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Let's summarize our findings into a Google sheet. Let's surf the internet again and find the global indexes for these companies. Now I will add them to our spreadsheet. Here is what I will ask ChatGPT: Now that I have retrieved the code, I am going to head on over to Google Colab and paste the code into a brand new file to see if the code will make an arbitrary graph for me. Just give the computer a bit of time to run the code. Nice! It worked. Now, let's ask ChatGPT to help us include the data that we have found so that we can make a graph based on our actual research. What you may notice is that it doesn't work the first time you try it. To get through this issue, you will need to repeatedly show the error to ChatGPT until it has fully understood your situation and has produced a graph that accurately presents what you're looking for. Have a look at this chat that I had with the GPT to get to the final result. Great! We made the graph! However, our work isn't done here. We still need to make an educated decision on which company is the best choice. Based on our three variables, it would be safe to say that the company that is closest to the top right corner of the 3D graph is the best choice because it would make the most money while also keeping its social responsibility in check. The graph that we created with ChatGPT and Google Colab leaves us with two options: NVIDIA, which has a very high DJSI score and an average P/E Ratio, and Tesla, which has an average DJSI score but a very high P/E Ratio. The final decision ultimately comes down to whether or not the investor would like to put more weight on earning money or on improving different aspects of society. Personally, I would choose NVIDIA because it has a better balance for both. And there you have it. A full walkthrough on how to make informed decisions on investing using data visualization alongside free, open-source technology. I really hope you learned something today. Thank you so much for watching this video. Goodbye!