Qualitative data is often subjective, rich, and consists of in-depth information normally presented in the form of words. Analyzing qualitative data usually includes reading closely and looking for similarities or differences, and subsequently finding themes and developing categories.
The primary stage in research and analysis of data is clean the data. This ensures that the data set can provide valid answers when the data is analyzed. This step could be done manually for small data sets but requires automation for most realistically sized data sets. For quantitative statistical research, the utilization of descriptive analysis is used often used. It is important to think about the best technique to be utilized for research and analysis of data fitting work.