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! :)