001: Automation of Personalized Reports: Effective Communication Through Data Visualization

This poster discusses the automation of customized reports using R Markdown to efficiently provide accurate, visually appealing data summaries to stakeholders. As statistics and data science skills become more desirable in the workforce, an impactful college-level statistics education becomes more crucial. Studies show that student attitudes toward statistics are an important factor relating to student learning in statistics courses. The NSF-funded MASDER research team developed the S-SOMAS survey to measure such attitudes in 5166 students nationally in the 2021-22 academic year. Each participating instructor receives a customized report with student demographic and attitudinal summaries for their particular class, along with a comparison to the national sample. While generating statistical summaries via RMarkdown is straightforward, automation is a more complex process that allows reports to be generated as soon as a class completes the survey, rather than waiting on a statistician to manually clean data and create a report. The poster will discuss the report development process, as well as particular design choices that make the automation successful and visually appealing.

Statistics

Statistics tools

R Stuido

R Markdown

Undergraduate Research

Reproducable Statistics 

Effective Communication

Conference on Statistical Practice (CSP) 2023