Example of Types of Statistical Charts

When a study is carried out in order to obtain results statistics, the correct and usual way to present these results is through statistical graphs.
When you are not a professional statesman, it is common to face endless models of graphics presented to us by the different computer programs, if you have that problem, you have come to the right place, here we present the 5 most common types of statistical graphs and your priorities:

• Diagram
  It is the most common type of graph and consists of vertical or horizontal barriers that present a competition between categories, likewise, it can be used With nominal and ordinal variables, the X-axis must contain a discrete variable with values ​​and the Y-axis can contain frequencies of any kind.
  
• Histogram
  It is a type of graph that is recommended to represent data with frequency density and is calculated considering a type of frequency between amplitude. In this graph the variables must be of ratio interval, the X axis must contain a continuous variable and grouped into intervals according to amplitude, while the Y-axis must contain a density of frequencies.
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• Polygons
  It is a graph designed to group segments that join the midpoints of the variables and reflect the value in the frequencies and locate the attention on the vertical axis; It is used to represent trend or time to check two or more samples.
  The variables that must be represented in this graph must have a ratio interval, and the axes must contain relative frequencies.
  
• Lines and points
  It is a type of graph that is used to represent time, so the variables must consist of series time, placing the time on the X axis and the values ​​of the variable or the values ​​on the Y axis. frequencies.
  
• Sectors or Foot
  It is a graph of very common use, since it can be used with all kinds of variables, in addition, there are no axes. This graph consists of a circle divided into sectors, each sector represents the proportional sequence of a category. It is a type of graph especially useful when handling proportions and percentages of a total of cases.

Example of Types of statistical graphs