Data Science, Data Visualization, Data Analysis, Data Analytics.
exclusive and can often be found together. For example, a survey may include both open-ended qualitative questions and closed-ended quantitative questions. In summary, understanding the difference between qualitative and quantitative data is crucial in order to properly interpret and analyze data.