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Interactive Data Visualization with Plotly in R

Nov 16, 2023
2:00pm to 4:00pm
Online venue
University of Iowa, Iowa City, IA 52242

1. Overview

This 2-day workshop introduces the functionality of plotly in R, a library that makes interactive data visualization. This workshop builds on the “Introduction to Data Analysis Using R” workshop. We will cover topics at a faster pace than the introductory-level workshop. The workshop is taught using RStudio in the Interactive Data Analytics Service (IDAS).

2. Prerequisites

Knowledge of basic concepts and features of R, and familiarity with RStudio, including the script editor, Console, Environment, Files, and Plots tabs.

3. Eligibility

This workshop is available to current University of Iowa faculty, staff, and students, who are employed by the University or enrolled in a class at the University at the time of the workshop. 

4. How to register

Click HERE then log in with your HawkID and password. Click “Register now” at the bottom of the page to register. After registering successfully, an automated email with a Zoom link will be sent to your University of Iowa email. Registration will close at 10 a.m. on Friday, Nov. 10, 2023.

5. Additional information         

If you have any questions, please see the workshop FAQs or contact research-computing@uiowa.edu.

6. Workshop agenda

This workshop is taught in 2 sessions over 2 days. The later session builds on the previous one. Participants are encouraged to attend all sessions to learn the complete contents of the workshop.

If you are already familiar with the concepts below, please see the workshop FAQs for a list of additional, free learning resources.

Tentative topics to be covered:

Day 1:

  • Introduction and log in to the workshop computing environment
  • A brief overview of R Markdown
  • Getting started with `plotly`
  • `plotly` foundational syntax: `plot_ly()`, `add_trace()` and `layout()`
  • Scatter plots
  • Bar charts

Day 2:

  • Log in to the workshop computing environment
  • Tools for data visualization: text labels, titles, axis text, colors
  • Line Plots
  • Time Series Data
  • Choropleth Maps (time permitting)
  • Adjusting for Population in Mapping (time permitting)

Individuals with disabilities are encouraged to attend all University of Iowa–sponsored events. If you are a person with a disability who requires a reasonable accommodation in order to participate in this program, please contact Giang Rudderham in advance at (319)353-5982 or giang-rudderham@uiowa.edu