Is latitude related to months open?

While exploring the farmers market dataset with a scatter matrix, you noticed a potentially interesting relationship between a market's latitude and the number of months it stays open. Digging into this relationship a bit further, you decide to use Seaborn's regression plot to see if there's any weight to this pattern or if the heavy overlap of the points is playing tricks on your eyes.

To make the regression line stand out, you'll want to lower the overlapping background points opacity and color them a muted gray. Since you're not going to be making any formal inference and want to quickly investigate a pattern, you can turn off the default uncertainty band.

This exercise is part of the course

Improving Your Data Visualizations in Python

Exercise instructions

Set the scatter plot's points opacity to 10% and color them 'gray'.
Disable the default confidence interval band.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

sns.regplot(x = 'lat', 
            y = 'months_open', 
            # Set scatter point opacity & color
            ____ = {'alpha':____, 'color':'____'}, 
            # Disable confidence band
            ____ = ____, 
            data = markets)

plt.show()

Edit and Run Code

This exercise is part of the course

Improving Your Data Visualizations in Python

IntermediateSkill Level

4.7+

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Current Exercise

Exercise 7: What state is the most market-friendly?Exercise 8: Popularity of goods sold by state Exercise 9: Making your visualizations efficient Exercise 10: Stacking to find trends Exercise 11: Using a plot as a legend Exercise 12: Tweaking your plots Exercise 13: Cleaning up the background Exercise 14: Remixing a plot Exercise 15: Enhancing legibility Exercise 16: Congrats!