Added: Stuff

assets/Student_list.csv

@@ -1,36 +1,38 @@
-First Name,Last Name,Sex,Group,Grader,Tutorial 1,Tutorial 2,Extended Applications,Numpy & MatPlotLib,SciPy,Monte Carlo,Pandas & Seaborn,Folium,Statistical Test Methods,Data Analysis
-Abdalaziz,Abunjaila,Male,DiKum,30%,30.5,15,18,28,17,17,17,22,0,18
-Marleen,Adolphi,Female,MeWi6,30%,29.5,15,18,32,19,20,17,24,23,0
-Sarina,Apel,Female,MeWi1,30%,28.5,15,18,32,20,20,21,24,20,23
-Skofiare,Berisha,Female,DiKum,30%,29.5,13,18,34,20,17,20,26,16,0
-Aurela,Brahimi,Female,MeWi2,30%,17.5,15,15.5,26,16,17,19,16,0,0
-Cam Thu,Do,Female,MeWi3,30%,31,15,18,34,19,20,21.5,22,12,0
-Nova,Eib,Female,MeWi4,30%,31,15,15,34,20,20,21,27,19,21
-Lena,Fricke,Female,MeWi4,30%,0,0,0,0,0,0,0,0,0,0
-Nele,Grundke,Female,MeWi6,30%,23.5,13,16,28,20,17,21,18,22,11
-Anna,Grünewald,Female,MeWi3,30%,12,14,16,29,16,15,19,9,0,0
-Yannik,Haupt,Male,NoGroup,30%,18,6,14,21,13,2,9,0,0,0
-Janna,Heiny,Female,MeWi1,30%,30,15,18,33,18,20,22,25,24,30
-Milena,Krieger,Female,MeWi1,30%,30,15,18,33,20,20,21.5,26,20,22
-Julia,Limbach,Female,MeWi6,30%,27.5,12,18,29,11,19,17.5,26,24,28
-Viktoria,Litza,Female,MeWi5,30%,21.5,15,18,27,13,20,22,21,21,30
-Leonie,Manthey,Female,MeWi1,30%,28.5,14,18,29,20,10,18,23,16,28
-Izabel,Mike,Female,MeWi2,30%,29.5,15,15,35,11,15,19,21,21,27
-Lea,Noglik,Female,MeWi5,30%,22.5,15,17,34,13,10,20,21,19,6
-Donika,Nuhiu,Female,MeWi5,30%,31,13.5,18,35,14,10,17,18,19,8
-Julia,Renner,Female,MeWi4,30%,27.5,10,14,32,20,17,11,20,24,14
-Fabian,Rothberger,Male,MeWi3,30%,30.5,15,18,34,17,17,19,22,18,30
-Natascha,Rott,Female,MeWi1,30%,29.5,12,18,32,19,20,21,26,23,26
-Isabel,Rudolf,Female,MeWi4,30%,27.5,9,17,34,16,19,19,21,16,14
-Melina,Sablotny,Female,MeWi6,30%,31,15,18,33,20,20,21,19,11,28
-Alea,Schleier,Female,DiKum,30%,27,14,18,34,16,18,21.5,22,15,22
-Flemming,Schur,Male,MeWi3,30%,29.5,15,17,34,19,20,19,22,18,27
-Marie,Seeger,Female,DiKum,30%,27.5,15,18,32,14,9,17,22,9,25
-Lucy,Thiele,Female,MeWi6,30%,27.5,15,18,27,20,17,19,18,22,25
-Lara,Troschke,Female,MeWi2,30%,28.5,14,17,28,13,19,21,25,12,24
-Inga-Brit,Turschner,Female,MeWi2,30%,25.5,14,18,34,20,16,19,22,17,30
-Alea,Unger,Female,MeWi5,30%,30,12,18,31,20,20,21,22,15,21.5
-Marie,Wallbaum,Female,MeWi5,30%,28.5,14,18,34,17,20,19,24,12,22
-Katharina,Walz,Female,MeWi4,30%,31,15,18,31,19,19,17,24,17,14.5
-Xiaowei,Wang,Male,NoGroup,30%,30.5,14,18,26,19,17,0,0,0,0
-Lilly-Lu,Warnken,Female,DiKum,30%,30,15,18,30,14,17,19,14,16,24
+First Name,Last Name,Sex,Group,Grader,Study,Tutorial 1,Tutorial 2,Extended Applications,Numpy & MatPlotLib,SciPy,Monte Carlo,Pandas & Seaborn,Folium,Statistical Test Methods,Data Analysis
+Abdalaziz,Abunjaila,Male,DiKum,30%,Digitale Kommunikation & Medientechnik,30.5,15,18,28,17,17,17,22,0,18
+Marleen,Adolphi,Female,MeWi6,30%,Digitale Kommunikation & Medientechnik,29.5,15,18,32,19,20,17,24,23,0
