squirrel

An basic repository with an environment and .gitignore

Central Park Squirrel Census

https://www.thesquirrelcensus.com

Explore the data

The survey data was originally collected and stored in to files available at this link:

https://www.thesquirrelcensus.com/data

For this exercise, we will use an integrated .csv file that combines data and is a little more structured than the raw .csv. This file was downloaded from kaggle.com at this link:

2018 survey data on Kaggle

The downloaded file is already added to the class repository in the data/ folder as as 2018_Central_Park_Squirrel_Census_-_Squirrel_Data.csv. You can copy this folder to your new repository on your local machine

Setting up for some squirrely analyses:

1. Create a short name for your group and a new repository for this exercise. Clone the repo to your local machines.

2. Load the combined datafile (either using the url or from your repository's ../data directory) using pd.read_csv().

3. Use standard df.info(), df.head(), df.describe() to explore the data.

4. Read over the user guide here to understand what the various columns contain.

Survey Data User Guide

Additional information on the survey and stories are available here:

https://www.thesquirrelcensus.com/data

1. Work together to make a new .ipynb in your repo that contains an analysis and simple visualization of the data!