Understanding Data – Data Examples, Types, Methods and Functions
Understanding Data – Data Examples, Types, Methods and Functions

Understanding Data – Data Examples, Types, Methods and Functions

Understanding data according to experts – What is data? The following is a paper on sample material, data types, methods and functions. Data is a collection of information or information. Well, to know a more complete explanation of the data, see the Paper Material explanation below.

Understanding data


data – is a collection of information or also information – a description of something obtained through observation or a search at certain sources. The data obtained may be an assumption or a fact because it has not been further processed. As it is then processed through research or experimentation, the data can be in a more complex form such as a database, information or even solutions for solving certain problems.

Sample data

Examples of data you may find include:

  • An employee named Z is logged in only 15 days in a month.
  • There was an accident on the road.
  • Persia won.
  • China managed to become the overall champion of the 2018 ASIAN GAMES.
  • Chicken price.
  • Fuel price increase.
  • Highschool student.
  • Carrot juice drink.
  • Road constructions.
  • The price of the latest smartphone laptops.
  • Vegetable prices.

1. Robert N. Antony then John Dearden

  • Data definition According to members John Dearden and Robert N. Antony, is the plural form of element data or the singular form of date.

2. Zulkifli AM

  • According to Zulkifli AM Data is a statement, evidence or fact about a fact that is still raw (original) that has not been processed.

3. Arikunto

  • According to Arikunto, data is defined as all facts and figures that can be used as material for compiling information.

4. Supriyanto and Ahmad Muhsin

  • In their view, data is the raw material of information or symbols that represent quantities, facts, actions, etc.

5. Kuswadi and E. Mutiara

  • Data according to E.Mutiara and Kuswadi is a collection of information obtained from an observation which can be in the form of numbers, symbols or properties.

Data type

Data is divided into several types, namely:

  • Primary data, i.e. data obtained or collected by the person conducting the research or the person in question who needs it. Primary data can also be called original data or new data.
  • Secondary data, which is data obtained or collected from existing sources. Secondary data is usually obtained from libraries or reports or documents by previous researchers. Secondary data is also known as available data.

  • Quantitative data, quantitative data is given in the form of numbers or qualitative data that is numbered
    example: number, score, learning outcomes, height, age, temperature, etc.
  • Data based on the time of collection Data based on the time of collection is data collected from time to time to provide an overview of the performance of an activity. example: milk sales data for the last 10 months, which is collected every month.

3. Data by obtaining them:

  • Primary data, which is data collected and processed by researchers directly from the subject or object of the research.
  • Secondary data, which are data obtained indirectly from the object or subject of the research.

4. According to the collection time

  • Cross-sectional / incidental, i.e. data collected only at a specific point in time
  • Periodic data / time series, i.e. data collected from time to time to describe an evolution or trend of circumstances / events / activities.

Data collection method

Data collection method

Data collection method-is a technique or method used by researchers to collect data. The data collection was carried out in order to obtain the necessary information in order to achieve the research objectives. In addition, the data collection tool is a tool used to collect data.

Some of the data collection methods include:

1. Interview

  • The interview is a data collection technique that is conducted through direct, face-to-face questions and answers between the researcher and the resource person. With the development of technology, the interview method can also be done through certain media such as the telephone, e-mail, or Skype.

2. Observation

  • Observation is a complex method of data collection because it involves various factors in its implementation. However, this method of observation does not only measure the attitude of the respondents, but can also be used to record various phenomena that occur.

3. Questionnaire (questionnaire)

  • A questionnaire is a method of collecting data by providing a set of questions or written statements to respondents to answer. In addition, the questionnaire method is a more effective method of data collection if the researcher knows with certainty the variables to be measured and what is expected from the respondents.

4. Study of documents

  • Document study is a method of data collection that does not directly address the research topic. Document study is a type of data collection that examines different types of documents that are useful for analysis.

Data function

  • to make the best decision in solving a problem,
  • can also be used as a basis for planning or research,
  • used as a reference in each implementation of an activity or activities and finally
  • This data can also be used as evaluation material.

This is our review of the data to add to your knowledge, hope you find it useful…

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