Stem And Leaf Plot In Data Distribution

Stem and leaf plot of data distribution is a factor of the data storage processing in the statistical field. The factor of the stem leaf plot would be done on the basis of the two digit data from a class of data. Here the left hand column is termed as the stem where the tens number of the digits would be putted and the right hand column contains the ones digits of the data and it is termed as the leaves. Thus the structure helps in proper distribution of data and the classification of data in a very short and appropriate way. The stem and leaf plot in data distribution is a crucial factor that helps in the storing of data and also places the class of data in a way that helps in the easy finding and interpretation of data in a effective way. Thus the clarity of the data distribution is the factor that helps in the identification and distribution as well. Hence, the implementation of this process in the data distribution would help in the clustering of the class of data in a way that clearly helps the data interpreter in proper way. The implementation of the process would also be helpful in the proper data segmentation and the process would be helpful in the distribution of data in a specific way. For example, if a data set is containing of 10 two digit numbers such as 13, 15, 17, 19, 27, 28, 35, 38, 47, 49 then the data distribution of this data set can be done with the help of stem and leaf plot would be as follows:

 This way 10 numbers containing total of 20 digits after placing in stem and leaf plot it consumes only 14 digits and the data distribution has been seen to be in a specified cluster of data. Hence, it can be stated that the data set can be distributed in very effective and simple way that helps the interpreter to find and identify the data in short time. The factor of the data can be segmented in several groups on the basis of those tens digits and the ones digits would be put into the segments made. The stem and leaf plot would also help in the process of the data distribution as the factor of the two digit number data set can be long and inhibits the factor of the proper data interpretation. However, this data distribution process has limitations as it can only be used in the sector of the computer data coding. As the computer only have the knowledge about the single digit codes and the process of this data set helps in breaking down the data of two digits in single digits. Hence, the process of the stem and leaf data distribution process it only helps in the proper data interpretation of the computer interface. Otherwise the data segmentation process helps in the closing the gaps of the data and the proper division of the numbers and it will be helpful for the computer software not for the manual dataset segmentation. Hence, the factor of the data distribution can be done with the stem and leaf plot by utilizing the process of the classification of the data by dividing them into tens digit class and ones digit factor in those classes. So it can be stated that the process is effective in minimizing the data distribution in a concealed state.