DVS Workshop: Visualization in R using ggplot2

All Libcal Events (Huginn Feed) - Mon, 2017-09-25 17:00
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 our Introduction to R workshop before attending this workshop on ggplot2.In this workshop, we will use RStudio for all exercises. You will need to bring your own laptop.
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DVS Workshop: Visualization in R using ggplot2

Events - All Combined (Huginn Feed) - Mon, 2017-09-25 17:00
Mon, Sep 25, 2017
1:00 PM - 3:00 PM
Bostock Library - The Edge Workshop RoomFirst Floor
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 our Introduction to R workshop before attending this workshop on ggplot2.In this workshop, we will use RStudio for all exercises. You will need to bring your own laptop.
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Visualization in R using ggplot2

All Libcal Events (Huginn Feed) - Mon, 2017-09-25 17:00
Bostock 127 (The Edge Workshop Room)
West Campus

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 our Introduction to R workshop before attending this workshop on ggplot2.

In this workshop, we will use RStudio for all exercises. You will need to bring your own laptop.  If you don't have RStudio installed, you may be able to use RStudio in a web browser by logging into the OIT Docker Containers site and selecting the RStudio container.  Email askdata@duke.edu if you have any trouble gaining access to RStudio, either by installing the software on your machine or by using the Docker container from the link above.

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SSRI~ Workshop: Using NVivo 11 for Qualitative Analysis of Text in the Windows Environment

All Libcal Events (Huginn Feed) - Thu, 2017-09-21 18:00
This workshop will introduce researchers to the basics of NVivo 11 Pro for Windows, a qualitative data analysis software. Participants will learn strategies for analyzing text-based data in NVivo, such as transcribed interviews and focus groups, documents, and literature. Topics will include how to import data, create nodes and code, tips for formatting transcriptions, and basic queries and visualizations. Although Mac users are welcome to attend, this workshop will not address using NVivo in the Mac environment. Registration required; please click "more information" to access the registration form.
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SSRI~ Workshop: Using NVivo 11 for Qualitative Analysis of Text in the Windows Environment

Events - All Combined (Huginn Feed) - Thu, 2017-09-21 18:00
Thu, Sep 21, 2017
2:00 PM - 4:00 PM
SSRI-Gross Hall 230E
This workshop will introduce researchers to the basics of NVivo 11 Pro for Windows, a qualitative data analysis software. Participants will learn strategies for analyzing text-based data in NVivo, such as transcribed interviews and focus groups, documents, and literature. Topics will include how to import data, create nodes and code, tips for formatting transcriptions, and basic queries and visualizations. Although Mac users are welcome to attend, this workshop will not address using NVivo in the Mac environment. Registration required; please click "more information" to access the registration form.

CIT Open Office Hours

CIT Events Test - Thu, 2017-09-21 17:00
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.

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SSRI~ Workshop: Qualitative Data Collection & Management

All Libcal Events (Huginn Feed) - Wed, 2017-09-20 18:00
This workshop provides an introduction to a range of qualitative research methods as well as an overview of the strengths and weaknesses of each approach. Qualitative research methods, including in-depth interviews, focus groups, archival analysis, and participant observation, vary considerably in the resources and time required to execute them reliably, and in the types of data they generate. Which data collection techniques are appropriate to which kinds of research questions and projects, and how do you execute these methods well? How are issues of reliability and validity considered and weighed in qualitative research? We will also explore different ways of managing your data prior to commencing data collection in order to facilitate the transition to data analysis. 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.
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SSRI~ Workshop: Qualitative Data Collection & Management

Events - All Combined (Huginn Feed) - Wed, 2017-09-20 18:00
Wed, Sep 20, 2017
2:00 PM - 4:00 PM
SSRI-Gross Hall 230E
This workshop provides an introduction to a range of qualitative research methods as well as an overview of the strengths and weaknesses of each approach. Qualitative research methods, including in-depth interviews, focus groups, archival analysis, and participant observation, vary considerably in the resources and time required to execute them reliably, and in the types of data they generate. Which data collection techniques are appropriate to which kinds of research questions and projects, and how do you execute these methods well? How are issues of reliability and validity considered and weighed in qualitative research? We will also explore different ways of managing your data prior to commencing data collection in order to facilitate the transition to data analysis. 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.

DVS Workshop: Introduction to Stata

All Libcal Events (Huginn Feed) - Wed, 2017-09-20 17:00
Stata for Research focuses on the core concepts of using Stata. This workshop provides a hands on overview of how to load, manage, and analyze data using Stata. The workshop will also include a brief introduction to Stata graphics as well. No previous experience with Stata is required.
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DVS Workshop: Introduction to Stata

Events - All Combined (Huginn Feed) - Wed, 2017-09-20 17:00
Wed, Sep 20, 2017
1:00 PM - 3:00 PM
Bostock Library 023(Library Classroom)
Stata for Research focuses on the core concepts of using Stata. This workshop provides a hands on overview of how to load, manage, and analyze data using Stata. The workshop will also include a brief introduction to Stata graphics as well. No previous experience with Stata is required.
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Introduction to Stata

All Libcal Events (Huginn Feed) - Wed, 2017-09-20 17:00
Bostock 023 Training Room
West Campus

 

Stata for Research focuses on the core concepts of using Stata. This workshop provides a hands on overview of how to load, manage, and analyze data using Stata. The workshop will also include a brief introduction to Stata graphics as well. No previous experience with Stata is required.

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CIT Open Office Hours

CIT Events Test - Wed, 2017-09-20 14:00
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.

