This was the first R document we opened and learned about. We learned how to run sections of code to get tables and how to then make heatmaps in certain color schemes of the data.

NP Species Count on Leaflet map

In an era of rapid digital transformation and expanding knowledge infrastructures, the pursuit of doctoral education by librarians is vital for fostering innovation, leadership, and equity in the library and information science (LIS) profession. However, the factors influencing librarians’ intent to undertake doctoral studies remain underexplored, particularly in developing contexts such as the Philippines. This study leverages the nationwide Philippine Librarians Census dataset and employs supervised machine learning techniques (logistic regression and random forest models) to predict which librarians are most likely to aspire to Ph.D. study within five years. Results reveal that ongoing academic engagement (current enrollment in further studies), professional role, years of service, and institutional type are among the strongest predictors of doctoral intent. Model performance was moderate (AUC equals 0.69), with both models highlighting similar key features. The findings underscore persistent disparities related to sector and region, suggesting that targeted support and policy interventions are needed to ensure equitable access to advanced LIS education. This study demonstrates the value of data-driven approaches for workforce planning and contributes new empirical evidence to guide educational and institutional strategies in digital library environments.

Abschlussprojekt Data-Science in der Bildung - PH Heidelberg