A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring your questions. In this short, interactive workshop, we will cover basic GIS concepts using ArcGIS Online. We'll explore the interface, add and visualize data, run a quick analysis, and create and share a map. *Make sure … Read More
Creating interactive visualizations with Shiny in RStudio, and delivering Shiny visualizations on the web and hosting a Shiny server. Supplemental materials are available.
Most people can relate to and understand "where" when sharing information. In this short, interactive workshop, we will explore telling the story of your research using StoryMaps or another of the web applications that integrate work done in ArcGIS Online. Previous knowledge of geographic information systems (GIS) is not required. *Make sure to register for … Read More
This session introduces the R statistical software environment, basic methods of data analysis, and the "tidyverse." While R is much more than the tidyverse, the development of the tidyverse packages, led by RStudio, has provided a powerful and connected toolkit to get started using R. Note that graphics and data manipulation are covered in subsequent … Read More
Coding doesn’t have to be intimidating. Python is one of the easiest programming languages to learn, and it’s used everywhere, from apps to automation to data analysis. In this workshop, we’ll start with the basics, step by step, and show you how Python can be applied to everyday problems in a way that’s simple and … Read More
This workshop reviews statistical tests, regression, sampling and bootstrap methods, and more. The focus here is on implementing statistics using R, with a comparison to Python techniques for accomplishing similar tasks. Part of the Data Topics series of workshops. Workshop conducted via Zoom. Supplemental materials are available.
Most people can relate to and understand "where" when sharing information. In this short, interactive workshop, we will explore telling the story of your research using StoryMaps or another of the web applications that integrate work done in ArcGIS Online. Previous knowledge of geographic information systems (GIS) is not required. Make sure to register for … Read More
Some of the tidyverse's most powerful features are its abilities to import, filter, and otherwise manipulate data. This session reviews major packages within the tidyverse that relate to the essential data handling steps required before (and during) data analysis. Supplemental materials are available.
Once you’ve taken your first steps with Python, it’s time to do more. In this workshop, we’ll go further into how Python can help you work with information. You’ll learn how to handle collections of data, write simple reusable code, and explore how to pull meaning out of datasets. By working hands-on with examples, you’ll … Read More
Maintenance is usually scheduled for weekdays because it often involves coordination with university facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities, power, or telecommunications maintenance. When this happens, we will do our best to avoid adding to a month’s downtime with our … Read More
The ggplot2 package from the tidyverse provides extensive and flexible graphical capabilities within a consistent framework. This session introduces the main features of ggplot2. Some prior familiarity with R is assumed (packages, structure, syntax), but the presentation can be followed without this background. Supplemental materials are available.
A Geographic Information System, also known as GIS, can be a very useful tool for your research by incorporating location when exploring your questions. In this short, interactive workshop, we will focus on ArcGIS Pro basics, explore the interface, add and visualize data, create a map layout which we can either export as a PDF … Read More
Creating reproducible research, literate programming documents, and using knitr, Sweave, blogdown, and bookdown The RStudio environment enables the easy creation of documents in various formats (HTML, DOC, PDF) using Rmarkdown, while knitr allows the incorporation of executable R code to produce the tables and figures in those documents. Sweave provides more advanced LaTeX typesetting, while … Read More
This workshop introduces the core concepts of Python programming, including syntax, data types, loops, and functions. Participants will gain confidence in writing simple scripts and working with Python’s basic structures.
Artificial Intelligence is already part of your daily life, from smart assistants to content recommendations, but how can you use it for your own benefit? This beginner-friendly workshop explores free, web-based AI tools that help with writing, design, productivity, and more. You’ll experiment with different tools in real time and discover how AI can save … Read More
A Geographic Information System, also known as a GIS, can be a very useful tool for your research by incorporating location when exploring questions. In this short, interactive workshop, we will focus on the open-source geographic information system: QGIS3. We will explore the interface, add and visualize data, create a map layout, explore plugins and … Read More
Creating interactive visualizations with Shiny in RStudio and delivering Shiny visualizations on the web and hosting a Shiny server. Supplemental materials are available.
This workshop first reviews repositories for data publication such as Dataverse, ICPSR, OSF, Zenodo, and more. Then we turn to a detailed discussion of building R packages. R Packages are an excellent way to distribute collections of data and code. Following on the release of the 2nd edition of Hadley Wickham's R Packages book, this … Read More
This session focuses on using NumPy and pandas to handle and manipulate structured datasets. Participants will learn how to load, clean, and summarize data efficiently to prepare it for deeper analysis. Workshop conducted via Zoom. Register to receive the Zoom link with instructions on how to connect. Supplemental materials are available at https://libguides.rutgers.edu/datascience/python.