# Placed the original csv file into a github file and this code pulls from the github link
collegeDistance <- read.csv("https://raw.githubusercontent.com/GitHub-Vlad/Data-Science/main/CollegeDistance.csv", header = TRUE)
#Displaying the file which is being pulled from github link.
#I will display the first twenty rows of the new data frame subset
head(collegeDistance,100)
## X gender ethnicity score fcollege mcollege home urban unemp wage distance
## 1 1 male other 39.15 yes no yes yes 6.2 8.09 0.2
## 2 2 female other 48.87 no no yes yes 6.2 8.09 0.2
## 3 3 male other 48.74 no no yes yes 6.2 8.09 0.2
## 4 4 male afam 40.40 no no yes yes 6.2 8.09 0.2
## 5 5 female other 40.48 no no no yes 5.6 8.09 0.4
## 6 6 male other 54.71 no no yes yes 5.6 8.09 0.4
## 7 7 female other 56.07 no no yes no 7.2 8.85 0.4
## 8 8 female other 54.85 no no yes no 7.2 8.85 0.4
## 9 9 male other 64.74 yes no yes yes 5.9 8.09 3.0
## 10 10 female other 56.06 no no yes yes 5.9 8.09 3.0
## 11 11 female other 42.22 no no yes yes 5.9 8.09 3.0
## 12 12 female afam 61.18 no yes yes yes 5.9 8.09 3.0
## 13 13 male other 59.85 no no yes no 7.2 8.85 0.1
## 14 14 female other 58.77 yes no yes no 7.2 8.85 0.1
## 15 15 female afam 53.72 yes yes yes no 7.2 8.85 0.1
## 16 16 male other 61.52 no no yes no 7.2 8.85 0.1
## 17 17 female other 52.53 no no yes no 7.2 8.85 0.1
## 18 18 female other 45.01 no no yes no 7.2 8.85 0.1
## 19 19 female other 57.71 no no yes no 7.2 8.85 0.1
## 20 20 female other 59.36 yes yes yes no 7.2 8.85 0.1
## 21 21 female other 50.93 no no yes no 7.7 7.04 0.5
## 22 22 male other 59.56 yes no yes no 7.7 7.04 0.5
## 23 23 male other 58.46 yes yes yes no 7.7 7.04 0.5
## 24 24 female other 55.70 no no no no 7.7 7.04 0.5
## 25 25 male other 60.81 no no yes no 7.7 7.04 0.5
## 26 26 female afam 40.60 no no yes no 5.4 8.85 0.9
## 27 27 female other 49.99 no no yes no 5.4 8.85 0.9
## 28 28 male other 59.69 no no yes yes 5.1 8.85 0.5
## 29 29 male other 60.33 no no yes yes 5.1 8.85 0.5
## 30 30 female other 60.14 yes no yes yes 5.1 8.85 0.5
## 31 31 female other 68.58 yes yes yes yes 5.1 8.85 0.5
## 32 32 female other 42.61 no no yes yes 5.1 8.85 0.5
## 33 33 male other 58.66 yes no yes yes 5.1 8.85 0.5
## 34 34 male other 58.14 no no yes yes 5.1 8.85 0.5
## 35 35 female other 58.95 no no yes yes 5.1 8.85 0.5
## 36 36 male other 49.37 no no yes yes 5.4 8.85 0.2
## 37 37 female other 47.25 no yes no yes 5.4 8.85 0.2
## 38 38 male other 61.03 yes no no no 6.2 8.09 0.6
## 39 39 male other 54.35 no no no no 6.2 8.09 0.6
## 40 40 female other 68.12 yes yes yes no 6.2 8.09 0.6
## 41 41 male other 70.10 yes no yes no 6.2 8.09 0.6
## 42 42 female other 58.61 no no no no 6.2 8.09 0.6
## 43 43 female other 48.57 no no yes no 6.2 8.09 0.6
## 44 44 female other 51.11 no no yes no 6.2 8.09 0.6
## 45 45 female other 39.41 no no yes no 6.2 8.09 