Question: Please import the admit.csv into Rstudio. In this dataset, we know the GRE score, the GPA, and the rank of 400 applicants for a graduate

Please import the admit.csv into Rstudio. In this dataset, we know the GRE score, the GPA, and the rank of 400 applicants for a graduate program. We also know if each of the candidates is admitted. In the admit column, 1 stands for admitted, and 0 stands for rejected. We are going to do clustering based on GRE and GPA for these applicants. Do not forget to standardize the dataset before clustering. Please do hierarchical clustering using complete link method. If you want only two clusters, what cluster is the 4th applicant in? If you want three clusters, what cluster is the 4th applicant in? Please show the codes while answer the questions.

admit,gre,gpa,rank

0,380,3.61,3

1,660,3.67,3

1,800,4,1

1,640,3.19,4

0,520,2.93,4

1,760,3,2

1,560,2.98,1

0,400,3.08,2

1,540,3.39,3

0,700,3.92,2

0,800,4,4

0,440,3.22,1

1,760,4,1

0,700,3.08,2

1,700,4,1

0,480,3.44,3

0,780,3.87,4

0,360,2.56,3

0,800,3.75,2

1,540,3.81,1

0,500,3.17,3

1,660,3.63,2

0,600,2.82,4

0,680,3.19,4

1,760,3.35,2

1,800,3.66,1

1,620,3.61,1

1,520,3.74,4

1,780,3.22,2

0,520,3.29,1

0,540,3.78,4

0,760,3.35,3

0,600,3.4,3

1,800,4,3

0,360,3.14,1

0,400,3.05,2

0,580,3.25,1

0,520,2.9,3

1,500,3.13,2

1,520,2.68,3

0,560,2.42,2

1,580,3.32,2

1,600,3.15,2

0,500,3.31,3

0,700,2.94,2

1,460,3.45,3

1,580,3.46,2

0,500,2.97,4

0,440,2.48,4

0,400,3.35,3

0,640,3.86,3

0,440,3.13,4

0,740,3.37,4

1,680,3.27,2

0,660,3.34,3

1,740,4,3

0,560,3.19,3

0,380,2.94,3

0,400,3.65,2

0,600,2.82,4

1,620,3.18,2

0,560,3.32,4

0,640,3.67,3

1,680,3.85,3

0,580,4,3

0,600,3.59,2

0,740,3.62,4

0,620,3.3,1

0,580,3.69,1

0,800,3.73,1

0,640,4,3

0,300,2.92,4

0,480,3.39,4

0,580,4,2

0,720,3.45,4

0,720,4,3

0,560,3.36,3

1,800,4,3

0,540,3.12,1

1,620,4,1

0,700,2.9,4

0,620,3.07,2

0,500,2.71,2

0,380,2.91,4

1,500,3.6,3

0,520,2.98,2

0,600,3.32,2

0,600,3.48,2

0,700,3.28,1

1,660,4,2

0,700,3.83,2

1,720,3.64,1

0,800,3.9,2

0,580,2.93,2

1,660,3.44,2

0,660,3.33,2

0,640,3.52,4

0,480,3.57,2

0,700,2.88,2

0,400,3.31,3

0,340,3.15,3

0,580,3.57,3

0,380,3.33,4

0,540,3.94,3

1,660,3.95,2

1,740,2.97,2

1,700,3.56,1

0,480,3.13,2

0,400,2.93,3

0,480,3.45,2

0,680,3.08,4

0,420,3.41,4

0,360,3,3

0,600,3.22,1

0,720,3.84,3

0,620,3.99,3

1,440,3.45,2

0,700,3.72,2

1,800,3.7,1

0,340,2.92,3

1,520,3.74,2

1,480,2.67,2

0,520,2.85,3

0,500,2.98,3

0,720,3.88,3

0,540,3.38,4

1,600,3.54,1

0,740,3.74,4

0,540,3.19,2

0,460,3.15,4

1,620,3.17,2

0,640,2.79,2

0,580,3.4,2

0,500,3.08,3

0,560,2.95,2

0,500,3.57,3

0,560,3.33,4

0,700,4,3

0,620,3.4,2

1,600,3.58,1

0,640,3.93,2

1,700,3.52,4

0,620,3.94,4

0,580,3.4,3

0,580,3.4,4

0,380,3.43,3

0,480,3.4,2

0,560,2.71,3

1,480,2.91,1

0,740,3.31,1

1,800,3.74,1

0,400,3.38,2

1,640,3.94,2

0,580,3.46,3

0,620,3.69,3

1,580,2.86,4

0,560,2.52,2

1,480,3.58,1

0,660,3.49,2

0,700,3.82,3

0,600,3.13,2

0,640,3.5,2

1,700,3.56,2

0,520,2.73,2

0,580,3.3,2

0,700,4,1

0,440,3.24,4

0,720,3.77,3

0,500,4,3

0,600,3.62,3

0,400,3.51,3

0,540,2.81,3

0,680,3.48,3

