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: 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.

Love Your Data Week, Feb. 13-17

Blogs Featured Posts (non-pipes) - Mon, 2017-02-13 11:00

An international event aimed at helping researchers take better care of their data

Love Your Data Week, Feb. 13-17

Bogs Featured (for Marine) - Mon, 2017-02-13 11:00

An international event aimed at helping researchers take better care of their data

Analytical and variational numerical methods for unstable miscible displacement flows in porous media

Scopus Query (for science portal) - Sat, 2017-02-11 06:11
Author(s):Scovazzi, G. | Wheeler, M.F. | Mikelić, A. | Lee, S.<br>Publication year: 2017<br>Journal / Book title: Journal of Computational Physics<br><br>Access <a href="https://www.scopus.com/results/results.url?sort=plf-f&src=s&nlo=1&nlr=20&nls=&affilName=duke&sid=50C4CC75DD91BE54EF957326B03AC936.WeLimyRvBMk2ky9SFKc8Q%3a330&sot=afnl&sdt=cl&cluster=scopubyr%2c%222016%22%2ct%2c%222015%22%2ct%2bscosubtype%2c%22ar%22%2ct%2c%22ip%22%2ct%2c%22re%22%2ct%2c%22ch%22%2ct%2bscosubjabbr%2c%22ARTS%22%2cf%2c%22ECON%22%2cf%2c%22BUSI%22%2cf&sl=207&s=%28AF-ID%28%22Duke+University%22+60008724%29+OR+AF-ID%28%22P.M.+Gross+Chemical+Laboratory%22+60019814%29+OR+AF-ID%28%22Duke+University+Marine+Laboratory%22+60020096%29+OR+AF-ID%28%22Duke+Institute+for+Genome+Sciences+%26+Policy%22+60076653%29%29&origin=rssreader">all results</a> for your search in Scopus<br>

508 Update, Update

Bitstreams - Fri, 2017-02-10 20:39

A little more than a year ago, I wrote about the proposed update to the 508 accessibility standards. And about three weeks ago, the US Access Board published the final rule that contains updates to the 508 accessibility requirements for Information and Communication Technology (ICT). The rules had not previously been updated since 2001 and … Continue reading 508 Update, Update

The post 508 Update, Update appeared first on Bitstreams: The Digital Collections Blog.

Symposium on Race & Transgender Studies

All Libcal Events (Huginn Feed) - Fri, 2017-02-10 20:00
Other (see event description)
East Campus

Location: Ahmadieh Family Lecture Hall (formerly the Garage)- Smith Warehouse, Bay 4

Speakers include Marcia Ochoa (UC-Santa Cruz), Kai Green (UC Santa Barbara), C. Riley Snorton (Cornell); Moderated by Tommy DeFrantz (Duke). Co-Sponsored by Humanities Futures initiative @ the Franklin Humanities Institute, Program in Latino/a Studies in the Global South, the Program in Gender, Sexuality and Feminist Studies at Duke University, Sallie Bingham Center for Women's History and Culture, and Cultural Anthropology.

More info and optional Facebook RSVP

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.

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.

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.

Quick Pic: Year of the Rooster

Preservation Underground - Fri, 2017-02-10 15:15

Charles Bailey Reed Scrapbook Cover

Readers who celebrated Chinese New Year just a few weeks ago will know that 2017 is the Year of the Rooster. Fittingly, this wonderful painted scrapbook from the Charles Bailey Reed Collection recently came into the lab. Reed served as a radiologist in the U.S. Medical Reserve Corps in France during World War I.  This scrapbook contains postcards, newspaper articles, photographs, and other ephemera from various cities in France, dated between 1914 and 1924. I just really love the image of the rooster crowing atop a discarded Pickelhaube, signalling the return to regular life after the war.

The post Quick Pic: Year of the Rooster appeared first on Preservation Underground.

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.

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.

This Valentine’s Day, Go on a Blind Date with a Book!

Blogs Featured Posts (non-pipes) - Fri, 2017-02-10 11:00

Take home a one-night stand for your nightstand.

This Valentine’s Day, Go on a Blind Date with a Book!

Bogs Featured (for Marine) - Fri, 2017-02-10 11:00

Take home a one-night stand for your nightstand.

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.

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 127 (The Edge Workshop Room)
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, Workshop Room.  Bring your lunch (or not); cookies and juice will be provided.

 

Initial Meetings:

 

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.

Book Collecting Contest Deadline: Feb. 14

Blogs Featured Posts (non-pipes) - Thu, 2017-02-09 15:02

Submit your entry for a chance to win $1,000!