ChatGPT: Vehicle Data Time Series Analysis [GPT4 + Code Interpreter]

Intro: ChatGPT + CAN bus data!
https://www.csselectronics.com/pages/chatgpt-can-bus-data-time-series-code-interpreter

In this awesome intro article, we show how you can use ChatGPT (GPT4) with Code Interpreter to perform complex analyses of your CAN bus time series data (in just minutes, with zero coding).

We use the following data 🔍
- 10,000+ km of CAN/UDS data (Kia EV6)
- 1+ year of data
- GPS/IMU data from CANedge3
- 3,000+ MF4 log files (1 GB)
- 80+ parameters
- 100 MB CSV file (DBC decoded)

📎 BONUS: You can download the full Kia EV6 CSV (100% free). This lets you try any of the analyses yourself - or make up your own!

The intro article covers the following:
💡 How to set up GPT4 + Code Interpreter
💡 How to prepare your CAN data
💡 12 awesome visual show cases of analyses
- Data visualization
- Correlation analysis
- 3D surface maps and scatter plots
- GPS based speed heatmaps
- Event identification and geo-plotting
- Geo-tagged driver benchmarking
- Fleet analysis
- ... and much more
💡 10 tips and tricks
💡 Our verdict: Is GPT4 useful?

Definitely check out the article if you're interested in how you can most efficiently analyse large amounts of CAN bus data!

Видео ChatGPT: Vehicle Data Time Series Analysis [GPT4 + Code Interpreter] канала CSS Electronics