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- W2143920107 abstract "Visualization and exploratory analysis is an important part of any data analysis and is made more challenging when the data are voluminous and high-dimensional. One such example is environmental monitoring data, which are often collected over time and at multiple locations, resulting in a geographically indexed multivariate time series. Financial data, although not necessarily containing a geographic component, present another source of high-volume multivariate time series data. We present the mvtsplot function which provides a method for visualizing multivariate time series data. We outline the basic design concepts and provide some examples of its usage by applying it to a database of ambient air pollution measurements in the United States and to a hypothetical portfolio of stocks." @default.
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- W2143920107 date "2008-01-01" @default.
- W2143920107 modified "2023-10-01" @default.
- W2143920107 title "A Method for Visualizing Multivariate Time Series Data" @default.
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- W2143920107 doi "https://doi.org/10.18637/jss.v025.c01" @default.
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