{"id":145332,"date":"2025-06-18T11:04:02","date_gmt":"2025-06-18T05:34:02","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=145332"},"modified":"2025-06-18T11:04:02","modified_gmt":"2025-06-18T05:34:02","slug":"sales-data-analytics-using-python","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/sales-data-analytics-using-python\/","title":{"rendered":"Python Project &#8211; Sales Data Analytics"},"content":{"rendered":"<h3>Program 1<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\">import mysql.connector\r\nfrom tabulate import tabulate\r\n\r\n# Database connection\r\ndef connect_db():\r\n    return mysql.connector.connect(\r\n        host=\"localhost\",\r\n        user=\"root\",\r\n        password=\"root\",\r\n        database=\"sales_db\"\r\n    )\r\n\r\n# 1. View Total Revenue\r\ndef view_total_revenue(conn):\r\n    cursor = conn.cursor()\r\n    query = \"\"\"\r\n        SELECT SUM(p.price * s.quantity) AS total_revenue\r\n        FROM sales s\r\n        JOIN products p ON s.product_id = p.product_id\r\n    \"\"\"\r\n    cursor.execute(query)\r\n    result = cursor.fetchone()\r\n    print(\"\\nTotal Revenue: \u20b9\", result[0] if result[0] else 0)\r\n\r\n# 2. View Top Selling Products\r\ndef top_selling_products(conn):\r\n    cursor = conn.cursor()\r\n    query = \"\"\"\r\n        SELECT p.product_name, SUM(s.quantity) AS total_sold\r\n        FROM sales s\r\n        JOIN products p ON s.product_id = p.product_id\r\n        GROUP BY p.product_name\r\n        ORDER BY total_sold DESC\r\n        LIMIT 5\r\n    \"\"\"\r\n    cursor.execute(query)\r\n    rows = cursor.fetchall()\r\n    print(\"\\nTop Selling Products:\")\r\n    print(tabulate(rows, headers=[\"Product Name\", \"Total Sold\"], tablefmt=\"pretty\"))\r\n\r\n# 3. View Monthly Sales Report\r\ndef monthly_sales_report(conn):\r\n    cursor = conn.cursor()\r\n    query = \"\"\"\r\n        SELECT DATE_FORMAT(sale_date, '%Y-%m') AS month, SUM(p.price * s.quantity) AS revenue\r\n        FROM sales s\r\n        JOIN products p ON s.product_id = p.product_id\r\n        GROUP BY month\r\n        ORDER BY month\r\n    \"\"\"\r\n    cursor.execute(query)\r\n    rows = cursor.fetchall()\r\n    print(\"\\nMonthly Sales Report:\")\r\n    print(tabulate(rows, headers=[\"Month\", \"Revenue\"], tablefmt=\"pretty\"))\r\n\r\n# 4. City-wise Customer Count\r\ndef city_wise_customer_count(conn):\r\n    cursor = conn.cursor()\r\n    query = \"\"\"\r\n        SELECT city, COUNT(*) AS customer_count\r\n        FROM customers\r\n        GROUP BY city\r\n        ORDER BY customer_count DESC\r\n    \"\"\"\r\n    cursor.execute(query)\r\n    rows = cursor.fetchall()\r\n    print(\"\\nCity-wise Customer Count:\")\r\n    print(tabulate(rows, headers=[\"City\", \"Customer Count\"], tablefmt=\"pretty\"))\r\n\r\n# 5. Add New Customer\r\ndef add_new_customer(conn):\r\n    cursor = conn.cursor()\r\n    print(\"\\nEnter Customer Details:\")\r\n    customer_id = int(input(\"Customer ID: \"))\r\n    name = input(\"Name: \")\r\n    email = input(\"Email: \")\r\n    city = input(\"City: \")\r\n    registration_date = input(\"Registration Date (YYYY-MM-DD): \")\r\n\r\n    query = \"\"\"\r\n        INSERT INTO customers (customer_id, name, email, city, registration_date)\r\n        VALUES (%s, %s, %s, %s, %s)\r\n    \"\"\"\r\n    cursor.execute(query, (customer_id, name, email, city, registration_date))\r\n    conn.commit()\r\n    print(\"Customer added successfully!\")\r\n\r\n# 6. Add New Product\r\ndef add_new_product(conn):\r\n    cursor = conn.cursor()\r\n    print(\"\\nEnter Product Details:\")\r\n    product_id = int(input(\"Product ID: \"))\r\n    product_name = input(\"Product Name: \")\r\n    category = input(\"Category: \")\r\n    price = float(input(\"Price: \"))\r\n\r\n    query = \"\"\"\r\n        INSERT INTO products (product_id, product_name, category, price)\r\n        VALUES (%s, %s, %s, %s)\r\n    \"\"\"\r\n    cursor.execute(query, (product_id, product_name, category, price))\r\n    conn.commit()\r\n    print(\"Product added successfully!