[Solved]1 Exploratory Data Analysis Eda 30 Points Must Think Least 8 Relevant Questions Explore R Q37222440
1. Exploratory Data Analysis (EDA) 30 Points a. You must thinkof at least 8 relevant questions that explore the relationshipbetween loan_default and the other variables in the data set i. Anexample would be “Do loan default rates differ by customer age?” b.You must answer each question and provide supporting data summarieswith either a summary data frame (using dplyr) or a plot (usingggplot2) or both c. In total, you must have at least 5 plots and 5summary data frames for your EDA section d. You must use at least 3different plot types (ex. bar chart, histogram, heat map)
Below is loan data set info:
loan_data (R data frame) The loan_data data frame containsinformation on 3-year loans that were originated in 2013 by a localbank for customers residing in the United States. The company islooking to see if it can determine the factors that lead to loandefault and whether it can predict if a customer will eventuallydefault on their loan at time of loan origination. The goal is tobecome better at identifying customers at risk of defaulting ontheir loans to minimize the bank’s financial losses. The datasetcontains a mixture of applicant demographics (gender, age,residence, etc..), financial information (income, debt ratios, FICOscores, etc..), and applicant behavior (number of open accounts,historical engagement with the bank’s products, number of missedpayments, etc…) Variable Description loan_default Did the loanresult in default (Yes/No) residence_property Applicant residencestatus – Rent vs Ownership gender Applicant gender (Female/Male)age_category Applicant Age highest_ed_level Applicant highesteducation level – Less than High School through PhD/Doctoratedegree us_region_residence Applicant US region of residenceloan_amnt The loan amount in USD adjusted_annual_inc Applicantadjusted annual salary (for local cost of living) in USDpct_loan_income The loan amount as a proportion of adjusted incomefico_score Applicant FICO score (ranges between 300 and 850) dtiApplicant debt to income ratio inq_last_6mths Number of creditinquires in the last 6 months open_acc Applicant total openaccounts at bank bc_util Applicant bank utility score – a measureof applicant engagement with the bank’s productsnum_accts_ever_120_pd Number of loan accounts that were ever 120days past due for this applicant pub_rec_bankruptcies Applicantpublic bankruptcies
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