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Update app.py
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app.py
CHANGED
@@ -9,6 +9,9 @@ import matplotlib.font_manager as fm
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from scipy import stats
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import os
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# νκΈ ν°νΈ μ€μ
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def set_font():
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font_path = "Pretendard-Bold.ttf" # μ€μ ν°νΈ νμΌ κ²½λ‘λ‘ λ³κ²½ν΄μ£ΌμΈμ
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@@ -39,6 +42,18 @@ def manage_session_state():
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if 'filtered_data' not in st.session_state:
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st.session_state.filtered_data = None
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SAMPLE_DATA_FILES = [
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{"name": "κ³Όλͺ©λ³ λ
Έλ ₯κ³Ό μ±μ·¨λ", "file": "subject.xlsx"},
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@@ -204,23 +219,39 @@ def perform_analysis():
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# μ¬λΌμ΄μ μμ±
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create_slicers(st.session_state.processed_data)
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# μμ½ ν΅κ³
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st.write("μμ½ ν΅κ³:")
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st.write(st.session_state.filtered_data.describe())
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#
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st.
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y_var = st.selectbox("YμΆ λ³μ μ ν", options=[col for col in st.session_state.numeric_columns if col != x_var], key='y_var')
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def main():
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st.title("μΈν°λν°λΈ EDA ν΄ν·")
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@@ -246,41 +277,22 @@ def main():
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st.session_state.data = manual_data_entry()
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if st.session_state.data is not None:
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st.subheader("μ΄ μ΄λ¦ μμ ")
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st.write("μ΄ μ΄λ¦μ νμΈνκ³ νμν κ²½μ° μμ νμΈμ:")
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# μ΄ μ΄λ¦ νΈμ§μ μν λ°μ΄ν°νλ μ μμ±
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column_names = pd.DataFrame({'νμ¬ μ΄ μ΄λ¦': st.session_state.data.columns})
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edited_column_names = st.data_editor(
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column_names,
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num_rows="fixed",
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key="column_name_editor",
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column_config={
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"νμ¬ μ΄ μ΄λ¦": st.column_config.TextColumn(
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"μ΄ μ΄λ¦",
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help="μλ‘μ΄ μ΄ μ΄λ¦μ μ
λ ₯νμΈμ",
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max_chars=50
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)
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}
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)
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# μμ λ μ΄ μ΄λ¦ μ μ©
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st.session_state.data.columns = edited_column_names['νμ¬ μ΄ μ΄λ¦']
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st.subheader("λ°μ΄ν° 미리보기 λ° μμ ")
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st.write("λ°μ΄ν°λ₯Ό νμΈνκ³ νμν κ²½μ° μμ νμΈμ:")
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edited_data = st.data_editor(
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st.session_state.data,
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num_rows="dynamic",
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key="main_data_editor"
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)
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if st.button("λ°μ΄ν° λΆμ μμ", key="start_analysis") or st.session_state.analysis_performed:
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perform_analysis()
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if __name__ == "__main__":
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main()
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from scipy import stats
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import os
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#μ¬μ΄μ¦ ν¬κ²
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st.set_page_config(layout="wide")
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# νκΈ ν°νΈ μ€μ
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def set_font():
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font_path = "Pretendard-Bold.ttf" # μ€μ ν°νΈ νμΌ κ²½λ‘λ‘ λ³κ²½ν΄μ£ΌμΈμ
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if 'filtered_data' not in st.session_state:
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st.session_state.filtered_data = None
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def reset_session_state():
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# μΈμ
μν μ΄κΈ°ν
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st.session_state.data = None
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st.session_state.processed_data = None
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st.session_state.filtered_data = None
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st.session_state.numeric_columns = []
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st.session_state.categorical_columns = []
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st.session_state.x_var = None
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st.session_state.y_var = None
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st.session_state.slicers = {}
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st.session_state.analysis_performed = False
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SAMPLE_DATA_FILES = [
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{"name": "κ³Όλͺ©λ³ λ
Έλ ₯κ³Ό μ±μ·¨λ", "file": "subject.xlsx"},
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# μ¬λΌμ΄μ μμ±
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create_slicers(st.session_state.processed_data)
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# λ°μ΄ν°κ° λ³κ²½λ λλ§λ€ νν°λ§λ λ°μ΄ν° μ
λ°μ΄νΈ
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st.session_state.filtered_data = apply_slicers(st.session_state.processed_data)
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# 2μ΄ λ μ΄μμ μμ±
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col1, col2 = st.columns(2)
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with col1:
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# μμ½ ν΅κ³
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st.write("μμ½ ν΅κ³:")
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st.write(st.session_state.filtered_data.describe())
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# μκ΄κ΄κ³ ννΈλ§΅
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st.subheader("μκ΄κ΄κ³ ννΈλ§΅")
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plot_correlation_heatmap(st.session_state.filtered_data)
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with col2:
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# μ¬μ©μκ° μ νν λ λ³μμ λν μ°μ λ λ° νκ· λΆμ
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st.subheader("λ λ³μ κ°μ κ΄κ³ λΆμ")
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x_var = st.selectbox("XμΆ λ³μ μ ν", options=st.session_state.numeric_columns, key='x_var')
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y_var = st.selectbox("YμΆ λ³μ μ ν", options=[col for col in st.session_state.numeric_columns if col != x_var], key='y_var')
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if x_var and y_var:
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plot_scatter_with_regression(st.session_state.filtered_data, x_var, y_var)
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# 'λ€λ₯Έ λ°μ΄ν° λΆμνκΈ°' λ²νΌ μΆκ°
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if st.button("λ€λ₯Έ λ°μ΄ν° λΆμνκΈ°"):
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reset_session_state()
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st.experimental_rerun()
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def main():
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st.title("μΈν°λν°λΈ EDA ν΄ν·")
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st.session_state.data = manual_data_entry()
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if st.session_state.data is not None:
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st.subheader("λ°μ΄ν° 미리보기 λ° μμ ")
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st.write("λ°μ΄ν°λ₯Ό νμΈνκ³ νμν κ²½μ° μμ νμΈμ:")
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edited_data = st.data_editor(
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st.session_state.data,
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num_rows="dynamic",
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key="main_data_editor"
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)
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if st.button("λ°μ΄ν° λΆμ μμ", key="start_analysis") or st.session_state.analysis_performed:
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st.session_state.processed_data = preprocess_data(edited_data)
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st.session_state.analysis_performed = True
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if st.session_state.analysis_performed:
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perform_analysis()
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if __name__ == "__main__":
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main()
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