Mapping in R

All Libcal Events (Huginn Feed) - Wed, 2017-02-15 18:00
Bostock 023 Training Room
West Campus

Want to learn how the statistical software environment R can be used for mapping?  R has become a popular mapping option for those who want to easily switch between spatial and statistical analysis and reproduce/share the code easily.  This workshop will demonstrate how to import and view shapefiles, run statistical analysis, and create a leaflet map which can be used online.  Prerequisites: Intro to R: Data Transformations, Analysis, and Data Structures AND Introduction to ArcGIS.  Please attend both of these workshops or watch the videos from previous workshops.

CIT Open Office Hours

CIT Events Test - Wed, 2017-02-15 15:00
Bostock 024
West Campus

Want to change your syllabus? Need help creating an online discussion board? CIT consultants are available to discuss course design and instructional technology.  Come by to ask questions about active learning in class or how to think about teaching a new course. We can also answer questions about using Sakai, WordPress, and other Duke supported instructional technologies for teaching and learning. REGISTRATION IS NOT REQUIRED.

SSRI~ Workshop: Qualitative Data Management Strategies and Techniques

Events - All Combined (Huginn Feed) - Tue, 2017-02-14 19:00
Tue, Feb 14, 2017
2:00 PM - 4:00 PM
SSRI-Gross Hall 230E
Compared to survey research, data management strategies in qualitative research are often ad-hoc, and produced after the data collection process has been completed. Different qualitative methods produce different types of data and require different analytical approaches, yet there are several strategies worth considering for managing your data and can be planned and deployed prior to commencing data collection in order to facilitate the transition from data collection to data analysis. This workshop will cover a range of qualitative data management strategies in order to help researchers plan for data collection, or to help researchers manage data during or after the collection process. Some time will be given to the role of NVivo software in facilitating data management and preparing for data analysis. Registration required; please click "more information" to access the registration form.

East Campus Open Office Hours

CIT Events Test - Tue, 2017-02-14 19:00
Lilly Library Computer Lab
East Campus

Want to change your syllabus? Need help creating an online discussion board? CIT consultants are available to discuss course design and instructional technology.  Come by to ask questions about active learning in class or how to think about teaching a new course. We can also answer questions about using Sakai, WordPress, and other Duke supported instructional technologies for teaching and learning. REGISTRATION IS NOT REQUIRED.

SSRI~ Workshop: Qualitative Data Analysis

Events - All Combined (Huginn Feed) - Tue, 2017-02-14 19:00
Tue, Feb 14, 2017
2:00 PM - 4:00 PM
SSRI-Gross Hall 230E
This workshop will allow students to transform interview transcripts into analyzable data, and to learn foundational skills in qualitative data analysis, including a brief introduction to using NVivo software. Participants will be introduced to the most common coding strategies deployed in social science to analyze data collected through in-depth interviews, focus groups, participant observation, and/or archival analyses of text. A section of the workshop will be dedicated to taking questions regarding coding in the individual research projects of participants. Registration required; please click "more information" to access the registration form.

SSRI~ Workshop: Introduction to Qualtrics Survey Software

Events - All Combined (Huginn Feed) - Tue, 2017-02-14 19:00
Tue, Feb 14, 2017
2:00 PM - 4:00 PM
SSRI-Gross Hall 230E
This workshop offers an introduction to Qualtrics survey software, a package available (at no cost to researchers) for use across Duke's campus and medical center. This powerful, easy-to-use system is a great way to collect information online, whether as part of a research protocol or for administrative purposes such as program evaluation. This workshop will introduce participants to the Qualtrics system, demonstrate how to set up an account, create a questionnaire and access its results. It will also cover some basic tools that can be used to customize the questionnaire to fit your needs, such as using display and skip logic to collect more detailed information from a subset of your audience. The workshop is taught through the Duke Initiative on Survey Methodology (DISM) in collaboration with the Duke Office of Information Technology (OIT). Participants will receive a very brief overview of the consulting and other services DISM offers to help Duke researchers develop and conduct surveys. Registration required; please click "more information" to access the registration form.

