Topic: Programming

February 13-17 is International Love Data Week 2023, a week-long celebration highlighting the importance of research data management, sharing, preservation, and reuse. The NIH Library loves data and is celebrating all February (and March, too!) with data classes, resources, services, and even a new subject guide. This session will focus on data wrangling using the tidyverse package. After a short demo, participants will break into groups to work on a mini-challenge. Participants must install R, RStudio, and the tidyverse package before this session so they can follow along with the instructor and participate in the breakout rooms.

February 13-17 is International Love Data Week 2023, a week-long celebration highlighting the importance of research data management, sharing, preservation, and reuse. The NIH Library loves data and is celebrating all February (and March, too!) with data classes, resources, services, and even a new subject guide. This session will focus on making a plot using ggplot. ggplot is a part of the tidyverse, a collection of R packages designed for data science. After a short demo, participants will break into groups to work on a mini-challenge. Participants must install R, RStudio, and the tidyverse package before this session so they can follow along with the instructor and participate in the breakout rooms.

This class focuses on data and project management using R and RStudio. RStudio makes it possible to work on a complete research project in a more efficient, integrated, and organized manner. This intermediate-level class is designed to be relevant to participants from different disciplines. Some familiarity or experience in R and RStudio is recommended. Participants are encouraged to install R and RStudio before the class.

This class focuses on using Git and GitHub, with RStudio.  Using integrated RStudio tools, learners will have a chance to experiment with this integration and understand its advantages for collaboration and version control. This intermediate-level class is designed to be relevant to participants from different disciplines. Some familiarity or experience in R and RStudio is recommended. Participants are encouraged to install R and RStudio before the class.  Participants will need to download the class data before the class.

Python is a programming language used for data science, specifically: data analysis, statistical analysis, and visualization of results. This class will demonstrate integrated development and learning (IDE) platforms for learning Python, the fundamentals of Python coding, and why it is advantageous to develop these skills.  The session will feature the following IDEs: Google Colaboratory: Jupyter Notebook; and Anaconda’s: Spyder, Jupyter Notebook, and JupyterLab.  It will also provide an overview of programming constructs needed to learn Python. Finally, this class will demonstrate why these skills can boost productivity, rigor, and transparency in reporting research findings.

This class is designed for those who want to learn the basic of R Markdown and apply those skills in Quarto. Quarto is an open-source scientific and technical publishing system that offers multilingual programming language support to create dynamic and static documents, books, presentations, blogs, and other online resources.  In this intermediate-level class participants will learn the basics of creating markdown documents. Some familiarity or experience in R and RStudio is recommended. Participants are encouraged to install R and RStudio before the class.

This class is designed for those who want to extend the basics of R Markdown and apply those skills in Quarto. Quarto is an open-source scientific and technical publishing system that offers multilingual programming language support to create dynamic and static documents, books, presentations, blogs, and other online resources. In this intermediate-level class, participants will learn how to render documents in multiple format, and format citations and bibliographies using Zotero. Zotero is a free, easy-to-use tool to help collect, organize, annotate, cite, and share research. Some familiarity or experience in R and RStudio is recommended. Participants are encouraged to install R and RStudio before the class.

This class provides a basic overview of creating plots using ggplot. ggplot is a part of the Tidyverse, a collection of R packages designed for data science. This class will focus on identifying the appropriate packages for plotting, defining plot aesthetics, and demonstrating how to add layers to ggplot graphs. Participants are encouraged to install R, RStudio, and the tidyverse package, before the class.

This advanced class provides an overview of options for customizing a ggplot graph. This class will focus on methods for creating small multiples, options for customizing a graph, and how to apply ggplot themes. Participants are encouraged to install R, RStudio, and the tidyverse package, before the class.