05976423_P4DS_UFCFVQ_Sep2022
Programming for Data Science - Assignment
Table of Contents
Summary
This repository contains files associated with the assessed coursework element for the student and module listed below.
Student
| Key | Value |
|---|---|
| Student | Petter Lövehagen |
| UWE email | petter2.lovehagen@live.uwe.ac.uk |
| Personal email | zoonalink@gmail.com |
| Student Number | 05976423 |
Curriculum
| Key | Value |
|---|---|
| Module Name | Programming for Data Science |
| Module Code | UFCFVQ-15-M |
| Module Leader | Dr David Wyatt |
| Module Tutor | Dr Mahmoud Elbattah |
| Programme | MSc Data Science (INB112) |
Submission Date: 19-Jan-2023 14:00
Repository Contents
root - submission files
- README.md - this file
- task1.csv - task 1 data
- task2a.csv - task 2a data
- task2b.csv - task 2b data
- UFCFVQ-15-M_Programming_Task_1.ipynb - task 1 jupyter notebook
- UFCFVQ-15-M_Programming_Task_2.ipynb - task 2 jupyter notebook
reflection_notes - working files not needed for submission or final report
- Task1_FR_reflections.md - reflections on Task 1
- Task2_reflect_notes.ipynb - reflections on Task 2
source_files - original files supplied for coursework
- task1.csv - original task 1 data
- task2a.csv - original task 2a data
- task2b.csv - original task 2b data
- Specification - original assignment specification
- Task_1_Template - original task 1 template
- Task_2_Template - original task 2 template
supplemental - supplemental jupyter notebooks
- Task2_supplemental - supplemental jupyter notebook for Task 2
Libraries
The following Python libraries are used in the coursework:
| Library | Version |
|---|---|
| pandas | 1.5.2 |
| numpy | 1.23.5 |
| matplotlib | 3.6.0 |
| seaborn | 0.12.1 |
| scipy | 1.9.3 |
| empiricaldist | 0.6.7 |
References used
Bonner, A. (2019). The Ultimate Beginner’s Guide to NumPy. Available from: https://towardsdatascience.com/the-ultimate-beginners-guide-to-numpy-f5a2f99aef54 [Accessed 15 November 2022].
Downey, Allen B. (2014). Think Stats – Exploratory Data Analysis in Python Version 2.2 Available from: https://greenteapress.com/wp/think-stats-2e/ [Accessed 12 December 2022].
Hunt, J. (2019). A Beginners Guide to Python 3 Programming. 1st ed. 2019. [Online]. Cham: Springer International Publishing. [Accessed October – December 2022]
Pandas Development Team (2022). Pandas documentation Available from: https://pandas.pydata.org/docs/index.html [Accessed 30 November 2022].
Smith, O. (2019). Jupyter Notebook Markdown Tutorial | DataCamp Available from: https://www.datacamp.com/tutorial/markdown-in-jupyter-notebook [Accessed 17 October 2022].
Sturtz, J. (2022). A Guide to the Newer Python String Format Techniques – Real Python Available from: https://realpython.com/python-formatted-output/ [Accessed 16 October 2022].
Willems, K. (2017). Python Seaborn Tutorial for Beginners Available from: https://www.datacamp.com/tutorial/seaborn-python-tutorial [Accessed 07 December 2022].
Wyatt, D. (2022). UFCFVQ-15-M Lecture Notes. Available from: https://my.uwe.ac.uk/ [Accessed October – December 2022].