Some variables in the data set might be qualitative, others might not.
For example, if one were to sample newly arrived immigrants to Toronto, Canada and create a data set of information about them one could include both qualitative and quantitative data. One might measure each person's height which would be quantitative, and observe each person's eye colour, which would be qualitative.
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Yes. You need to define a level of blood pressure which would allow you to classify the patient as hypertensive or not according to whether their blood pressure was above or below that value. You will then have a binary qualitative variable. The classification may need to be bivariate: systolic and diastolic, but that does not change the argument.
Quantitative means that it is concerned with how much. Qualitative means that it is only concerned with the kind. And example of quantitative would be the number of trees in a park, and an example of qualitative would be whether you have blue eyes or brown eyes.
Litmus paper data would be considered under the qualitative, because of the readingin color. Although the color is descrbing an actual pH number, it is still a qualitative data.
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A dependent variable is usually on the side of the equation by itself. The independent variable usually has something being done to it. And, the dependent variable is usually written to the left of the equation.