0.6
## 46 46 female other 54.98 yes no yes no 7.2 7.04 0.1
## 47 47 female afam 41.59 yes yes no no 7.2 7.04 0.1
## 48 48 female other 55.32 no no yes no 7.2 7.04 0.1
## 49 49 male hispanic 42.23 no no yes no 7.2 7.04 0.1
## 50 50 female other 62.00 no no yes no 7.2 7.04 0.1
## 51 51 male hispanic 49.65 no no no no 7.2 7.04 0.1
## 52 52 female other 44.96 no no yes no 7.2 7.04 0.1
## 53 53 female other 37.31 no no yes no 7.2 7.04 0.1
## 54 54 male other 39.87 no no yes no 7.2 7.04 0.1
## 55 55 female other 56.44 no no yes no 5.4 8.85 0.1
## 56 56 male afam 42.65 no no yes no 5.4 8.85 0.1
## 57 57 female other 60.05 yes yes yes no 5.4 8.85 0.1
## 58 58 female other 38.32 no no no no 5.4 8.85 0.1
## 59 59 female other 65.87 yes no yes no 5.4 8.85 0.1
## 60 60 male other 44.65 no no yes no 5.4 8.85 0.1
## 61 61 male other 57.74 no no yes no 5.5 8.09 1.5
## 62 62 male other 60.38 yes no yes no 5.5 8.09 1.5
## 63 63 male other 62.77 no no no no 5.5 8.09 1.5
## 64 64 male other 59.73 no no yes no 5.5 8.09 1.5
## 65 65 female other 57.06 yes no yes no 5.5 8.09 1.5
## 66 66 female other 58.02 no no yes no 5.5 8.09 1.5
## 67 67 female other 54.74 no no yes no 5.5 8.09 1.5
## 68 68 female other 46.28 no no yes no 6.9 7.04 2.0
## 69 69 female other 60.40 no no yes no 6.9 7.04 2.0
## 70 70 male other 53.21 no no yes no 6.9 7.04 2.0
## 71 71 female other 60.93 no no yes no 6.5 8.09 1.5
## 72 72 female other 48.44 no no yes no 6.5 8.09 1.5
## 73 73 female other 45.31 no no yes no 7.7 7.04 2.0
## 74 74 male other 60.22 yes no yes no 7.7 7.04 2.0
## 75 75 male other 56.42 no no yes no 7.7 7.04 2.0
## 76 76 female other 62.27 no yes yes no 7.7 7.04 2.0
## 77 77 male other 51.84 yes yes no no 4.4 8.09 0.5
## 78 78 female other 57.55 no no yes no 4.4 8.09 0.5
## 79 79 female other 57.62 yes no yes no 4.4 8.09 0.5
## 80 80 male other 57.50 no yes yes no 4.4 8.09 0.5
## 81 81 male other 65.31 yes no yes no 7.5 8.09 0.5
## 82 82 male other 50.62 yes no yes no 7.5 8.09 0.5
## 83 83 male other 51.23 no no yes no 7.5 8.09 0.5
## 84 84 female other 53.55 no no no no 7.5 8.09 0.5
## 85 85 female other 48.52 no no yes no 7.5 8.09 0.5
## 86 86 female other 43.41 no no yes no 7.5 8.09 0.5
## 87 87 female other 57.50 no no yes no 7.5 8.09 0.5
## 88 88 female other 51.32 no no yes no 5.9 7.09 1.2
## 89 89 female other 36.37 no no no no 5.9 7.09 1.2
## 90 90 female other 43.80 no no yes no 5.9 7.09 1.2
## 91 91 female other 45.14 no no yes no 5.9 7.09 1.2
## 92 92 female other 63.26 no no yes no 5.9 7.09 1.2
## 93 93 female other 51.32 yes yes yes no 5.9 7.09 1.2
## 94 94 male other 44.23 no no yes no 5.9 7.09 1.2
## 95 95 female other 42.93 no no yes no 5.3 8.09 0.1
## 96 96 female other 47.60 no no yes no 5.3 8.09 0.1
## 97 97 male other 56.47 yes no yes no 5.3 8.09 0.1
## 98 98 male other 64.69 no no yes no 5.3 8.09 0.1
## 99 99 female