| Title |
Interactive Data Visualization with Bokeh |
| Abstract |
Bokeh is a software package in the Python ecosystem for data science that provides support for interactive visualization of data. As such, it is complementary to other visualization packages that focus more on enabling the generation of static figures for inclusion in publications and reports. Bokeh renders data visualizations within web browsers and Jupyter notebooks, providing capabilities for inspecting different aspects of plotted data, selecting and highlighting subsets of data, setting parameters through graphical user interfaces and direct interactions with plots, and the construction of dashboards that integrate different data streams and analyses based on user interactions. |
| Authors |
['Chris Myers'] |
| Expertise Level |
None |
| Learning Outcome |
None |
| Learning Resource Type |
asynchronous online training |
| Target Group |
['Researchers', 'Research groups', 'Student'] |
| Keywords |
['Python', 'Bokeh', 'data', 'visualization', 'software', 'ecosystem', 'packages'] |
| Cost |
None |
| Duration |
240 |
| Language |
en |
| License |
None |
| Resource URL Type |
URL |
| Start Datetime |
None |
| URL |
https://cvw.cac.cornell.edu/bokeh |
| Version Date |
2023-12 |
| Provider ID |
urn:ogf.org:glue2:access-ci.org:resource:cider:infrastructure.organizations:898 |
| Rating |
None |
