What are the 5 differences between data and information?

Answer 1

The frequency of the use of the words data and information are very high in our daily lives. Depending on the context the meanings and use of these words differ. Both data and information are types of knowledge or something used to attain knowledge. Though used interchangeably, there are many differences between the meanings of these two words.

Data refers to the lowest abstract or a raw input which when processed or arranged makes meaningful output. It is the group or chunks which represent quantitative and qualitative attributes pertaining to variables. Information is usually the processed outcome of data. More specifically speaking, it is derived from data. Information is a concept and can be used in many domains.

Information can be a mental stimulus, perception, representation, knowledge, or even an instruction. The examples of data can be facts, analysis, or statistics. In computer terms, symbols, characters, images, or numbers are data. These are the inputs for the system to give a meaningful interpretation. In other words, data in a meaningful form is information.

Information can be explained as any kind of understanding or knowledge that can be exchanged with people. It can be about facts, things, concepts, or anything relevant to the topic concerned.

The word information was derived from Latin. The verb from which it is derived is informare, which means 'to instruct'. It also means giving form to an idea or fact. Data is the plural of the Latin word datum. It can mean 'to give'. In the realms of mathematics and geometry, the terms data and given are very often used interchangeably. This is how the term was derived for use in computer realm.

Data can be in the form of numbers, characters, symbols, or even pictures. A collection of these data which conveys some meaningful idea is information. It may provide answers to questions like who, which, when, why, what, and how.

The raw input is data and it has no significance when it exists in that form. When data is collated or organized into something meaningful, it gains significance. This meaningful organization is information.

The raw input is data and it has no significance when it exists in that form. When data is collated or organized into something meaningful, it gains significance. This meaningful organization is information.