# What is the difference between quantitative and qualitative data.

What is the difference between quantitative and qualitative data.
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Step 1
Data are characteristics or information, usually numerical, that are collected through observation. Data is measured, collected and reported, and analyzed, whereupon it can be visualized using graphs, images or other analysis tools.
Data is a collection of facts, such as numbers, words, measurements, observations or just descriptions of things.
Step 2
Quantitative data
-Quantitative data describes quantities or numbers, this data is in the form of numbers that can be examined through various tests, formulas, statistical software, and can be compared on a numeric scale.
-Quantitative data is objective, to-the-point, and conclusive.
-Quantitative data is considered as structured data. This type of data is formatted in a way so it can be quickly organized and searchable within relational databases.
-For example: height of an individual, weight of an individual, length of the tree stem, number of teeth, amount of enzyme produced by an organ, number of eggs laid by a hen, etc.
Qualitative data
-Qualitative data describes qualities or characteristics and may be in the form of descriptive words that can be examined by patterns, frequency or meaning.
-Qualitative data is subjective, interpretive, and exploratory.
-Qualitative data is considered unstructured or semi structured. This type of data is loosely formatted with very little structure. Because of this, qualitative data cannot be collected and analyzed using conventional methods.
-For example: color of eye, skin color, hair color, weather condition, mood of an individual, taste of food, etc.