Update app.py
Browse files
app.py
CHANGED
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@@ -14,7 +14,7 @@ def app():
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st.title("Pizza Sales Data Analysis Dashboard")
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df = load_data()
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total_orders = df['order_id'].
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total_revenue = df['total_price'].sum() #function which can sum the column
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most_popular_size = df['pizza_size'].value_counts().idxmax() #function which can get the maximum value
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most_frequent_category = df['pizza_category'].value_counts().idxmax() #function which can count of value of each product
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@@ -25,6 +25,7 @@ def app():
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st.sidebar.metric("Most Popular Size", most_popular_size)
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st.sidebar.metric("Most Popular Category", most_frequent_category)
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st.sidebar.metric("Total Pizzas Sold", total_pizzas_sold)
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plots = [
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{"title": "Top Selling Pizzas (by Quantity)", "x": "pizza_name", "y": "quantity", "top": 5}, #Write the appropriiate column as per the title given
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{"title": "Quantity of Pizzas Sold by Category and Time of the Day", "x": "order_time", "hue": "pizza_category"}, #Write the appropriiate column as per the title given
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st.title("Pizza Sales Data Analysis Dashboard")
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df = load_data()
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total_orders = df['order_id'].value_counts() #function which can calculate the number of unique values
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total_revenue = df['total_price'].sum() #function which can sum the column
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most_popular_size = df['pizza_size'].value_counts().idxmax() #function which can get the maximum value
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most_frequent_category = df['pizza_category'].value_counts().idxmax() #function which can count of value of each product
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st.sidebar.metric("Most Popular Size", most_popular_size)
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st.sidebar.metric("Most Popular Category", most_frequent_category)
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st.sidebar.metric("Total Pizzas Sold", total_pizzas_sold)
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st.sidebar.metric("Total Orders", total_orders)
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plots = [
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{"title": "Top Selling Pizzas (by Quantity)", "x": "pizza_name", "y": "quantity", "top": 5}, #Write the appropriiate column as per the title given
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{"title": "Quantity of Pizzas Sold by Category and Time of the Day", "x": "order_time", "hue": "pizza_category"}, #Write the appropriiate column as per the title given
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