質問編集履歴
3
saziさんの回答を参考に書いたコードの追記。
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event_date
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)
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```
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user_idはイベント毎に計測されるため、元データでは重複があります。
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user_idはイベント毎に計測されるため、元データでは重複があります。
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<↓saziさんの回答を自分なりに解釈して書いたコード(コピペだとエラーで、saziさんの書き方が高度でどう変えればいいかわかりませんでした。。。)>
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エラーはないのですが、dau、wau、mauの数字がほぼ同じになってしまいました。
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```standardsql
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with T as (
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select
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parse_date("%Y%m%d", event_date) event_date
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, user_id
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, event_name
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from
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`sample*`
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where(
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_TABLE_SUFFIX BETWEEN
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"20180707" AND
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FORMAT_DATE("%Y%m%d", DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY))
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)
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and
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app_info.install_source = 'iTunes'
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and
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date(TIMESTAMP_ADD(timestamp_micros(user_first_touch_timestamp), interval device.time_zone_offset_seconds SECOND)) > "2018-07-06"
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and
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user_id is not null
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limit 10000000
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)
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, dau as (
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select
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event_date
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,count(distinct(user_id)) as dau_count
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from
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T
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group by
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event_date
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)
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, wau as (
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select
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event_date
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,count(distinct(user_id)) as wau_count
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from
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T
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where
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event_date between t.event_date and date_add(t.event_date,interval 7 day)
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group by event_date
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)
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, mau as (
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select
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event_date
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,count(distinct(user_id)) as mau_count
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from
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T
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where
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event_date between t.event_date and date_add(t.event_date,interval 1 month)
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group by event_date
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)
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, before_formating as (
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select
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dau.event_date
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,dau_count
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,wau_count
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,mau_count
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from
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dau
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left join
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wau
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on
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dau.event_date = wau.event_date
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left join
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mau
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on
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dau.event_date = mau.event_date
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)
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select *
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from before_formating
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order by event_date asc
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```
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user_idの状態に関して追記
title
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body
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@@ -39,4 +39,5 @@
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group by
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event_date
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)
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-
```
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```
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user_idはイベント毎に計測されるため、元データでは重複があります。
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1
Tテーブルの追加
title
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File without changes
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body
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@@ -10,6 +10,26 @@
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何を使ってどう集計すればいいのでしょうか?
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ちなみにDAUは以下のように出しています。
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```standardsql
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with T as (
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select
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parse_date("%Y%m%d", event_date) event_date
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, user_id
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, event_name
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from
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`sample*`
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where(
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_TABLE_SUFFIX BETWEEN
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"20180707" AND
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FORMAT_DATE("%Y%m%d", DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY))
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)
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and
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app_info.install_source = 'iTunes'
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and
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date(TIMESTAMP_ADD(timestamp_micros(user_first_touch_timestamp), interval device.time_zone_offset_seconds SECOND)) > "2018-07-06"
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and
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user_id is not null
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)
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,dau as (
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select
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event_date
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