Munch & Mull digital scholarship discussion group

Bostock 121 (Murthy Digital Studio)
West Campus

Munch & Mull digital scholarship discussion group

All Libcal Events (Huginn Feed) - Mon, 2017-02-13 17:00
Bostock 121 (Murthy Digital Studio)
West Campus

DVS Workshop: Visualizing Qualitative Data

Events - All Combined (Huginn Feed) - Mon, 2017-02-13 15:00
Mon, Feb 13, 2017
10:00 AM - 12:00 PM
Bostock Library - The Edge Workshop RoomFirst Floor
So many of the tools that have been developed for data visualization focus on data that are in spreadsheet format, especially data that are number-heavy. For qualitative research, numerical data may not be the primary focus, or the numerical data may be difficult to visualize for other reasons. This workshop will explore some of the complications of trying to visualize qualitative data, walking through examples of different types of qualitative data projects and the visualizations that have been produced from those projects. Exercises will help attendees work through the process of developing visualizations for sample qualitative projects. The workshop will include recommendations for tools that may be useful, but we will focus more on the process of identifying possible visual elements within a qualitative data project than on a specific software application.

Visualizing Qualitative Data

All Libcal Events (Huginn Feed) - Mon, 2017-02-13 15:00
Bostock 127 (The Edge Workshop Room)
West Campus

So many of the tools that have been developed for data visualization focus on data that are in spreadsheet format, especially data that are number-heavy.  For qualitative research, numerical data may not be the primary focus, or the numerical data may be difficult to visualize for other reasons.  This workshop will explore some of the complications of trying to visualize qualitative data, walking through examples of different types of qualitative data projects and the visualizations that have been produced from those projects.  Exercises will help attendees work through the process of developing visualizations for sample qualitative projects.  The workshop will include recommendations for tools that may be useful, but we will focus more on the process of identifying possible visual elements within a qualitative data project than on a specific software application.

DVS Workshop: Tableau Boot Camp

Events - All Combined (Huginn Feed) - Fri, 2017-02-10 18:30
Fri, Feb 10, 2017
1:30 PM - 4:00 PM
Bostock Library - The Edge Workshop RoomFirst Floor
Tableau is specially-designed software for the easy design of interactive charts, maps, and dashboards. In this boot camp, we will start from the beginning with learning Tableau and work through several data sets that highlight different chart types, different data structures, and different challenges within Tableau. Note: Workshop participants must bring a Mac or PC laptop with Tableau installed. Students should consider registering for a free license to the full version of Tableau Desktop. Other participants can sign up for a free two-week trial of the full version of Tableau Desktop or install the free Tableau Public instead. Target audience: This workshop is especially designed for Tableau beginners. Existing Tableau users may prefer to register for one of our more advanced workshops, or they may wish to get a refresher on Tableau by watching our previously-recorded workshops. This boot camp will build on previous, shorter workshops and may involve some repetition for attendees or viewers of previous workshops.

Tableau Boot Camp

All Libcal Events (Huginn Feed) - Fri, 2017-02-10 18:30
Bostock 127 (The Edge Workshop Room)
West Campus

Tableau is specially-designed software for the easy design of interactive charts, maps, and dashboards. In this boot camp, we will start from the beginning with learning Tableau and work through several data sets that highlight different chart types, different data structures, and different challenges within Tableau.  

Note: Workshop participants must bring a Mac or PC laptop with Tableau installed.  Students should consider registering for a free license to the full version of Tableau Desktop. Other participants can sign up for a free two-week trial of the full version of Tableau Desktop or install the free Tableau Public instead.

Target audience: This workshop is especially designed for Tableau beginners.  Existing Tableau users may prefer to register for one of our more advanced workshops, or they may wish to get a refresher on Tableau by watching our previously-recorded workshops.  This boot camp will build on previous, shorter workshops and may involve some repetition for attendees or viewers of previous workshops.

