Merge pull request #24 from PeaceAntoHim/staging

Staging

public/assets/SEM6/DS/TK1/TK-1.py

@@ -0,0 +1,41 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+# Data provided
+data = {
+    'JENIS KELAMIN': ['LAKI - LAKI', 'LAKI - LAKI', 'PEREMPUAN', 'PEREMPUAN', 'LAKI - LAKI', 'LAKI - LAKI', 'PEREMPUAN', 'PEREMPUAN', 'LAKI - LAKI', 'PEREMPUAN', 'PEREMPUAN', 'PEREMPUAN', 'LAKI - LAKI', 'LAKI - LAKI', 'LAKI - LAKI'],
+    'STATUS MAHASISWA': ['MAHASISWA', 'BEKERJA', 'MAHASISWA', 'MAHASISWA', 'BEKERJA', 'BEKERJA', 'BEKERJA', 'BEKERJA', 'BEKERJA', 'MAHASISWA', 'MAHASISWA', 'MAHASISWA', 'BEKERJA', 'MAHASISWA', 'MAHASISWA'],
+    'STATUS PERNIKAHAN': ['BELUM', 'BELUM', 'BELUM', 'MENIKAH', 'MENIKAH', 'MENIKAH', 'MENIKAH', 'BELUM', 'BELUM', 'MENIKAH', 'BELUM', 'BELUM', 'MENIKAH', 'MENIKAH', 'BELUM'],
+    'IPK SEMESTER 1-6': [3.17, 3.30, 3.01, 3.25, 3.20, 2.50, 3.00, 2.70, 2.40, 2.50, 2.50, 3.50, 3.30, 3.25, 2.30],
+    'STATUS KELULUSAN': ['TEPAT', 'TEPAT', 'TEPAT', 'TEPAT', 'TEPAT', 'TERLAMBAT', 'TERLAMBAT', 'TERLAMBAT', 'TERLAMBAT', 'TERLAMBAT', 'TERLAMBAT', 'TEPAT', 'TEPAT', 'TEPAT', 'TERLAMBAT']
+}
+
+# Create a DataFrame
+df = pd.DataFrame(data)
+
+# Visualization (a): Relationship between gender and graduation status
+plt.figure(figsize=(8, 6))
+sns.countplot(data=df, x='JENIS KELAMIN', hue='STATUS KELULUSAN', palette='coolwarm')
+plt.title('Relationship between Gender and Graduation Status')
+plt.xlabel('Gender')
+plt.ylabel('Count')
+plt.legend(title='Graduation Status')
+plt.show()
+
+# Visualization (b): Relationship between student status and GPA
+plt.figure(figsize=(8, 6))
+sns.boxplot(data=df, x='STATUS MAHASISWA', y='IPK SEMESTER 1-6', palette='viridis')
+plt.title('Relationship between Student Status and GPA')
+plt.xlabel('Student Status')
+plt.ylabel('GPA (Semester 1-6)')
+plt.show()
+
+# Visualization (c): Trends in on-time graduation by student status
+plt.figure(figsize=(8, 6))
+sns.countplot(data=df, x='STATUS MAHASISWA', hue='STATUS KELULUSAN', palette='Set2')
+plt.title('On-time Graduation Trends by Student Status')
+plt.xlabel('Student Status')
+plt.ylabel('Count')
+plt.legend(title='Graduation Status')
+plt.show()