README.md

Moving Averages Coding Challenge

This was a very enjoyable take-home challenge for an internship application.

The challenge details can be found in challenge.md.

Thank you for a great challenge DA (you know who you are!)

Design decisions

I opted to use pandas for the data processing. Pandas provides a convenient function rolling() to create moving averages.

When processing the data I assumed (as advised) that the data should follow a step-function, where missing values are populated with the previous valid values. Once again pandas provides a convenient function for this, fillna(), which fills missing values.

Output

Run

1. Create and activate virtualenv environment
2. Install from the requirements.txt
3. Run rolling_averages.py

python -m venv venv
.\venv\Scripts\activate
pip install --upgrade pip
pip install -r requirements.txt
python rolling_averages.py

A time stamped image (showing the rolling average, overlaying the original data) will be saved in the working directory. Eg .\rolling_average_15_23_14.png