Graphics allow you to visualize better the information obtained to collect the data. The graphics may be bars, lines, circular, pictograms, etc. In the first basic cycle, you will only meet bar graphs and pictograms.

A study or investigation, including collecting data on various types of demographic variables, is enhanced with the development of different types of graphical statistics.

The great merit of these instruments is that the data are almost instantly transformed into information, and can be - in general - analyzed almost in an intuitive way

It is a graph where the abstract elements (such as bars) shall be replaced by drawings on the subject of what you are graphing. That Yes: its size should be proportional to the frequency you represent; for clarity, it is suggested to indicate it. The image is eloquent: discusses the results of a survey seeking to know how many times a week people eat fruits or vegetables.

A glyph is a graph that uses an allusion to the theme figure to represent the frequency.

**For example:**

Month's Birthday boys and girls of course.

Each represents a boy or girl who is having the birthday that month. So then on March, five children or girls are having the birthday.

Graphic bar, Also known as a column chart, a bar graph is a diagram whose bars or columns are proportional to the values that they represent. They are used to compare values since its representation makes it visible.

Graphics are used to illustrate and present a set of data related to each other, so as to facilitate their understanding, comparison, and analysis.

- Graphic representations allow us to learn, analyze and compare quickly and visual data on the evolution of one or several magnitudes, over time, in one or several places.

- Facilitate the understanding of the facts and the relationships that exist among them.

- Representations are made in the form provided.

According to the characteristics and the amount of data, you should use one or another graphic.

There may be different types of graphs, each of which will help us to a greater or lesser extent to display information that is studied. In this opportunity, we will discuss linear graphics.

We can summarize saying that the biggest advantage of work expressing information in different types of graphical statistics, is that all they will give us precise and quick Assembly of data obtained in the study or research in question.

A detail that is important to point out is that there are various types of graphical statistics and that each of will be suitable for different kinds of studies. In other words, there are studies which seek to compare, and others seek to detect majorities or minorities, others want to determine trends, other incidents, etc.

In all cases, one, in particular, is more suitable and precise graphic. The most common statistical graphics are:

(a) linear graphs

- They are used to represent the evolution of one or more variables over time.

- Allow a visual analysis of data and facilitate comparisons between different variables are described.

- On a Cartesian axis (horizontal x: and Y: vertical) will be transferring data or values of the (s) variable (s) that we are going to analyze.

- The axis X represents time; on the axis and values.

- Are designated points. Each period corresponds to time in the value of its frequency.

- Means of linear segments join consecutive points.

A bar chart is usually expressed by the elevation of different colored bars (can be horizontal) information that attempts to elucidate an only appearance among a group of respondents. Depends on how the vertical axis has been graduated "and" will be expressed in different units or values the impact of the results in question. It can be used to represent percentages, but in this circumstance usually being the chosen chart type to another. Here is an example of this kind of graphics, which emulates be responses among a group of students about what is the matter that most enjoy studying at the school.

As we pointed out before, this is precisely the type of chart to represent percentages in a situation similar to the previous. Here is an example of this kind of graphics, where a survey of attendees at a school hair color is emulated.

It is a graphical representation of a variable determined through bars, in which its surface is proportional to the frequency of the found values. The vertical axis marks the frequencies and the possible horizontal values for the variables. Here is an example.

It is a type of linear graph we use for the representation of the response of a quantitative variable incidence. The polygon comes from joining the midpoints of the upper foundations of a diagram of bars, and even of histogram bars. Here is an example of this type of statistical graphics.