https://github.com/nolanbconaway/friends-omg

People say "oh my god" a lot in the show "Friends".
https://github.com/nolanbconaway/friends-omg

heroku python television

Last synced: about 1 month ago
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People say "oh my god" a lot in the show "Friends".

• Host: GitHub
• URL: https://github.com/nolanbconaway/friends-omg
• Owner: nolanbconaway
• Created: 2020-08-31T00:14:17.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-03-23T16:05:51.000Z (10 months ago)
• Last Synced: 2024-03-23T17:22:36.751Z (10 months ago)
• Topics: heroku, python, television
• Language: Python
• Homepage: https://friends-omg.herokuapp.com/
• Size: 24.4 KB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

        
# Friends OMG

We were rewatching some old Friends episodes at home when I took notice that the phrase _"oh my god"_

comes up a lot in that show. As any reasonable person would, I compiled script data and built a website to

prove my point.

This webapp lets you check how often phrases like "oh my god" are said in Friends, Seinfeld, 

and Sex and the City.

## Building the Dataset

I tried to make the data build as self-contained as possible. To that end I have hosted some source files on my personal heliohosting server. There are two unrecoverable aspects to the data:

1. The source seinfeld data is no longer available online. [Colin](https://github.com/colinpollock) sent a copy to me, and thats how i have it.

2. The Sex and the City data were messy in their public form (via Kaggle). I cleaned those data up a fair amount and saved the file.

The [download-all](bin/download-all) script contains relevant URLs to download the source data used tobuild the final dataset. After downloading those raw files, the [build](build/) module contains code to process the files in their raw form in order to prodice a final dataset.

You can download a copy of it [here](http://nolanc.heliohost.org/omg-data/data.db.gz)!

### Data Credits

I did basically zero work obtaining the source data. Below are shout-outs to those who did that hard work:

1. [Colin Pollock](https://github.com/colinpollock/seinfeld-scripts) for the _excellent_ Seinfeld dataset.

2. [Yusuf Sohoye](https://quotennial.github.io/Friends-engineering) for the regex to parse through Friends script files. 

3. I stole the Sex and the City data from [Kaggle](https://www.kaggle.com/snapcrack/every-sex-and-the-city-script).

You can download my the full (gzipped) SQLite3 database [here](http://nolanc.heliohost.org/omg-data/data.db.gz)!