분양률과 지역경제성장에 대한 상관관계 분석 | R | CHATGPT

 

 

# Load required libraries

library(tidyverse)

 

# Load the data

data <- read.csv("data.csv")

 

# Calculate the correlation between the sale rate and economic growth

correlation <- cor(data$sale_rate, data$economic_growth)

 

# Print the correlation coefficient

print(correlation)

 

# Plot the data to visualize the relationship

ggplot(data, aes(x = sale_rate, y = economic_growth)) +

geom_point() +

geom_smooth(method = "lm", se = FALSE) +

ggtitle("Correlation between Sale Rate and Economic Growth") +

xlab("Sale Rate") +

ylab("Economic Growth")

 

# Interpret the results

if (correlation > 0) {

print("There is a positive correlation between the sale rate and economic growth.")

} else if (correlation < 0) {

print("There is a negative correlation between the sale rate and economic growth.")

} else {

print("There is no correlation between the sale rate and economic growth.")

}

 

This code will load the required packages and load the data, then calculate the correlation coefficient between the sale rate and economic growth. It will print the correlation coefficient, create a scatterplot of the data with a fitted line to visualize the relationship, and interpret the results based on the value of the correlation coefficient.

 

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