Skip to Main Content

BIOF 019 | Designing Effective Data Visualizations in R

April 6, 2021 to April 20, 2021

5:30pm - 8:00pm



Registration occurs on a first-come, first-served basis. The deadline for registration is one week before the first day of the course.  If you are unable to register before the deadline, please email: or call 301-496-7977 for space availability.

NIH Fellows or NIH community members being sponsored by their lab and awaiting payment authorization can tentatively hold a seat using the “Reserve A Seat” option. FAES must receive payment within 7 business days after reserving a seat or 3 business days before the start of the workshop, which ever comes first. If payment is not received in this time frame, your reservation will be canceled.

This workshop will be held live on April 6, 13, 20, 2021 (5:30PM-8:00PM)

Simultaneous access to two screens is highly recommended for best learning experience. Examples include one computer with two screens, two computers, one laptop and one tablet, etc.​


This workshop will explore both the design side and the coding side of creating visualizations in R. The first session will introduce best practices for designing effective visualizations, and learners will put these into practice in the next two sessions to create static and interactive visualizations. Learners will be introduced to Shiny, an R package used to build interactive web apps. The workshop will include three two-hour sessions with the following learning objectives:

  • After Session 1: Visualization Design, learners will be able to:
    • Understand how to use principles of human visual perception to create effective visualizations;
    • Describe elements of design such as line, shape, value, texture, and space and understand how to effectively use them in visualizations;
    • Use color to convey meaning, including using color-blind friendly palettes.
  • After Session 2: Visualization in ggplot2, learners will be able to:
    • Describe the “Grammar of Graphics” philosophy that underlies the ggplot2 visualization package;
    • Create visualizations including barplots, scatterplots, line graphs, and more using ggplot2;
    • Customize all aspects of visualizations;
    • Save and export visualizations for print, submission to journals, and other applications.
  • After Session 3: Interactive Visualizations with Shiny, learners will be able to:
    • Understand how to use the UI and server functions to create Shiny objects;
    • Create visualizations that change based on user input;
    • Build simple web apps incorporating visualizations.



Basic knowledge of coding in R

General Training Rate


Discounted Training Rate

$625.00 - NIH Community (Trainees, Employees, Contractors, Volunteers, etc.)

$695.00 - Academia, US Government (Non-NIH), US Military

Technology Fee



Although no grades are given for courses, each participant will receive Continuing Education Units (CEUs) based on the number of contact hours. One CEU is equal to ten contact hours. Upon completion of this course each participant will receive a certificate, showing completion of the workshop and 0.7 CEUs.


Refund Policy

100% tuition refund for registrations cancelled 14 or more calendar days prior to the start of the workshop.

50% tuition refund for registrations cancelled between 4 to 13 calendar days prior to the start of the workshop.

No refund will be issued for registrations cancelled 3 calendar days or less prior to the start of the workshop.


All cancellations must be received in writing via email to Ms. Carline Coote at

Cancellations received after 4:00 pm (ET) on business days or received on non-business days are time marked for the following business day.

All refund payments will be processed by the start of the initial workshop.

Return to Workshops & Conferences Calendar