CMT218留学生讲解、Data Analysis辅导、辅导Python、讲解Python程序语言

日期：2020-03-22 07:46

Cardiff School of Computer Science and Informatics

Coursework Assessment Pro-forma

Module Code: CMT218

Module Title: Data Visualisation

Assessment Title: Data Analysis and Visualisation Creation

Assessment Number: 2

Date Set: 9th March 2020

Submission Date and Time: 4th May 2020 at 9:30am

Return Date: 3rd June 2020

This assignment is worth 70% of the total marks available for this module. If coursework is

submitted late (and where there are no extenuating circumstances):

1 If the assessment is submitted no later than 24 hours after the deadline,

the mark for the assessment will be capped at the minimum pass mark;

2 If the assessment is submitted more than 24 hours after the deadline, a

mark of 0 will be given for the assessment.

Your submission must include the official Coursework Submission Cover sheet, which can be

found here:

https://docs.cs.cf.ac.uk/downloads/coursework/Coversheet.pdf

Submission Instructions

The coursework submission should consist of two items: a coursework coversheet, and your

submission for the coursework in your chosen format, as explained in the next section

Description Type Name

Cover sheet Compulsory One PDF (.pdf) file [student number].pdf

Data Analysis

and

Visualisation

Compulsory One zip archive (.zip) containing all

code/outputs used to analyse and

visualise data

DAV_[student

number].zip

Process

Report and

Evaluation

Compulsory One PDF (.pdf) or Word file (.doc or

.docx)

PR_[student_number]

.pdf/.doc/.docx

Any deviation from the submission instructions above (including the number and types of

files submitted) will result a reduction in marks for that assessment or question part of 10%.

Staff reserve the right to invite students to a meeting to discuss coursework submissions

Assignment

You are asked to carry out an analysis of a dataset(s) and to present your findings in the

form of a report and visualisation(s), along with a record and evaluation of your analysis.

You should find one or more freely available dataset(s) on any topic, from a reliable source.

You may wish to choose something from data.gov.uk or ons.gov.uk for example.

You should then carry out an analysis of this data to determine what the data tells you

about its particular topic and should visualise this data in a way that allows a user to

understand the data and what the data shows. You can use any language or tool you like to

carry out both the analysis and the visualisation, but all code used must be submitted as

part of the coursework. For example, you may wish to extract, transform and analyse the

data using Python, and then create visualisations using d3.js.

You should create a short (2-4 page) report of your process that includes a description of

your analysis methods and the procedure used to create your visualisation. This record

should show the development of the resulting visualisation(s), including any prototype or

rejected visualisations/analyses. Most importantly, it should also include a reflective

evaluation of your finished analysis.

Important! It is expected that each student will choose a different dataset. Once you have

chosen your dataset(s) for analysis, you should complete the form at http://bit.ly/cmt218-

1920-cw2 with your selection to confirm it is a unique choice. Dataset allocation will be

done on a first-come, first-served basis, so do not delay, as another student may ‘claim’ the

dataset first! Data selection should be completed by 20th March at 5PM. Any data

redistribution as part of your submission must abide by the licence under which the data

was obtained.

Learning Outcomes Assessed

3. Examine and explore data to find the best way it can be visually represented

4. Access web APIs and data sources, retrieve and manipulate data

5. Create static, animated and interactive visualisations of data

6. Critically reflect upon and discuss the merits and shortcomings of their own visualisation

work

Criteria for assessment

Credit will be awarded against the following criteria.

Feedback and suggestion for future learning

Feedback on your coursework will address the above criteria. Individual feedback and marks

will be returned on 3rd June 2020 via email, with further cohort feedback given by video.

Feedback from this assignment will be useful your dissertation.

Questions

Questions about the assignment can be posted to the COMSC StackOverflow site:

https://stackoverflow.com/c/comsc using the tag cmt218-cw