+Sarina,Apel,Female,MeWi1,30%,Medienwissenschaften,28.5,15,18,32,20,20,21,24,20,23
+Skofiare,Berisha,Female,DiKum,30%,Medienwissenschaften,29.5,13,18,34,20,17,20,26,16,10
+Aurela,Brahimi,Female,MeWi2,30%,Medienwissenschaften,17.5,15,15.5,26,16,17,19,16,16,16
+Cam Thu,Do,Female,MeWi3,30%,Medienwissenschaften,31,15,18,34,19,20,21.5,22,12,15
+Nova,Eib,Female,MeWi4,30%,Medienwissenschaften,31,15,15,34,20,20,21,27,19,21
+Lena,Fricke,Female,MeWi4,30%,Medienwissenschaften,13,14,15,21,15,17,17,18,19,11
+Nele,Grundke,Female,MeWi6,30%,Medienwissenschaften,23.5,13,16,28,20,17,21,18,22,11
+Anna,Grünewald,Female,MeWi3,30%,Medienwissenschaften,12,14,16,29,16,15,19,9,16,12
+Yannik,Haupt,Male,NoGroup,30%,Unknown,18,6,14,21,13,2,9,0,0,0
+Janna,Heiny,Female,MeWi1,30%,Technologie Orientiertes Managment,30,15,18,33,18,20,22,25,24,30
+Milena,Krieger,Female,MeWi1,30%,Technologie Orientiertes Managment,30,15,18,33,20,20,21.5,26,20,22
+Julia,Limbach,Female,MeWi6,30%,Medienwissenschaften,27.5,12,18,29,11,19,17.5,26,24,28
+Viktoria,Litza,Female,MeWi5,30%,Medienwissenschaften,21.5,15,18,27,13,20,22,21,21,30
+Leonie,Manthey,Female,MeWi1,30%,Medienwissenschaften,28.5,14,18,29,20,10,18,23,16,28
+Izabel,Mike,Female,MeWi2,30%,Medienwissenschaften,29.5,15,15,35,11,15,19,21,21,27
+Lea,Noglik,Female,MeWi5,30%,Medienwissenschaften,22.5,15,17,34,13,10,20,21,19,6
+Donika,Nuhiu,Female,MeWi5,30%,Medienwissenschaften,31,13.5,18,35,14,10,17,18,19,8
+Julia,Renner,Female,MeWi4,30%,Medienwissenschaften,27.5,10,14,32,20,17,11,20,24,14
+Fabian,Rothberger,Male,MeWi3,30%,Medienwissenschaften,30.5,15,18,34,17,17,19,22,18,30
+Natascha,Rott,Female,MeWi1,30%,Medienwissenschaften,29.5,12,18,32,19,20,21,26,23,26
+Isabel,Rudolf,Female,MeWi4,30%,Medienwissenschaften,27.5,9,17,34,16,19,19,21,16,14
+Melina,Sablotny,Female,MeWi6,30%,Medienwissenschaften,31,15,18,33,20,20,21,19,11,28
+Alea,Schleier,Female,DiKum,30%,Medienwissenschaften,27,14,18,34,16,18,21.5,22,15,22
+Flemming,Schur,Male,MeWi3,30%,Medienwissenschaften,29.5,15,17,34,19,20,19,22,18,27
+Marie,Seeger,Female,DiKum,30%,Medienwissenschaften,27.5,15,18,32,14,9,17,22,9,25
+Lucy,Thiele,Female,MeWi6,30%,Medienwissenschaften,27.5,15,18,27,20,17,19,18,22,25
+Lara,Troschke,Female,MeWi2,30%,Medienwissenschaften,28.5,14,17,28,13,19,21,25,12,24
+Inga-Brit,Turschner,Female,MeWi2,30%,Medienwissenschaften,25.5,14,18,34,20,16,19,22,17,30
+Alea,Unger,Female,MeWi5,30%,Medienwissenschaften,30,12,18,31,20,20,21,22,15,21.5
+Marie,Wallbaum,Female,MeWi5,30%,Medienwissenschaften,28.5,14,18,34,17,20,19,24,12,22
+Katharina,Walz,Female,MeWi4,30%,Medienwissenschaften,31,15,18,31,19,19,17,24,17,14.5
+Xiaowei,Wang,Male,NoGroup,30%,Unknown,30.5,14,18,26,19,17,0,0,0,0
+Lilly-Lu,Warnken,Female,DiKum,30%,Medienwissenschaften,30,15,18,30,14,17,19,14,16,24
+,,,,,,,,,,,,,,,
+

