pictorial representation of data using symbols is known as

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The symbol-based representation of data is known as a pictorial representation of data. The symbol-based representation is a type of graphical representation of data which uses non-traditional symbols.

Pictorial representations of data use the same type of symbols as traditional maps and charts. You can draw a simple picture using symbols, or you can use more sophisticated symbols. For example, you can use a circle for a location, a rectangle for a property, a square for a person, or even a star and a circle for a company.

This type of representation is also known as “spatial representation” because the symbols are used in a two-dimensional space, like a map. A pictorial representation of data is different because it uses icons, or symbols that are placed on a flat surface (such as a map or chart). You can use a circle for a location, a rectangle for a property, a square for a person, or even a star and a circle for a company.

What is a pictorial representation of data? Or, what is the difference between a spatial representation, a pictorial representation, and a representation in another space? The three most popular diagrams that are used for spatial, pictorial, and other representations of data are shown in the left. If you choose to represent a location as a circular shape, you’re using a pictorial representation of data. If you choose to represent a location as a square, you’re using a spatial representation of data.

For each of the three types of representation, there are a couple of things to keep in mind when choosing what to represent a location as. First, spatial representation is best if the location is a circle, square, or other shape that has a circle or square as its center. The most common shapes for this are circles and squares. The second is that pictorial representation is best used for locations that have a solid color that appears to be part of the background of the location.

This is because the human eye is the most sophisticated system by far, so visual representations that don’t convey that information are most likely to be ignored. The third is that most people find that using a solid color to represent a location helps convey an idea better.

As a way of representing data, we’re generally using symbols to represent data, but we need to use symbols to represent data. Symbols are really the most powerful tools you can use when representing data, so it really is a matter of when you use symbols.

A symbol is a word, picture, or sound that represents something. You can make a symbol that is two words, or a symbol that is just a picture, or you can make a symbol that is a picture with a word in it. When you use a symbol to represent a data point, you need to use the most powerful symbol you can make.

A lot of data points aren’t actually words or pictures, but they are made by other people using symbols to represent them. When you use symbols to represent data, it’s actually not that hard to find a few symbols that can represent anything. But there is a catch, they can only represent the same data point more than once, so that is the only way you can use symbols to represent data.

Well, the idea behind this is that if you use your symbols to represent data points more than once, you need to create a new symbol for each data point, because the more symbols you use to represent the same data point, the harder it will be to find a new symbol to represent it. This is especially true because it is a much more expensive process to create a new symbol just for an existing symbol.

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