Classify and Analyze Data
Name: Rodney Wheeler
Institution: Rasmussen College
Date: 11/21/15
The sorting and filtering the data has made it easier to analyze and interpret. The final representation of the data is shown on a bar chart that compares the sales volume for December and November. This chart has made it easier to identify the outliers in the sales data collected. From the graph grown, Justine is the most visible outlier. The sales volume associated with this entry shows a deep contrast and larger difference between the sales values for December and November.
It had the highest November value of $ 87, 382.00 which is the maximum for the data of that month. It gives the maximum value for the set of data collected for the December sales. The same entry has one of the lowest sales values for December. It had $ 1000.00 which is the second lowest in the December sales. Heston is the other outlier in the data collection.
The November sales for this individual were $ 0.00 dollars while the December sales were $ 7,000. The difference in the two values can be seen in the graphical representation of the data. It exhibits a large discrepancy.
Nayen and Frank also show the same trend. Their values are distinctively different in the data chart drawn. They have very small values for November while showing relatively larger values in the month of December. The differences in the values for these two months are a clear indication of the noncompliance that these variables are showing and which can be used to describe the data.
The analysis of the data collected for these two months can be used to make the necessary decisions. However, some of the values are not distinct and thus makes the analysis and interpretation difficult.
Twinage12
rwheeler_classify_and_analyze_data_112115.docx
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