assets/convert.py

@@ -44,19 +44,24 @@ for k, v in courses.items():
     #print(l.title, l.points, l.class_id, l.id)
 
 for k, v in groups.items():
-    Group.create(name=k, project=v, has_passed=True, class_id=clas.id)
+    Group.create(name=k, project=v, has_passed=True if k != 'NoGroup' else False, class_id=clas.id)
 
 for index, row in df.iterrows():
+
+    study, _ = Study.get_or_create(name=row['Study'])
+
+
     s = Student.create(
         prename=row["First Name"],
         surname=row["Last Name"],
         sex=row["Sex"],
+        study_id=study.id,
         class_id=clas.id,
         group_id=Group.select().where(Group.name == row["Group"]),
         grader=row["Grader"],
     )
     
-    for title, points in list(row.to_dict().items())[5:]:
+    for title, points in list(row.to_dict().items())[6:]:
         Submission.create(
             student_id=s.id,
             lecture_id=Lecture.select().where(Lecture.title == title),

assets/learnlytics.svg

@@ -0,0 +1,29 @@
+<svg
+    width="300" height="150" viewBox="0 0 300 150"
+    xmlns="http://www.w3.org/2000/svg"
+    fill="none" stroke-linecap="round" stroke-linejoin="round"
+>
+    <!-- Background Grid -->
+    <rect width="100%" height="100%" fill="#0D1B2A" />
+
+    <!-- Bar Chart -->
+    <rect x="50" y="90" width="30" height="30" fill="#2EC4B6" />
+    <rect x="90" y="60" width="30" height="60" fill="#2EC4B6" />
+    <rect x="130" y="80" width="30" height="40" fill="#2EC4B6" />
+    <rect x="170" y="40" width="30" height="80" fill="#2EC4B6" />
+    <rect x="210" y="75" width="30" height="45" fill="#2EC4B6" />
+    <rect x="250" y="30" width="30" height="90" fill="#2EC4B6" />
+
+    <!-- Analytics Chart - Dynamic Graph Lines -->
+    <polyline points="50,110 90,70 130,100 170,50 210,90 250,40" stroke="#F4A261" stroke-width="6" stroke-dasharray="8 4" />
+    <circle cx="50" cy="110" r="5" fill="#F4A261" />
+    <circle cx="90" cy="70" r="5" fill="#F4A261" />
+    <circle cx="130" cy="100" r="5" fill="#F4A261" />
+    <circle cx="170" cy="50" r="5" fill="#F4A261" />
+    <circle cx="210" cy="90" r="5" fill="#F4A261" />
+    <circle cx="250" cy="40" r="5" fill="#F4A261" />
+  
+    <!-- Text: Learnlytics -->
+    <text x="100" y="140" fill="#E0E1DD" font-family="Arial, sans-serif" font-size="20" font-weight="bold">Learnlytics</text>
+</svg>
+