File Name: distinguish between data and information .zip
Data and information are similar concepts, but they are not the same thing.
Data is a raw and unorganized fact that required to be processed to make it meaningful. Data can be simple at the same time unorganized unless it is organized. Generally, data comprises facts, observations, perceptions numbers, characters, symbols, image, etc. Data is always interpreted, by a human or machine, to derive meaning. So, data is meaningless.
In a time when data is becoming easily accessible to researchers all over the world, the practicality of utilizing secondary data for research is becoming more prevalent, same as its questionable authenticity when compared with primary data. These 2 types of data, when considered for research is a double-edged sword because it can equally make a research project as well as it can mar it. In a nutshell, primary data and secondary data both have their advantages and disadvantages. Therefore, when carrying out research, it is left for the researcher to weigh these factors and choose the better one. It is therefore important for one to study the similarities and differences between these data types so as to make proper decisions when choosing a better data type for research work. Primary data is the kind of data that is collected directly from the data source without going through any existing sources. It is mostly collected specially for a research project and may be shared publicly to be used for other research.
The terms "data" and "information" are sometimes misinterpreted as referring to the same thing. However, they are not the same. Data is a collection of values. Those values can be characters , numbers, or any other data type. If those values are not processed, they have little meaning to a human. Information is data that was processed so a human can read, understand, and use it.
Data are units of information , usually numeric, that are collected through observation. Although the terms "data" and "information" are often used interchangeably, these terms have distinct meanings. In some popular publications, data are sometimes said to be transformed into information when they are viewed in context or in post-analysis. Data are used in scientific research , businesses management e. Data are measured , collected and reported , and analyzed , whereupon it can be visualized using graphs, images or other analysis tools.
There is a subtle difference between data and information. Data are the facts or details from which information is derived. Individual pieces of data are rarely useful alone. For data to become information, data needs to be put into context. Data are simply facts or figures — bits of information, but not information itself.
Data is a raw and unorganized fact that is required to be processed to make it meaningful whereas Information is a set of data that is processed in.
Unlike data, Information serves to be meaningful facts, figures and values that can be used for deriving benefit, creating reports, making decisions or filing away data for historical usage.
The main difference between Data and Information is that Data is the random, unorganized raw fact about something that needs to be organized before its use whereas Information is the data that has been processed and organized into a useful context. Collection of data is first and foremost important task during any type of research. Data indicates the statistics or facts collected by the researcher for analysis in their original form.
Так вот… - Соши шумно вздохнула. - Похоже, я ошиблась. - Что?! - чуть не подпрыгнул Джабба.
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