Chinese cabbage, a traditional food source in Asia, has been highlighted due to its functional aspects. In particular, breakdown products of glucosinolates (GSLs) that contribute to the unique flavor and fragrance of Brassicaceae vegetables and act in plant defense mechanisms has been known as an anti-cancer agent. The objective of this study was to investigate optimal condition to grow Chinese cabbage with focusing on enhancing glucosinolates contents. The main tools for our analysis were correlation analysis and principal component analysis (PCA), and they were applied into a data obtained from Chinese cabbage grown in the plant factory. The data included glucosinolate contents and growth conditions (day, temperature, humidity, and EC). As a result of correlation analysis, day showed the largest significance with glucosinolates, followed by EC and temperature. The results of PCA showed that three principal components were able to explain more than 75% of variations in glucosinolate contents caused by different growth conditions. The first principal component (PC1) was mainly represented by day, EC, and temperature, while the main factors in the second (PC2) and the third (PC3) components were represent humidity, and , respectively. In conclusion, glucosinolate contents in Chinese cabbage were largely affected by day, EC, and temperature during the growth.