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Definition Raw dataRaw data or primary data are collected directly related to their object of study. When people are the subject of an investigation, we may choose the form of a, an or an.Surveys especially present the advantage that they allow for a vast array of options in terms of analysis.Only if we can access all of the primary data of a survey, i.e. The individual responses of all respondents on all issues of an investigation, can we calculate distributions or correlations and such. In contrast to raw data, we speak of secondary data if the data have already been aggregated and thus no longer contain all of the information of the original investigation.
'This database contains life tables for national populations and, whenever available, the raw data used in constructing these tables.' Definition Raw data Raw data or primary data are collected directly related to their object of study (statistical units). When people are the subject of an investigation, we may choose the form of.
The two columns to the right of the left-most column in this computerized table are raw data.Raw data, also known as primary data, is data (e.g., numbers, instrument readings, figures, etc.) collected from a source. In the context of examinations, the raw data might be described as a raw score.If a scientist sets up a computerized which records the temperature of a chemical mixture in a test tube every minute, the list of temperature readings for every minute, as printed out on a spreadsheet or viewed on a computer screen is 'raw data'. Raw data has not been subjected to processing, 'cleaning' by researchers to remove, obvious instrument reading errors or data entry errors, or any analysis (e.g., determining aspects such as the or result). As well, raw data has not been subject to any other manipulation by a software program or a human researcher, analyst or technician. It is also referred to as primary data.
Raw data is a relative term (see ), because even once raw data has been 'cleaned' and processed by one team of researchers, another team may consider this processed data to be 'raw data' for another stage of research. Raw data can be inputted to a or used in manual procedures such as analyzing from a. The term 'raw data' can refer to the data on electronic storage devices, such as hard disk drives (also referred to as 'low-level data').
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Contents.Generating data Data has two ways of being created or generated. The first is what is called 'captured data', and is found through purposeful investigation or analysis. The second is called 'exhaust data', and is gathered usually by machines or terminals as a secondary function. For example, cash registers, smartphones, and speedometers serve a main function but may collect data as a secondary task.
Exhaustive data is usually too large or of little use to process and becomes 'transient' or thrown away.Examples In, raw data may have the following attributes: it may possibly contain human, machine, or instrument errors, it may not be validated; it might be in different areen formats; or unformatted; or some entries might be 'suspect' (e.g., ), requiring. For example, a data input sheet might contain dates as raw data in many forms: '31st January 1999', ', '31/1/99', '31 Jan', or 'today'.
Once captured, this raw data may be stored as a normalized format, perhaps a, to make it easier for computers and humans to interpret during later processing. Raw data (sometimes colloquially called 'sourcey' data or 'eggy' data, the latter a reference to the data being 'uncooked', that is, 'unprocessed', like a raw ) are the data input to processing.
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A distinction is made between data and information, to the effect that information is the end product of data processing. Raw data that has undergone processing are sometimes referred to as 'cooked' data in a colloquial sense. – Although raw data has the potential to be transformed into ',' extraction, organization, analysis and formatting for presentation are required before raw data can be transformed into usable information.For example, a (POS terminal, a computerized ) in a busy supermarket collects huge volumes of raw data each day about customers' purchases. However, this list of grocery items and their prices and the time and date of purchase does not yield much information until it is processed.
Once processed and analyzed by a or even by a researcher using a pen and paper and a, this raw data may indicate the particular items that each customer buys, when they buy them, and at what price; as well, an analyst or manager could calculate the average total sales per customer or the average expenditure per day of the week by hour. This processed and analyzed data provides information for the manager, that the manager could then use to help her determine, for example, how many cashiers to hire and at what times. Such information could then become data for further processing, for example as part of a predictive campaign.
As a result of processing, raw data sometimes ends up being put in a, which enables the raw data to become accessible for further processing and analysis in any number of different ways.(inventor of the ) argues that sharing raw data is important for society. By by of the his call to action is, meaning that everyone should demand that governments and businesses share the data they collect as raw data. He points out that 'data drives a huge amount of what happens in our lives because somebody takes the data and does something with it.' To Berners-Lee, it is essentially from this sharing of raw data, that advances in science will emerge. Advocates of argue that once citizens and civil society organizations have access to data from businesses and governments, it will enable citizens and NGOs to do their own analysis of the data, which can empower people and civil society.
For example, a government may claim that its policies are reducing the, but a advocacy group may be able to have its staff do their own analysis of the raw data, which may lead this group to draw different conclusions about the data set.Further reading. the blog post from Rufus Pollock that Tim Berners-Lee.References.
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