Programming for Data Analysis - Assignment

Assignment for the GMIT HDip in Data Analysis Course

Brief introduction

This repository is concerned with the use of Python numpy.random package. It contains the following files:

1. README.md (this file)
2. ProgrammingforDA-Assignment.ipynb - a Jupyter Notebook written in Python
3. ProgrammingforDA-Assignment.pdf - PDF version of the Notebook. Note this is for reference only as the notebook is not accurately reproducible through conversion to PDF.
4. ProgrammingforDA-Assignment.html - HTML version of the Notebook. Note this is for reference only as the notebook is not accurately reproducible through conversion to HTML, although some interactivity is still retained as Plotly uses JavaScript natively.
5. Programmingfor-DA-assignment-instructions.pdf - instructions for the assignment, for future reference only

Pre-requisites for running the notebook

This notebook relies on the following libraries, so please ensure you have these installed on your machine before running.

1. numpy
2. plotly
3. scipy
4. sympy
5. ipywidgets

Troubleshooting / known issues

Plotly seems not capable of handling multiple large plots within a single notebook, as each plot actually contains the data points within itself, rather than referencing variables. Due to this, interactivity in plots might not work until the particular cell is run manually, especially for those with ipywidget sliders.