A Set-based Visual Analytics Approach to Analyze Retail Data

We propose a Visual Analytics (VA) approach to address these challenges in the scope of human motion capture data, a special type of multivariate time series data.. In our

We use the ancient Warli style of tribal paintings, found in western India to demonstrate the use of artistic styles for visual analytics over open data provided by the

series visualisation as our interviews suggest it to be one of the most used types of data that analysts work with.. We follow a user-centred design approach as used in the vi-

logarithmic scale. d) Itemset frequency histogram: It shows the distribution of the frequency of itemsets. This visualization also scales to any volume of data because

The main goal of this implementation is to indicate the existence of cognitive bias in visual analytics systems through the adjustment of data visualization and crowdsourc- ing in

Methods such as frequent itemset min- ing (FIM), exclusive set intersections (ESI) and sequential fre- quent pattern mining (SFPM) are often used in visual analytics systems to

In: Biological Data Visualization (BioVis), 2013 IEEE Symposium on. Data-driven visualization of mul- tichannel EEG coherence networks based on community structure analy- sis.

With this paper, we contribute a comparative account, grounded in empirical data collected in a user study with 10 participants using Tableau to analyze domain-specific data, of