Descriptive statistics were utilized to summarize and describe the key characteristics of the data. These characteristics include distribution, variability, and measurements of central tendency. The mean represents the average value of the distribution of values. The average of the products ordered over the indicated time period was 2.29. The average sales amount was 321.67, while the sales tax was 14.57. The average total fee was 314.92. The lowest and maximum values represent the dataset's smallest and greatest values. The minimum and greatest number of things ordered during the specified period were 1 and 6, respectively. The smallest sales amount was $5.99, while the maximum was $2189.70. The minimum and maximum sales taxes were 0.30 and 62.90 dollars, respectively. The total fee ranged from $6.29 to 1354.19 dollars. The standard deviation reflects data dispersion in proportion to the mean. The standard deviations for the products ordered, sales made, sales tax, and total charge were all minor. This indicates that the values in the datasets are near to the corresponding means. I utilized conditional formatting to easily identify certain cells at a glance. Conditional formatting was used in the items column to make the top 10 values easier to recognize. In the