Document Type
Conference Presentation
Publication Date
3-9-2020
Abstract
NOTE: In order to see the full presenter’s notes, you must download and open in Acrobat Reader. The presenter’s notes will be cut-off if the PDF is viewed in some browsers.
Data visualizations help librarians see through the clutter of collection analysis metrics, and can be very useful for outreach to academic partners. Automating the production of data visualizations in Jupyter Notebook from standardized data inputs enables us to produce more reports for more academic departments, which increases our impact.
Department
Library Services
Recommended Citation
Lienemann, P., Andradi, L.A.A.R., Gustafson-Sundell, N., & Rusch, E. (2020, March 9). Automating Collection Analysis Data Visualization in Jupyter Notebook: What's Possible and Why Would You Do It. Presented at Electronic Resources & Libraries (ER&L), Austin, TX.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
