What is Data?
Data is a collection of facts, such as values or measurements. It can be numbers, words, measurements, observations or even just descriptions of things.
There are two types of data.
Qualitative and Quantitative
Qualitative data is descriptive information (it describes something)
Quantitative data is numerical information (numbers).
And Quantitative data can also be Discrete or Continuous:
Discrete data can only take certain values (like whole numbers)
Continuous data can take any value (within a range)
For example, if we have a dog then:
He is brown and black
He has long hair
He has lots of energy
o He has 4 legs
o He has 2 brothers
o He weighs 25.5 kg
o He is 565 mm tall
What is Information?
Data is the collection of raw facts collected from any specific environment for a specific purpose. Data in itself does not show anything about its environment, so to get desired types of results from the data we transform by applying certain processing on it. Once we have processed using different methods data is converted into meaningful form and that form of the Data is called information.
If we consider the following example of data:
Employ name, age, salary
We figure without the titles or the labels associated (Employ Name, age, salary) then it is not much useful. However, after attaching these labels for example company name .department name it brings some meanings to us. So this is a very simple example of processing that we can do on the data to make it information.
Some important point in the information
Information is the outcome derived after processing the data
information is always meaningful.
Output after processing the system is information
Understanding is easy.
Information is already in an understandable form, it may be processed further to make it more understandable.
Information should be in order.
Example Reports, Knowledge