\")\r\n\r\n# 7. Add New Sale\r\ndef add_new_sale(conn):\r\n    cursor = conn.cursor()\r\n    print(\"\\nEnter Sale Details:\")\r\n    sale_id = int(input(\"Sale ID: \"))\r\n    customer_id = int(input(\"Customer ID: \"))\r\n    product_id = int(input(\"Product ID: \"))\r\n    quantity = int(input(\"Quantity: \"))\r\n    sale_date = input(\"Sale Date (YYYY-MM-DD): \")\r\n\r\n    query = \"\"\"\r\n        INSERT INTO sales (sale_id, customer_id, product_id, quantity, sale_date)\r\n        VALUES (%s, %s, %s, %s, %s)\r\n    \"\"\"\r\n    cursor.execute(query, (sale_id, customer_id, product_id, quantity, sale_date))\r\n    conn.commit()\r\n    print(\"Sale record added successfully!\")\r\n\r\n# Main menu\r\ndef main():\r\n    conn = connect_db()\r\n    while True:\r\n        print(\"\\n------ Sales Data Analytics Menu ------\")\r\n        print(\"1. View Total Revenue\")\r\n        print(\"2. View Top Selling Products\")\r\n        print(\"3. View Monthly Sales Report\")\r\n        print(\"4. View City-wise Customer Count\")\r\n        print(\"5. Add New Customer\")\r\n        print(\"6. Add New Product\")\r\n        print(\"7. Add New Sale\")\r\n        print(\"8. Exit\")\r\n        print(\"----------------------------------------------\")\r\n        choice = input(\"Enter your choice (1-8): \")\r\n\r\n        if choice == '1':\r\n            view_total_revenue(conn)\r\n        elif choice == '2':\r\n            top_selling_products(conn)\r\n        elif choice == '3':\r\n            monthly_sales_report(conn)\r\n        elif choice == '4':\r\n            city_wise_customer_count(conn)\r\n        elif choice == '5':\r\n            add_new_customer(conn)\r\n        elif choice == '6':\r\n            add_new_product(conn)\r\n        elif choice == '7':\r\n            add_new_sale(conn)\r\n        elif choice == '8':\r\n            print(\"********Exiting the program. Thank you!*******\")\r\n            break\r\n        else:\r\n            print(\"xxxxx  Invalid choice. Please try again. xxxxx\")\r\n\r\n    conn.close()\r\n\r\n# Main Calling\r\n\r\nmain()<\/pre>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 import mysql.connector from tabulate import tabulate # Database connection def connect_db(): return mysql.connector.connect( host=&#8221;localhost&#8221;, user=&#8221;root&#8221;, password=&#8221;root&#8221;, database=&#8221;sales_db&#8221; ) # 1. View Total Revenue def view_total_revenue(conn): cursor = conn.cursor() query = &#8220;&#8221;&#8221; SELECT&#46;&#46;&#46;<\/p>\n","protected":false},"author":581,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[10333,28626,22366,34435,21082,34432,34434,34433,34431],"class_list":["post-145332","post","type-post","status-publish","format-standard","hentry","category-python","tag-python","tag-python-practical","tag-python-program","tag-python-program-on-sales-data-analytics","tag-python-project","tag-python-sales-data-analytics-project","tag-sales-data-analytics","tag-sales-data-analytics-project","tag-sales-data-analytics-using-python"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Python Project - Sales Data Analytics - DataFlair<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/sales-data-analytics-using-python\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python Project - Sales Data Analytics - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 import mysql.connector from tabulate import tabulate # Database connection def connect_db(): return mysql.connector.connect( host=&quot;localhost&quot;, user=&quot;root&quot;, password=&quot;root&quot;, database=&quot;sales_db&quot; ) # 1. 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