Data

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A simple presentation on data, data collection, data input, verification and validation.

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Data

  1. 1. DataData
  2. 2. Information and dataInformation and data • Data  consist of values stored inside the computer It does not mean muchmost of the time it is stored as coded data Information  added valueis meaningful to us Something that can make us do certain action.
  3. 3. Data collection and preparationData collection and preparation • Data is the main component when speaking about processing • Without data no output!!!!!!!!! • Data that we input has to be collected • Not always that data is also in a form that we can use! • Data has to be prepared!
  4. 4. • Analogue data data that can take any value such as temperature, lenght, weight. • Digital data  computers like digital data  it is data that cabe accepted by computer compouter might only accept values up to two decimals and similar. • Analogue data has to be converted into digital data prior using it at the computer.
  5. 5. Data input and checkingData input and checking • When we input data we have to make sure that no errors have been made. • For that purposes we have two types of checking that should be done on data input to a system: • Data verification • Data validation
  6. 6. • Data verificationchecking to make sure that taht what was input to the system was meant to be inputed. • i.e. Typing errors and similar. you should always double check or have two people check what has been keyed.how it is checked depends on the importance of data
  7. 7. • Data validation  making sure that the right sort of data has been input. • Computer does this by following set of rules. • It depends from your needs and software used
  8. 8. File organisation andFile organisation and techniquestechniques • File full set of data • File is to large and sometimes to comlex to find certain data • So it is split into smaller portions calledrecords • Record consist out of few smaller parts stored in a space and is called field • Each record is uniqely identified  key field

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