Exercise

Visualizing two numeric variables

Before you can run any statistical models, it's usually a good idea to visualize your dataset. Here, you'll look at the relationship between house price per area and the number of nearby convenience stores using the Taiwan real estate dataset.

One challenge in this dataset is that the number of convenience stores contains integer data, causing points to overlap. To solve this, you will make the points transparent.

taiwan_real_estate is available as a pandas DataFrame.

Instructions 1/2

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  • Import the seaborn package, aliased as sns.
  • Using taiwan_real_estate, draw a scatter plot of "price_twd_msq" (y-axis) versus "n_convenience" (x-axis).