Hello, welcome to this tutorial where I’m going to show you how to use ChatGPT to perform web traffic analysis and detect anomalies. This tutorial will specifically focus on using ChatGPT plus GPT 4 version with an activated notable plug-in.
To begin, we need to load the data set from a public repository on GitHub. Please ensure that the repository is visible to the public and does not contain any sensitive data. If necessary, anonymize the data to protect its source and content.
Next, we will create a project in notable to record all the code, analysis, and graphs. This will allow us to easily access and review the results if any issues occur, such as graphs not displaying on ChatGPT.
Now, let’s move on to the actual prompt. In this prompt, we will ask ChatGPT to analyze the traffic data and identify potential anomalies caused by bots on our websites. We will request a visual graph representation of the anomalies.
With everything set up, we can deploy the prompt and see the results. Notable will create a notebook in the project, and we can access it to view the generated chart. If the chart is not displayed, we can use another prompt to ask ChatGPT to show the graph.
Once the analysis is complete, we will have a list of potential anomalies based on the high z-score. We can further investigate these data points to gather more detailed information. However, our initial analysis provides us with a starting point and can be completed in just a few minutes.
Thank you for your attention, and I hope you found this tutorial helpful. Stay tuned for more informative articles in the future!
