From the course: Complete Guide to Generative AI for Data Analysis and Data Science
Unlock the full course today
Join today to access over 24,600 courses taught by industry experts.
Visualizing a uniform distribution in Python
From the course: Complete Guide to Generative AI for Data Analysis and Data Science
Visualizing a uniform distribution in Python
- [Instructor] Let's take a look at generating a uniform distribution. So, once again, I'm going to ask ChatGPT to create a Python script to generate a uniform distribution, and let's use test scores as an example of test scores in the range of zero to 100. Now, we've seen how we can generate test scores and then ask ChatGPT to add visualizations to it. I'm going to just put that all in one prompt, or question or thing that I'm asking of ChatGPT. The output of the script should be a visualization showing the distribution of test scores. So, let's see what that comes up with. Okay, this looks pretty straightforward. It's a little bit less complicated than the last piece of code, but we'll take a look. We are importing our libraries, NumPy and Matplotlib, which we've seen before. We're saying the number of scores to generate is 1,000. We'll change that to 100. So, you'll notice, not everything gets understood correctly. We always want to make sure when we're working with code generated…
Contents
-
-
-
-
-
-
-
(Locked)
Distributions of data7m 27s
-
(Locked)
Visualizing a normal distribution in a spreadsheet3m 29s
-
(Locked)
Jupyter Notebook and Colab3m 51s
-
Generating a normal distribution6m 23s
-
(Locked)
Visualizing a normal distribution in Python4m 56s
-
(Locked)
Visualizing a uniform distribution in Python3m
-
(Locked)
Visualizing a bimodal distribution in Python5m 54s
-
(Locked)
Challenge: Distributions of data40s
-
(Locked)
Solution: Distribution of data4m 7s
-
(Locked)
-
-
-
-
-
-
-
-
-
-
-
-
-
-