Data classification is the process of organizing data into categories for effective use. There are several types of data: qualitative data like nominal and ordinal data; quantitative or interval data that are measurements; and data classified by chronological or temporal bases. Qualitative nominal data categorizes attributes without order, while ordinal data ranks attributes. Quantitative data includes discrete counts and continuous measurements. Chronological data classifies by location and temporal data by time occurrence. Classification can be one-way based on a single characteristic, two-way based on two characteristics, or multi-way based on multiple characteristics.

1. 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