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app.py

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+import streamlit as st
+import pandas as pd
+import matplotlib.pyplot as plt
+
+st.set_page_config(
+    page_title="Daftar Nilai Assesmen 1",
+    page_icon="chart_with_upwards_trend",
+    layout="wide",
+)
+
+@st.cache_data
+def load_data():
+    df = pd.read_csv("Kombinasi.csv")
+    df["First name"] = df["First name"].astype("string")
+    df["Grade/100.00 (Simulasi)"] = df["Grade/100.00 (Simulasi)"].astype(float)
+    df["Grade/100.00 (Ujian 1)"] = df["Grade/100.00 (Ujian 1)"].astype(float)
+    df["Persentase Ujian 1 (15%)"] = (df["Grade/100.00 (Ujian 1)"].astype(float) * 0.15).round(2)
+    return df
+
+df = load_data()
+
+def cari_npm(npm):
+    df_cari = df[df["First name"] == npm]
+    return df_cari
+
+def susun_data(data_npm):
+    columns_to_display = ["Surname", "First name",  "Grade/100.00 (Ujian 1)", "Persentase Ujian 1 (15%)"]
+    st.table(data_npm[columns_to_display])
+
+colors = ['red', 'green', 'blue']
+
+st.title("Grafik Batang Nilai Ujian Assesmen 1 Seluruh Mahasiswa")
+kolom1, kolom2, kolom3 = st.columns(3)
+
+with kolom1:
+    grades = df["Grade/100.00 (Ujian 1)"]
+    count_below_50 = (grades < 50).sum()
+    count_50_to_68 = ((grades >= 50) & (grades <= 68)).sum()
+    count_above_68 = (grades > 68).sum()
+
+    data = {
+        'Category': ['Below 50', '50 - 68', 'Above 68'],
+        'Count': [count_below_50, count_50_to_68, count_above_68]
+    }
+    df_counts = pd.DataFrame(data)
+    st.write("Ujian 1")    
+    plt.clf()  # Clear the current figure
+    time.sleep(0.2)
+    plt.bar(df_counts['Category'], df_counts['Count'], color=colors)
+    plt.xlabel('Rentang')
+    plt.ylabel('Jumlah Mahasiswa')
+    st.pyplot(plt)
+
+with kolom2:
+    st.write("Ujian 2")
+
+with kolom3:
+    st.write("Ujian Final")
+
+st.sidebar.info("Masukkan NPM Lengkap!")
+st.title("Nilai Per Mahasiswa")
+npm = st.sidebar.text_input("NPM")
+if st.sidebar.button(label="Cari"):
+    data_npm = cari_npm(npm)
+    susun_data(data_npm)

requirements.txt

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+altair==5.0.1
+attrs==23.1.0
+blinker==1.6.2
+cachetools==5.3.1
+certifi==2023.5.7
+charset-normalizer==3.1.0
+click==8.1.3
+colorama==0.4.6
+contourpy==1.0.7
+cycler==0.11.0
+decorator==5.1.1
+fonttools==4.39.4
+gitdb==4.0.10
+GitPython==3.1.31
+idna==3.4
+importlib-metadata==6.6.0
+Jinja2==3.1.2
+jsonschema==4.17.3
+kiwisolver==1.4.4
+markdown-it-py==2.2.0
+MarkupSafe==2.1.3
+matplotlib==3.7.1
+mdurl==0.1.2
+numpy==1.24.3
+packaging==23.1
+pandas==2.0.2
+Pillow==9.5.0
+protobuf==4.23.2
+pyarrow==12.0.0
+pydeck==0.8.1b0
+Pygments==2.15.1
+Pympler==1.0.1
+pyparsing==3.0.9
+pyrsistent==0.19.3
+python-dateutil==2.8.2
+pytz==2023.3
+pytz-deprecation-shim==0.1.0.post0
+requests==2.31.0
+rich==13.4.1
+six==1.16.0
+smmap==5.0.0
+streamlit==1.23.1
+tenacity==8.2.2
+toml==0.10.2
+toolz==0.12.0
+tornado==6.3.2
+typing_extensions==4.6.3
+tzdata==2023.3
+tzlocal==4.3
+urllib3==2.0.2
+validators==0.20.0
+watchdog==3.0.0
+zipp==3.15.0