Topic introduction to discrete mathematics in IT

https://class.aiuniv.edu/LCMSFileShareCommon/3d7/078/1bd/b9b/485/a91/8b4/b2e/df6/06f/3d/143218_a.pdf is a sample of Web server statistics for a computer science department. Write an essay of 2 pages that contains the following: A complete overview of the data, identifying anomalies in different weeks, and the weeks that the data are not regular. Choose 5 different sections of data, examine these sections, and provide the specific selection process and criteria you used to select this data set. Provide the measures of tendency and dispersion for each of the 5 different sections of data you selected. Provide 1 chart or graph for each of the 5 processed sections. This may be a pie or bar chart or a histogram. Label the chart or graph clearly. Explain why the graph you provided gave a good visual representation of the data. Based on your explanation above, identify some specific advantages why, in general, Write an essay of 2 pages that contains the following: A complete overview of the data, identifying anomalies in different weeks, and the weeks that the data are not regular. Choose 5 different sections of data, examine these sections, and provide the specific selection process and criteria you used to select this data set. Provide the measures of tendency and dispersion for each of the 5 different sections of data you selected. Provide 1 chart or graph for each of the 5 processed sections. This may be a pie or bar chart or a histogram. Label the chart or graph clearly. Explain why the graph you provided gave a good visual representation of the data. Based on your explanation above, identify some specific advantages why, in general,introduction to discrete mathematics in IT

Introduction to discrete mathematics in IT

Overview

The overview of the data set showed that different weeks registered varying total successful request. Also, some of these requests were not successful and some received total failure and some were redirected. These variations lead to difference in total data transferred in megabytes. Some of the issues that were noticeable in the data set was that the number of corrupt files were significantly low(Kenneth, 2012). In addition, the data set contain a column of total data transferred in megabyte and average data transferred per day in kibibytes, which I considered the units should have been the same. Another anomaly is that week threeregistered lowest numbers in six columns, which was much lower than the means. Similarly, week five registered the highest numbers in most of the column, which was higher than the mean. The anomalies were identified through the use of Box and Whiskers plot of the entire data set as shown below.

The five sections of the data selected for further analysis were total successful request, total failed requests, number of distinct files requested, corrupt logfile lines and total data transferred in megabytes. The process of selection was to remove columns that were related. For example, the first three column: total successful request, average successful request per day, total successful requests for pages, and average successful requests for pages per day were related and one column needed to be further analyzed and make inference relating to successful requests. The second process was to remove the column remove the column of total redirected request since most web server will redirect when wrong request is made. Also, the column on number of distinctions were related and one was enough to carry out further analysis. Finally, the last two columns on total data transferred in megabytes and average data transferred per day kibibytes needed one column to make inference about the amount of data transferred.

week	Total successful requests:	Total failed requests:	Number of distinct files requested:	Corrupt logfile lines:	Total data transferred:(in Mbytes)
1	220506	13400	14299	42	1456
2	230004	12400	15003	39	1501
3	198080	12334	11480	32	1580
4	243058	15890	17490	80	1805
5	332800	21890	21789	45	2150
6	231890	13450	13899	29	1489
7	235450	13789	15890	30	1490
8	245455	18332	12334	41	1491
9	228944	13450	14300	41	1600
Mean	240687.4	14992.78	15164.89	42.11111	1618
Standard Deviation	37236.79	3202.831	3052.245	15.31702	226.0664
Median	231890	13450	14300	41	1501