Answer:
Qualitative data interpretation is the process of analyzing qualitative (non-numerical) data to draw conclusions, identify patterns and trends, and make meaningful inferences. Qualitative data interpretation involves looking at the data in its natural state, without manipulating it or trying to quantify it. It involves careful, critical observation and analysis of the data in order to identify and explain meaningful connections and patterns. Qualitative data interpretation is an important part of data analysis, and can provide valuable insights into a range of topics, including data from interviews, focus groups, surveys, and observations.
Step-by-step explanation: