The box plot is the graphical representation of a statistical series . It shows the smallest and largest value and the median value. It is therefore the illustration of the variables of a series which allows to quickly interpret the distribution of the data.
Creating a box russia phone data plot is done in several steps.
First, it will be useful to order the series of values. To perform a calculation with a box plot, it will be necessary to classify the series of data in ascending order. It will thus be possible to find the two values located in the middle of the sequence and calculate the median.
Another step is identifying the values. The two easiest values to determine are the smallest and the largest. To determine the median value, you will need to do a calculation. To do this, you will need to take into account the two values located in the middle of the data. You will then need to add these two values to each other and divide the result by two. This will give you the average. The series of values will then be divided into two halves. The median value corresponds to the first quartile.
It is then essential to draw the box plot . To do this, you will need to draw a straight line graduated according to a defined scale. This line corresponds to the sequence of values. A vertical line will then be integrated which will represent the median. It will then be necessary to place two other vertical lines corresponding to the first and third quartiles. It will be necessary to connect these three markers via lines which will form boxes. Finally, it will be necessary to place two points which represent the smallest and the largest value. A line connecting the two points to the box will complete the creation of the box plot .
Use case of a box plot
The box plot is mainly used to visualize concepts like symmetry, dispersion, centrality of the distribution of different values associated with a variable. It can also be used to compare different variables (with similar scale) or observation values of groups of individuals. This box plot is used for different cases.
Visualizing large data sets
Summarizing data sets into 5 groups allows you to process and present a summary of a large amount of data . This organization is an efficient way to process large data.
Do not keep exact values
The box plot is just a simple summary of the distribution of the results . This will make it easier to compare this data to other data.
Have a clear summary
The box plot is a clear way to visualize a summary or multiple data sets. This will make it possible to compare the results. With its graphical representation, the box plot offers a graphical representation of the results and offers the possibility to make a more in-depth analysis of the indications on the symmetry of the data.
See outliers easily
It will be much easier to spot outliers (which are data results that fall outside the minimum and maximum values) with this chart as well as obscure results. This will make the job faster and easier.
The box plot and other data visualization tools
The box plot is comparable to other visualization tools like histograms . Both of these show the two shapes of the data.
These two elements distinguish between unusual points and outliers. It is often found that it is useful to use these two types of graphs with the data. The box plot will be ideal for distinguishing the coefficient of symmetry . Indeed, the line of asymmetry will be present since the median line is not close to the center of the box. However, the box plot differentiates the 25th and 75th percentiles much better than the histogram. The latter will be ideal for distinguishing the overall shape of the data and this much better than a box plot.
Other data visualization tools that can be used in conjunction with the box plot include: