September 2018
Beginner to intermediate
140 pages
2h 52m
English
Content preview from Applied Data Visualization with R and ggplot2
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Activity: Studying Correlated Variables
Steps for Completion:
- Make a subset of the loan dataset by using some of the following variables:
df3_1 <- df3[,c("funded_amnt","annual_inc","dti","inq_last_6mths", "total_acc","total_pymnt_inv")]
- Use cor for the preceding loan data subset, and then choose two highly correlated variables in the loan dataset. Use pairs, as follows:
total_rec_prncp and total_pymnt_intfunded_amnt,total_pymnt_inv
- Make a scatterplot for the preceding pairs for grade A, then fit a linear regression model.
- Determine what are the correlations of the preceding pairs.
Outcome:
Answer to step 4: The correlations are as follows:
- 93%
- 85%
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