This workshop will consist of a beginner friendly introduction to the R programming language for data visualization. We will explore the pros & cons of using R and showcase examples & resources. Those with or without programming experience are encouraged to attend! Join us to learn more about visualizing data using the R programming language, so that you can visualize yourself as a future R user!
data visualization
Introduction to Data Visualization (Virtual Event)
Join us for a virtual Introduction to Data Visualization workshop. Put on by the Research Commons, this workshop will break down what data visualization is and why it is important. Examples, tips, tools, and resources will be shared, with the aim of enabling the participants to realize data visualization in their own lives. Join us to broaden your outlook on what data viz is and what it can do for you!
Data Entry and Program Management in REDCap (Webinar)
This level of training is appropriate for individuals who won’t have primary responsibility for designing forms, rather their role will be to enter and edit data. Also for project coordinators/ program managers who will oversee data collection.
Please click here to register. A calendar invite will be sent after registration. Slides will be distributed to all registered participants 12 hours before training time.
Introduction to Data Visualization in Python (Virtual Event)
This workshop will consist of a beginner friendly introduction to the Python programming language for data visualization. We will explore the pros & cons of using Python and showcase examples & resources. Those with or without programming experience are encouraged to attend! Join us to learn more about visualizing data using the Python programming language, so that you can visualize yourself as a future Python user!
Introduction to Data Visualization in R (Virtual Event)
This workshop will consist of a beginner friendly introduction to the R programming language for data visualization. We will explore the pros & cons of using R and showcase examples & resources. Those with or without programming experience are encouraged to attend! Join us to learn more about visualizing data using the R programming language, so that you can visualize yourself as a future R user!
Secondary Data Symposium 2023 (Online)
A symposium featuring faculty research supported by The Ohio State University Department of Biomedical Informatics, Center for Biostatistics, Secondary Data Core, curated for an audience of clinicians and researchers. Research professionals will present on their experience and overall expertise with using secondary data to answer important questions throughout multiple areas of study.
What does feminist data science look like? (Virtual Event)
As data are increasingly mobilized in the service of governments and corporations, their unequal conditions of production, their asymmetrical methods of application, and their unequal effects on both individuals and groups have become increasingly difficult for data scientists–and others who rely on data in their work–to ignore. But it is precisely this power that makes it worth asking: “Data science by whom? Data science for whom? Data science with whose interests in mind? These are some of the questions that emerge from what we call data feminism, a way of thinking about data science and its communication that is informed by the past several decades of intersectional feminist activism and critical thought.
Data Daze Monthly Forum: Visualization Deep Dive, Part 1 Workshop
With so many types of charts or graphs to choose from, how do you determine the most effective one to use to share your data? We will explore various families of charts – beyond the simple bar or line chart – that will allow you to compare categories, explore change over time, and examine distribution. We will also show you how to make these charts in Excel and Tableau.
Introduction to Causal Inference and Directed Acyclic Graphs (Virtual Event)
This presentation will discuss causal inference and directed acyclic graphs. Participants will learn the difference between description, prediction, and causal inference as three distinct scientific tasks requiring distinct scientific methods. Additionally, participants will understand the main features of causal directed acyclic graphs and how they can be used to plan and interpret causal analysis and appreciate some of the challenges and implications of using directed acyclic graphs in applied research.
QMC Spring 2023 Speaker Series: Presentation by Stephen Gavazzi (Zoom)
Friday, March 10, 12:00pm – 1:00pm: Dr. Stephen Gavazzi, Director, Center for Human Resource Research (CHRR)
Title: Data and Samples Available Through CHRR at The Ohio State University: The National Longitudinal Studies, Ohio Longitudinal Data Archive, and the American Population Panel
Stephen M. Gavazzi, Ph.D. is Director of CHRR at The Ohio State University, as well as a professor in the College of Education and Human Ecology at Ohio State. Dr. Gavazzi is responsible for the overall operations of CHRR, which serves as Ohio State’s center for data and survey excellence. His areas of expertise include a variety of topics within human development and family science (he is a trained marriage and family therapist), with a special emphasis on matters concerning families with adolescents. Professor Gavazzi also has a strong interest in issues surrounding higher education, including leadership, campus-community relationships, and the mission of land-grant universities. His latest book (What’s Public About Public Higher Ed? published in 2021 by Johns Hopkins University Press) was based on survey data collected using CHRR’s American Population Panel.
About CHRR
CHRR at The Ohio State University supports two large longitudinal databases – the National Longitudinal Studies (NLS) and the Ohio Longitudinal Data Archive (OLDA) – as well as housing the American Population Panel (APP), a group of 45,000+ volunteer members who have agreed to participate in social science and health related studies for research purposes. CHRR Director Steve Gavazzi will present information on these databases and related research tools that are available to researchers and policymakers through Ohio State’s center for survey and data excellence.
Learn more about Dr. Gavazzi by visiting his OSU directory page, as well as his CHRR page.