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基本统计

简单 09-aggregate 整表聚合 aggregatecountmeanmaxmin

对整张商品表做一次汇总,输出一行统计:

  • n:商品总数,即表的行数,价格缺失的商品也算在内。
  • avg_price:价格的平均值,忽略价格为 null 的商品。
  • max_price、min_price:价格的最大值和最小值,同样忽略 null。

输入

  • products(product_id, name, category, price, cost, launched_on):price 可能为 null

输出

恰好一行,列为 n, avg_price, max_price, min_price。

输入表 (case base,共 2 个 case:base、nulls)

products shop/products
#product_idint64namestringcategorystringpricefloat64costfloat64launched_ondate
1 1 Wireless Mouse Electronics 25.0 16.77 2025-05-07
2 2 USB-C Hub Electronics 49.9 34.17 2025-07-27
3 3 Bluetooth Speaker Electronics 89.0 61.47 2025-02-10
4 4 Mechanical Keyboard Electronics 199.0 105.48 2024-09-19
5 5 4K Monitor Electronics 500.0 282.38 2024-07-10
6 6 Noise-cancel Headphones Electronics 299.0 211.57 2025-01-14
7 7 Python Cookbook Books 59.0 30.08 2025-09-15
8 8 SQL Pocket Guide Books 39.9 22.14 2025-01-20
9 9 数据分析实战 Books 79.0 40.83 2024-12-15
10 10 Clean Code Books 50.0 28.48 2025-03-13
11 11 统计学习方法 Books 99.0 70.22 2025-03-13
12 12 Desk Lamp Home 45.0 24.99 2025-11-04
13 13 Ceramic Mug Home 19.9 11.34 2025-12-02
14 14 Throw Pillow Home 35.0 19.23 2024-06-29
15 15 Wall Clock Home 99.0 47.98 2025-02-23
16 16 Storage Box Home 29.9 15.06 2025-02-27
17 17 Puzzle 1000pc Toys 129.0 59.53 2025-08-19
18 18 Building Blocks Toys 199.0 110.19 2025-04-18
19 19 RC Car Toys 359.0 208.55 2025-11-06
20 20 Plush Panda Toys 89.0 43.14 2026-01-12
显示前 20 行,共 30 行

期望输出 (case base,行顺序不限)

#nInt64avg_priceFloat64max_priceFloat64min_priceFloat64
1 30 134.6633333 699.0 12.5
共 1 行