Classification of data involves arranging raw data into homogeneous groups according to common characteristics to aid in comparison and analysis. The objectives of classification are to highlight important data characteristics quickly, separate optional elements from prominent data, allow statistical analysis of collected materials, and consolidate data so that figures can be ordered into sections with common traits. There are several types of classification including geographical, chronological, qualitative, quantitative, and simple classification based on attributes like location, time, descriptive qualities, measurable quantities, or a single attribute respectively.

1. CLASSIFICATION OF DATA

2. Meaning
• It is the process of arranging data into homogeneous (similar)
groups according to their common characteristics.
• Raw data cannot be easily understood, and it is not fit for
further analysis and interpretation. Arrangement of data helps
users in comparison and analysis.

3. • A planned data analysis system makes the fundamental data
easy to find and recover.
• Once a data -classification scheme has been designed, the
security standards that stipulate proper approaching practices
for each division and the storage criteria

4. Objectives of Classification of Data
• To aid comparison
• To point out the important characteristics of the data at a flash
• To give importance to the prominent data collected while
separating the optional elements.

5. • To allow a statistical method of the materials gathered
• To consolidate the volume of data in such a way that
similarities.
• Figures can consequently be ordered in sections with common
traits.

6. Example
• For example, the population of a town can be grouped
according to sex, age, marital status, etc.
• Classifying the needs and wants of people

7. Types of Classification of Data
• Geographical classification
• Chronological classification
• Qualitative Classification
• Quantitative Classification
• Simple Classification

8. Geographical classification
• Geographical classification (or) Spatial Classification Some data
can be classified area-wise, such as states, towns etc.
• These classification are done based on the geographical area.

9. CHRONOLOGICAL CLASSIFICATION
• When data is classified with respect to time, it is called
Chronological Classification.
• Chronological or Temporal or Historical Classification Some
data can be classified on the basis of time and arranged
chronologically or historically.

10. QUALITATIVE CLASSIFICATION
• The classification of data on the basis of descriptive or
qualitative characteristics like region, caste, sex, gender,
education, etc.,
• In Qualitative classification, data are classified on the basis of
some attributes or quality such as sex, colour of hair, literacy
and religion

11. QUANTITATIVE CLASSIFICATION
• The classification of data on the basis of the characteristics,
such as age, height, weight, income, etc., that can be measured
in quantity.
• For example, the weight of students in a class can be classified
as quantitative classification.

12. SIMPLE CLASSIFICATION
• When based on only one attribute, the given data is classified
into two classes, which is known as Simple Classification.
• It involved less process than other.

13. • There also exists several ways to record these kinds of data's
classified.
• GRAPHICAL METHODS
• TABULATION
• PIECHART
• DIAGRAM