[OC] I created an interactive, real-time visualization of Twitch
September 15, 2024
[OC] I created an interactive, real-time visualization of Twitch
Posted by PrizeNeighborhood252
1 comment
**Source:**
The data is retrieved in real-time from the official [Twitch API](https://dev.twitch.tv/docs/api/reference/). This includes live information on top games, channels, viewer counts, languages, and other relevant statistics.
**Tool:**
I built the interactive visualizations using **JavaScript** and **D3.js**. The frontend uses D3.js for rendering dynamic and interactive bubble charts. The backend is powered by **Python**, which handles data fetching and processing.
**Methods:**
* **Data Collection:** The application makes periodic requests to the Twitch API to fetch the latest data on games, channels, and viewer counts. * **Data Processing:** Collected data is processed and aggregated to calculate metrics such as total viewers per game or language. * **Visualization:** Using D3.js, the processed data is visualized as interactive bubble charts. Users can filter and explore the data by selecting different games or languages, and the visualization updates in real-time.
**Scripts and Code:**
While the full source code isn’t publicly available at the moment. If anyone is interested in specific aspects of the implementation, feel free to ask, and I’ll be happy to share more details.
1 comment
**Source:**
The data is retrieved in real-time from the official [Twitch API](https://dev.twitch.tv/docs/api/reference/). This includes live information on top games, channels, viewer counts, languages, and other relevant statistics.
**Tool:**
I built the interactive visualizations using **JavaScript** and **D3.js**. The frontend uses D3.js for rendering dynamic and interactive bubble charts. The backend is powered by **Python**, which handles data fetching and processing.
**Methods:**
* **Data Collection:** The application makes periodic requests to the Twitch API to fetch the latest data on games, channels, and viewer counts.
* **Data Processing:** Collected data is processed and aggregated to calculate metrics such as total viewers per game or language.
* **Visualization:** Using D3.js, the processed data is visualized as interactive bubble charts. Users can filter and explore the data by selecting different games or languages, and the visualization updates in real-time.
**Scripts and Code:**
While the full source code isn’t publicly available at the moment. If anyone is interested in specific aspects of the implementation, feel free to ask, and I’ll be happy to share more details.