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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.
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.
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