RStudio and Reproducible Research: Cleaning and Preparing Your Data

RStudio and Reproducible Research: Cleaning and Preparing Your Data 

June 10, 2020

1:00 PM -2:30 PM EDT 

Online

This session - designed for those interested in data analysis at any level – will give attendees an introduction and orientation to RStudio and reproducible research. Overviews will be given on how to read data from .csv’s/databases, join data sets, identify and clean missing data, explore data using a suite of static and interactive data visualizations, and build the exploratory data analysis in a reproducible format that can be shared with colleagues and easily updated. Additionally, mock giving data will be generated, cleaned, and visualized using tidyverse, rmarkdown, and other tools.

Advance registration is required. The link to join the session will be emailed 1-2 days in advance.

PRESENTER:

Richard Majerus, the vice president for planning and strategy at Queens University of Charlotte, leverages data, technology, partnerships and human capital to enhance the university’s revenue and efficiency. Majerus joined Queens in 2019 and leads the institutional research and human resource teams. His decade of higher education experience has ranged from serving as principal of a data science and strategy startup to assistant dean of admissions and assistant vice president of donor relations and advancement strategy. Majerus is a nationally recognized higher education data science and technology expert. He served as chair of OverDRIVE, the Association of Professional Researchers for Advancement’s data science conference and DRIVE, the Council for Advancement and Support of Education’s data science conference planning committee. A summa cum laude and Phi Beta Kappa graduate of Carleton College, Majerus earned his master’s in sociology from the University of Notre Dame.

COST:

$85 Members

$125 Non-Members