Question

In: Accounting

A data audit is a critical activity that must be done at the beginning of any...

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.
Question Response
1
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9

Solutions

Expert Solution

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.


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