Dataset research report
Channel Metadata research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
Dataset containing video metadata from a few tech channels, i.e. James Briggs Yannic Kilcher sentdex Daniel Bourke AI Coffee Break with Letitia Alex Ziskind
Research Context
Channel Metadata: 500 rows by 10 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.
Data Profile
Chart Evidence
These views are generated from the dataset profile. Each chart is paired with a Helix query so it can be opened, adjusted, and exported.
Total Like Count by Channel ID
Top Channel ID values ranked by summed Like Count.
Open and export this chartLike Count vs Dislike Count
Like Count vs Dislike Count, coloured by Channel ID.
Open and export this chartLike Count by Channel ID
Spread of Like Count across Channel ID groups.
Open and export this chartFollow-Up Queries
Preview Rows
| # | Video IDtext | Channel IDtext | Titletext | Time Createdtext | Time Publishedtext | Durationtext | Descriptiontext | Categorytext |
|---|---|---|---|---|---|---|---|---|
| 1 | Jk1YP4Y_U_0 | UCv83tO5cePwHMt1952IVVHw | Stoic Philosophy Text Generation with TensorFlow | 2020-04-19 11:33:45 UTC | 2020-04-19 13:52:43 UTC | 1859 seconds | Explanation of key parts to a RNN text generator built in TensorFlow with Python. 🤖 70% Discount on the NLP With Transformers in Python co… | People & Blogs |
| 2 | gXqHd6-NKBo | UCv83tO5cePwHMt1952IVVHw | How to Build TensorFlow Pipelines with tf.data.Dataset | 2020-11-02 08:23:38 UTC | 2020-11-02 08:57:48 UTC | 1853 seconds | Link to updated version (without video freeze): https://youtu.be/f6XVfgJTbp4 An introduction to building better input pipelines for Machin… | People & Blogs |
| 3 | yYEPNla4tlQ | UCv83tO5cePwHMt1952IVVHw | Every New Feature in Python 3.10.0a2 | 2020-11-08 18:09:49 UTC | 2020-11-10 16:44:05 UTC | 883 seconds | Every new feature in the early release alpha 2 preview of Python 3.10 There is video lag 5:00 - 9:55 covering the Type Alias section (sorr… | People & Blogs |
| 4 | GYDFBfx8Ts8 | UCv83tO5cePwHMt1952IVVHw | How-to Build a Transformer for Language Classification in TensorFlow | 2020-11-19 09:57:27 UTC | 2020-11-19 12:20:35 UTC | 2299 seconds | 🎁 Free NLP for Semantic Search Course: https://www.pinecone.io/learn/nlp How to build a transformer model for sentiment analysis (language… | People & Blogs |
| 5 | DgGFhQmfxHo | UCv83tO5cePwHMt1952IVVHw | How-to use the Kaggle API in Python | 2020-11-22 20:19:30 UTC | 2020-11-22 20:29:27 UTC | 462 seconds | Simple step-by-step tutorial covering the setup and use of the Kaggle API for downloading datasets using the Kaggle library in Python. 🤖 7… | People & Blogs |
| 6 | YvVQgvAz9dY | UCv83tO5cePwHMt1952IVVHw | Language Generation with OpenAI's GPT-2 in Python | 2020-11-23 12:36:44 UTC | 2020-11-24 14:22:46 UTC | 498 seconds | Easy natural language generation with Transformers and PyTorch. We apply OpenAI's GPT-2 model to generate text in just a few lines of Pytho… | People & Blogs |
Data Dictionary
- Video ID text
- Channel ID categorical
- Title text
- Time Created datetime
- Time Published datetime
- Duration text
- Description text
- Category categorical
- Like Count numeric
- Dislike Count numeric
Method And Limits
- Load the catalog entry and preview rows from the processed dataset file.
- Infer numeric, categorical, time, and location fields from real columns.
- Generate a small set of defensive Plotly chart specifications from that profile.
- Expose each chart idea as a query link so the report can be rerun or exported in Helix.
This report is intentionally reproducible. It uses the local catalog metadata and generated chart specifications rather than claiming external conclusions beyond the dataset.