A box plot is a graphical representation of a distribution of a dataset. It is also known as a box-whisker plot. It has a compact summary of the main feature of data which includes its central tendency, spread, and potential outliers. Box plots are useful when you have to compare multiple datasets or visualize the distribution of a single dataset.

You can make a box plot using an online resource box plot calculator for better visualization of your data. Box plot maker helps in making your work easy for a large data set. You can easily see your data using a box and whisker plot maker.

## Construction of Box plot

Here is how a box plot is constructed:

### Box:

Here the box represents the interquartile range that is between the first quartile(Q1) and third quartile (Q3) of data. The box ranges from Q1 to Q3 which contains the middle 50% of the data. The length of a box represents the central portion of the data.

### Median:

A horizontal line is formed inside a box which represents the median of the data. It is a value that separates the lower 50% of the dataset from the upper 50% data.

### Whisker:

The whisker is a box that represents the minimum and maximum values with certain data. These values range from 1.5 times the IQR. Any data outside of this point lies outside of the range is considered as outlier and plotted as individual points.

### Outliers:

Any point outside the whisker is represented as dots or small circles. These points provide insight into potential irregularity or extreme values in a data set.

The box plot allows you to see a quick view of data distribution, the presence of outliers and the overall spreading of data. It is a quick and valuable tool to identify key characteristics of a dataset without examining a full histogram or other detailed plots.

Box plots are frequently used in a variety of domains, including statistics, data analysis, and data visualization, to obtain insights into data distribution and to compare different groups or datasets. You can create a box and whisker plot using a box plot calculator which is an online tool and free of cost.

## Features of Box Plot

- It displays data from a five-number summary that includes one of the measurements of central tendency. This indicates that it has five pieces of information.
- Specifically used to indicate whether or not the given dataset has a skewed distribution
- It also gives insight into the data set, indicating whether there are any potentially odd observations. These are known as outliers.
- It reflects information on the distribution of the data.
- The arrangements can be mixed and matched here. This is because the center, spread, and general range of a box plot are immediately visible.
- It is very beneficial for interpreting descriptive data.
- It is also useful for comparing large amounts of data collections
- A box plot calculator helps in finding and drawing a box plot for a given set of data.

A box plot is essentially an interval scale that is used to perform estimation, which requires data abstraction. Boxplots are utilized in data interpretation and analysis. It can also be used to display information. A boxplot is a graphical method for displaying the variance of data in a data distribution.

## Conclusion

A histogram can be used to illustrate data as well. When a box plot and a histogram are contrasted, the latter provides a more appropriate representation. It also provides additional information in relation to the multiple sets of data displayed in the same graph. A box plot calculator helps in drawing a box plot for a given set of data in a few seconds. Simply press the button and get a result.