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DVS Workshop: Data Visualization with Excel

All Libcal Events (Huginn Feed) - Wed, 2017-09-20 13:30
"For many basic charts and graphs, Excel is one of the easiest ways to create a data visualization. Figuring out how to get Excel to produce exactly the chart you want, however, can be a bit of a headache. In this workshop, we will learn how to create and modify many different charts within Excel, in addition to learning how PivotTables can help arrange the data in the best way for the chart we want.Note: this workshop focuses on the charting capabilities of Excel and starts from a beginning level. While some experience with Excel is encouraged, this is not an advanced Excel workshop.Recordings of additional Excel workshops:Basic Data Cleaning and Analysis for Data TablesAdvanced Excel for Data Projects"
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DVS Workshop: Data Visualization with Excel

Events - All Combined (Huginn Feed) - Wed, 2017-09-20 13:30
Wed, Sep 20, 2017
9:30 AM - 11:30 AM
Bostock Library 023(Library Classroom)
"For many basic charts and graphs, Excel is one of the easiest ways to create a data visualization. Figuring out how to get Excel to produce exactly the chart you want, however, can be a bit of a headache. In this workshop, we will learn how to create and modify many different charts within Excel, in addition to learning how PivotTables can help arrange the data in the best way for the chart we want.Note: this workshop focuses on the charting capabilities of Excel and starts from a beginning level. While some experience with Excel is encouraged, this is not an advanced Excel workshop.Recordings of additional Excel workshops:Basic Data Cleaning and Analysis for Data TablesAdvanced Excel for Data Projects"
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Data Visualization with Excel

All Libcal Events (Huginn Feed) - Wed, 2017-09-20 13:30
Bostock 023 Training Room
West Campus

For many basic charts and graphs, Excel is one of the easiest ways to create a data visualization.  Figuring out how to get Excel to produce exactly the chart you want, however, can be a bit of a headache.  In this workshop, we will learn how to create and modify many different charts within Excel, in addition to learning how PivotTables can help arrange the data in the best way for the chart we want.

Note: this workshop focuses on the charting capabilities of Excel and starts from a beginning level.  While some experience with Excel is encouraged, this is not an advanced Excel workshop.

Recordings of additional Excel workshops:

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DVS Workshop: Reproducibility: Data Management, Git, & RStudio

All Libcal Events (Huginn Feed) - Mon, 2017-09-18 17:30
"In response to a growing focus on the importance of reproducibility, replication, and transparency in the research endeavor, scholars are adapting their practices and learning new skills and tools. This workshop will introduce some general data management strategies that can increase the reproducibility of your work. You will also learn through hands-on exercises how to harness two specific tools, git and RStudio, to support the execution of more reproducible research projects. Git is a powerful version control system and RStudio is an open-source statistical software program. No previous experience with Git or R is required for this workshop. To fully participate in this workshop, please bring your own laptop."
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DVS Workshop: Reproducibility: Data Management, Git, & RStudio

Events - All Combined (Huginn Feed) - Mon, 2017-09-18 17:30
Mon, Sep 18, 2017
1:30 PM - 3:30 PM
Bostock Library - The Edge Workshop RoomFirst Floor
"In response to a growing focus on the importance of reproducibility, replication, and transparency in the research endeavor, scholars are adapting their practices and learning new skills and tools. This workshop will introduce some general data management strategies that can increase the reproducibility of your work. You will also learn through hands-on exercises how to harness two specific tools, git and RStudio, to support the execution of more reproducible research projects. Git is a powerful version control system and RStudio is an open-source statistical software program. No previous experience with Git or R is required for this workshop. To fully participate in this workshop, please bring your own laptop."
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Reproducibility: Data Management, Git, & RStudio

All Libcal Events (Huginn Feed) - Mon, 2017-09-18 17:30
Bostock 127 (The Edge Workshop Room)
West Campus

In response to a growing focus on the importance of reproducibility, replication, and transparency in the research endeavor, scholars are adapting their practices and learning new skills and tools. This workshop will introduce some general data management strategies that can increase the reproducibility of your work. You will also learn through hands-on exercises how to harness two specific tools, git and RStudio, to support the execution of more reproducible research projects. Git is a powerful version control system and RStudio is an open-source statistical software program. No previous experience with Git or R is required for this workshop.

 

To fully participate in this workshop, please bring your own laptop.

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SSRI~ Workshop: Planning Research and Collecting Data

All Libcal Events (Huginn Feed) - Thu, 2017-09-14 18:00
This workshop is designed for researchers who are planning to collect original data and considering how to select one or more methods for doing so. The workshop begins with a review of effective and clear research question formulation and proceeds to a discussion of the advantages and opportunities, as well as limitations of various data collection methods (and associated analytic techniques), including survey research, in-depth interviewing, ethnography, focus groups, and text analysis. In addition, the workshop will attend to logistical and theoretical considerations in implementing each of these research approaches. Registration required; please click "more information" to access the registration form.
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SSRI~ Workshop: Planning Research and Collecting Data

Events - All Combined (Huginn Feed) - Thu, 2017-09-14 18:00
Thu, Sep 14, 2017
2:00 PM - 4:00 PM
SSRI-Gross Hall 230E
This workshop is designed for researchers who are planning to collect original data and considering how to select one or more methods for doing so. The workshop begins with a review of effective and clear research question formulation and proceeds to a discussion of the advantages and opportunities, as well as limitations of various data collection methods (and associated analytic techniques), including survey research, in-depth interviewing, ethnography, focus groups, and text analysis. In addition, the workshop will attend to logistical and theoretical considerations in implementing each of these research approaches. Registration required; please click "more information" to access the registration form.