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Simple charts (pie charts, bar charts, stacked bar charts, etc) are commonly used to represent data, partially because they are easy to construct and are routinely provided by software packages. However, instead of helping comprehension, they can be surprisingly difficult to interpret, especially when many values had to be compared. The purpose of this project was to investigate this problem by designing a trial program that added interactive aspects into stacked bar charts and measured user responses. The results from these trials show that interactivity helped users understand the data and…mehr

Produktbeschreibung
Simple charts (pie charts, bar charts, stacked bar charts, etc) are commonly used to represent data, partially because they are easy to construct and are routinely provided by software packages. However, instead of helping comprehension, they can be surprisingly difficult to interpret, especially when many values had to be compared. The purpose of this project was to investigate this problem by designing a trial program that added interactive aspects into stacked bar charts and measured user responses. The results from these trials show that interactivity helped users understand the data and gather more information from the data under certain conditions.
Autorenporträt
Born in Taiwan, Jason Lee moved to New Zealand in 1995, where he earned a degree in Applied Computing with First Class Honours (Lincoln University, 2006). He has over 20 years of experience in various computing roles, specializing in Web development, SharePoint and Jade technology. He is currently a Solution Developer in Gen-i, New Zealand.