https://github.com/codewithjaspreet/yt-analyzer
Yt-Analyzer is a project using the Google YouTube API to fetch and visualize data from multiple YouTube channels, particularly focused on content related to DSA, with insights from the Striver YouTube channel.
https://github.com/codewithjaspreet/yt-analyzer
data-science python visualization
Last synced: 3 months ago
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Yt-Analyzer is a project using the Google YouTube API to fetch and visualize data from multiple YouTube channels, particularly focused on content related to DSA, with insights from the Striver YouTube channel.
- Host: GitHub
- URL: https://github.com/codewithjaspreet/yt-analyzer
- Owner: codewithjaspreet
- Created: 2023-07-15T15:07:45.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-07-16T08:37:57.000Z (almost 2 years ago)
- Last Synced: 2025-02-05T19:44:32.378Z (5 months ago)
- Topics: data-science, python, visualization
- Language: Jupyter Notebook
- Homepage:
- Size: 6.59 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Yt-Analyzer
Yt-Analyzer is a project that utilizes the Google YouTube API to fetch and display information about YouTube channels based on their channel IDs. This project provides a convenient way to gather data about multiple YouTube channels and visualize the collected information.
For playing with data I visualised data from different channels providing content on DSA & at the end gathered insights of videos from [Striver](https://www.youtube.com/@striver_79) youtube channel :)
## Running the Project
Follow these steps to run the project on your local machine:
### 1. Clone the Repository
Clone the project repository to your local machine using the following command:
$ git clone https://github.com/codewithjaspreet/yt-analyzer.git
**For Linux/macOS:**
python3 -m pip install --user virtualenv
python3 -m venv env
source env/bin/activate
### 4. Install Required Libraries
Install the necessary libraries by executing the following command:
This command will install the required libraries, including `pip3 install pandas`, `pip3 install google-api-python-client`, and `pip3 install seaborn`.
### 5. Run the Project
That's it! You have successfully set up and run the project on your machine :)