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Data analysis is a practice that aims to make effective decisions after getting in-depth information related to any problem. The process of data analysis includes data collection, modelling and analysis. There are different methods of data analysis based on the type of research. The selection of a particular type of data analysis method is made based on the purpose of investigation. For example, the method of data analysis used for qualitative research is different from quantitative research. The methods used for quantitative research do not work well in qualitative research. Furthermore, the procedure of data analysis also has different steps that assist in finding the best results. As per its importance, this article aims to discuss different methods and procedure of data analysis in detail.

Data collection is a systematised way to collect relevant information for a particular problem. In research work, data is collected to get the in-depth information to evaluate a specific aspect. In some research, you have to collect data to test a hypothesis. On the other hand, there can be a research question to address. In both cases, you have to do an analysis that requires data. Otherwise, it remains impossible to provide support to the conclusion of the study. Research always demands evidence for every claim. Without evidence, your effort, time, and investment are not worth it. So, you have to be very clear about each aspect of the research work. From one purpose to another, you can find a variety of data types. It can be in numeric as well as subjective forms.