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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.

Cet exercice fait partie du cours

Improving Your Data Visualizations in Python

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Instructions

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

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

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

plt.show()
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