VFF: Utilizing visuals and other content marketing strategies to effectively communicate research and innovation

Events - All Combined (Huginn Feed) - Fri, 2017-02-10 17:00
Fri, Feb 10, 2017
12:00 PM - 1:00 PM
LSRC D106
Strategies for telling and showcasing your research and innovation through graphic presentation ranging from illustrations, websites, animations to motion graphics. With such a wide range from white paper, presentations, to social media; explore the best ways of effectively communicating your research findings and innovation to stakeholders and the broader audience. Take complex concepts, difficult data, and muddled messages and transform them into accessible, memorable visual stories that can be easily understood by others.

Data Analysis with JMP Software

Events - All Combined (Huginn Feed) - Fri, 2017-02-10 15:00
Fri, Feb 10, 2017
10:00 AM - 11:30 AM
Bostock Library - The Edge Workshop RoomFirst Floor
A challenge in applied statistics courses is getting from concept to effective application. While most statistics software requires the user to memorize commands, or where techniques and graphics are located in menus, JMP® provides a smart interface that reinforces concepts and provides an intuitive framework for real-world data analysis. JMP includes comprehensive capabilities for statistical and graphical analysis of data for every academic field and most research needs. Easily perform basic statistics to the most complex analyses a PhD student may encounter. JMP runs on Windows and Macintosh operating systems and also functions as an easy, point-and-click interface to SAS®, R, MATLAB and Excel. JMP is visual and interactive. It drives you through the statistical analysis workflow using point, click, drag and drop. And then it displays results as statistics and multiple graphs in the same window. In addition to the diverse set of tools JMP provides for analysis, you can easily subset, join and manipulate data tables in numerous ways, build summary tables using drag-and-drop and create 3D and moving graphics to help understand and communicate the results of your analyses.

Data Analysis with JMP Software

Bostock 127 (The Edge Workshop Room)
West Campus

A challenge in applied statistics courses is getting from concept to effective application. While most statistics software requires the user to memorize commands, or where techniques and graphics are located in menus, JMP® provides a smart interface that reinforces concepts and provides an intuitive framework for real-world data analysis.

JMP includes comprehensive capabilities for statistical and graphical analysis of data for every academic field and most research needs. Easily perform basic statistics to the most complex analyses a PhD student may encounter. JMP runs on Windows and Macintosh operating systems and also functions as an easy, point-and-click interface to SAS®, R, MATLAB and Excel.

JMP is visual and interactive. It drives you through the statistical analysis workflow using point, click, drag and drop. And then it displays results as statistics and multiple graphs in the same window. In addition to the diverse set of tools JMP provides for analysis, you can easily subset, join and manipulate data tables in numerous ways, build summary tables using drag-and-drop and create 3D and moving graphics to help understand and communicate the results of your analyses.

General Agenda:

  • Navigating JMP and using its smart, graphical interface. 
  • Data visualization, including mapping, Graph Builder, data filters. 
  • Analyzing data in JMP: basic inference, ANOVA, regression, and multivariate analysis. Text Explorer.
  • JMP integration with SAS, MATLAB, R and Excel.
  • Other topics of interest (upon request), including design of experiments (DOE), quality, reliability/survival, data mining/predictive modeling, mixed models, repeated measures, bootstrapping, scripting, and time series.
  • New features in JMP 13 and JMP Pro 13:
    • New consumer research tools.
    • Local query builder and Excel import wizard.
    • Additional covariance structures for mixed models and repeated measures.
    • New generalized (penalized) regression models.
    • Deploying code to Python, C++, Javascript
    • Robust methods; missing data handling.
    • Instant output for interactive HTML reports and Dashboards.
  • Overview of available JMP academic resources.

Data Analysis with JMP Software

All Libcal Events (Huginn Feed) - Fri, 2017-02-10 15:00
Bostock 127 (The Edge Workshop Room)
West Campus

A challenge in applied statistics courses is getting from concept to effective application. While most statistics software requires the user to memorize commands, or where techniques and graphics are located in menus, JMP® provides a smart interface that reinforces concepts and provides an intuitive framework for real-world data analysis.

