How do you efficiently and effectively make large data sets more compact, easier to scan and manipulate and simpler to understand? In the class "Visualizing Big Data" we explored the use of qualitativ...
e analytic methods and principles of information design—visual coding and mapping—to addresses two challenges in the design process:
1. Visualization of large data: how to speed the discovery process involved in analysis;
2. Visualization of key insights: how to use large-scale, visual summaries that provide at-a-glance insight into the consumer’s behavior and mindset.
I started with a data set from a previous research project on the shopping habits of women: with and without children, with younger and older children and grandmothers. I chose to use the data to help my imaginary client, Nordstom's, to better understand these women and how they relate to their products.
After analyzing and other data from the study, I created a visualization that would allow Nordstrom to understand the big picture of the study as well as be able to dig down to individual insights and quotes
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