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

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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.

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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

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License

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