iPhone/iMessage users can interactively visualize their texting history, using pandas, d3.js and crossfilter.js.
You must have a mac with either iMessage or itunes backups of your iphone.
git clone [email protected]:sshleifer/charactr.git
cd charactr
export PYTHONPATH=PYTHONPATH:"."
python app/run.py
- If that failed, try
pip install -r requirements.txt
The data are read from ~/Library/Messages/chat.db
(and some other paths) by the read_db()
function in chat_to_csv.py
Cleaned data are written to imsg_stats/csv/
Then some javascript runs that looks for the cleaned data and makes some pretty visualizations
Help and feature requests welcome and sorely needed!
- Download charactr [Here] (http://pjdewire.github.io/charactr_site/).
- Right click and open on the charactr application.
- This should open
localhost:8000
in your browser, with the scatterplot showing. If you have a previous version or another application running on port 8000, you will need to kill the other application and refresh. - Once you see the scatterplot, read the instructions.
- Follow links to charts 2 and 3.
- When you are bored, force quit charactr.
If something breaks, take a screenshot of your Mac and/or browser console, and post it as an issue or email to sshleifer at gmail dot com.
python scripts/save_data.py
- data will be written to
imsg_stats/msg.csv
- we dont have a server. No data leaves your local machine!
- Delete unused code
- Support Group Chats
- More Plots, tables
- NLP, word clouds