如何按月份和年份對數據進行分組

Question

在我進入這個問題之前，這里有一個 2 秒的背景：我一直在研究這個 RFM 分析，感謝我們的同行，終於能夠為我的數據集中的每個 customer_id 輸出一個 RFM 分數，以及他們的每個個人 R、F 和 M 分數。 在這里，如果您很好奇或想自己使用它：

SELECT *,
    SUBSTRING(rfm_combined,1,1) AS recency_score,
    SUBSTRING(rfm_combined,2,1) AS frequency_score,
    SUBSTRING(rfm_combined,3,1) AS monetary_score
FROM (

SELECT
    customer_id,
    rfm_recency*100 + rfm_frequency*10 + rfm_monetary AS rfm_combined
FROM
    (SELECT
    customer_id,
    ntile(5) over (order by last_order_date) AS rfm_recency,
    ntile(5) over (order by count_order) AS rfm_frequency,
    ntile(5) over (order by total_spent) AS rfm_monetary
FROM
    (SELECT
    customer_id,
    MAX(oms_order_date) AS last_order_date,
    COUNT(*) AS count_order,
    SUM(quantity_ordered * unit_price_amount) AS total_spent
FROM 
    l_dmw_order_report
WHERE
    order_type NOT IN ('Sales Return', 'Sales Price Adjustment')
    AND item_description_1 NOT IN ('freight', 'FREIGHT', 'Freight')
    AND line_status NOT IN ('CANCELLED', 'HOLD')
    AND oms_order_date BETWEEN '2018-01-01' AND '2018-12-31'

GROUP BY customer_id))

ORDER BY customer_id desc)

這是一張圖片：在此處輸入圖片說明

現在，我的問題是我需要保持這種格式的輸出，但也要按月份和年份對數據進行分組。 我最初按 customer_id 對這些數據進行了分組，因為我希望 RFM 和個人分數僅按唯一的 customer_id 顯示，但現在我需要按月 + 年和 customer_id（即第一列是 2018 年 1 月，然后列出所有該月/年組合的唯一 customer_id 行。然后是 2018 年 2 月，依此類推）。 有人有什么建議嗎？

非常感謝，如果您有任何問題，請告訴我！！

最好的，Z

Answer 1

如果您想按year-month和customer_id分組，請GROUP BY順序更改您的GROUP BY ：

SELECT *,
    SUBSTRING(rfm_combined,1,1) AS recency_score,
    SUBSTRING(rfm_combined,2,1) AS frequency_score,
    SUBSTRING(rfm_combined,3,1) AS monetary_score
FROM (

SELECT
    YearMonth,
    customer_id,
    rfm_recency*100 + rfm_frequency*10 + rfm_monetary AS rfm_combined
FROM
    (SELECT
    YearMonth,
    customer_id,
    ntile(5) over (order by last_order_date) AS rfm_recency,
    ntile(5) over (order by count_order) AS rfm_frequency,
    ntile(5) over (order by total_spent) AS rfm_monetary
FROM
    (SELECT
    to_char(oms_order_date, 'YYYY-MM') AS YearMonth,
    customer_id,
    MAX(oms_order_date) AS last_order_date,
    COUNT(*) AS count_order,
    SUM(quantity_ordered * unit_price_amount) AS total_spent
FROM 
    l_dmw_order_report
WHERE
    order_type NOT IN ('Sales Return', 'Sales Price Adjustment')
    AND item_description_1 NOT IN ('freight', 'FREIGHT', 'Freight')
    AND line_status NOT IN ('CANCELLED', 'HOLD')
    AND oms_order_date BETWEEN '2018-01-01' AND '2018-12-31'

GROUP BY to_char(oms_order_date, 'YYYY-MM'), customer_id))
ORDER BY YearMonth, customer_id desc)

Answer 2

根據安東尼奧的要求：

SELECT *,
    SUBSTRING(rfm_combined,1,1) AS recency_score,
    SUBSTRING(rfm_combined,2,1) AS frequency_score,
    SUBSTRING(rfm_combined,3,1) AS monetary_score
FROM (

SELECT
    to_char(oms_order_date, 'YYYY-MM'),
    customer_id,
    rfm_recency*100 + rfm_frequency*10 + rfm_monetary AS rfm_combined
FROM
    (SELECT
    customer_id,
    ntile(5) over (order by last_order_date) AS rfm_recency,
    ntile(5) over (order by count_order) AS rfm_frequency,
    ntile(5) over (order by total_spent) AS rfm_monetary
FROM
    (SELECT
    customer_id,
    MAX(oms_order_date) AS last_order_date,
    COUNT(*) AS count_order,
    SUM(quantity_ordered * unit_price_amount) AS total_spent
FROM 
    l_dmw_order_report
WHERE
    order_type NOT IN ('Sales Return', 'Sales Price Adjustment')
    AND item_description_1 NOT IN ('freight', 'FREIGHT', 'Freight')
    AND line_status NOT IN ('CANCELLED', 'HOLD')
    AND oms_order_date BETWEEN '2018-01-01' AND '2018-12-31'

GROUP BY to_char(oms_order_date, 'YYYY-MM'), customer_id))

ORDER BY customer_id desc)

LIMIT 100

錯誤說明：“42703：derive_table2 中不存在列“oms_order_date”

我知道事實上這是該表中的一列。 確認使用：SELECT oms_order_date FROM l_dmw_order_report