This type of data includes primarily open-ended questions, and the method of data collection is investigative, providing the respondents to describe their choice and defend their answers fully. Qualitative data is the data that defines the information about anything descriptively. It helps to expand the results of any particular group to a larger population if the results are generalizable. This type of data includes descriptive, relationship, and comparative data. The outcomes drawn from the results can be associated with a specific population. Quantitative data helps in statistical data analysis by utilizing questionnaires, surveys, and polls containing different questions. Quantitative data is described through parameters such as kilograms, pounds, or dollars, etc. Mathematical procedures and formulas used in this type of data make it easy to control various parameters. These data sets contain the quantitative information that can be used to draw any conclusion of real-life problems from mathematical derivations, including mathematical calculations, and also help in statistical analysis. Qualitative data refers to the type of data that contains numerical values associated with the data sets. The Importance of Data Science to Business Analytics
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