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The Trade Space Visualizer is a data visualization tool developed at the Applied Research Laboratory (ARL) at The Pennsylvania State University. Initial development started in 2002, and it is currently supported by a team at ARL/Penn State.
Tableau Software, LLC is an American interactive data visualization software company focused on business intelligence. [2] [3] It was founded in 2003 in Mountain View, California, and is currently headquartered in Seattle, Washington. [4]
Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...
SuperCROSS – comprehensive statistics package with ad-hoc, cross tabulation analysis; Systat – general statistics package; The Unscrambler – free-to-try commercial multivariate analysis software for Windows; Unistat – general statistics package that can also work as Excel add-in; WarpPLS – statistics package used in structural ...
Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Tulip aims to provide the developer with a complete library, supporting the design of interactive information visualization applications for relational data that can be tailored to the problems being addressed.
STR, Inc. is a subsidiary of CoStar Group that provides market data on the hotel industry worldwide, including supply and demand and market share data. The company has a corporate headquarters in Hendersonville, Tennessee, an international headquarters in London, England and offices in Italy, Dubai, Brazil, Singapore, Tokyo, Jakarta, Sydney, and Beijing.
In addition, the choice of appropriate statistical graphics can provide a convincing means of communicating the underlying message that is present in the data to others. [1] Graphical statistical methods have four objectives: [2] The exploration of the content of a data set; The use to find structure in data; Checking assumptions in statistical ...
Initially, Google Data Studio and Looker operated as separate products within Google. Google Data Studio's offering was a simple, low-cost, and easy way to connect data sources and create dashboards, [11] while Looker offered a more enterprise-focused solution with robust support for transformations and permissions. [12]