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Dashboards serve as a visual representation for a company to monitor progress and trends, not only among themselves but against other companies as well. Dashboards and visualizations contain data that is updated in real time. For example, if the underlying data in an Excel spreadsheet were to change, so would the visualization.
Interactive data visualization enables direct actions on a graphical plot to change elements and link between multiple plots. [59] Interactive data visualization has been a pursuit of statisticians since the late 1960s. Examples of the developments can be found on the American Statistical Association video lending library. [60]
A visual programming data-flow software suite with widgets for statistical data analysis, interactive data visualization, data mining, and machine learning. Origin: GUI, COM, C/ C++ and scripting: proprietary: No 1992: June 22, 2017 / 2017 SR2: Windows: Multi-layer 2D, 3D and statistical graphs for science and engineering. Built-in digitizing tool.
Dundas Data Visualization (formerly Dundas Software) was founded in 1992 in Toronto, Ontario, Canada.. After an early success with Dundas Chart in 2002, the company developed Dundas Gauge, Map, OLAP Chart, and Calendar controls, which were purchased by Microsoft in 2007 to become part of their Reporting Services, SharePoint, and .NET offerings.
Microsoft Power BI is an interactive data visualization software product developed by Microsoft with a primary focus on business intelligence (BI). [7] It is part of the Microsoft Power Platform . Power BI is a collection of software services, apps, and connectors that work together to turn various sources of data into static and interactive ...
Grafana is a multi-platform open source analytics and interactive visualization web application. It can produce charts, graphs, and alerts for the web when connected to supported data sources. It can produce charts, graphs, and alerts for the web when connected to supported data sources.
Data representations and transformations that convert all types of conflicting and dynamic data in ways that support visualization and analysis Techniques to support production, presentation, and dissemination of the results of an analysis to communicate information in the appropriate context to a variety of audiences.
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] In October 2022, however, Google announced the rebranding of Google Data Studio to Looker Studio. [13]
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