Visual. Epidemic

An epidemic data visualization platform

Background

In 2020 spring, when the coronavirus began to rage, everything about it was confusing and puzzling. It is difficult for people to understand the complex data on the government’s website, and it’s even harder to customize the dataset and put them together to compare its impact.

This project aims to practice my storytelling skills and use motion graphics and interaction to enhance the story.

Duration
  • 3 months Solo Project 

Tool
  • Principle, Miro, Sketch, Hype 4

Role

UI & Interaction Designer, Data visualization, Researcher 

Outcome

Picked into school’s Fast Track program. Link

Solution

Visual Epidemic aims to help the community and organization systematically learn the pandemic stories behind the data set through the customized dataset, visualization, and interactive animation.
Interactable pages. Please use a laptop and try to click with the mouse:) Or you could go down to see the video.
Phase 1: Design Research
Research
Interview the target user

Need:
1. Cross-comparing the important issue.
2. Find the emotional connection between us and the data.

Mainstream Data Site Analysis

Issue:

  1. Lack of guided tour, audience overload of information.
  2. The visual language does not serve the storytelling.
  3. There is no explanation or mention of missing data, leaving the viewer confused.
Phase 2: Test & Iteration
Web Design
  • Unlike scrolling pages, I put all the information interaction in a one-page structure. I have three categories of information; it’s easier to cross-compare the different data in a one-page structure. You can see this structure in many large data site websites.

Usability Test

Iteration of the Project

In version 1.0, I focus on the information itself. This version lists more details, but the information architecture is confusing, and the visual language is not unified.

Go Back to do the Data Visualization Research
Phase 3: Final Design
Reesign the System Based on Research

UI Challenge: tell vivid stories with data visualizations. Establish a unified visual perception.

↓The colors were made according to Data Visualization selection specifications.
Black mode allows people to merge their eyes on the data, but I will consider the ADA if I can re-update in the future; I have color-blind friends who can’t read part of my data through the color grayscale.↓

Compare, Use the density of circles to distinguish data

Contains, the larger number always contains the smaller number before it

Before
After

Hi- Fi Flow

Home Page- current data section

Using storytelling and interactive way to explain The COVID-19 data of the moment.

Cross-Referencing Section

COVID-19 is not an isolated event in how it affects our lives. Cross-referencing section use 4 data story to tell a more complex pandemic story.

The story includes the relationship between COVID-19 with other pandemics.

COVID-19 with other causes of death of that year.

COVID-19, with other common causes of death of that year.

And other diseases caused by COVID-19 during the pandemic. 

Those are all supported by several articles. I list all the data sets on the reference menu in the top Navigation Bar.

Missing Dataset Section

Absence creates confusion and a feeling of not being valued. Missing Data itself represents a message.

Interactable pages. Please use a laptop and try to click with the mouse:) Or you could go down to see the video.

Final video

Learnings & Challenges

This project was intense. I need to balance research, tell a compelling story, and platform design. Most of my time was spent using attractive interaction and motion graphics, but at a period, I forgot the operation platform and WACG. While there were many moving parts, I learned how to create and organize motion graphics and use them to tell a compelling story.

Future Road Map
  1. Consider Web Accessibility. After I tested with a color-blind friend, there were two colors hard to distinguish.
  2. Accelerate dynamic effects and reduce interaction response time.
  3. Unify the front and back interaction logic and unified visual language of all filters.
  4. Making audience could customize their list. Upload the dataset they are interested in.

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