amandhesi / intro-ds

A quick intro to using Jupyter for data analysis

Intro to Data Analysis with Jupyter

---

First, clone this repository locally. We will be running Jupyter locally and using it to work on the notebook in this repository.

Setup

We need to make sure you have Python installed, and then we need to install Jupyter. I recommend doing this inside a virtual environment to make your life simpler.

• Download and install Python 3 here: https://www.python.org/downloads/
• Open up a Terminal window and run python3 -m pip install --user virtualenv to install virtualenv
• Run python3 -m virtualenv venv inside the root folder of the repository to create a virtualenv
• Run source venv/bin/activate in the root folder of the repository to activate the virtualenv
• Run python3 -m pip install jupyter pandas matplotlib to install Jupyter and pandas

Congratulations, you now have Jupyter set up and can run the intro.ipynb notebook.

Run jupyter notebook in a terminal window. Once the browser window opens with the Jupyter UI, navigate to the repository folder and click on intro.ipynb

Download Data

Download this folder into the repository root folder: https://drive.google.com/drive/folders/172gJUolkx-lHSNXyDNZlqZYD3MDOgU2j?usp=sharing

For an explanation of the fields in this dataset see here: https://docs.safegraph.com/docs/open-census-data#section-safegraph-neighborhood-patterns-data-cbg_patterns-csv-