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This paper is aimed at SAS® Visual Analytics users who create and design reports and dashboards for their users. Managers can also use this paper to get an idea of what their teams can create and design with SAS Visual Analytics. TOOLS SAS Visual Analytics 8.2 SAMPLE FILES AND DATA
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Monitor Your Queries quick and easy way to understand how long each individual query takes is found in the performance log. The steps to open the performance log appear below, along with sample output. Open the report in SAS® Visual Analytics Designer. Click the Properties tab. Open the performance log via Ctrl-Alt-p.
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Bar chart race comparing total CO2 emissions in SAS Visual Analytics. 1. A place to share and chat about interesting stories told through beautiful visualizations.
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During the design stage of a dashboard at least three questions need to be addressed: sources of data for the analysis, programming framework, and content to be used. This paper mainly focuses on the aspect of framework and is organized as follows: SAS methods helpful in building dashboards.
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Here is a dashboard I created using sample data and used as an image in my book " Infographics Powered by SAS: Data Visualization Techniques for Business Reporting " and I thought I would share some ideas on how I created this example. Watch a short video demonstration of the dashboard below.
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This presentation covers techniques to build advanced, flexible dashboards that empower users to filter information according to their specific needs. Domini.
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Get free trial Explore our SAS Visual Analytics interactive demos to explore a variety of industry and business issues through interactive visualization and easy-to-use analytics. Check out our interactive demos for warranty analysis, retail insights, water consumption and quality, network performance, and banking and risk insights.
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Example 1 of 5: An example of the Where & the How of visual data storytelling. click on image to enlarge and see clearer It's good to provide Geo spatial objects within your report to better visualize the Where your customers, products, etc. reside.
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This paper demonstrates useful techniques for visualizing healthcare data and enhancing SAS Visual Analytics reports and dashboards. The motivation for the paper originated from experiences learning the Visual Analytics graphical interface as experienced SAS programmers.
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The SAS Visual Analytics user experience is built on a visualization and interaction framework allowing beautiful, informative dashboards to be created and shared. Dashboard authors can choose from the comprehensive collection of built-in visualizations or use SAS Graph Builder , a component of SAS Visual Analytics, to combine built-in objects.
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SAS® Visual Analytics provides a robust platform to perform business intelligence through a high-end and advanced dashboarding style. In today's technology era, dashboards not only help in gaining insight into an organization's operations, but they also are a key performance indicator.
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As a practitioner of visual analytics, I read the featured blog of ' Visualizations: Comparing Tableau, SPSS, R, Excel, Matlab, JS, Python, SAS' last year with great interest. In the post, the blogger Tim Matteson asked the readers to guess which software was used to create his 18 graphs.
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Through this example, viewers will witness how the following SAS Visual Analytics features can enhance their reports/dashboards: joining and aggregating tables, mapping data items across multiple data sources, using parameters, using prompt and object containers, formatting objects, and hiding pages.
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ABSTRACT Tabs are a natural way of creating content-rich business intelligence dashboards. They visually separate distinct ideas and concepts, typically flowing from left-to-right to tell a story hidden in gigabytes of tables full of numbers, words, codes, and acronyms.
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Example of a playable dashboard I designed a report to illustrate carbon dioxide (CO2) emissions for 20 countries. I added five report objects that are easy to comprehend in about five seconds (a subjective estimate, of course.)
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A comprehensive model dashboard should hold all information about analytical model assets of an enterprise in one place. This enables the business to react immediately to model performance degradation and save money avoids unintended harm enhances transparancy and accountabiltiy Other important aspects of the model dashboard are.