1,800,3.43,2

0,500,3.53,4

1,620,3.37,2

0,520,2.62,2

1,620,3.23,3

0,620,3.33,3

0,300,3.01,3

0,620,3.78,3

0,500,3.88,4

0,700,4,2

1,540,3.84,2

0,500,2.79,4

0,800,3.6,2

0,560,3.61,3

0,580,2.88,2

0,560,3.07,2

0,500,3.35,2

1,640,2.94,2

0,800,3.54,3

0,640,3.76,3

0,380,3.59,4

1,600,3.47,2

0,560,3.59,2

0,660,3.07,3

1,400,3.23,4

0,600,3.63,3

0,580,3.77,4

0,800,3.31,3

1,580,3.2,2

1,700,4,1

0,420,3.92,4

1,600,3.89,1

1,780,3.8,3

0,740,3.54,1

1,640,3.63,1

0,540,3.16,3

0,580,3.5,2

0,740,3.34,4

0,580,3.02,2

0,460,2.87,2

0,640,3.38,3

1,600,3.56,2

1,660,2.91,3

0,340,2.9,1

1,460,3.64,1

0,460,2.98,1

1,560,3.59,2

0,540,3.28,3

0,680,3.99,3

1,480,3.02,1

0,800,3.47,3

0,800,2.9,2

1,720,3.5,3

0,620,3.58,2

0,540,3.02,4

0,480,3.43,2

1,720,3.42,2

0,580,3.29,4

0,600,3.28,3

0,380,3.38,2

0,420,2.67,3

1,800,3.53,1

0,620,3.05,2

1,660,3.49,2

0,480,4,2

0,500,2.86,4

0,700,3.45,3

0,440,2.76,2

1,520,3.81,1

1,680,2.96,3

0,620,3.22,2

0,540,3.04,1

0,800,3.91,3

0,680,3.34,2

0,440,3.17,2

0,680,3.64,3

0,640,3.73,3

0,660,3.31,4

0,620,3.21,4

1,520,4,2

1,540,3.55,4

1,740,3.52,4

0,640,3.35,3

1,520,3.3,2

1,620,3.95,3

0,520,3.51,2

0,640,3.81,2

0,680,3.11,2

0,440,3.15,2

1,520,3.19,3

1,620,3.95,3

1,520,3.9,3

0,380,3.34,3

0,560,3.24,4

1,600,3.64,3

1,680,3.46,2

0,500,2.81,3

1,640,3.95,2

0,540,3.33,3

1,680,3.67,2

0,660,3.32,1

0,520,3.12,2

1,600,2.98,2

0,460,3.77,3

1,580,3.58,1

1,680,3,4

1,660,3.14,2

0,660,3.94,2

0,360,3.27,3

0,660,3.45,4

0,520,3.1,4

1,440,3.39,2

0,600,3.31,4

1,800,3.22,1

1,660,3.7,4

0,800,3.15,4

0,420,2.26,4

1,620,3.45,2

0,800,2.78,2

0,680,3.7,2

0,800,3.97,1

0,480,2.55,1

0,520,3.25,3

0,560,3.16,1

0,460,3.07,2

0,540,3.5,2

0,720,3.4,3

0,640,3.3,2

1,660,3.6,3

1,400,3.15,2

1,680,3.98,2

0,220,2.83,3

0,580,3.46,4

1,540,3.17,1

0,580,3.51,2

0,540,3.13,2

0,440,2.98,3

0,560,4,3

0,660,3.67,2

0,660,3.77,3

1,520,3.65,4

0,540,3.46,4

1,300,2.84,2

1,340,3,2

1,780,3.63,4

1,480,3.71,4

0,540,3.28,1

0,460,3.14,3

0,460,3.58,2

0,500,3.01,4

0,420,2.69,2

0,520,2.7,3

0,680,3.9,1

0,680,3.31,2

1,560,3.48,2

0,580,3.34,2

0,500,2.93,4

0,740,4,3

0,660,3.59,3

0,420,2.96,1

0,560,3.43,3

1,460,3.64,3

1,620,3.71,1

0,520,3.15,3

0,620,3.09,4

0,540,3.2,1

1,660,3.47,3

0,500,3.23,4

1,560,2.65,3

0,500,3.95,4

0,580,3.06,2

0,520,3.35,3

0,500,3.03,3

0,600,3.35,2

0,580,3.8,2

0,400,3.36,2

0,620,2.85,2

1,780,4,2

0,620,3.43,3

1,580,3.12,3

0,700,3.52,2

1,540,3.78,2

1,760,2.81,1

0,700,3.27,2

0,720,3.31,1

1,560,3.69,3

0,720,3.94,3

1,520,4,1

1,540,3.49,1

0,680,3.14,2

0,460,3.44,2

1,560,3.36,1

0,480,2.78,3

0,460,2.93,3

0,620,3.63,3

0,580,4,1

0,800,3.89,2

1,540,3.77,2

1,680,3.76,3

1,680,2.42,1

1,620,3.37,1

0,560,3.78,2

0,560,3.49,4

0,620,3.63,2

1,800,4,2

0,640,3.12,3

0,540,2.7,2

0,700,3.65,2

1,540,3.49,2

0,540,3.51,2

0,660,4,1

1,480,2.62,2

0,420,3.02,1

1,740,3.86,2

0,580,3.36,2

0,640,3.17,2

0,640,3.51,2

1,800,3.05,2

1,660,3.88,2

1,600,3.38,3

1,620,3.75,2

1,460,3.99,3

0,620,4,2

0,560,3.04,3

0,460,2.63,2

0,700,3.65,2

0,600,3.89,3

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