working with text based or multimedia information. MaxQDA 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 MaxQDA for your future research. The introductory course will cover the following topics:

    • General overview of coding and content analysis.
    • Introduction to the MaxQDA interface.
    • Exploration of source analysis.
    • Tools for coding content.
    • Text searching and queries for content analysis.

 

  1. Title: Intro to R Graphics

Date & Time: 11/6/2020 @ 12:00 -1:00pm

Instructor: Ofira Schwartz – Social Sciences Data & Sociology Librarian

Reserve your spot: https://libcal.princeton.edu/calendar/events/RGraphics

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.

 

  1. Title: Intro to Stata Graphics

Date & Time: 11/11/2020 @ 12:00pm – 1:00pm

Instructor: Dawn Koffman, Statistical Programmer, Office of Population Research

Reserve your spot: https://libcal.princeton.edu/calendar/events/StataGraphicsf20

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.