Subscribe to All Libcal Events (Huginn Feed) feed
This is a combined feed of all CIT and Library events
Updated: 20 hours 2 min ago

Mapping with R

Wed, 2020-02-12 18:00
Bostock 023 Training Room
West Campus

R has become a popular and reproducible option for supporting spatial and statistical analysis. This hands-on workshop will demonstrate how to plot x/y coordinates; how to generate thematic chloropleths with US Census and other federal data; import GIS shapefiles; and create interactive maps on the web. The focus will be on mapping (making a visual). Please see the schedule for related workshops the following week: one that focuses on geospatial analysis using R, and one that showcases some of the analysis that you can do with programmic tools such as R and Python.

Prerequisites

NOTE:  If you bring your laptop, you may optionally follow steps below to prepare (although R & RStudio are installed on lab computers).

  1. Use a cloud version of R, or install R & RStudio in advance (instructions)
  2. Install the tidyverse, tidycensus, tigris, and sf packages in advance (instructions)

The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience  participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.

event image

Deconstructing Digital Scholarship (RCR Workshop)

Wed, 2020-02-12 15:00
Bostock 127 (The Edge Workshop Room)
West Campus

This workshop will help graduate students across the disciplines, but primarily in the humanities and social sciences, evaluate digital scholarly publications on the web.  Students will acquire skills that will allow them to evaluate scholarly aspects of digital scholarly publications, appropriately cite those publications in their work, and understand how to credit the work of other contributors in their own digital works.  Students will explore digital scholarly publications through hands-on activities and discuss and reflect on best practices.  This workshop will be led by Liz Milewicz, co-director of the ScholarWorks Center, and Arianne Hartsell-Gundy, Head of the Humanities Section at Duke University Libraries.

event image

Open Studio (ScholarWorks)

Tue, 2020-02-11 18:30
Bostock 121 (Murthy Digital Studio)
West Campus

Make an appointment or just drop-in during Open Studio hours, to consult with staff of ScholarWorks, A Center for Scholarly Publishing at Duke University Libraries. We can help you to

  • plan and create a digital publication
  • build adience engagement and impact
  • improve discovery and use
  • sustain a digital publication
  • integrate data publishing
  • and other aspects of expanding the potential for your scholarly work

Visit ScholarWorks.duke.edu for more examples of the kinds of questions we can answer as well as for resources you can use now. You can also contact scholarworks@duke.edu with your questions or ideas and we'll put you in contact with the appropriate person to help. 

event image

CDVS Workshop: R Open Lab: semi-structured opportunities for learning R

Mon, 2020-02-10 23:00
Bostock Library - The Edge Workshop Room
First Floor
Come once or come each week: This six-week, semi-guided hour provides a safe and comfortable environment for learning more about the R programming language, RStudio, and the Tidyverse. The curriculum is based on the Master the Tidyverse workshop. The series goal is to enable researchers and students a low-stress hour to hone your own data savvy skills. Attendees will gain greater familiarity with a tool-suite designed to foster reproducibility and transparency vital for the researcher's workflow.
event image

R Open Lab: semi-structured opportunities for learning R

Mon, 2020-02-10 23:00
Bostock 127 (The Edge Workshop Room)
West Campus

Part of the Rfun learning series

Come once or come each week:  This six-week, semi-guided hour provides a safe and comfortable environment for learning more about the R programming language, RStudio, and the Tidyverse.  The curriculum is based on the Master the Tidyverse workshop.  The series goal is to enable researchers and students a low-stress hour to hone your own data savvy skills.  Attendees will gain greater familiarity with a tool-suite designed to foster reproducibility and transparency vital for the researcher's workflow.

In the first meeting we will introduce R, RStudio and the Tidyverse as well as outline several self-directed learning resources (below).  Follow and join any of the the remining weekly sessions.  Each week covers a new topic in the Master the Tidyverse series. Reinforcement is on-your-own through self-directed resources.  Assignments are optional.  Intermediate and advanced users will, optionally, design your own curriculum and benefit from interacting and supporting a helpful network of campus R users.  

Event Dates are all on Mondays:  Jan. 13, Feb. 3, Feb. 10, Feb. 17, Feb. 24, March 2.  

