cs467-email-viz

Project for CS 467: Social Visualization, Spring 2024.

Design Project 1: Visualizing email reply times

Python requirements

pip install -r requirements.txt

Downloading the dataset:

Run in this folder:

wget https://www.cs.cmu.edu/~enron/enron_mail_20150507.tar.gz -P data/
tar -xf data/enron_mail_20150507.tar.gz -C data/

Now the data is in the data/ folder!

** The data/ folder is not to be committed to github! **

Filesystem setup

Make a folder for the processed data

mkdir -p processed_data

Create csvs of users.

Convert the .ipynb to a friendly, executable python file:

jupyter nbconvert --to python clean_data.ipynb 

Feel free to use any users, but we have chosen a few as well. Run all (or any subset) of the following lines:

python3 clean_data.py allen-p
python3 clean_data.py arnold-j
python3 clean_data.py bass-e
python3 clean_data.py weldon-v
python3 clean_data.py weldon-c
python3 clean_data.py geaccone-t
python3 clean_data.py sturm-j
python3 clean_data.py scott-s
python3 clean_data.py mckay-b

Create full data csv

jupyter nbconvert --to python analysis.ipynb
python3 analysis.py

Open the visualization

Open index.html in the visualization/ folder.