<commit_before>
# youtube-experiment
This is a simple experiment that compares the average views a youtuber has and compares that 
to the amount of subscribers they have. In an ideal world, the average view count should be 
close to the subscriber count because subscribers are "guaranteed" views.

Now, I'm no math major and I don't really know what this data really means and if I can even 
call it accurate, but it sure is interesting.

## The Results

I ran this simple program against 7 of the top youtubers and 7 youtubers from my own 
subscription I often watch. I set the video_fetch_limit to 20, so it only averaged the 
view count of 20 videos for each youtuber. The results were quite interesting

```
Youtuber: hotdiggedydemon       Ratio: 363.34%
Youtuber: JonTronShow           Ratio: 123.08%
Youtuber: HolaSoyGerman         Ratio: 71.46%
Youtuber: SecretAgentBob        Ratio: 43.36%
Youtuber: VanossGaming          Ratio: 42.6%
Youtuber: ashens                Ratio: 31.61%
Youtuber: jacksfilms            Ratio: 30.24%
Youtuber: nigahiga              Ratio: 28.77%
Youtuber: ExtraCreditz          Ratio: 21.48%
Youtuber: Smosh                 Ratio: 11.13%
Youtuber: GameGrumps            Ratio: 9.25%
Youtuber: PewDiePie             Ratio: 5.5%
Youtuber: RayWilliamJohnson     Ratio: 5.11%
Youtuber: Machinima             Ratio: 0.95%
```

The "Ratio" is the `averageViewCount / subscriberCount` shown as a percent.

##What does this mean?

I don't know! :D

An educated guess I have is, a higher Ratio means higher quality of the conent. 

I base this off the first 2 youtubers from the sample output. The average view count is 
surpasing their subscriber count, meaning it's getting shared and viewed beyond their 
subscribers.<commit_msg>Fixed some typos in the README<commit_after>
# youtube-experiment
This is a simple experiment that compares the average views a youtuber has and compares that 
to the amount of subscribers they have. In an ideal world, the average view count should be 
close to the subscriber count because subscribers are "guaranteed" views.

Now, I'm no math major and I don't really know what this data really means and if I can even 
call it accurate, but it sure is interesting.

## The Results

I ran this simple program against 7 of the top youtubers and 7 youtubers from my own 
subscription I often watch. I set the video_fetch_limit to 20, so it only averaged the 
view count of 20 videos for each youtuber. The results were quite interesting

```
Youtuber: hotdiggedydemon       Ratio: 363.34%
Youtuber: JonTronShow           Ratio: 123.08%
Youtuber: HolaSoyGerman         Ratio: 71.46%
Youtuber: SecretAgentBob        Ratio: 43.36%
Youtuber: VanossGaming          Ratio: 42.6%
Youtuber: ashens                Ratio: 31.61%
Youtuber: jacksfilms            Ratio: 30.24%
Youtuber: nigahiga              Ratio: 28.77%
Youtuber: ExtraCreditz          Ratio: 21.48%
Youtuber: Smosh                 Ratio: 11.13%
Youtuber: GameGrumps            Ratio: 9.25%
Youtuber: PewDiePie             Ratio: 5.5%
Youtuber: RayWilliamJohnson     Ratio: 5.11%
Youtuber: Machinima             Ratio: 0.95%
```

The "Ratio" is the `averageViewCount / subscriberCount` shown as a percent.

##What does this mean?

I don't know! :D

An educated guess I have is, a higher Ratio means higher quality of the content. 

I base this off the first 2 youtubers from the sample output. The average view count is 
surpassing their subscriber count, meaning it's getting shared and viewed beyond their 
subscribers.
{'fraction_non_alphanumeric': 0.05654509471303364, 'fraction_numerical': 0.03336160588068985, 'mean_word_length': 3.1044083526682136, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '5668477', 'n_tokens_mistral': 1192, 'n_tokens_neox': 1013, 'n_words': 482}