Qiu, Ziyu (Andrea)Yellin, Benjamin James2020-08-102020-08-102020-05Qiu_cornell_0058O_10843http://dissertations.umi.com/cornell:10843Yellin_cornell_0058O_10844http://dissertations.umi.com/cornell:10844https://hdl.handle.net/1813/7022216 pagesIn this paper, exercise data from 207 cancer patients at Memorial Sloan Kettering Cancer Center (MSKCC) are cleaned and visualized. Previous research has indicated that increased amounts of physical activity can enhance a person’s ability to fight cancer, but it is still unknown how much exercise is necessary and how these impacts change depending on tumor type. This project provides a pipeline for data cleaning that can be applied to exercise data from a variety of wearable devices and mobile phones and also suggests ways of visualizing this data. These data visualizations could become useful to clinicians and researchers to identify features of exercise that could potentially be most effective in boosting a person’s ability to fight cancer.enCcncerdata visualizationexercise dataFitbitdissertation or thesishttps://doi.org/10.7298/0vwa-xm55