other 62.35 yes yes yes no 5.3 8.09 0.1
## 100 100 female other 48.96 no no yes no 6.1 7.69 2.5
## tuition education income region
## 1 0.88915 12 high other
## 2 0.88915 12 low other
## 3 0.88915 12 low other
## 4 0.88915 12 low other
## 5 0.88915 13 low other
## 6 0.88915 12 low other
## 7 0.84988 13 low other
## 8 0.84988 15 low other
## 9 0.88915 13 low other
## 10 0.88915 15 low other
## 11 0.88915 12 high other
## 12 0.88915 14 high other
## 13 0.84988 15 low other
## 14 0.84988 17 high other
## 15 0.84988 14 low other
## 16 0.84988 15 low other
## 17 0.84988 12 high other
## 18 0.84988 12 low other
## 19 0.84988 16 low other
## 20 0.84988 16 high other
## 21 0.90300 13 low other
## 22 0.90300 14 high other
## 23 0.90300 13 low other
## 24 0.90300 16 low other
## 25 0.90300 15 low other
## 26 0.84988 12 low other
## 27 0.84988 12 low other
## 28 0.84988 15 low other
## 29 0.84988 16 low other
## 30 0.84988 12 high other
## 31 0.84988 16 high other
## 32 0.84988 12 low other
## 33 0.84988 16 high other
## 34 0.84988 14 low other
## 35 0.84988 16 low other
## 36 0.84988 17 low other
## 37 0.84988 16 low other
## 38 0.88915 14 high other
## 39 0.88915 15 high other
## 40 0.88915 15 high other
## 41 0.88915 17 high other
## 42 0.88915 15 low other
## 43 0.88915 12 low other
## 44 0.88915 12 low other
## 45 0.88915 15 low other
## 46 0.90300 16 high other
## 47 0.90300 12 low other
## 48 0.90300 13 low other
## 49 0.90300 12 low other
## 50 0.90300 16 low other
## 51 0.90300 15 low other
## 52 0.90300 12 low other
## 53 0.90300 12 low other
## 54 0.90300 12 low other
## 55 0.84988 16 low other
## 56 0.84988 12 low other
## 57 0.84988 15 high other
## 58 0.84988 12 low other
## 59 0.84988 15 high other
## 60 0.84988 13 low other
## 61 0.88915 16 high other
## 62 0.88915 12 high other
## 63 0.88915 12 high other
## 64 0.88915 16 low other
## 65 0.88915 16 high other
## 66 0.88915 15 low other
## 67 0.88915 12 low other
## 68 0.90300 14 low other
## 69 0.90300 12 low other
## 70 0.90300 18 high other
## 71 0.88915 14 low other
## 72 0.88915 15 low other
## 73 0.90300 12 low other
## 74 0.90300 12 high other
## 75 0.90300 16 low other
## 76 0.90300 17 high other
## 77 0.88915 18 high other
## 78 0.88915 16 high other
## 79 0.88915 12 high other
## 80 0.88915 12 high other
## 81 0.88915 16 low other
## 82 0.88915 14 high other
## 83 0.88915 15 low other
## 84 0.88915 14 low other
## 85 0.88915 12 low other
## 86 0.88915 14 low other
## 87 0.88915 14 low other
## 88 1.38568 15 low other
## 89 1.38568 12 low other
## 90 1.38568 12 low other
## 91 1.38568 12 high other
## 92 1.38568 16 low other
## 93 1.38568 17 low other
## 94 1.38568 12 low other
## 95 0.88915 12 high other
## 96 0.88915 12 low other
## 97 0.88915 13 high other
## 98 0.88915 16 low other
## 99 0.88915 16 low other
## 100 1.11201 12 low other