How Computers Compress Text: Huffman Coding and Huffman Trees
Published September 11, 2017
At a glance
Views
2,015,025
Likes
71,423
Comments
1,402
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Computers store text (or, at least, English text) as eight bits per character. There are plenty of more efficient ways that could work: so why don't we use them? And how can we fit more text into less space? Let's talk about Huffman coding, Huffman trees, and Will Smith. Thanks to the Cambridge Centre for Computing Hi…
- Published
- September 11, 2017
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How How Computers Compress Text: Huffman Coding and Huffman Trees is doing
It has 2.01M views in total. It ranks #3,148,732 among tracked YouTube videos by views.
Key facts about How Computers Compress Text: Huffman Coding and Huffman Trees
- Total views
- 2.01M
- Total likes
- 71.4K
- Total comments
- 1.40K
- Published
- September 11, 2017
- Global rank by views
- #3,148,732
Frequently asked questions
How many views does How Computers Compress Text: Huffman Coding and Huffman Trees have?
How Computers Compress Text: Huffman Coding and Huffman Trees has 2,015,025 views, 71,423 likes and 1,402 comments, ranking #3,148,732 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.