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Analysis and research on computer visualization in data science with bokeh and JavaScript
| Content Provider | Scilit |
|---|---|
| Author | Zhang, Tianyu Mei, Long |
| Copyright Year | 2021 |
| Description | Journal: Journal of Physics: Conference Series With the continuous development of data science, the data manifests an explosive growth in volume and dimension. In this historic background, the demand for data visualization is becoming increasingly urgent, because of which, many powerful instruments have been invented for handling the issues. Among them, the bokeh is a burgeoning, JavaScript-powered, open source python library which draws investigators, data scientists and developers. Present review mainly casts light on the application in field of data visualization with bokeh, including glossary, figures' type and widgets. |
| Related Links | https://iopscience.iop.org/article/10.1088/1742-6596/2033/1/012154/pdf |
| ISSN | 17426588 |
| e-ISSN | 17426596 |
| DOI | 10.1088/1742-6596/2033/1/012154 |
| Journal | Journal of Physics: Conference Series |
| Issue Number | 1 |
| Volume Number | 2033 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2021-09-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Physics: Conference Series Data Visualization |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy |