What is Data
University Of Ibadan
Faculty of Social Science
Department of Economics
Course of study: MBA
Course Title: Marketing Research
Course code: MBA 763
Assignment: Secondary Data
Mat Number: 74168
Name: Abiona Timothy Olufemi
What is Data
Data is a collection of facts, such as numbers, words, measurements, observations or even just descriptions of things.
1.Information in raw or unorganized form (such as alphabets, numbers, or symbols) that refer to, or represent, conditions, ideas, or objects. Data is limitless and present everywhere in the universe. See also information and knowledge.
2.Computers: Symbols or signals that are input, stored, and processed by a computer, for output as usable information.
Data is a set of values of qualitative or quantitative variables; restated, pieces of data are individual pieces of information. Data is measured, collected and reported, and analyzed, whereupon it can be visualized using graphs or images.
Generally and in science, data is a gathered body of facts.
Data, information and knowledge are closely related terms, but each has its own role in relation to the other. Data is collected and analyzed to create information suitable for making decisions,[3] while knowledge is derived from extensive amounts of experience dealing with information on a subject. For example, the height of Mt. Everest is generally considered to be data. This data may be included in a book along with other data on Mt. Everest to describe the mountain in a manner useful for those who wish to make a decision about the best method to climb it. Using an understanding based on experience climbing mountains to advise persons on the way to reach Mt. Everest 's peak may be seen as "knowledge".
Types of Data
Data can be qualitative or 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
Faculty of Social Science
Department of Economics
Course of study: MBA
Course Title: Marketing Research
Course code: MBA 763
Assignment: Secondary Data
Mat Number: 74168
Name: Abiona Timothy Olufemi
What is Data
Data is a collection of facts, such as numbers, words, measurements, observations or even just descriptions of things.
1.Information in raw or unorganized form (such as alphabets, numbers, or symbols) that refer to, or represent, conditions, ideas, or objects. Data is limitless and present everywhere in the universe. See also information and knowledge.
2.Computers: Symbols or signals that are input, stored, and processed by a computer, for output as usable information.
Data is a set of values of qualitative or quantitative variables; restated, pieces of data are individual pieces of information. Data is measured, collected and reported, and analyzed, whereupon it can be visualized using graphs or images.
Generally and in science, data is a gathered body of facts.
Data, information and knowledge are closely related terms, but each has its own role in relation to the other. Data is collected and analyzed to create information suitable for making decisions,[3] while knowledge is derived from extensive amounts of experience dealing with information on a subject. For example, the height of Mt. Everest is generally considered to be data. This data may be included in a book along with other data on Mt. Everest to describe the mountain in a manner useful for those who wish to make a decision about the best method to climb it. Using an understanding based on experience climbing mountains to advise persons on the way to reach Mt. Everest 's peak may be seen as "knowledge".
Types of Data
Data can be qualitative or 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
Bibliography: 3. P. Beynon-Davies (2002). Information Systems: An introduction to informatics in organisations. Basingstoke, UK: Palgrave Macmillan. ISBN 0-333-96390-3. 4. P. Beynon-Davies (2009). Business information systems. Basingstoke, UK: Palgrave. ISBN 978-0-230-20368-6. 6. P. Checkland and S. Holwell (1998). Information, Systems, and Information Systems: Making Sense of the Field. Chichester, West Sussex: John Wiley & Sons. pp. 86–89. ISBN 0-471-95820-4.