See our FAQ for more information.

NOTE:  Bring your laptop.  The Edge Workshop Room does not provide computers.

NOTE 2:  If you need help configuring your laptop for this workshop, come to the DVS Walk-In Hours before the workshop:  Wednesdays between 1-3pm.  (Floor Map for Bostock Library > 1st Floor > Brandaleone Lab for Data and Visualization Services.)

event image

VFF: From Page to Text to Data

Fri, 2020-02-07 17:00
LSRC D106
A page - whether from a manuscript or in printed form - has more information than its text. How can this information be thought about for quantification and visualization? Visualization of knowledge has deep roots in the practices of the High Middle Ages and the Renaissance, where forms of visualization and page organization could be as contentious as the conceptual "content" they represented. In this talk, I will focus on the problem of extracting "data" from pre-modern works for visualization and analysis. I am particularly concerned with how humanistic analysis can be thoughtful about the "datafication" of narrative without shying away from the insight that can be gained from visualizations.
event image

Visualization Friday Forum

Fri, 2020-02-07 17:00
LSRC D106
The Visualization Friday Forum seminar series is a forum for faculty, staff and students from across the university (and beyond Duke) to share their research involving the development and/or application of visualization methodologies. Our goal is to build an interdisciplinary community of visualization experts whose combined knowledge can facilitate research and promote innovation. Anyone is welcome to attend.
event image

CDVS Workshop: Paper Maps for Digital Projects

Thu, 2020-02-06 18:00
Bostock Library 023
(Library Classroom)
Do you want to incorporate paper maps into a digital project? Overlaying scanned maps can help illustrate change over time, offer additional context, provide a visually appropriate background, and give access to spatial data not available in other formats. This workshop will teach you how to bring paper maps into modern GIS applications. We will cover concepts and techniques related to georeferencing, the process of aligning map images with the correct locations on the earth. We will also create new GIS data by extracting features from scanned maps. Tutorials will present steps in several desktop and web-based tools. In addition to learning the software, we will discuss some challenges of working with historical maps.
event image

Paper Maps for Digital Projects

Thu, 2020-02-06 18:00
Bostock 023 Training Room
West Campus

Do you want to incorporate paper maps into a digital project? Overlaying scanned maps can help illustrate change over time, offer additional context, provide a visually appropriate background, and give access to spatial data not available in other formats.

This workshop will teach you how to bring paper maps into modern GIS applications. We will cover concepts and techniques related to georeferencing, the process of aligning map images with the correct locations on the earth. We will also create new GIS data by extracting features from scanned maps. Tutorials will present steps in several desktop and web-based tools. In addition to learning the software, we will discuss some challenges of working with historical maps.

Prior experience with desktop GIS software is helpful but not required. If you have no experience with GIS, we encourage you to attend Introduction to ArcGIS Pro or QGIS prior to this workshop.

The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience  participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.

event image

Digital Brown Bag | "Why Don't You Just Make a Map?" When Digital Projects are Part of the Writing Process

Wed, 2020-02-05 17:00
Bostock 121 (Murthy Digital Studio)
West Campus

Just make a map. Seems simple enough, right? That’s what Ashton Merck thought when, while writing her third dissertation chapter, she decided to create a series of maps and charts in an attempt to answer two of her research questions. And then the resulting visualizations changed the argument of her chapter.

In this Digital Brown Bag talk Ashton (History doctoral candidate) describes the work involved in this deceptively simple data visualization project as a jumping-off point for a bigger conversation about the possibilities and pitfalls associated with constructing original datasets as part of a larger project, or even as part of the research and writing process. What happens when seemingly simple research questions get out of hand? How will you know whether the labor of gathering the information will even be worth it in the end? When and how should you make peace with your “messy,” incomplete data? What are the limits of OCR and automation in constructing datasets? And will anyone accept your findings as valid?

event image

Digital Brown Bag

Wed, 2020-02-05 17:00
Bostock 121 (Murthy Digital Studio)
West Campus

[specific event information forthcoming]

event image

Open Studio (ScholarWorks)

