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app.py

@@ -34,28 +34,30 @@ def app():
     st.sidebar.metric("Repeat Customers", repeat_customers)
 
     plots = [
-        {"title": "Top-Selling Pizzas (by Quantity)", "x": "pizza_name", "y": "quantity", "top": 5},
-        {"title": "Revenue by Pizza Category", "x": "pizza_category", "y": "total_price", "hue": "pizza_size"},
-        {"title": "Peak Order Times (by Hour)", "x": "order_time", "y": "quantity", "agg": "value_counts", "extract_hour": True},
-        {"title": "Monthly Revenue", "x": "order_month", "y": "total_price"}
+        {"title": "Top Selling Pizzas (by Quantity)", "x": "pizza_name", "y": "quantity", "top": 5},
+        {"title": "Quantity of Pizzas Sold by Category and Time of the Day", "x": "time_of_day", "hue": "pizza_category"},
+        {"title": "Quantity of Pizzas Sold by Size and Time of the Day", "x": "time_of_day", "hue": "pizza_size"},
+        {"title": "Monthly Revenue Trends by Pizza Category", "x": "order_month", "y": "total_price", "hue": "pizza_category", "estimator": "sum", "marker": "o"},
     ]
 
     for plot in plots:
         st.header(plot["title"])
-        if "agg" in plot:
-            data = getattr(df[plot["x"]], plot["agg"])().sort_values(ascending=False)
-        else:
-            data = df.groupby(plot["x"])[plot["y"]].sum().sort_values(ascending=False)
-        if "top" in plot:
-            data = data.head(plot["top"])
+        
         fig, ax = plt.subplots()
-        if plot["title"] == "Revenue by Pizza Category":
-          sns.barplot(x=plot["x"], y=plot["y"], hue=plot["hue"], data=data, ax=ax)
-        ax.bar(data.index, data.values)
+        
+        if "top" in plot["title"]:
+          data = df.groupby(plot["x"]).quantity.sum().reset_index().sort_values(by="quantity", ascending=False).head()
+          sns.countplot(x=plot["x"], data=data, ax=ax)
+        
+        if "Quantity" in plot["title"]:
+          sns.countplot(x=plot["x"], hue=plot["hue"], data=df, ax=ax)
+        
+        if "Revenue" in plot["title"]:
+          sns.lineplot(x=plot["x"], y=plot["y"], hue=plot["hue"], data=df, estimator=plot["estimator"], marker=plot["marker"], ax=ax)
+
         ax.set_xlabel(plot["x"].capitalize())
         ax.set_ylabel(plot["y"].capitalize())
-        if plot["title"] == "Monthly Revenue":
-            ax.set_xlabel("Month")
+        
         st.pyplot(fig)