uantitative data considered numerical data that can be used as counting. It is collected primarily with the general questionaries completing surveys, questionnaires, or experiments. An example of quantitive data would be making sales via real state. Qualitative data is non-numerical data that is collected through different ways like interviews and certain social groups. This type of data is usually analyzed through methods like thematic analysis or content analysis. An example of this type data will be reviewing products online for a review or some type of compensation. In order to leave a good review, they must always be honest.. The disadvantages of quantitive data would be that you are not getting specific data the disadvantages of qualitative would be that it is subject to change because of other influences on the collection of the data. Both types of data are unique in their ways, and it ends up, tying everything together as a whole. A time in my life where I collect, the stuff of data would be at work. As I deal with many applications of people that are bringing in documents and then submit it to HR for approval