Tue, 2020-02-04 18:30
Bostock 121 (Murthy Digital Studio)
West Campus

Make an appointment or just drop-in during Open Studio hours, to consult with staff of ScholarWorks, A Center for Scholarly Publishing at Duke University Libraries. We can help you to

  • plan and create a digital publication
  • build adience engagement and impact
  • improve discovery and use
  • sustain a digital publication
  • integrate data publishing
  • and other aspects of expanding the potential for your scholarly work

Visit ScholarWorks.duke.edu for more examples of the kinds of questions we can answer as well as for resources you can use now. You can also contact scholarworks@duke.edu with your questions or ideas and we'll put you in contact with the appropriate person to help. 

event image

CDVS Workshop: Python for Data Science: Pandas 102

Tue, 2020-02-04 15:00
Bostock Library 023
(Library Classroom)
Python can be a great option for exploration, analysis and visualization of tabular data, such as spreadsheets and CSV files, if you know which tools to use and how to get started. This workshop will take you through some practical examples of using Python and specifically the Pandas module to load data from files and transform it into a standard "tidy" format, so it's ready to analyze and visualize. You will also get some experience working in JupyterLab, the exciting new flexible programming environment which contain Jupyter Notebooks, a file browser, and more.
event image

Python for Data Science: Pandas 102

Tue, 2020-02-04 15:00
Bostock 023 Training Room
West Campus

Python can be a great option for exploration, analysis and visualization of tabular data, such as spreadsheets and CSV files, if you know which tools to use and how to get started. This workshop will take you through some practical examples of using Python and specifically the Pandas module to load data from files and transform it into a standard “tidy” format, so it's ready to analyze and visualize. You will also get some experience working in JupyterLab, the exciting new flexible programming environment which contain Jupyter Notebooks, a file browser, and more.

This workshop builds upon, and is a continuation of, the very basic Pandas workshop I gave last semester (Fall 2019):

  • While none of the content will be very advanced, if you don't have any programming experience, or you have never used Python at all before, the material may be too confusing to be useful – I won't be teaching the language itself. 
  • If you have at least a tiny bit of Python exposure, but haven't used Pandas much or at all, I would advise watching last semester's Intro to Pandas video before you attend.

The classroom in which this is held has Windows computers with Python and Pandas installed, so you don't need to bring a laptop.

The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience  participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.

 

event image

CDVS Workshop: R Open Lab: semi-structured opportunities for learning R

Mon, 2020-02-03 23:00
Bostock Library - The Edge Workshop Room
First Floor
Come once or come each week: This six-week, semi-guided hour provides a safe and comfortable environment for learning more about the R programming language, RStudio, and the Tidyverse. The curriculum is based on the Master the Tidyverse workshop. The series goal is to enable researchers and students a low-stress hour to hone your own data savvy skills. Attendees will gain greater familiarity with a tool-suite designed to foster reproducibility and transparency vital for the researcher's workflow.
event image

R Open Lab: semi-structured opportunities for learning R

Mon, 2020-02-03 23:00
Bostock 127 (The Edge Workshop Room)
West Campus

Part of the Rfun learning series

Come once or come each week:  This six-week, semi-guided hour provides a safe and comfortable environment for learning more about the R programming language, RStudio, and the Tidyverse.  The curriculum is based on the Master the Tidyverse workshop.  The series goal is to enable researchers and students a low-stress hour to hone your own data savvy skills.  Attendees will gain greater familiarity with a tool-suite designed to foster reproducibility and transparency vital for the researcher's workflow.

In the first meeting we will introduce R, RStudio and the Tidyverse as well as outline several self-directed learning resources (below).  Follow and join any of the the remining weekly sessions.  Each week covers a new topic in the Master the Tidyverse series. Reinforcement is on-your-own through self-directed resources.  Assignments are optional.  Intermediate and advanced users will, optionally, design your own curriculum and benefit from interacting and supporting a helpful network of campus R users.  

Event Dates are all on Mondays:  Jan. 13, Feb. 3, Feb. 10, Feb. 17, Feb. 24, March 2.  

See our FAQ for more information.

NOTE:  Bring your laptop.  The Edge Workshop Room does not provide computers.

