Easier comparisons: It also makes the comparisons between the data sets easier and quicker.The bands inside box are the second quartile or the Median. The top and the bottom of the box are the first and the third quartiles. Uniformity: These plots are quite uniform.So, one can easily find out even the 2 nd, 9 th, 25 th, 50 th, 75 th, 98 th and 99 thpercentile along with the Median. These plots help to find the Median, Maximum, Minimum, 1 st Quartile (25%), 3 rd Quartile (75%). Various statistical values: Other than the points, these plots also helps one is estimating range, mid-range, mid-hinge, inter-quartile ranges, standard deviations and tri-mean.The spacing between various parts of the box shows the scenes and dispersion in the data. Skewness and dispersion: The box plats are not parametric.No Assumptions: These display the variations in samples without doing any kind of assumptions on the statistical distributions.Easy to use: It is a convenient way for depicting the numerical data groups in a graphical manner, especially with the help of quartiles.Given below are some of the main features and advantages: Step5: Draw 5 number summary: Draw plot lines and mark the Lowest, Highest points, Median and quartiles. Step4: Find 3 rd Quartile: find the median of the upper half of the data set Step3: Find 1 st Quartile: find the median of the lowest half of the data set Draw plot lines: Now, you will need to draw plot lines and mark the Median and quartiles.Įxample: Draw a Box plot for the following 15 pointsĢ3,28,44,72,66,54,89,91,26,24,59,74,81,36,77.Calculate 1 st and 3 rd quartiles: This can be found out by finding out the Median of each of the halves.And, if the data set has even set of numbers, the 2 numbers in the middle would have to be added up and averaged. If the data set has odd set of numbers, the Median would have an equal amount of numbers on both sides. And, for finding out the quartiles, compute the Medians of the 2 halves. This Median will divide the data into halves. Calculate Medians: Find out the Median of this data range.Organize this data: Order the data by sorting them in numerical order, in ascending or increasing order.Gather the data: Get the data for which you need to create plots.Now, coming to the creation of box and whisker plots, you will need to follow the points given below: All the box plots will definitely have whiskers.īox plots How to Make a Box and Whisker Plot? Some of the box and whisker plots make use of cross-hatch that is placed on the whiskers.Some of the box plots also make use of an additional character for representing mean of the sample data.The data which is not in between whiskers are to be plotted as outliers with dots, small circles or stars.Extreme values: The vertical lines (whiskers) show max and min values.Stock 4’s median is not centered, thus this data is skewed. Skewness: By looking at a box plot you can can tell if your data distribution is skewed if the line inside the box is not centered.Stock 1 typically has the least variation. Useful in visualizing most of the spread of variation.1 st Quartile and 3 rd Quartile: The lower end of the box is the 1st quartile and the upper end is the 3rd quartile.Median: The blue horizontal line indicates the median of the group.Middle values: The box indicates the range in which the middle 50% of all data lies.When the data is in metric scale level such as age, temperature etc.To read the median, interquartile range, and outliers in the data set.Box plots helps to display various parameters at a glance.To compare the process changes before and after the improvements.Box plots are to compare multiple data sets from independent sources that may have some relationship.It shows how the data scattered within those ranges will help for effective decision-making. It is also called a box-and-whisker plot or “five number summary.” In other words, quartiles, the median, and the highest and lowest values. Graphically it shows the variation between multiple variables and the variations within the ranges. Box plots are very effective and easy to read.
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