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What will the following code generate?fig = px.scatter(admission_df, x = "GRE Score", y = "Chance of Admit")fig.show()A.A static scatterplot for the “admission_df” pandas DataFrame showing the GRE Score on the x-axis and Chance of Admission on the y-axis.B.An interactive scatterplot for the “admission_df” pandas DataFrame showing the GRE Score on the x-axis and Chance of Admission on the y-axis.C.An interactive scatterplot for the “admission_df” pandas DataFrame showing the GRE Score on the y-axis and Chance of Admission on the x-axis.

Question

What will the following code generate?fig = px.scatter(admission_df, x = "GRE Score", y = "Chance of Admit")fig.show()A.A static scatterplot for the “admission_df” pandas DataFrame showing the GRE Score on the x-axis and Chance of Admission on the y-axis.B.An interactive scatterplot for the “admission_df” pandas DataFrame showing the GRE Score on the x-axis and Chance of Admission on the y-axis.C.An interactive scatterplot for the “admission_df” pandas DataFrame showing the GRE Score on the y-axis and Chance of Admission on the x-axis.

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Solution

The code will generate B. An interactive scatterplot for the “admission_df” pandas DataFrame showing the GRE Score on the x-axis and Chance of Admission on the y-axis. This is because the 'px.scatter' function from the plotly.express module (px) is used, which creates an interactive scatterplot. The first argument is the DataFrame to be used, the 'x' argument sets the variable for the x-axis, and the 'y' argument sets the variable for the y-axis. The 'fig.show()' function is then used to display the plot.

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