/fviz

Facebook Data Visualizer - made with <3

Primary LanguagePythonMIT LicenseMIT

fviz

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Facebook Data Visualizer - made with <3

Released v1.0.0 on PyPI

vision

I was interested in understanding my facebook activity i.e.

  • How much time I'm spending on facebook
  • Which quarter of day I'm mostly active on facebook
  • Which are those profiles, I'm mostly interacting with
  • What's my facebook friending rate
  • How has my facebook browsing behaviour changed overtime etc.

Also I had a knack in checking how much data I'm giving to facebook. So, I thought of analysing exported facebook data and understanding what it is saying.

Later on I thought of making this tool a portable and easy installable one. So that anyone with some simple installation skills can use this tool and generate several plots, and understand their own facebook activity.

This tool does strictly run on user's machine. It doesn't talk to any remote machine, so you can use it safely by feeding it your exported facebook data.

installation

fviz can be installed using pip. Also make sure you've Python ( >=3.7 ).

$ python3 -m pip install fviz -U

Note: Add your default pip installation location to system PATH variable, so that you can invoke fviz from anywhere in system.

data

You can download your copy of facebook data as JSON, by following these instructions.

Note: fviz only supports JSON data format.

usage

sink is the directory where this .zip to be extracted. And plots is the directory where generated plots to be placed. You can set them as you will.

$ fviz facebook-userid.zip sink plots

features

All these plots to be generated when you invoke fviz with proper params.

This section will keep getting populated !!!