While there are various sensory evaluation methods, dynamic sensory evaluation, which takes time into account, is a relatively new development and is becoming increasingly popular. Representative methods include the Time-Intensity (TI) method, which measures the intensity change of a single attribute; the Temporal Dominance of Sensations (TDS) method, which records the transition of the dominant sensory attribute; and the Temporal Check-All-That-Apply (TCATA) method, which records the simultaneous changes of multiple attributes. Traditionally, evaluation and analysis have been performed using dedicated software, but using the statistical analysis software "JMP" enables integrated analysis with other data such as instrumental analysis data and consumer preference surveys. Furthermore, JMP allows for complex statistical processing with intuitive operation and enables easy-to-understand result display with dynamic graphs and charts. This time, we would like to introduce how analysis and visualization can be performed using only JMP without using R or Python.
