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I am not sure about the "at least 8" part of the question. The answer to the question the difference between data and information is simple. Information is derived from data. In other words data can be transformed or refined into information. Information can then be again stored as data, such as placing the information into a "DATAbase"...where more information can then be gleaned from it. For example, a temperature reading from a thermometer would be a piece of data. If you recorded the data over and over again you could then find out information from it, like at certain times the temperature rises or falls (depending on what you are measuring).
If the same data is already in the floppy disk or any other disk, and you are again copying the same data, then it is called the overwriting ..
You can delete the game and put it back on your device to erase all the data.
The instructions of a program generally direct the computer to perform three basic functions over and over again. These functions are input, processing and output. Collectively, these functions operate the data processing cycle.
The data only needs to be input once, but can be manipulated over and over again. For instance, you have a spreadsheet of customer's addresses, you could use that data in a mail-merge. Then use the same customer data to generate reports, invoices, and so on.
Do the experiment again and again to confirm the data is correct If the data is consistent then your hypothesis is wrong and you need to think of a new one that fits the data.
reccuring, happening again and again
Data processing is a process in which raw data is converted in usable format or information Data processing cycle - data is processed again and again to get desired or accurate results for more details visit - http://www.relyservices.com
If you don't have a backup for data then your business can lose all of its proprietary information. Backups help organizations get the information they lost back.
Discrete data. Ideally over a relatively narrow spread.Discrete data. Ideally over a relatively narrow spread.Discrete data. Ideally over a relatively narrow spread.Discrete data. Ideally over a relatively narrow spread.
constant, over and over...