Project报告代写 PSBC Project 3

PSBC Project 3

Project报告代写 In this project, the total sales figures of three common products ( Bread, Salad and Lettuce) from a supermarket are analysed.

In this project, the total sales figures of three common products ( Bread, Salad and Lettuce) from a supermarket are analysed. The data are stored in a comma-separated values (CSV) file, salesfig.csv. The first few lines look like the following ¹:

The columns of the data file are Date (from 2015-1-1 to 2017-12-31), Highest Daily Temperature, Lowest Daily Temperature, and the sales number for the three products (the actual units do not matter in this project).

Question 1. As shown in Figure 1, the sales data of bread exhibit a periodic linear trend during the first few weeks of Year 2015, despite some random fluctuations ². By assuming that the data is a linear function inside each period (thus characterised by the slope and the average), we want to work out the slope for each product. Furthermore, the slope for each product is assumed to be the same for all periods, while the averages could change from one period to another.  Project报告代写

Because of the random fluctuations and zero sales data due to closure of the supermarket ³, not all data have to be used to estimate the slope. In general, 85% of the data should be enough (the percentage could be changed, depending on your argument), and the resulting slope for each product will not change significantly once the obvious outliers (i.e zero sales figures) are eliminated. The problems and the solutions for the resulting slopes could formulated in many different ways, for instance least square fitting, regression, etc. Do keep your exposition simple (to be understood by anyone who have finished first year probability and statistics).

Question 2. It is believed that correlations exist between the temperature and the sales number of certain products (calculated using the built-in command corrcoef). Information like this is critical to supply chain management, as potential variations could be predicted in

¹If this file is opened in a professional software like Microsoft Excel instead of a text editor, the format of some entries may be slightly different

²Other two products or the same product during other time periods show similar periodic linear trends. Project报告代写

³Zero sales data could appear in certain days in March/April and the end of December for each year

3. Pay attention to the data types (certain operations are allowed on the right types of data), and the distinction between curly brackets {} and parenthesis ().
4. Tryto plot the data to get insights, and to understand basic features like the number of days inside a period, and those days with zero sales  But do not generate too many (and repeated) meaningless figures in your report. Try to support your approach and argument based on the data, instead of looking for the ”correct” answer.

Generic information (the same in all project description): Project报告代写

1. Keep your page length not exceeding eight A4 pages, and no need for a title page or abstractfor a relative short report like  This is a soft page limit just to encourage you to write concisely, and you will not get any penalty if the report is well written.
2. Listthe complete code of the whole function at the end of each question, or in an  Make your source code more readable, by keeping the indentation and stylistic features, and can be copied from your submitted. It is better to omit the line numbers, in case a block of code has to be copied. Your result should be reproduced from the code attached.
3. Havea look at the generic rubric about how your report will be marked against, and also the intended learning outcomes about what you are expected to achieve in the end.
4. Avoid copying (too many) sentences directly from the project description, and try to restate the problem with your own words or examples if possible. Project报告代写

5. Youmay use your report in the future as evidences of written work, so take it  I am glad to write a reference (there were about three or four students asked letters from me each year), but good reports from yourself will make my job much easier.

6. Yourtarget audience is a fellow student on your course: explain the questions so that the report can be understood without this project description and your approach can be implemented in another computer language like  The report should indicate to the reader how well you understand the problem and the approach you take. Your goal will be to communicate your solutions to another person rather than to show you’ve completed the assignment.
7. Balance the explanation of the approach and the comments in the code.Avoid under- commenting and over-commenting.
8. Aimfor precision and clarity of writing. Project报告代写
9. Sincethere is no final exam, you are advised to spend at least 15 hours on each project, with additional self-study if you are less experience with computer programming. Re- member for a 10 credit module like this one, you are expect to spend 100 = 10  10 hours in total (including lectures, labs, self-study and coursework).
10. Allreports are marked anonymously, and there is no need to put any personal information on the report.
11. Thesubmission for each project will be open two weeks before the  Only your last submission will be marked, and anything submitted after the deadline will be treated late and any penalty will be applied by the Teaching and Learning Office in June according to the Undergraduate Student Handbook.

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