PlayTime: Using freely available data to play with GPT
You have heard that GPT can be used to explore data, and you want to try it, but worry about putting your data into these models. You can use Kaggle datasets and then go exploring with GPT Data Analysis.
What is the process to play like this?
Go to Kaggle.com and grab a dataset that is close to what you would typically work with.
Log into ChatGPT, start a new chat and move the slider to GPT4, then choose Data Analysis.
In the chat box, click the plus sign on the left side and add the CSV file you got from Kaggle.
Start asking questions about the data. (This is the fun part)
Sample questions: What is this data about? Can you perform a key driver analysis of what topics in the review are driving the star rating? (I was using the bank review data)Vectorize the review text using TF-IDF. Perform KMeans clustering to identify topics. Analyze the relationship between these topics and the star ratings. Compare the customer service reviews of "chase_bank" with those of "citibank" to understand if the issues are bank-specific or industry-wide.
Keep going, ask all kinds of questions, and ask for graphs and trends - after all this is playtime!
What is Kaggle?
The cool thing about Kaggle is that it offers free data sets you can explore. For example, there is a dataset of 20,000 bank reviews (https://www.kaggle.com/datasets/trainingdatapro/20000-customers-reviews-on-banks). The Review on Banks Dataset is a comprehensive collection of the most recent customer reviews on 48 US banks. Kaggle.com is an online community of data scientists and machine learning practitioners who share their work and collaborate on data science projects.
What is ChatGPT Advanced Data Analysis
Formerly known as Code Interpreter, it is an experimental ChatGPT plugin that allows the language model to execute code in a sandboxed environment. It enables users to upload files, create visualizations, and seamlessly download the results.
We don't stop playing because we grow old; we grow old because we stop playing. - George Bernard Shaw
