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Scatter Matrix of Customer Data Variables

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This document provides instructions to create a scatter plot matrix using pandas plotting functions. The student is asked to generate the scatter plot matrix using the q_15_data dataframe, setting the figure size to (12,12) and diagonal plots to 'kde', leaving other parameters at default values. This will allow visualizing relationships between 4 variables in the dataframe: account balance, number of contacts in current campaign, days since previous campaign, and number of contacts in previous campaign.

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4 Points Create a scatter matrix using the function from the pandas . plotting module (as demonstrated in lecture notebooks). Assign the output from the pandas function to ans 15 For input, use the dataframe q_15_data below and set figsize= (12,12) and diagonal= ' kde . Leave all other parameters set to their default value. Hint: Review these pandas docs. COLS_TO_PLOT = [ 'account_balance', 'num_contacts_campaign', 'days_since_prev_campaign', 'num_contacts_previous', ] q_15_data = partial () [COLS_TO_PLOT] q_15_data.head (3) ### GRADED ### YOUR SOLUTION HERE ans 15= None ### ### YOUR CODE HERE ###

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Scatter Matrix of Customer Data Variables

  • 1. 4 Points Create a scatter matrix using the function from the pandas . plotting module (as demonstrated in lecture notebooks). Assign the output from the pandas function to ans 15 For input, use the dataframe q_15_data below and set figsize= (12,12) and diagonal= ' kde . Leave all other parameters set to their default value. Hint: Review these pandas docs. COLS_TO_PLOT = [ 'account_balance', 'num_contacts_campaign', 'days_since_prev_campaign', 'num_contacts_previous', ] q_15_data = partial () [COLS_TO_PLOT] q_15_data.head (3) ### GRADED ### YOUR SOLUTION HERE ans 15= None ### ### YOUR CODE HERE ###