Note: Please understand the tutorial of quartile before moving to this topic.
What is box plot and how to draw the box plot forĀ even and odd length data set?
 Box plot is a plotting of data in such a way thatĀ it is like a box shape and it represents the five number summary. Five summary is a minimum value, Quartile 1, Median, Quartile 3 and maximum value.
 End of the box is represented by interquartile range (IQR).
 IQR = Q3 ā Q1
 The median is marked by a line within the box
 AĀ rectangle is drawn to represent the second and third quartiles, usually with a vertical line inside to indicate the median value. The lower and upper quartiles are shown as horizontal lines either side of the rectangle. Maximum and minimum values are on the whiskers. Whiskers are the lines drawn on maximum and minimum value.
[quads id=2]
Draw the box plot for the oddĀ length data set?
Data = 2, 4, 5, 5, 8, 8, 9
First of all, find the quartiles. Q1: 4 – Lower quartile Q2: 5 – Middle quartile Q3: 8 – Upper quartile Inter Quartile Range= Q3 – Q1 Ā Ā = 8 – 4 = 4Ā Population size: Population size is the total number of values in data. 
Box Plot:
Draw the box plot for theĀ evenĀ length data set?
Data = 8, 5, 2, 4, 8, 9, 5,7 
First of all arrange the values in sequence.
2, 4, Ā ā¦ Ā Ā 5, 5, Ā Ā ā¦ Ā Ā 7,Ā 8 Ā Ā ā¦ Ā Ā 8, 9
Minimum: 2 Q1: Ā 4Ā + 5 / 2 = 4.5Ā – Lower quartile Q2: Ā 5+ 7 / 2 = 6 Ā – Middle quartile Q3: Ā 8 +Ā 8 / 2 = 8 – Upper quartile Maximum: 9 
Box Plot:
Next Tutorials with Similar Topics
 Type of Data that can be mined – Click Here
 Attributes Types – Click Here
 Mean, Median, Mode – Click Here
 Estimated Mean, Median, Mode – Click Here
 Data Quartiles – Click Here
 Box Plot for Data – Click Here

Variance and standard deviation of data in data mining – Click HereĀ Ā Calculator –Ā Click Here
 Data skewness – Click Here
 Correlation analysis of numerical data in Data Mining – Click Here
 Correlation analysis of Nominal data with ChiSquare Test in Data Mining – Click Here
 Data discretization and its techniques in data mining – Click Here