Facebook Messenger Statistics
Have you downloaded your Facebook data? Are you curious/concerned about your Messenger usage? Discover fun stats about your Facebook Messenger usage such as: most used words, most active year, most active hours, etc.
Plots can be created using a Jupyter Notebook for exploratory analysis or a basic HTML report can be generated using the generate_report.py script.
For instructions scroll down
Example Report
An interactive sample report can be found on my website
How to use
Download your Messenger data from Facebook
Download your Facebook Messenger data in your settings page
Make sure to download in JSON format. Media quality can be set to low for a faster download
Clone this repository
Clone this repo using:
git clone [email protected]:simonwongwong/Facebook-Messenger-Statistics.git
And open the folder/navigate to the directory
Install Python and Python libraries
- If you don't have Python, install Python 3.7+
- Open a console on the project directory (or create your own custom environment) and run:
pip install -r "requirements.txt"
Generate an HTML report
Run the generate_report.py script either using your terminal or double-click the file on Windows
Locate your inbox folder from your extracted Facebook data using the file dialog. This folder should contain more folders for each chat and each of those folders should contain a message_1.json file.
If it runs successfully, you should receive a message similar to:
Parsing data from C:/Users/Simon/Desktop/messages/inbox
Report generated successfully!
And an HTML report should be at your current working directory.
Exploratory analysis on Jupyter
Open a console in the folder and start Jupyter Notebook using jupyter notebook command.
From the Notebook file tree, open the Statistics notebook Statistics.ipynb
Make sure the correct directory is passed into loader.parse_from_json() and then have fun!
See chatstat.py or docstrings for parameters you can play with in the plot generators.