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README.md

@@ -1,12 +1,2 @@
----
-license: apache-2.0
-title: Student System
-sdk: streamlit
-sdk_version: 1.24.0
-emoji: 📚
-colorFrom: green
-colorTo: red
-app_file: main.py
----
 # Analyze-and-predict-student-performance
-Link to web-app: https://itdsiu19001-analyze-and-predict-student-performance-main-oiibq6.streamlit.app/
+Link to web-app: https://itdsiu19001-analyze-and-predict-student-performance-main-oiibq6.streamlit.app/

main.py

@@ -84,7 +84,7 @@ with col1:
 
 with col2:
     st.markdown(
-        "<h1 style='text-align: center;'>TRUONG QUOC AN'S THESIS</h1>",
+        "<h1 style='text-align: center;'>Student Performance Evaluation</h1>",
         unsafe_allow_html=True,
     )
 
@@ -144,7 +144,7 @@ def score_table_for_student():
 
 st.sidebar.image(im3)
 st.sidebar.title("Student Performance Prediction System")
-option = ["Dashboard","Prediction Performance",  "Grade Distribution Tables"]
+option = ["Prediction Performance","Dashboard",  "Grade Distribution Tables"]
 
 tabs = st.sidebar.selectbox("Select an option", option)
 
@@ -360,7 +360,7 @@ if tabs == "Dashboard":
         )
 
         fig.update_layout(
-            title="Frequency Range for {}".format(course),
+            title="Histogram of {}".format(course),
             xaxis_title="Score",
             yaxis_title="Percentage",
             height=400,
@@ -465,7 +465,7 @@ if tabs == "Dashboard":
             )
 
             fig.update_layout(
-                title="Frequency Range for {}".format(course),
+                title="Histogram of {}".format(course),
                 xaxis_title="Score",
                 yaxis_title="Percentage",
                 height=400,
@@ -537,7 +537,7 @@ elif tabs == "Prediction Performance":
 
     clear_resources()
 
-    raw_data = pd.read_csv("All_major.csv")
+    raw_data = score_table_for_student()
     raw_data["DTBTKH4"] = raw_data["DTBTK"]/25
     df=raw_data.copy()
     df["MaSV_school"] = df["MaSV"].str.slice(2, 4)
@@ -825,7 +825,7 @@ elif tabs == "Grade Distribution Tables":
                     )
 
                     fig.update_layout(
-                        title="Frequency Range",
+                        title="Histogram of {}".format(course),
                         xaxis_title="Score",
                         yaxis_title="Percentage",
                         height=400,

requirements.txt

@@ -1,10 +1,86 @@
-numpy
-Cython==0.29.21
+alembic==1.11.1
+altair==5.0.1
+async-generator==1.10
+attrs==23.1.0
+blinker==1.6.2
+cachetools==5.3.1
+cdsdashboards==0.6.3
+certifi==2023.5.7
+certipy==0.1.3
+cffi==1.15.1
+charset-normalizer==3.1.0
+click==8.1.3
+colorama==0.4.6
+cryptography==41.0.1
+decorator==5.1.1
+filelock==3.12.2
+ftfy==6.1.1
+gitdb==4.0.10
+GitPython==3.1.31
+greenlet==2.0.2
+idna==3.4
+importlib-metadata==6.6.0
+Jinja2==3.1.2
+joblib==1.2.0
+jsonschema==4.17.3
+jupyter-telemetry==0.1.0
+jupyterhub==4.0.1
+Mako==1.2.4
+markdown-it-py==3.0.0
+MarkupSafe==2.1.3
+mdurl==0.1.2
+mpmath==1.3.0
+networkx==3.1
+numpy==1.24.3
+oauthlib==3.2.2
+packaging==23.1
+pandas==2.0.2
+pi==0.1.2
+Pillow==9.5.0
+plotly==5.15.0
+pluggy==1.2.0
+prometheus-client==0.17.0
+protobuf==4.23.3
+psutil==5.9.5
+pyarrow==12.0.1
+pycparser==2.21
+pydeck==0.8.1b0
+pyforest==1.1.0
+Pygments==2.15.1
+Pympler==1.0.1
+pyOpenSSL==23.2.0
+pyrsistent==0.19.3
+python-dateutil==2.8.2
+python-json-logger==2.0.7
+pytz==2023.3
+pytz-deprecation-shim==0.1.0.post0
+regex==2023.6.3
+requests==2.31.0
+rich==13.4.2
+ruamel.yaml==0.17.32
+ruamel.yaml.clib==0.2.7
 scikit-learn==1.2.2
-pandas
-plotly
-scipy
-pyDOE
-openpyxl
-matplotlib
-joblib==1.2.0
+scipy==1.11.0
+six==1.16.0
+smmap==5.0.0
+SQLAlchemy==2.0.17
+streamlit==1.24.1
+sympy==1.12
+tenacity==8.2.2
+threadpoolctl==3.1.0
+toml==0.10.2
+toolz==0.12.0
+torch==2.0.1
+torchvision==0.15.2
+tornado==6.3.2
+tqdm==4.65.0
+traitlets==5.9.0
+typing_extensions==4.6.3
+tzdata==2023.3
+tzlocal==4.3
+urllib3==2.0.3
+validators==0.20.0
+virtualbox==2.1.1
+watchdog==3.0.0
+wcwidth==0.2.6
+zipp==3.15.0