Introduction to R for Absolute Beginners
R is an open source software for statistical computing and graphics. This Introduction to R workshop is for people who want to learn this data analysis tool but have little or no experience in any programming languages. The first half of this 3-hour workshop will focus on some basic concepts of coding and the second half will have several hands-on activities to learn basic R skills, such as installing R packages, importing and exploring data. Some troubleshooting tips and R resources will be provided at the end of this workshop.
Maps have always been a way to tell stories about people, places, and their interaction on the surface of the earth. In this session we you?ll learn to use Story Maps, an ArcGIS Online application, to bring your research story alive. In this hands-on session, you?ll integrate maps, text, scanned documents and videos. You’ll have the opportunity to share your resulting Story Map with any group or individual you choose or keep it to yourself for later work.
Attendees will learn how to search, find, and share geographic content using Johns Hopkins ArcGIS Online Organization account. This class will provide the fundamental skills necessary to create, design, and share web maps, as well as use some of the various geoprocessing tools currently offered via the online application.
No prerequisites. Are you interested in learning how to code but don’t know where to start? Learning to code can be a daunting task if you have no background in computer science or related fields. Join JHU Data Services for this workshop to learn about coding terminology and concepts, and to jump start your journey into coding. We will provide troubleshooting tips and resources for further learning. If you plan to take any other coding workshops/courses and have no prior knowledge, then this workshop is the one for you.
Registration link: https://jhu.libcal.com/event/7498469
Prerequisite: Introduction to R for Absolute Beginners or some experience using R. You’ve cleaned and analyzed your data, now learn how to visualize it. Visualizing data is critical for both understanding the meaning and patterns hidden in your data, and communicating it to an audience. This workshop by JHU Data Services serves as an introduction to using R’s data visualization tools and techniques. In this hands-on session, we’ll cover design concepts of data visualization and popular R packages, before diving into creating data visualizations for a prepared dataset using base R and ggplot2. Some prior experience in R is required.
Registration link: https://jhu.libcal.com/event/7498549
Prerequisite: Data Visualization in R or moderate experience using R. Are you interested in exploring and understanding your data? Would you like to communicate your R analysis in an easy to use, interactive way? Shiny is an R package that makes it simple to build and share web applications for the purpose of visualizing and communicating your data interactively. Join JHU Data Services for a workshop introducing the Shiny package in R for developing and sharing interactive data visualizations. In this two-part hands-on session, we’ll cover design concepts of interactive data visualizations and build a Shiny web app from scratch using a prepared dataset. Some prior experience in R is required.
Registration link: https://jhu.libcal.com/event/7474435
Effectively Managing and Sharing Research Data in Spreadsheets
Regardless of discipline studied or methods used, it is likely that researchers use some sort of spreadsheet application (e.g. Excel) to investigate, manipulate, or share research data. Though easy to exchange with other researchers, difficulties can arise when using other researchers’ spreadsheet data when sharing and preservation are not adequately considered.
Join Data Services for a free session on Effectively Managing and Sharing Research Data in Spreadsheets. During this one hour session we will cover spreadsheet practices that can a) increase the possibility research data contained in spreadsheets can be re-used by others (and you) in the future, and b) help to reduce the chance of error when using spreadsheets for data acquisition.
8 modules, with 60 mins lectures and 60 mins demos. Delivered via Blackboard.
Contact us to request a past workshop.
Introduction to Network Analysis: Basic Concepts, Applications, and Tools
What comes to mind when you hear the term network? The Internet? Facebook? Multiple computers sharing information? What if I told you there was a whole realm of scholarship where researchers explore the patterns of interaction in and among networks in their many forms? Network analysis is a research method that scholars in disciplines from public health, to business, to sociology and etc. use to explore and visualize relationships between objects, entities, or people. In this workshop we will take an introductory look at this concept and the basic underlying components of the method as well as discuss some ways that researchers are currently using the method. We’ll also identify types of online tools and software, discuss how to choose the best option for you, and construct a basic data set in excel. Finally, time permitting we will have a short demo of a network analysis visualization tool. This is a basic introduction, no prior experience is necessary. Attendees may wish to bring a laptop to follow along.