Task Assessment Fundamentals of Data Analysis Module GMIT 2020

The repository consists of four tasks covering various topics on Fundamentals of Data Analysis:

• Outputting a dictionary of unique items with the number of appearances from a list without using Python libraries
• Dice roll simulation
• Flip a coin simulation
• Simpson’s paradox.

Submitted by: Olga Rozhdestvina (Student No: G00387844)

Lecturer: Ian McLoughlin

Programming Language used: Python

Set up

Applications used for completion of the tasks are The Jupyter Notebook and cmder

Distribution of Python used is Anaconda Python distribution.

Libraries used to complete the tasks: random, numpy, matplotlib, seaborn, pandas. All of these are installed with the Anaconda Python distribution.

How to run the code

1. Make sure that you have Python installed
2. Download or clone current repository “Fundamentals-of-Data-Analysis-Tasks”
3. Open Command Interpreter and get into correct directory
4. Install packages by running pip install -r requirements.txt (recommended through virtual environment to avoid possible break of system tools or other projects)
5. Run Jupyter notebook
6. On the home page of opened Jupyter server select Tasks.ipynb

License

This project is licensed under the MIT License - see the LICENSE.md file for details