In this paper, the proposed system for time-series data visualization is a distributed lo osely coupled system enabling data and resource sharing over the Internet, for data rendering, we use Open Graphics Library (OpenGL) and extend them as Web Services to be used by the third parties for visualization of time- series data.
📌 3 Key Takeaways
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Objective & Hypothesis:In statistics, signal processing, econometrics and mathematical finance, a ti me series is a sequence of data points, measured typically at successive time instants spaced at uniform time intervals.
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Key Findings & Data:In statistics, signal processing, econometrics and mathematical finance, a ti me series is a sequence of data points, measured typically at successive time instants spaced at uniform time intervals.
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Conclusion & Impact:In this paper, the proposed system for time-series data visualization is a distributed lo osely coupled system enabling data and resource sharing over the Internet, for data rendering, we use Open Graphics Library (OpenGL) and extend them as Web Services to be used by the third parties for visualization of time- series data.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Zaman serileri · Veri grafikleri · OpenGL
Abstract
In statistics, signal processing, econometrics and mathematical finance, a ti me series is a sequence of data points, measured typically at successive time instants spaced at uniform time intervals. In this paper, the proposed system for time-series data visualization is a distributed lo osely coupled system enabling data and resource sharing over the Internet, for data rendering, we use Open Graphics Library (OpenGL) and extend them as Web Services to be used by the third parties for visualization of time- series data.
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