It is a graphical representation that handles different statistics. Its usefulness is based on seeing or showing the possibility of establishing in a visual, orderly and easy way the numerical and statistical data that can become complicated to understand. There are several types of histograms that variously display many types of information.

They are normally used in statistics, with the intention of graphically displaying numbers, variables and figures so that the results are visually clear and ordered. It is almost always presented in bars, since it is much easier to understand them in this way, depending on how they are used, the branches in which it provides the most data are the social sciences, in fact social data can be compared such as census results, level illiteracy or infant mortality.

The focal points of a histogram are the following:

  • Perform a data distribution analysis.
  • Check the degree of compliance with the specifications.
  • Evaluate the effectiveness of solutions.

There are also two types of basic information for the elaboration of the histograms, which are the complexity, the design, the frequency of the values ​​and the values ​​themselves. Normally, the frequencies are represented on the vertical axis, while the values ​​of each of the variables are represented on the horizontal axis (which appear in the histogram as two- or three-dimensional bars).

Histogram Types:

  • Simple bars: they are the most used.
  • Composite bars: they allow information about two variables to be entered.
  • Of grouped bars: they are governed by specific information.
  • Frequency polygon and percentage warhead: Both are commonly used by experts.

Despite the complexity with which this definition is treated, there is enough material regarding the creation of these statistical graphs. The accumulated frequencies according to experts are easier to represent in the histograms, since two different situations are shown quite clearly in the bars, for example: comparing one date with another or one period with another, in order to facilitate its understanding. . Another frequent way is to represent two histograms of the same variable with two examples, very similar to the previous one but starting from completely different situations. There are also ordinal quantitative and qualitative variables that can be presented in the form of frequency polygons instead of histograms, in this case when it is a cumulative graph it would become an ogive.