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sql - 如何按月和年对数据进行分组

问题描述

在我进入这个问题之前，这里有一个 2 秒的背景：我一直在做这个 RFM 分析，感谢我们的同行，终于能够为我的数据集中的每个 customer_id 输出一个 RFM 分数，以及他们的每个个人 R、F 和 M 分数。在这里，如果您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)

这是一张图片： 在此处输入图片描述

现在，我的问题是我需要保持这种格式的输出，但也要按月份和年份对数据进行分组。我最初按 customer_id 对这些数据进行分组，因为我希望 RFM 和个人分数仅按唯一 customer_id 显示，但现在我需要按月 + 年和 customer_id 显示（即第一列是 2018 年 1 月，然后列出所有该月/年组合的唯一 customer_id 行。然后是 2018 年 2 月，依此类推）。有人有什么建议吗？

非常感谢，如果您有任何问题，请告诉我！！

最好的，Z

标签： sqlgroup-byamazon-redshifttableau-apiaginity

解决方案

如果您想按year-monthand分组customer_id，请按此顺序更改您的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)

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