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A statistics graph or chart is characterized as the pictorial representation of statistical data in graphical form. The statistical graphs are offered to stand for a collection of data to make it simpler to understand and also interpret statistics information. There are several types of graphics. The an option depends ~ above the type of data collected and the information you want to transmit. Each has actually a collection of benefits and disadvantages.

The following are the species of graphs available:

1)Line Graph:

They are formed by lines.On the horizontal axis is the time variable.Allows because that various types of comparisons.It permits studying the sport of a variable over time.It go not conveniently identify the continuity of the variation.


2)Pie Chart:

A one is separated into sectors.The pie chart is actually a an extremely clever visual style that conveys one fact above all others with a minimum of intuitive cues: that the one (the “pie”) to represent some kind of whole, i beg your pardon is consisted of of the parts. Include up every the parts and also you gain the finish pie.The amplitude of each sector is proportional come the corresponding frequency. It is beneficial when the ratios evaluation is more important than the really value. It has a solid visual impact.It need to only be supplied when the variable takes a couple of values.A solitary chart go not permit you to compare two groups of data.


3)Stacked bar:

The stack bar chart (aka stacked bar graph) extends the standard bar graph from looking in ~ numeric values throughout one categorical variable to two.Each bar in a standard bar graph is divided into a variety of sub-bars stacked end to end, every one corresponding to a level the the second categorical variable.

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4) Embedded:

Informally, an embedding of a graph into a surface is a drawing of the graph ~ above the surface in together a means that the edges may intersect just at your endpoints.It is famed that any finite graph can be embedded in 3-dimensional Euclidean space.Graph embedding is strategy that is supplied to change nodes, edges, and their attributes into vector space (a reduced dimension).