Email Meta Analysis

Ever wonder what was in your email?

I did, so I wrote some python scripts to analyze it!

You can check out the analysis of my own email on my website

Usage

• Must place python scripts in the same folder as mbox
• Rename .mbox as 'mail.mbox'
• Need folder wordFrequency (should be present)
• Add name or any other words to skip to stdWords.csv
• Run .py as desired
• Wait ~2 minutes per Gb
• Load .csv into excel or sheets

Required Tuning

• Everyone has different spam, either edit scripts or remove on .csv
• Edit stdWords.csv to skip words when analyzing frequency
• To make graphs I used Google Sheets, I removed common words
• I recommend adding companies to stdWords.csv, especially if you receive updates

Minor Disclaimer

I wrote this extremely rough collection of scripts which work well for me with minor editing.

I make no claims they will work for you, and if you make any upgrades please merge them in! :)