題目 Table: Users +----------------+---------+ | Column Name | Type | +----------------+---------+ | user_id | int | | join_date | date | | favorite_brand | varchar | +----------------+---------+ user_id is the primary key of this table. This table has the info of the users of an online shopping website where users can sell and buy items. Table: Orders +---------------+---------+ | Column Name | Type | +---------------+---------+ | order_id | int...

題目 Table: Players +-------------+-------+ | Column Name | Type | +-------------+-------+ | player_id | int | | group_id | int | +-------------+-------+ player_id is the primary key of this table. Each row of this table indicates the group of each player. Table: Matches +---------------+---------+ | Column Name | Type | +---------------+---------+ | match_id | int | | first_player | int | | second_player | int | | first_score |...

題目 Table: Product +---------------+---------+ | Column Name | Type | +---------------+---------+ | product_id | int | | product_name | varchar | +---------------+---------+ product_id is the primary key for this table. product_name is the name of the product. Table: Sales +---------------------+---------+ | Column Name | Type | +---------------------+---------+ | product_id | int | | period_start | date | | period_end | date | | average_daily_sales | int | +---------------------+---------+ product_id...

題目 Table: Orders +---------------+---------+ | Column Name | Type | +---------------+---------+ | order_id | int | | customer_id | int | | order_date | date | | item_id | varchar | | quantity | int | +---------------+---------+ (ordered_id, item_id) is the primary key for this table. This table contains information on the orders placed. order_date is the date item_id was ordered by the customer with id customer_id. Table: Items...

題目 Table: Calls +--------------+----------+ | Column Name | Type | +--------------+----------+ | caller_id | int | | recipient_id | int | | call_time | datetime | +--------------+----------+ (caller_id, recipient_id, call_time) is the primary key for this table. Each row contains information about the time of a phone call between caller_id and recipient_id. Write an SQL query to report the IDs of the users whose first and last calls on...

題目 Table: Candidates +-------------+------+ | Column Name | Type | +-------------+------+ | employee_id | int | | experience | enum | | salary | int | +-------------+------+ employee_id is the primary key column for this table. experience is an enum with one of the values ('Senior', 'Junior'). Each row of this table indicates the id of a candidate, their monthly salary, and their experience. A company wants to hire...

題目 Table: Buses +--------------+------+ | Column Name | Type | +--------------+------+ | bus_id | int | | arrival_time | int | | capacity | int | +--------------+------+ bus_id is the primary key column for this table. Each row of this table contains information about the arrival time of a bus at the LeetCode station and its capacity (the number of empty seats it has). No two buses will arrive...

題目 Table: Products +-------------+---------+ | Column Name | Type | +-------------+---------+ | product_id | int | | store | varchar | | price | int | +-------------+---------+ (product_id, store) is the primary key for this table. Each row of this table indicates the price of product_id in store. There will be at most 30 different stores in the table. price is the price of the product at this store....

在最後給出的結論如下 在前 6% 的首次訪問者中，超過 6% 的人會在後續訪問時產生購買行為 整體而言，只有 0.7% 的首次訪問者，會在後續訪問時產生購買行為 瞄準前 6% 的第一次訪問者名單，會使營銷投資回報率提高 9 倍 因此，若是能夠在得到模型預測的結果後，依據營銷策略進行即時的投放處理，包含但不限於: EDM廣告、Coupon折價券或是限定綑綁折扣等等，建構起一個自動化營銷的方法；這也是一種 Data Driven 的方法。

顯而易見，討論出一個有共識、覺得可行的方式將問題進行轉化，這就屬於洞察(Insights)；而被提出的問題本身，則是被發現的異常(Anomaly)。原文最後提出「具有評分等級的使用者清單」則是貢獻(Contribute)。 有趣的是，當營銷人員依據清單進行預算投放後，便又能獲取新一輪的結果，這個結果除了可供驗證，同時也具備發現新異常的可能性。