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- 01GRTYD8HDQZ4YDMES8MF6QG7Q classification P1.
- 01GRTYD8HDQZ4YDMES8MF6QG7Q date "2022".
- 01GRTYD8HDQZ4YDMES8MF6QG7Q language "eng".
- 01GRTYD8HDQZ4YDMES8MF6QG7Q type conference.
- 01GRTYD8HDQZ4YDMES8MF6QG7Q hasPart 01GRTYF1QMEG3MNVCHFFDF4SHY.pdf.
- 01GRTYD8HDQZ4YDMES8MF6QG7Q subject "Technology and Engineering".
- 01GRTYD8HDQZ4YDMES8MF6QG7Q doi "10.1109/VIS54862.2022.00013".
- 01GRTYD8HDQZ4YDMES8MF6QG7Q isbn "9781665488129".
- 01GRTYD8HDQZ4YDMES8MF6QG7Q issn "2771-9537".
- 01GRTYD8HDQZ4YDMES8MF6QG7Q issn "2771-9553".
- 01GRTYD8HDQZ4YDMES8MF6QG7Q presentedAt urn:uuid:91feda15-aabd-4905-af1d-03307daec1ac.
- 01GRTYD8HDQZ4YDMES8MF6QG7Q abstract "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 open source Python visualization toolkits empower data scientists in most visual analytics tasks, but lack the combination of scalability and interactivity to realize effective time series visualization. As a means to facilitate these requirements, we created Plotly-Resampler, an open source Python library. Plotly-Resampler is an add-on for Plotly's Python bindings, enhancing line chart scalability on top of an interactive toolkit by aggregating the underlying data depending on the current graph view. Plotly-Resampler is built to be snappy, as the reactivity of a tool qualitatively affects how analysts visually explore and analyze data. A benchmark task highlights how our toolkit scales better than alternatives in terms of number of samples and time series. Additionally, Plotly-Resampler's flexible data aggregation functionality paves the path towards researching novel aggregation techniques. Plotly-Resampler's integrability, together with its configurability, convenience, and high scalability, allows to effectively analyze high-frequency data in your day-to-day Python environment.".
- 01GRTYD8HDQZ4YDMES8MF6QG7Q author 0a4ff2ca-e97a-11ea-941f-d0399d38aec8.
- 01GRTYD8HDQZ4YDMES8MF6QG7Q author 6E6338BE-2C06-11E5-A153-B806B5D1D7B1.
- 01GRTYD8HDQZ4YDMES8MF6QG7Q author DBD056C2-45F4-11E5-91E6-AC9EB5D1D7B1.
- 01GRTYD8HDQZ4YDMES8MF6QG7Q author F6BA63F6-F0ED-11E1-A9DE-61C894A0A6B4.
- 01GRTYD8HDQZ4YDMES8MF6QG7Q dateCreated "2023-02-09T11:19:12Z".
- 01GRTYD8HDQZ4YDMES8MF6QG7Q dateModified "2024-11-27T13:29:57Z".
- 01GRTYD8HDQZ4YDMES8MF6QG7Q name "Plotly-resampler : effective visual analytics for large time series".
- 01GRTYD8HDQZ4YDMES8MF6QG7Q pagination urn:uuid:a1feab52-23d4-404b-b61b-3bbd20eedd56.
- 01GRTYD8HDQZ4YDMES8MF6QG7Q publisher urn:uuid:18e3eabc-8ef1-4dff-b7a7-acbd2661628f.
- 01GRTYD8HDQZ4YDMES8MF6QG7Q sameAs LU-01GRTYD8HDQZ4YDMES8MF6QG7Q.
- 01GRTYD8HDQZ4YDMES8MF6QG7Q sourceOrganization urn:uuid:21b4af6f-499d-487a-9c31-0b9c95e506f6.
- 01GRTYD8HDQZ4YDMES8MF6QG7Q sourceOrganization urn:uuid:ebcdeadd-f8ae-45d3-8512-9e8744332378.
- 01GRTYD8HDQZ4YDMES8MF6QG7Q type P1.