JMP includes comprehensive capabilities for statistical and graphical analysis of data for every academic field and most research needs. Easily perform basic statistics to the most complex analyses a PhD student may encounter. JMP runs on Windows and Macintosh operating systems and also functions as an easy, point-and-click interface to SAS®, R, MATLAB and Excel.

JMP is visual and interactive. It drives you through the statistical analysis workflow using point, click, drag and drop. And then it displays results as statistics and multiple graphs in the same window. In addition to the diverse set of tools JMP provides for analysis, you can easily subset, join and manipulate data tables in numerous ways, build summary tables using drag-and-drop and create 3D and moving graphics to help understand and communicate the results of your analyses.

General Agenda:

  • Navigating JMP and using its smart, graphical interface. 
  • Data visualization, including mapping, Graph Builder, data filters. 
  • Analyzing data in JMP: basic inference, ANOVA, regression, and multivariate analysis. Text Explorer.
  • JMP integration with SAS, MATLAB, R and Excel.
  • Other topics of interest (upon request), including design of experiments (DOE), quality, reliability/survival, data mining/predictive modeling, mixed models, repeated measures, bootstrapping, scripting, and time series.
  • New features in JMP 13 and JMP Pro 13:
    • New consumer research tools.
    • Local query builder and Excel import wizard.
    • Additional covariance structures for mixed models and repeated measures.
    • New generalized (penalized) regression models.
    • Deploying code to Python, C++, Javascript
    • Robust methods; missing data handling.
    • Instant output for interactive HTML reports and Dashboards.
  • Overview of available JMP academic resources.

CIT Open Office Hours

CIT Events Test - Thu, 2017-02-09 18:00
Bostock 024
West Campus

Want to change your syllabus? Need help creating an online discussion board? CIT consultants are available to discuss course design and instructional technology.  Come by to ask questions about active learning in class or how to think about teaching a new course. We can also answer questions about using Sakai, WordPress, and other Duke supported instructional technologies for teaching and learning. REGISTRATION IS NOT REQUIRED.

DVS Workshop: ggplot2 -- A learning series on R

Events - All Combined (Huginn Feed) - Thu, 2017-02-09 17:00
Thu, Feb 09, 2017
12:00 PM - 1:00 PM
None
This Spring the Data & Visualization Services Department will host a series of campus/community-oriented, informal sessions on the R programming language. Our goals is to promote a friendly environment for exploring the extensible capabilities of the R software environment specifically supported through R and RStudio. Beginner's are welcome, experts will be encourage to share topical expertise. How has R enabled your work? What else can R help you accomplish? Join us most Thursdays at noon in the Edge (Murthy Digital Studio). Bring your lunch (or not); cookies and juice will be provided.

R we having fun yet?! -- ggplot2 -- A learning series on R sponsored by DVS

All Libcal Events (Huginn Feed) - Thu, 2017-02-09 17:00
Bostock 121 (Murthy Digital Studio)
West Campus

This Spring the Data & Visualization Services Department will host a series of campus/community-oriented, informal sessions on the R programming language.  Our goals is to promote a friendly environment for exploring the extensible capabilities of the R software environment specifically supported through R and RStudio.  Beginner's are welcome, experts will be encourage to share topical expertise.  How has R enabled your work?  What else can R help you accomplish?  Join us most Thursdays at noon in the Edge (Murthy Digital Studio).  Bring your lunch (or not); cookies and juice will be provided.

 

Initial Meetings:

 

R we having run yet?! -- ggplot2 -- A learning series on R sponsored by DVS

All Libcal Events (Huginn Feed) - Thu, 2017-02-09 17:00
Bostock 121 (Murthy Digital Studio)
West Campus

This Spring the Data & Visualization Services Department will host a series of campus/community-oriented, informal sessions on the R programming language.  Our goals is to promote a friendly environment for exploring the extensible capabilities of the R software environment specifically supported through R and RStudio.  Beginner's are welcome, experts will be encourage to share topical expertise.  How has R enabled your work?  What else can R help you accomplish?  Join us most Thursdays at noon in the Edge (Murthy Digital Studio).  Bring your lunch (or not); cookies and juice will be provided.

 

Initial Meetings: