HW 9

HW 9   Stats and Charts in Google Colab
Due 3pm Mon 9/29

We’ve been using Google sheets to work with the NHANES dataset.  Now it is time to do some of the same things using Google Colab! 

Do the following:

1. Load the Health and Nutrition Survey (NHANES) small version dataset into Colab

2. Use Gemini (or ChatGPT) to generate the Python code to give you descriptive statistics.  

3. Ask Gemini (or ChatGPT) to create the appropriate charts (e.g. histograms, line charts, pie charts, box plots, or bar charts) for each feature (column).  Also generate at least one scatter plot, one pie chart, and one box plot.
   These are useful to spot and handle distributions, outliers, trends, and points of interest. 

Create a page on your website for HW 9.  Copy at least five different plots onto your page, with a couple of sentences along with each one, giving an intuitive explanation of it and explaining what it reveals, and any issues that arose along the way.