Essay about The Affectivness of Information Visual images on Decision Making and Understanding

THE AFFECTIVNESS OF INFORMATION

CREATION ON MAKING DECISIONS AND UNDERSTANDING

INTRODUCTION

With today's sophisticated ideas and situations individuals need tools to succeed. With the aid of information creation individuals can see information creatively improving their chance for accomplishment while raising their knowledge of the information. This kind of report look into the history, types, consumption and great things about information visual images.

History of Info Visualization

Information visualization is the use of photos to represent info (Few 2). Information creation goes as far back as the 2nd hundred years. Egyptians utilized information visualization, specifically a table, to arrange astronomical designs to make course-plotting easier (Few 2). Another big help information visual images was graphs. Graphs were not created until the 17th hundred years by the France philosopher and mathematician Rene Decartes. Rene Decartes made a mathematic way to symbolize quantitative info based on a system of coordinates (Few 3). The types of graphs that Rene Decartes created aren't the graphs that today's culture are accustom to. This wasn't until the late eighteenth and early on 19th 100 years when a Scottish social man of science by the name of Bill Playfair came up with the type of charts, bar chart, and quiche charts we are accustom to today (Few 3). The next big step in info visualization history took place in 1977 once John Tukey, a stats professor for Princeton College or university, introduced the utilization of information visualization as way of exploring and making impression of data (Few 3). Among the final big advancements for facts visualization originate from the creation of personal computers. Software programs have created programs that help generate multiple types of information visual images, some of which will be discuss afterwards in this report. These courses allow data visualizations being created much simpler and quicker than traditional methods. This ease of creation has cause good and bad trends with details visualization.

Great Trends

Information visualization have been becoming a well-known area of examine at a large number of universities. A few universities happen to be researching ways toward enhancing information visualizations in areas such as laptop sciences, psychology, and business (Few 4). This studies have led to advancements in aesthetic analysis application. Visual analysis software allow its users to represent data graphically, change the characteristics of the screen, filter out irrelevant data, exercise into reduced levels of fine detail, and choose subsets of information across multiple graphs (Few 4). This permits graphs to stimulate our sense of sight and assists us in understanding the data, much better than classic methods of dispensing information.

Bad Developments

Though info visualization is supposed to help clarify data, that occasionally can make data more complex. This situation occurs software suppliers try to dash the production of visualization software program or an upgrade to an existing item without taking time to still do it (Few 8). Creating software program that is not user-friendly hurts a final product and can lead to distress. Another poor trend with information visual images is a circumstance commonly called information excess or data glut, which can be when there is too much info in a visualization resulting in misunderstandings (www.ted.com).

TYPES OF INFORMATION VISUAL IMAGES

There are several various kinds of information visualizations. Each type details visualization can be used in certain applications for particular reasons. This kind of report will only be analyzing three types of information visual images, treemapping, hyperbolic trees, and information design.

Treemapping

Treemapping is a method of displaying information employing nested rectangles (Telea 404). Every rectangle that is situated in the visualization is related in some way. These kinds of rectangles can easily have sub-rectangles which are relevant to that specific...