June 20, 2022, 1:10 a.m. | Jonas Van Der Donckt, Jeroen Van Der Donckt, Emiel Deprost, Sofie Van Hoecke

cs.LG updates on arXiv.org arxiv.org

Visual analytics is arguably the most important step in getting acquainted
with your data. This is especially the case for time series, as this data type
is hard to describe and cannot be fully understood when using for example
summary statistics. To realize effective time series visualization, four
requirements have to be met; a tool should be (1) interactive, (2) scalable to
millions of data points, (3) integrable in conventional data science
environments, and (4) highly configurable. We observe that …

analytics arxiv plotly series time time series visual analytics

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