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CLASSIFICATION
OF
DATA
What is classification of data?
Data classification is the
process of organizing
data into categories for
its most effective and
efficient use.
A well- planned data
classification system makes
essential data easy to find
and retrieve.
3 - 4
Types of Data
Recognizing and understanding the
different data types is an important
component of proper data use and
interpretation.
Reviewed 15 April 2005 /MODULE 2
3 - 5
Data are often discussed in terms of
variables, where a variable is:
Any characteristic that varies from
one member of a population to
another.
A simple example is height in
centimeters, which varies from
person to person.
Data and Variables
TYPES OF DATA
QUALITATIVE DATA
QUANTITATIVE OR INTERVAL
DATA(measurements)
CHRONOLOGICAL BASE
TEMPORAL BASE
1. QUALITATIVE DATA
A. NOMINAL, ATTRIBUTE OR CATEGORICAL DATA:
Examples:
1. Gender
2. Religion
3.Countries
4. Civil Status
1.QUALITATIVE DATA
B. Ordinal or Ranked Data: one value is greater
or less than another, but the magnitude of the
difference is unknown.
EXAMPLES:
1. Student Performance(outstanding, very
satisfactory, satisfactory, unsatisfactory)
2. Income (10, 000.00- 15, 000.00, 20, 000.00- 50, 000.00)
II. QUANTITATIVE OR INTERVAL DATA
(measurements)
A. Discrete or Meristic Data (whole number
counts)
EXAMPLES:
1. Number of students in the classroom
2. Number of pets at home
3. Number of children in family
 B. Continuous Measurements (rational numbers, limited by
the accuracy of your measurements)
 EXAMPLES:
1. Height
2. Weight
3. Grades
III. Chronological base
Data are classified by geographical regions or
locations, like states, provinces, cities,
countries.
IV. Temporal base
Data are classified or arranged by their time
occurrence, such as years, months, weeks,
days, etc.,
Types of Classification
One-way Classification
Two-way Classification
Multi-way Classification
I. One-way Classification
Data keeping are viewed by single characteristics
Example:
population of the world are classified by religion
II. Two-way Classification
We consider two characteristics at a time
Example:
population of the world are classified according to
religion and sex
III. Multi-way Classification
We consider more than two characteristics at a
time
Example:
population of the world are classified according to
religion, sex and literacy

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Classification of data

  • 2. What is classification of data? Data classification is the process of organizing data into categories for its most effective and efficient use.
  • 3. A well- planned data classification system makes essential data easy to find and retrieve.
  • 4. 3 - 4 Types of Data Recognizing and understanding the different data types is an important component of proper data use and interpretation. Reviewed 15 April 2005 /MODULE 2
  • 5. 3 - 5 Data are often discussed in terms of variables, where a variable is: Any characteristic that varies from one member of a population to another. A simple example is height in centimeters, which varies from person to person. Data and Variables
  • 6. TYPES OF DATA QUALITATIVE DATA QUANTITATIVE OR INTERVAL DATA(measurements) CHRONOLOGICAL BASE TEMPORAL BASE
  • 7. 1. QUALITATIVE DATA A. NOMINAL, ATTRIBUTE OR CATEGORICAL DATA: Examples: 1. Gender 2. Religion 3.Countries 4. Civil Status
  • 8. 1.QUALITATIVE DATA B. Ordinal or Ranked Data: one value is greater or less than another, but the magnitude of the difference is unknown. EXAMPLES: 1. Student Performance(outstanding, very satisfactory, satisfactory, unsatisfactory) 2. Income (10, 000.00- 15, 000.00, 20, 000.00- 50, 000.00)
  • 9. II. QUANTITATIVE OR INTERVAL DATA (measurements) A. Discrete or Meristic Data (whole number counts) EXAMPLES: 1. Number of students in the classroom 2. Number of pets at home 3. Number of children in family
  • 10.  B. Continuous Measurements (rational numbers, limited by the accuracy of your measurements)  EXAMPLES: 1. Height 2. Weight 3. Grades
  • 11. III. Chronological base Data are classified by geographical regions or locations, like states, provinces, cities, countries.
  • 12. IV. Temporal base Data are classified or arranged by their time occurrence, such as years, months, weeks, days, etc.,
  • 13. Types of Classification One-way Classification Two-way Classification Multi-way Classification
  • 14. I. One-way Classification Data keeping are viewed by single characteristics Example: population of the world are classified by religion
  • 15. II. Two-way Classification We consider two characteristics at a time Example: population of the world are classified according to religion and sex
  • 16. III. Multi-way Classification We consider more than two characteristics at a time Example: population of the world are classified according to religion, sex and literacy