Intro To Pandas by analyzing shots in hockey.

Installation and Running the Project

1. You'll need either pipenv or pip to install these packages.

   • Go to the project folder
   • pip (with virtualenv)
     • Activate a virtual env
     • pip in a terminal you'll need to install the requirements with the following command

     pip install -r requirements.txt
     

   • pipenv
     • run pipenv install.

2. Running your notebook environment.

   • in your command line you should run (leave it running.) jupyter notebook

   • should look like below.

3. You'll need the data.

   • Sign up/Sign in to Kaggle.com
   • Go to this link: https://www.kaggle.com/martinellis/nhl-game-data
   • Put this data into a folder called "data/" in the project.

What is Pandas and Jupyter?

- Jupyter
    this allows us to execute python from the browser to get instant feedback.

- Pandas
    - It's a library for data manipulation and analysis written in python.
        - It's used quite a bit for data analysis and data science.

- Matplotlib
    - This is just a library that's going to allow us to actually visualize the data in a graph form.

Useful Notes

• Keyboard shortcuts to jupyter notbooks https://towardsdatascience.com/jypyter-notebook-shortcuts-bf0101a98330