CIS7031 - Programming for Data Analysis Semester 2 Cardiff School of Technologies
This assessment is designed to demonstrate a student’s completion of the following Learning Outcomes:
The Cardiff Met EDGE supports students in graduating with the knowledge, skills, and attributes that allow them to contribute positively and effectively to the communities in which they live and work.
This module assessment provides opportunities for students to demonstrate development of the following EDGE Competencies:
ETHICAL |
Students will be required to consider Ethical implication of their analysis and follow the necessary ethical approval processes while addressing problems associated with the assessment. |
DIGITAL |
Students will be required to demonstrate digital skills in the collation of data and analysis for their project. |
GLOBAL |
Students will demonstrate an awareness of the global context and apply this to their assessment |
ENTREPRENEURIAL |
Students will also demonstrate their developed entrepreneurial through working under their own initiative, formulating and presenting recommendations in order to solve an authentic and complex problem associated with the module. |
This assignment will use employment data of Wales from the StatsWales data source. This dataset provides workplace employment estimates, or estimates of total jobs, for Wales and its NUTS2 areas, along with comparable UK data disaggregated by industry section.
For this assignment students will undertake a data analysis and machine learning approach to reveal the workplace employment landscape of Wales.
The final dataframe should look like following
Need to use Jupyter Notebook
Industry |
2018 |
2017 |
2016 |
2015 |
2014 |
2013 |
2012 |
2011 |
2010 |
2009 |
Agriculture |
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Production |
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Construction |
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Retail |
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ICT |
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Finance |
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Real_Estate |
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Professional_Service |
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Public_Adminstration |
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Other_Service |
For each question provide graph/chart along with your own interpretation (~ 50 words)
Create a dynamic scatter/bubble plot showing the change of workforce number over the period using Plotly express.
Provide a brief discussion (~ 300 words) on employment landscape of Wales based on the employment data analysis results.
1.1 Data preparation |
05 |
1.2 Data preparation |
05 |
1.3 Data preparation |
05 |
2.1 Data analysis |
05 |
2.2 Data analysis |
05 |
2.3 Data analysis |
05 |
3 Visual analysis |
20 |
4.1 Correlation |
10 |
4.1 Correlation |
10 |
5.1 Clustering |
10 |
5.2 Clustering |
10 |
6 Discussion |
10 |
Feedback for the assessment will be provided electronically via Moodle, and will normally be available 4 working weeks after initial submission. The feedback return date will be confirmed on Moodle.
Feedback will be provided in the form of a rubric and supported with comments on your strengths and the areas which you improve.
All marks are preliminary and are subject to quality assurance processes and confirmation at the Examination Board.
Further information on the Academic and Feedback Policy in available in the Academic Handbook (Vol 1, Section 4.0)
70 – 100% (1st) |
Addressed all sections and provided correct answers with elegant presentation of results. Applied correct data analysis approaches and provided excellent interpretation on each section. |
60-69% (2:1) |
Addressed all sections and provided correct answers with good presentation of results. Applied mostly correct data analysis approaches and provided very good interpretation on each section. |
50-59% (2:2) |
Addressed most of the sections and provided mostly correct answers with average presentation of results. Applied some correct data analysis approaches and provided an average interpretation on each section. |
40-49% (3rd) |
Addressed few sections with few correct answers with/out any presentation of results. Applied mostly incorrect data analysis approaches and provided poor interpretation on each section. |
35-39% (Narrow Fail) |
Addressed few sections and provided mostly incorrect answer with poor presentation of results. Applied incorrect data analysis approaches and provided poor interpretation. |
<35% (Fail) |
Very poor report missing one or more required parts. |
Additional Information
The Harvard (or author-date) format should be used for all references (including images).
Further information on Referencing can be found at Cardiff Met’s Academic Skills website.
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