Collected, organized, analyzed, and communicated out about large amounts of data collected from a variety of sources through Python and Excel to help inform decision-making and resource investment related to services, collections, and spaces in the Library
Conducted and analyzed evaluations of library physical spaces, including observations, furniture inventories to advised investment
Conducted user research to supplement quantitative data collection and research, including A/B testing, observations, and interviews
There are two files in this repository. One is to clean the original data files, which have four different formats. I tried to organize it to a level I can easily extract data. In the other file, I showed some algorithms created to generate tables and visualization with statistical and business meaning. I will also include some data visualization I presented in the annual operation report of the U-M Library.