Commit ·
fc5c2b4
1
Parent(s): fb6e625
fix wrong spaces
Browse files- src/eda.py +2 -2
src/eda.py
CHANGED
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@@ -83,7 +83,7 @@ def run():
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X12-X17(BILL_AMT1 - BILL_AMT6): Amount of bill statement (NT dollar). X12 = amount of bill statement in September, 2005; X13 = amount of bill statement in August, 2005; . . .; X17 = amount of bill statement in April, 2005. \n
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X18-X23(PAY_AMT1-PAY_AMT6): Amount of previous payment (NT dollar). X18 = amount paid in September, 2005; X19 = amount paid in August, 2005; . . .;X23 = amount paid in April, 2005 \n
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""")
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st.write("=======================================================================================================================================")
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st.write("due to the same type and content from column PAY_0 to PAY_6, we will be using PAY_0 only as the sample for exploratory")
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@@ -91,7 +91,7 @@ def run():
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for column in categorical_columns:
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st.write(f"""
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st.write("=======================================================================================================================================")
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column: {column} \n
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unique values = {data[column].unique()}
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""")
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X12-X17(BILL_AMT1 - BILL_AMT6): Amount of bill statement (NT dollar). X12 = amount of bill statement in September, 2005; X13 = amount of bill statement in August, 2005; . . .; X17 = amount of bill statement in April, 2005. \n
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X18-X23(PAY_AMT1-PAY_AMT6): Amount of previous payment (NT dollar). X18 = amount paid in September, 2005; X19 = amount paid in August, 2005; . . .;X23 = amount paid in April, 2005 \n
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""")
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+
st.write("======================================================================================================================================= \n")
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st.write("due to the same type and content from column PAY_0 to PAY_6, we will be using PAY_0 only as the sample for exploratory")
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for column in categorical_columns:
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st.write(f"""
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+
st.write("======================================================================================================================================= \n")
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column: {column} \n
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unique values = {data[column].unique()}
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""")
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