The application of quantitative and qualitative skills varies depending on the industry. Tasker gave some examples of how different industries use these skills: Artificial Intelligence/Data Science.

Attribute data are characteristics that aren’t readily quantified by hard numbers. It is a discrete data type. Making use of ...

For example, what do you think about this t-shirt? It's simple, classic. Exactly. Qualitative data like the quality of something. But qualitative data is usually time consuming and difficult to ...

Quantitative data management and analysis uses numbers in its methods, while a qualitative approach involves text. According to Norman K. Denzin and Yvonna S. Lincoln, the authors of "Handbook of ...

Qualitative data allows you to show a more robust picture of your listeners. There are two basic qualitative estimates – target persons and composition. Which one should you use?

Yes, but: In recent years, studies have found that these data sets can contain serious flaws. ImageNet, for example, contains racist and sexist labels as well as photos of people’s faces ...

For example, the number of units that your business sells over a period of time is a quantitative variable, but your long-term sales, described month-by-month, counts as qualitative data.

When organizations do marketing research they will collect a lot of information some of it will be hard data called quantitative data, while soft data is termed qualitative data. Here we go through ...