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- Question 30
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Question 30/70
You are using an Azure Synapse notebook to create a Python visual.
You run the following code cell to import a dataset named Iris.
A sample of the data is shown in the following table.
You need to create the visual shown in the exhibit. (Click the Exhibit tab.)
How should you complete the Python code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You run the following code cell to import a dataset named Iris.
A sample of the data is shown in the following table.
You need to create the visual shown in the exhibit. (Click the Exhibit tab.)
How should you complete the Python code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation
Box 1: pairplot
A pairs plot allows us to see both distribution of single variables and relationships between two variables. Pair plots are a great method to identify trends for follow-up analysis and, fortunately, are easily implemented in Python!
Example, let's plot data using pairplot:
From the picture below, we can observe the variations in each plot. The plots are in matrix format where the row name represents x axis and column name represents the y axis. The main-diagonal subplots are the univariate histograms (distributions) for each attribute.
A picture containing diagram Description automatically generated
Box 2: sepal_width
sepal_width is displayed with a height of 2.5 (between 2.0 and 4.5).
Reference: https://medium.com/analytics-vidhya/pairplot-visualization-16325cd725e6
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