Category Archives: spatial humanities

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 

 

 

 

 

 

 

 

 

 

 

 

 

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

 

New Year- New Data and Visualization Lab!

Data and Visualization Services is happy to announce our new Data and Visualization Lab in Duke Libraries new Edge research space.  Located on the first floor of the Bostock Library, the Brandaleone Family Lab for Data and Visualization Services offers a dedicated space for researchers working on data driven projects.

The lab features three distinct areas for supporting data driven research.

Data and Visualization Lab Space

Data and Visualization Lab Computing Zone

Our lab space features twelve high end workstations with dual monitors with the latest software for data visualization, digital mapping, statistics, and qualitative research.  All of the machines have two dedicated displays to encourage collaborative work and data consultations.  Additionally, all twelve machines have a dedicated power port located conveniently under the edge of the table for powering a laptop or usb powered device.

Bloomberg Professional “Bar”

bloom

Since the launch of our Bloomberg terminals, we have seen a steady increase in both individual and team based usage of Bloomberg financial data.  Our three Bloomberg Professional workstations are now located on a dedicated “bar” across from our lab machines.  The  new Bloomberg zone will facilitate collaborate work and provide a base for groups such as the Duke University Investment Club and Duke Financial Economics Center.

Consult and Collaborative SpaceCollaboration Zone

Our third lab space provides a set of four rolling tables for small groups to collaborate or for projects that don’t require a fixed computing space.   An 85″ flat panel display near this zone features data visualizations and other data driven research projects at Duke.

Come See Us!

With ample natural light,  almost 24/7 availability, and a welcoming staff eager to work with you on your next data driven project.  We look forward to working with you in the upcoming year!

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

Announcing the 2014 Student Data Visualization Contest

Student Data Visualization ContestData & GIS Services will soon be accepting submissions to its 2nd annual student data visualization contest.  If you have a course project that involves visualization, start thinking about your submission now!

The purpose of the contest is to highlight outstanding student data visualization work at Duke University. Data & GIS Services wants to give you a chance to showcase the hard work that goes into your visualization projects.

Data visualization here is broadly defined, encompassing everything from charts and graphs to 3D models to maps to data art.  Data visualizations may be part of a larger research project or may be developed specifically to communicate a trend or phenomenon. Some are static images, while others may be animated simulations or interactive web experiences.  Browse through last year’s submissions to get an idea of the range of work that counts as visualization.

The Student Data Visualization Contest is sponsored by Data & GIS Services, Perkins Library, Scalable Computing Support Center, Office of Information Technology, and the Office of the Vice Provost for Research.

For more details, see the 2014 Student Data Visualization Contest page.   Please address all additional questions to Angela Zoss (angela.zoss@duke.edu), Data Visualization Coordinator, 226 Perkins Library.

What’s new in ArcGIS 10?

Basemaps

Would you like to add aerial photography or a topographic map underneath map layers for visual appeal or context? With ArcGIS 10, you can add a basemap to your map project.

A basemap is a link to an online imagery data source. You must be connected to the Internet in order to see a basemap.

Basemaps contain imagery at different levels of detail. When zooming in or out, new imagery will replace old imagery, which provides an approprate level of detail at any zoom level and improves performance by limiting the amount of information to be downloaded and displayed.

 

Export Map Packages

Sharing maps and shapefiles with others can be a pain when a map is composed of many shapefiles and layers.  A map package bundles all shapefiles, layers, and map documents into a single file that can be opened by others with ArcGIS 10.

 

Background Processing

In ArcGIS 10, ArcToolbox tools default to background processing.  This allows you to continue to work while the tool processes your data.

To disable background processing, navigate to the “Geoprocessing Options…” choice under the Geoprocessing Menu Bar, and uncheck the “Enable” box.

 

Search Toolbox Feature

Got a tool you want to use but can’t remember what toolbox its in?  With the Search feature, you can easily locate what you need. Your search term can be the tool name or a close approximation of what you wish to do.

 

Easy to Use Time Data

Time series data became easier to use with ArcGIS 10. Version 10 recognizes time series data with the addition of a single time field.

For example, suppose you have annual precipitation for US cities.  Your data will contain an ID field, a point field, a time field containing the year, and a field containing the precipitation amount.

For more information, see this blog post.

 

How Do I Label Individual Items?

Have you ever wanted to label individudal items on a map, and avoid the cluttered appearance of labels for all features, such as that shown to the right?

ArcGIS 10 hides the tool that you use to label individual items, but it’s easy to get back.

  1. Turn on the “Labeling” toolbar under the Customize Menu Bar.
  2. At the top right corner of the toolbar, click the arrow pointed downward and click “Customize…”
  3. Select the “Commands” tab and select the “Label” category (left panel).
  4. In the right panel, drag the “Label” tool and drop it into any toolbar that you wish.