Update app.py

app.py

@@ -1,26 +1,43 @@
 import streamlit as st
+import pandas as pd
+import plotly.express as px
 
 def load_data():
-    # Load data into a pandas DataFrame
-    df = pd.read_csv("tax_data.csv")
-    
-    # Perform any necessary data processing and cleaning
-    df = df.dropna()
-    df["compliance"] = df["compliance"].astype(int)
-    
+    df = pd.DataFrame({
+        "tax_type": ["Income Tax", "Sales Tax", "Property Tax", "Corporate Tax", "Value Added Tax (VAT)",
+                     "Income Tax", "Sales Tax", "Property Tax", "Corporate Tax", "Value Added Tax (VAT)"],
+        "compliance": [0.75, 0.82, 0.60, 0.70, 0.65,
+                       0.79, 0.75, 0.66, 0.72, 0.68]
+    })
     return df
 
 
-def main():
+def compliance_analysis(tax_type):
     df = load_data()
     
-    st.header("Tax Compliance Analysis")
-    st.subheader("Data Overview")
+    compliance_rate = df[df["tax_type"] == tax_type]["compliance"].mean()
+    compliance_rate = round(compliance_rate * 100, 2)
+    
+    df = df.groupby("tax_type").mean().reset_index()
+    df = df.sort_values("compliance", ascending=False)
     
-    st.write("Number of records: ", df.shape[0])
-    st.write("Number of compliant records: ", df[df["compliance"] == 1].shape[0])
-    st.write("Number of non-compliant records: ", df[df["compliance"] == 0].shape[0])
+    fig = px.bar(df, x="compliance", y="tax_type", color="tax_type", orientation="h",
+                 title="Average Compliance Rate for Tax Types",
+                 labels={"compliance": "Compliance Rate (%)", "tax_type": "Tax Type"})
     
-    st.subheader("Compliance by Tax Type")
-    st.bar_chart(df.groupby("tax_type")["compliance"].mean())
+    fig.update_xaxes(ticktext=[str(round(v * 100, 2)) + "%" for v in df["compliance"]],
+                     tickvals=df["compliance"] * 100)
+    fig.update_layout(shapes=[
+        dict(type='line', x0=compliance_rate, x1=compliance_rate, y0=0, y1=1, yref='paper',
+             line=dict(color='red', dash='dash')),
+        dict(type='text', x=compliance_rate, y=1.1, yref='paper',
+             text=f"{tax_type} ({compliance_rate}%)", textangle=0, font=dict(color='red', size=12))
+    ])
+    
+    return fig
+
+tax_types = ["Income Tax", "Sales Tax", "Property Tax", "Corporate Tax", "Value Added Tax (VAT)"]
+selected_tax_type = st.selectbox("Select a tax type:", tax_types, index=0)
+
+st.plotly_chart(compliance_analysis(selected_tax_type))