Interactive & effective data visualization

Enhancing engagement and understanding

Allan Quadros, Ph.D.
Instructor OM/IS | University of North Florida

2026-03-04

Objectives

  • Provide some insights on data visualization

  • Showcase interactive and effective graphs

  • Debunk some myths about data visualization

What is the right way of doing data visualization?

It depends…



  • Journalistic



  • Scientific




Figure1: Probability of each source belonging to a specific group

Data Visualization - the Big Picture

A broad picture of data visualization

  • What is the audience?
  • What is the goal?
  • What are the effective ways of achieving that goal?
  • What are the available tools?

Design Principles

balance

emphasis on key areas

proportion

smart use of patterns

illustrating movement

variety (novelty)

theme (standard)

Case 1 - Gapminder

Case 1 - Gapminder

Case 2 - Hidden Patterns

Case 2 - Hidden Patterns (2)

Case 3 - Time Series (Seasonality)

Case 3b - Time Series (Seasonality)

Case 5 - Tables are also visual tools

Top 5 S&P 500 Stocks
Latest trading information and sentiment.
Ticker Last Price Vol. (M) Change (%) Sentiment YTD
AAPL 227.79 52.16 0.12
227.8
AMZN 187.97 48.03 −1.67
188.0
GOOGL 163.95 22.29 0.75
163.9
MSFT 428.02 20.57 −0.76
428.0
TSLA 260.46 123.81 2.45
260.5
Data collected from 9/30/23 to 9/30/24 - Allan Quadros (2024)

Case 6 - Network graphs

Case 7 - Word clouds



Spatial Data

Case 8 - 2D Climatic/Demographic map (1)

Case 9 - Interactive Climatic/Demographic map

Case 10 - Do we really need a map?

Case 11 - When visualization ~ Art

Case 12 - Sports Analytics

Case 12b - Sports Analytics

Case 12c - Sports Analytics

Case 12d - Sports Analytics

Thank you!

allan.quadros@unf.edu