Apple: The Trend of Growth

We are attempting to make visible the growth of Apple Inc. over the years, incorporating their manufacturing development and product introductions.

This is a growth chart which most people assume, due to Apple success, but have never ‘seen’ the phenomenon so collaboratively.

People tend only to think as far as the latest gadget and what it can do for them. Through this visualization we’re getting people to think about the advance of electronics in just a few short years and how ingrained electronics are in people’s everyday lives.

The presentation promises an insight into information you would not otherwise find in one place by bringing together key growth points of Apple Inc. and their products.

It would interest the westernized public with products like the iPod, iPhone and iPad being leaders in the industry in recent years. Many would be curious to know that Apple had humble beginnings and started out making typewriters.

The consumer electronics industry, which is ever expanding, and the consumers of personal gadgets would find the visualization thought-provoking.

We have made a stimulating road map of sorts from Prezi presentations software and incorporated various smaller visualizations of Apple’s market expansion. This technique helps symbolize a spatial and temporal path of progress over the years.

When producing this visual tool we found locating and cleaning a sizeable enough collection of data a difficult task. This wasn’t easy like we had anticipated and our knowledge of visualization tool software made creating a dynamic and motivating visualization quite difficult.

One issue with our visualization is that as you move through the slides you are still processing little bits of information one after the other, I’d prefer to engage with a single intricate and elaborate image which conveys differing sorts of data all intertwined.

Ultimately, we resorted to turning relevant data sets into small less multifaceted graphs and incorporating those into a timeline of Apple’s ascent into little gadget heaven. There are endless articles on Apple Inc. online, mostly they relate to profits and how much money Microsoft is making for someone else.

The public (unless you’re a shareholder or investor) are unlikely interested in such information; but using our visual tool it works to draw people into an aspect of Apple evolution that would likely fascinate them.

Perception is the key to making data sets into successful visual tools. Data alone cannot convey a depth of perception like an image can. A tailored image is a practical experience, you can build the concept in your mind and can actually see how the data comes together.

Visualization is as close as we can get to collecting the data and doing the research ourselves. It is compressed and a collective understanding of information, digestible to all.

Link to Presentation:



Making Something Invisible Visible

The answer to a simple question is no longer simple. There are millions of answers and a million more questions that follow.

In a sea of ‘what if’s’ and hypotheticals visualizations assist in extricating helpful information from oceans of data.

The images highlight patterns where before only words appeared. They show trends and explain complexity to audiences with no previous experience in that field.

In the lecture it was suggested that visualizations were, in the past, considered evil. They were accused of being ‘distracting,’ but I think people were just realizing and intimidated by the power of visuals and visualizing.

No mere picture could give a complete or accurate depiction of life, but images were said to be attempting such representations.

This view may have some merit based on data needing to be ‘cleaned’ before use. That is the standardization of icons, text-type and the like before being loaded into visualization software.

The problem with visualizations is that there is no fine print to fall back on. You can read the same paragraph of a textbook over and over, until you understand it.

Images only allow for one possible understanding, they represent a specific set of data, and thus one has to assume the data has been collected, cleaned and imported correctly.

Thus visualization images, can lead you astray, they cannot be a sole communicator but must be accompanied by explanations.

Coupled with text, visualizations boost understanding-allows our minds to get a 3D understanding or a Sort of practical understanding without being involved with research from the beginning.