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hayeonkimmie

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BigQuery(SQL) 활용편(퍼널 분석, 리텐션 분석)

[빠짝스터디 1주차 과제] ARRAY, STRUCT / PIVOT / 퍼널 쿼리 연습 문제

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ARRAY, STRUCT 연습문제

 

1)

SELECT
  title,
  genre
FROM advanced.array_exercises
CROSS JOIN UNNEST(genres) AS genre 

 

2)

SELECT
  title,
  actors,
  actors[SAFE_OFFSET(0)].actor AS frist_actor, 
  actors[SAFE_OFFSET(0)].character AS first_character,
  actors[SAFE_OFFSET(1)].actor AS second_actor,
  actors[SAFE_OFFSET(1)].character AS second_character
FROM advanced.array_exercises AS ae

 

3)

SELECT
  title,
  actor.actor,
  actor.character
FROM advanced.array_exercises AS ae
CROSS JOIN UNNEST(actors) AS actor

 

4)

SELECT
  event_Date,
  event_timestamp,
  event_name,
  event_params,
  user_id,
  event_param.key AS key,
  event_param.value AS value,
  event_param.value.string_value AS string_value,
  event_param.value.int_value AS int_value
FROM advanced.app_logs_temp
CROSS JOIN UNNEST(event_params) AS event_param
WHERE event_date = '2022-08-01'


PIVOT 연습문제

1)

SELECT
    order_date,
    SUM(IF(user_id = 1, sum_of_amount, 0)) AS user_1,
    SUM(IF(user_id = 2, sum_of_amount, 0)) AS user_2,
    SUM(IF(user_id = 3, sum_of_amount, 0)) AS user_3,   
FROM (
  SELECT 
    order_date,
    user_id,
    SUM(amount) AS sum_of_amount
  FROM  advanced.orders
  GROUP BY order_date, user_id
  ORDER BY order_date)
GROUP BY order_date


2)

SELECT 
    user_id,
    SUM(IF(order_date = '2023-05-01', sum_of_amount, 0)) AS `2023-05-01`,
    SUM(IF(order_date = '2023-05-02', sum_of_amount, 0)) AS `2023-05-02`,
    SUM(IF(order_date = '2023-05-03', sum_of_amount, 0)) AS `2023-05-03`,
    SUM(IF(order_date = '2023-05-04', sum_of_amount, 0)) AS `2023-05-04`,
    SUM(IF(order_date = '2023-05-05', sum_of_amount, 0)) AS `2023-05-05`
FROM (
  SELECT 
      user_id,
      order_date,
      SUM(amount) AS sum_of_amount
  FROM advanced.orders
  GROUP BY user_id,order_date)
GROUP BY user_id


3)

SELECT 
  user_id, 
  MAX(IF(order_date = '2023-05-01' AND user_id IS NOT NULL, 1, 0)) AS `2023-05-01`,
  MAX(IF(order_date = '2023-05-02' AND user_id IS NOT NULL, 1, 0)) AS `2023-05-02`,
  MAX(IF(order_date = '2023-05-03' AND user_id IS NOT NULL, 1, 0)) AS `2023-05-03`,
  MAX(IF(order_date = '2023-05-04' AND user_id IS NOT NULL, 1, 0)) AS `2023-05-04`,
  MAX(IF(order_date = '2023-05-05' AND user_id IS NOT NULL, 1, 0)) AS `2023-05-05`
FROM advanced.orders 
GROUP BY user_id


4)

SELECT 
    event_date,
    event_timestamp,
    event_name,
    user_id,
    user_pseudo_id,
    MAX(IF(param.key = 'firebase_screen',  param.value.string_value, NULL)) AS firebase_screen,
    MAX(IF(param.key = 'food_id',  param.value.string_value, NULL)) AS food_id, 
    MAX(IF(param.key = 'food_id',  param.value.int_value, NULL)) AS food_id2,
    MAX(IF(param.key = 'session_id',  param.value.string_value, NULL)) AS session_id
FROM advanced.app_logs_temp
CROSS JOIN UNNEST(event_params) AS param
WHERE event_date = '2022-08-01'
GROUP BY ALL 

 

퍼널분석

WITH Funnel AS (SELECT 
    event_date,
    event_timestamp,
    event_name,
    user_id,
    user_pseudo_id,
    MAX(IF(param.key = 'firebase_screen',  param.value.string_value, NULL)) AS firebase_screen,
    MAX(IF(param.key = 'food_id',  param.value.string_value, NULL)) AS food_id, 
    MAX(IF(param.key = 'food_id',  param.value.int_value, NULL)) AS food_id2,
    MAX(IF(param.key = 'session_id',  param.value.string_value, NULL)) AS session_id
FROM advanced.app_logs_temp
CROSS JOIN UNNEST(event_params) AS param
WHERE event_date = '2022-08-01'
GROUP BY ALL )

SELECT 
  event_date,
  COUNT(user_id) AS user_cnt
FROM Funnel
WHERE
  event_name = 'click_cart'
GROUP BY event_date;

 

답변 1

0

안녕하세요, 인프런 AI 인턴입니다. hayeonkimmie님.

현재 제공된 쿼리 내용을 기반으로 ARRAY, STRUCT, PIVOT 그리고 퍼널 쿼리에 대한 연습 문제들을 진행하신 것을 확인했습니다. 각각의 문제들이 다소 복잡할 수 있으나, 이러한 연습은 BigQuery와 SQL에 대한 이해를 높이는 데 매우 유익합니다.

다음은 비슷한 질문과 답변으로 학습을 향상시킬 수 있는 링크들입니다:

  1. ARRAY 및 STRUCT 사용법 관련 연습 문제

  2. PIVOT 및 퍼널 분석 쿼리 작성하기

  3. 퍼널 분석을 위한 SQL 쿼리 작성

각 링크는 해당 주제와 관련된 세부 정보를 제공하며, 이를 통해 더 깊이 있는 이해와 문제 해결 방법을 배워보실 수 있습니다.

저는 질문자님의 이해를 돕고자 지식공유자님의 기존 답변을 참고하여 유사한 답변 링크를 추천해드리고 있습니다. 현재 베타 기능으로 답변이 만족스럽지 않을 수 있는 점 양해 부탁드립니다. 🙏 추가적으로 궁금한 점이 있으시면, 이어서 질문해 주세요. 곧 지식공유자께서 답변해 주실 것입니다.

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