Interactive Visualization

Interactive visualization is becoming a more prominent feature of reporting. Business analytics packages tend to stress the ease eith which data can be played with by non-experts. Allowing students to explore aspects of complex data rather than simply telling them what you see can be a powerful tool for learning as explored in the readings. Within the RStudio universe this functionality is accomplished through the Shiny ecosystem. A web-app designing interface that allows web-apps to be built from within R with limited knowledge of javascript or html.

Goals

• Be familiar with the ways that data visualization can aid student learning
• Understand the structure of a Shiny App
• Be able to build a basic Shiny App to run locally on your machine
• Be able to explore interactive functionality within a Shiny App to convey a message about data

Completed Tasks

I built a couple of basic Shiny Apps.

• Histogram
  

• Ggplot Histogram

I then used the class mid-term data to create an interactive visualization that launches to the internet.

• My Shiny App

Resources

Ng, J. (2018). 2 Min Intro to Shiny

CBMI WUSM. (2016). Hands on Shiny Dashboard.

Dhankar, R. (2015). HR Attrition Dashboard - Shiny and ggplot2

Shiny Apps Documentation

Verbert, K., Duval, E., Klerkx, J., Govaerts, S., & Santos, J. L. (2013). Learning Analytics Dashboard Applications. American Behavioral Scientist, 57(10), 1500–1509.

Corrin, L., & de Barba, P. (2014). Exploring students’ interpretation of feedback delivered through learning analytics dashboards. In Proceedings of the Ascilite 2014 Conference.

Shiny Gallery

D’Agostino McGowan, L. (2018). Building Dashboards with shinydashboard