In: Accounting
A data audit is a critical activity that must be done at the beginning of any analytics project when you are working with an existing workbook or are given a dataset from another person. The purpose of this exercise is to conduct a data audit on a worksheet that contains sales data for a hypothetical apparel retailer.
The data shown in the file named Chapter 1 DA Exercise 2 contains data that was provided to you by a coworker. The Excel file should contain sales data for two years by month. You intend to use this data to evaluate the company’s sales trend by season. In addition, you will need to analyze the average price per month to determine if there are months where customers are spending more money for each item purchased. The data should contain sales in units and dollars. For any given month, the sales in units multiplied by the average price should equal the sales in dollars. Open the file named Chapter 1 DA Exercise 2. Audit the data in the Sheet1 worksheet. Record any problems you find in the dataset in the AnswerSheet worksheet. Note that there are more rows to document problems in the dataset than are needed.
Company Sales Data | ||||
Year | Month | Unit Sales | Average Price | Sales Dollars |
2017 | January | 6,000 | 9.99 | $ 59,940 |
2017 | February | 4,500 | 12.49 | $ 56,205 |
2017 | March | 4,500 | 14.99 | $ 67,455 |
2017 | April | 3,000 | 16.99 | $ 50,970 |
2017 | May | 3,000 | 17.99 | $ 53,970 |
2017 | June | 1,500 | 14.99 | $ 22,485 |
2017 | June | 1,500 | 14.99 | $ 22,485 |
2017 | August | 3,000 | 17.49 | $ 52,470 |
2017 | September | 4,000 | 19.99 | $ 79,960 |
2017 | October | 5,000 | 19.99 | $ 99,950 |
2017 | November | 6,000 | 17.49 | $ 104,940 |
2017 | December | 7,500 | 14.99 | $ 112,425 |
2018 | January | 6,250 | 8.49 | $ 53,063 |
2018 | February | 5,000 | 12.99 | $ 64,950 |
2018 | March | 6,000 | 12.99 | $ 950 |
2018 | April | 3,500 | 17.49 | $ 61,215 |
2018 | May | 2,500 | 16.49 | $ 41,225 |
2018 | June | 2,000 | 14.99 | $ 29,980 |
2018 | July | 3,000 | 10.99 | $ 32,970 |
2018 | August | 3,000 | 10.99 | $ 32,970 |
2018 | September | 4,500 | 19.49 | $ 87,705 |
2018 | October | 5,200 | 21.49 | $ 111,748 |
2018 | December | 8,000 | 13.99 | $ 111,920 |
Use this worksheet to answer any written questions for this exercise. | ||||||||
Write your answer in the merged open cell next to each Question number. | ||||||||
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to evalute the sales by season wise | |||||||
2017 | |||||||
Pre Winter ( Nov to Dec) | Winter (Jna to Feb) | Spring ( Mar to April ) | Summer (May to June ) | Monsoon (July to Aug) | Autumn (Sep to Oct) | Totoal | |
Jna | 59,940 | 59,940 | |||||
Feb | 56,205 | 56,205 | |||||
Mar | 67,455 | 67,455 | |||||
April | 50,970 | 50,970 | |||||
May | 53,970 | 53,970 | |||||
June | 22,485 | 22,485 | |||||
July | 22,485 | 22,485 | |||||
Aug | 52,470 | 52,470 | |||||
Sep | 79,960 | 79,960 | |||||
Oct | 99,950 | 99,950 | |||||
Nov | 104,940 | 104,940 | |||||
Dec | 112,425 | 112,425 | |||||
217,365 | 116,145 | 118,425 | 76,455 | 74,955 | 179,910 | 783,255 | |
% of sales each season wise | 28 | 15 | 15 | 10 | 10 | 23 |
based on above analysis in 2017 two season Autumn and pre vinter are more sales compare to other seasons.
2018 | |||||||
Pre Winter ( Nov to Dec) | Winter (Jna to Feb) | Spring ( Mar to April ) | Summer (May to June ) | Monsoon (July to Aug) | Autumn (Sep to Oct) | ||
Jna | 53,605 | 53,605 | |||||
Feb | 64,950 | 64,950 | |||||
Mar | 950 | 950 | |||||
April | 61,215 | 61,215 | |||||
May | 41,225 | 41,225 | |||||
June | 29,980 | 29,980 | |||||
July | 32,970 | 32,970 | |||||
Aug | 32,970 | 32,970 | |||||
Sep | 87,705 | 87,705 | |||||
Oct | 111,748 | 111,748 | |||||
Nov | - | - | |||||
Dec | 111,920 | 111,920 | |||||
111,920 | 118,555 | 62,165 | 71,205 | 65,940 | 199,453 | 629,238 | |
% of sales each season wise | 18 | 19 | 10 | 11 | 10 | 32 |
based on above analysis in 2018 there is no sales given in Nov but still two season Autumn and pre vinter are more sales compare to other seasons.
To determine the average price per month for more sepending customers.
In basic mathematics, an average price is a representative measure of a range of prices that is calculated by taking the sum of the values and dividing it by the number of prices being examined. The average price reduces the range into a single value, which can then be compared to any point to determine if the value is higher or lower than what would be expected.
2017 | 2018 | |
Sep | 19.99 | 19.49 |
Oct | 19.99 | 21.49 |
Nov | 17.49 | |
Dec | 14.99 | 13.99 |
72.46 | 54.97 | |
Average price per month | 18.12 | 18.32 |
in 2018 theree month only taken.