23/9/2025--//2025 (W1-W3)
LIU YITONG (0370907)
Information Design / Bachelor of Design (Hons) in Creative Media / Taylor's University
INSTRUCTION
LECTURE & TUTORIAL
Exercise 1: Quantifiable Information
Instruction
We were asked to gather a set of objects and categorize them by
quantifiable factors such as color, size, shape, or material. Then, we
needed to arrange them visually on paper, labeling the data clearly to
communicate the information effectively.
The submission includes:
1. A photo of the random objects before sorting
2. The sorted objects (2–5 categories)
3. A designed visualization with written information on an A3 paper
Exercise 1
For this exercise, I decided to use buttons as my dataset. Buttons are simple
yet diverse in color, size, and material, which makes them suitable for
quantification and creative arrangement.
Step 1 – Unsorted Data
I started with a random collection of buttons from a sewing kit. They came
in different shapes, colors, and materials—some glossy plastic, some wooden,
and some matte-finished.
Fig 2.1 Unsorted Buttons
Step 2 – Sorting by Categories
To make the data easier to analyze, I sorted the buttons into three separate
categories: color, size, and material.
This helped me observe patterns more clearly and understand how different
characteristics could be visually represented.
·Sorted by Color
I began by grouping the buttons according to their colors.
This created a vibrant visual range and allowed me to explore how color
groups could be used to symbolize different data sets later on.
Fig 2.2 Buttons Sorted by Color
·Sorted by Size
Next, I organized the buttons based on their sizes—tiny, small, medium, and
large.
This step helped me visualize quantity differences more easily. I noticed
that smaller buttons were the most common, while larger ones appeared less
frequently, adding a clear numerical contrast to the data.
Fig 2.3 Buttons Sorted by Size
·Sorted by Material
Finally, I categorized the buttons according to their materials—plastic and
wood.
The plastic buttons were more colorful and glossy, while the wooden ones were
neutral and matte.
This distinction not only provided another quantifiable layer but also added a
tactile diversity to my dataset.
Fig 2.4 Buttons Sorted by Material
Step 3 – Visual Structuring: The “Button Trees”
For the final visualization, I wanted to turn my categorized data into
something visually engaging. I designed three trees, each representing a color
category:
Pink Tree: Warm colors (red, pink, purple tones)
Yellow Tree: Bright colors (yellow, green, orange tones)
Blue Tree: Cool colors (blue and beige tones)
Fig 2.5 Draft
On the A3 paper, I drew three simple trees — left, middle, and right — each
representing a different color group and emotion.
Fig.2.6Button Trees Visualization
The left tree is made up of pink, red, and purple buttons. These warm colors
feel energetic and full of life, like passion or creativity bursting out.
The middle tree uses yellow, orange, and green buttons, giving off a bright
and cheerful vibe — it feels friendly, happy, and optimistic.
The right tree is filled with blue and beige buttons, representing cool and
calm emotions, like the peaceful feeling of looking at the sea or sky.
Together, the three trees form a small “button forest” that turns simple
color data into something expressive and emotional.
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