What is Data Collection - Nature, Types & Examples | Statistics

What is Collection of Data - Nature, Types & Examples | Statistics

Data Collection: 

Everybody collects, interprets and uses information, much of it in a numerical or statistical form in day-to-day life. It is a common practice that people receive large quantities of information everyday through conversations, televisions, computers, the radios, newspapers, posters, notices and instructions.

It is just because there is so much information available that people need to be able to absorb, select and reject it. In everyday life, in business and industry, certain statistical information is necessary and it is independent to know where to find it how to collect it.

Data Collection, Data Collection in Statistics, Primary data, Secondary data, time series data, spatial data, Quality data Collection, data collection methods, data collection tools, data collection plan, data collection tools examples, data collection definition, data collection and analysis
Data Collection

As consequences, everybody has to compare prices and quality before making any decision about what goods to buy. As employees of any firm, people want to compare their salaries and working conditions, promotion opportunities and so on. In time the firms on their part want to control costs and expand their profits.

One of the main functions of statistics is to provide information which will help on making decisions. Statistics provides the type of information by providing a description of the present, a profile of the past and an estimate of the future.

The following are some of the objectives of collecting statistical information.

1. To describe the methods of collecting primary statistical information.
2. To consider the status involved in carrying out a survey.
3. To analyse the process involved in observation and interpreting.
4. To define and describe sampling.
5. To analyse the basis of sampling.
6. To describe a variety of sampling methods.

Statistical investigation is a comprehensive and requires systematic collection of data about some group of people or objects, describing and organizing the data, analyzing the data with the help of different statistical method, summarizing the analysis and using these results for making judgments, decisions and predictions.

The validity and accuracy of final judgement is most crucial and depends heavily on how well the data was collected in the first place.

The quality of data will greatly affect the conditions and hence at most importance must be given to this process and every possible precaution should be taken to ensure accuracy while collecting the data.

Nature of data:

It may be noted that different types of data can be collected for different purposes. The data can be collected in connection with time or geographical location or in connection with time and location.

The following are the three types of data:
1. Time series data.
2. Spatial data
3. Spacio-temporal data.

Time Series Data

It is a collection of a set of numerical values, collected over a period of time. The data might have been collected either at regular intervals of time or irregular intervals of time.

Spatial Data:

If the data collected is connected with that of a place, then it is termed as spatial data.
For example, the data may be
1. Number of runs scored by a batsman in different test matches in a test series at different places
2. District wise rainfall in Tamilnadu
3. Prices of silver in four metropolitan cities

Spacio Temporal Data:

If the data collected is connected to the time as well as place then it is known as spacio temporal data.

Categories of data:

Any statistical data can be classified under two categories depending upon the sources utilized.

These categories are,

Primary Data:


Primary data is the one, which is collected by the investigator himself for the purpose of a specific inquiry or study. Such data is original in character and is generated by survey conducted by individuals or research institution or any organisation.

Secondary Data:


Secondary data are those data which have been already collected and analysed by some earlier agency for its own use; and later the same data are used by a different agency. 

According to W.A.Neiswanger, ‘A primary source is a publication in which the data are published by the same authority which gathered and analysed them. A secondary source is a publication, reporting the data which have been gathered by other authorities and for which others are responsible’.

Data Collection In Statistics - An Introduction