From the course: Data Visualization with Python in Excel
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Solution: Enhance AI-generated visualizations
From the course: Data Visualization with Python in Excel
Solution: Enhance AI-generated visualizations
(upbeat electronic music) - [Instructor] Welcome back. How did you enjoy using Copilot? Let's compare my solution to yours and remember, there's a lot of uncertainty and variability here. We could enter the same prompt and end up with completely different outputs, although the more detailed we are, the more consistent we're likely to be. So prepare to get specific and open your Copilot challenge workbook to follow along. If you haven't already, load the file into OneDrive and then start advanced analysis. First, the KDE plot by species. Here's the prompt that I use. I'll paste it in and run it. Here I directly asked to use different colors for each category and adjust the transparency, add the title and so forth. You might assume Copilot would just add this to the code, and usually it will, but, again, the more detailed you are, the less you leave up to chance. AI is smart but it can't read your mind. Okay, next to the scatterplot. Similar deal here. One thing you might do to really…
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Contents
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Building a moving average chart3m 7s
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Creating dynamic measures with Python in Excel4m 35s
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Challenge: Combine use cases for real-world scenarios1m 52s
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Solution: Combine use cases for real-world scenarios2m 18s
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Using Copilot to generate Python visualizations5m 44s
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Challenge: Enhance AI-generated visualizations1m 48s
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Solution: Enhance AI-generated visualizations3m 7s
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