What is Organisation of Data Class 11: Definition & Concepts Explained
By ConceptScroll Team · Published on 19 June 2026 · 3 min read
Organisation of Data class 11 refers to the systematic arrangement of collected data in a structured form. This process helps students understand and analyse data easily, making it a crucial topic in the NCERT Economics syllabus.
Understanding Organisation of Data in Class 11 Economics
Organisation of data is a fundamental concept in the Class 11 Economics NCERT syllabus. It involves arranging collected data in a systematic and orderly manner. This helps in simplifying complex information, making it easier to interpret and analyse.
Data collected from surveys, experiments, or observations is often raw and unstructured. Organisation transforms this raw data into a format that can be used to draw meaningful conclusions. This process is essential for economists and statisticians to make informed decisions.
Types of Data: Primary and Secondary
Data is broadly classified into two types:
- Primary Data: Data collected firsthand by the researcher through surveys, interviews, or experiments.
- Secondary Data: Data obtained from existing sources like books, government reports, or online databases.
Understanding these types is important because the organisation process varies slightly depending on the data source. Primary data requires careful collection and validation, while secondary data needs verification for relevance and accuracy.
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Steps in Organisation of Data
The organisation of data follows several important steps:
1. Collection of Data: Gathering raw data from various sources. 2. Classification: Grouping data into categories based on common characteristics. 3. Tabulation: Presenting data in tables for easy comparison. 4. Presentation: Using charts, graphs, or diagrams to visually represent data.
Each step helps in refining the data and making it more accessible for analysis.
Classification of Data: Qualitative vs Quantitative
Data can also be classified based on its nature:
| Type | Description | Example |
|---|---|---|
| Qualitative | Descriptive data, non-numeric | Colour, Gender |
| Quantitative | Numeric data, measurable | Age, Income |
This classification aids in choosing the right methods for organisation and analysis.
Tabulation: Organising Data into Tables
Tabulation is the process of summarising data in rows and columns. It simplifies large volumes of data and highlights patterns.
Example: Suppose a survey collected data on students' favourite subjects:
| Subject | Number of Students |
|---|---|
| Mathematics | 40 |
| Economics | 30 |
| History | 20 |
This table helps quickly understand the popularity of subjects among students.
Worked Example: Calculating Frequency Distribution
Consider the marks obtained by 10 students in an exam:
55, 60, 65, 70, 55, 60, 65, 70, 75, 80
To organise this data, we create a frequency distribution table:
| Marks | Frequency |
|---|---|
| 55 | 2 |
| 60 | 2 |
| 65 | 2 |
| 70 | 2 |
| 75 | 1 |
| 80 | 1 |
This organised data helps in analysing the performance distribution easily.
Frequently asked questions
What is the meaning of organisation of data in Class 11?
It means arranging collected data systematically to simplify analysis and interpretation.
Why is classification important in data organisation?
Classification groups data into categories, making it easier to understand and analyse.
What are the main types of data in Economics?
Primary data collected firsthand and secondary data obtained from existing sources.
How does tabulation help in organising data?
Tabulation summarises data in tables, highlighting patterns and simplifying comparison.
Can you give an example of organising data?
Yes, creating a frequency table from raw marks data is a common example.
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