NOTE 2:  If you need help configuring your laptop for this workshop, come to the DVS Walk-In Hours before the workshop:  Wednesdays between 1-3pm.  (Floor Map for Bostock Library > 1st Floor > Brandaleone Lab for Data and Visualization Services.)

event image

NSSD Episode 100 (2020 RStudio Conference Livestream)

Fri, 2020-01-31 00:00
Bostock 127 (The Edge Workshop Room)
West Campus

Join your Duke colleagues to watch a live stream of the 2020 Rstudio Conference featuring a keynote by Roger Peng (Professor of Biostatistics at Johns Hopkins Bloomberg School of Public Health) and Hillary Parker (Data Scientist at Stitch Fix)

Keynote Abstract:
In episode 100 of Not So Standard Deviations, the first ever episode prepared in advance, Hilary and Roger discuss creativity, its role in data science, and how it can be fostered through conversation.

Full Details on the Duke RStudio Conference 2020 Livestream

event image

CDVS Workshop: Visualization in R using ggplot2

Thu, 2020-01-30 18:00
Bostock Library 023
(Library Classroom)
Data science skills are increasingly important for research and industry projects. With complex data science projects, however, come complex needs for understanding and communicating analysis processes and results. Ultimately, an analyst's data science toolbox is incomplete without visualization skills. Incorporating effective visualizations directly into the analysis tool you are using can facilitate quick data exploration, streamline your research process, and improve the reproducibility of your research. n this workshop we will focus on ggplot2, a library for R that creates clear and well-designed visualizations and that plays well with other tidyverse packages. While prior experience with ggplot2 and with other tidyverse packages is not required, some basic familiarity with R is expected. Please consider attending (or viewing a recording of) our Introduction to R workshop before attending this workshop on ggplot2.
event image

Visualization in R using ggplot2

Thu, 2020-01-30 18:00
Bostock 023 Training Room
West Campus

Part of the Rfun learning series

Data science skills are increasingly important for research and industry projects.  With complex data science projects, however, come complex needs for understanding and communicating analysis processes and results.  Ultimately, an analyst's data science toolbox is incomplete without visualization skills.  Incorporating effective visualizations directly into the analysis tool you are using can facilitate quick data exploration, streamline your research process, and improve the reproducibility of your research.

In this workshop we will focus on ggplot2, a library for R that creates clear and well-designed visualizations and that plays well with other tidyverse packages. While prior experience with ggplot2 and with other tidyverse packages is not required, some basic familiarity with R is expected.  Please consider attending (or viewing a recording of) our Introduction to R workshop before attending this workshop on ggplot2.

In this workshop, we will use RStudio and RMarkdown files for all exercises. You may use the in-room computers, but if you prefer to bring your own laptop, but please make sure you come with RStudio and the tidyverse package installed.  You may also want to install the knitr package to be able to compile the entire Rmarkdown file.  A previous version of this workshop has been recorded, and the associated files are available on GitHub.

Please note: this classroom has a limited number of seats. If you choose to register for the workshop, please make every effort to attend, or if you cannot, please cancel your registration as soon as a conflict comes up. If all spots fill up, we will maintain a waitlist in the event of cancelations.  If you can't attend but would like to be notified when a recording is available, please contact Angela Zoss.

The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience  participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.

event image

Object of type ‘closure’ is not subsettable (2020 RStudio Conference Livestream)

Thu, 2020-01-30 17:00
Bostock 127 (The Edge Workshop Room)
West Campus

Join your Duke colleagues to watch a live stream of the 2020 Rstudio Conference featuring a keynote by Jenny Bryan (Software Engineer, RStudio). Lunch will provided at 11:30 for those who register.

Keynote Abstract:
Your first “object of type ‘closure’ is not subsettable” error message is a big milestone for an R user. Congratulations, if there was any lingering doubt, you now know that you are officially programming! Programming involves considerably more troubleshooting and debugging than many of us expected (or signed up for). The ability to solve your own problems is an incredibly powerful stealth skill that is worth cultivating with intention. This talk will help you nurture your inner problem solver, covering both general debugging methods and specific ways to implement them in the R ecosystem.

Full Details on the Duke RStudio Conference 2020 Livestream

event image