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# Part 1: Create a bar chart of the average loan amount by racial and ethnic group. Make sure your axes are properly labeled and your chart has a title.

# Part 2: Create a bar chart of the fraction of loan denied by the financial institution by racial and ethnic group. Make sure your axes are properly labeled and your chart has a title.

# Part 3: Create a histogram of the loan amount.

# Part 4: Create a scatter plot of applicant income vs. loan amount. Do you see any relationship? # use the cor() function to calculate the correlation between the two variables.

((PLEASE ANSWER BY R STUDIO))

# Download the data file hmda_small . # folder and read the data into R using the read.csv() function.

Be sure to assign the data to an object called hmda when you read it in.

Here are the codes :

data_url <-

"https://raw.githubusercontent.com/wampeh1/Ecog314_Spring2017/master/lecture4/data/hmda_small.csv"

if ( ! file.exists("hmda_small.csv") ) {

download.file(data_url, "hmda_small.csv")

}

hmda_small <- read.csv("hmda_small.csv", stringsAsFactors = FALSE)

Computer Engineering, Engineering

  • Category:- Computer Engineering
  • Reference No.:- M93081584

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