Generally, the input and output devices are considered a communication tool, through which a certain system for information processing (like the computer) delivers another information to the users. The data or signals the computer receives from a source, are known as an input, while the response data and information which are processed as a reaction to these inputs, and which are further transmitted to a certain destination are known as an output. On a computer with a general purpose commonly used input devices are, for example, the mouse and keyboard, and examples of output devices are the monitor, printer, speakers and so on.
Difference between Input and Output device:
1.Description
An input device is any hardware device which enables user to enter data and instructions into a computer. An output device is any hardware component that use received data from a computer to perform a task.2.Functionality:
An input device can send data to another device but it can not receive data from another device where an output device can receive data from another device and generate output with that date, but it can not send data to another device.
3.Necessity:
Input devices are necessary for a computer to receive data from another device. But output devices are necessary for a computer to share it's results and prompt users for more information and command.
4.Control:
Input devices Are controlled by the user where output devices are controlled by the computer.
Img:Input devices
Output devices
Data processing into computer:
Data processing occurs when data is collected and translated into usable information.Data processing starts with data in its raw form and converts it into a more readable format (graphs, documents, etc.), giving it the form and context necessary to be interpreted by computers.
There are six stages to input data into computer,those are:
1.Data Collection:
Collecting data is the first step in data processing. Data is pulled from available sources
2.Data Preparation:
Once the data is collected, it then enters the data preparation stage. Data preparation, often referred to as “pre-processing” is the stage at which raw data is cleaned up and organized for the following stage of data processing.
3.Data Input:
The clean data is then entered into its destination and translated into a language that it can understand. Data input is the first stage in which raw data begins to take the form of usable information.
4.Processing:
During this stage, the data inputted to the computer in the previous stage is actually processed for interpretation. Processing is done using machine learning algorithms, though the process itself may vary slightly depending on the source of data being processed and its intended use.
5.Data Output:
The output stage is the stage at which data is finally usable to non-data scientists. It is translated, readable, and often in the form of graphs, videos, images, plain text, etc. Members of the company or institution can now begin to self-serve the data for their own data analytics projects.
6.Data Storage:
The final stage of data processing is storage. After all of the data is processed, it is then stored for future use. While some information may be put to use immediately, much of it will serve a purpose later on.
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