I'm creating visualization for App download count, the app removes count and user registration counts from firebase console data for the last two weeks. It gives us the total count of the selected period but we need date wise count for each. For that, we plan to get the data count using a big query. how do we get all metrics by writing a single query?
We will get all the metrics using single query has below
SELECT event_date,count(*),platform,event_name FROM `apple-XYZ.analytics_XXXXXX.events_*` where
(event_name = "app_remove" or event_name = "first_open" or event_name = "Registration_Success") and
(event_date between "20200419" and "20200502") and (stream_id = "XYZ" or stream_id = "ZYX") and
(platform = "ANDROID" or platform = "IOS") group by platform, event_date, event_name order by event_date;
Result: for two weeks (From 19-04-2020 to 02-04-2020)
Related
My engagement time shown in Firebase analytics, under Engagement -> Pages and Screens -> Page Title and Screen Name differs from that which is returned by the following BigQuery query.
SELECT
(SELECT value.string_value FROM UNNEST(event_params) WHERE key="firebase_screen") AS screen,
AVG((SELECT value.int_value FROM UNNEST(event_params) WHERE key="engagement_time_msec")) AS avg_engagement_time,
FROM
`ABC.events_20210923`
GROUP BY screen
ORDER BY avg_engagement_time DESC
However the numbers shown in Firebase Analytics are completely different from the numbers returned by the query. The descending order in which they are shown is about 65% right. Is this a completely different metric or is my query just wrong?
Hello wonderful person!
I've followed this guide to import google ads campaign info to a BigQuery database.
My goal is to create a simple query that can be stored as a view and accessed from Data Studio to make a report. But some fields like AverageCpm are always set to 0.
I also have a data studio report made using google ads as source for reference and I can access all the campaigns from the google ads platform.
Here is the query I'm working on:
SELECT
c.ExternalCustomerId,
c.CampaignName as name,
c.CampaignStatus,
cs.date as dia,
SUM(cs.Impressions) AS Impressions,
SUM(cs.Interactions) AS Interactions,
AVG(cs.AverageCpm) AS CPM,
SUM(cs.Cost) AS Cost
FROM
`<DB>.google_ads.Campaign_<ACCOUNT_ID>` c
LEFT JOIN
`<DB>.google_ads.CampaignStats_<ACCOUNT_ID>` cs
ON
(c.CampaignId = cs.CampaignId
AND cs._DATA_DATE BETWEEN
DATE_ADD(CURRENT_DATE(), INTERVAL -80 DAY) AND DATE_ADD(CURRENT_DATE(), INTERVAL -1 DAY))
WHERE
c._DATA_DATE = c._LATEST_DATE
and c.CampaignName = 'THE_NAME_OF_MY_CAMPAIGN'
GROUP BY
1, 2, 3 , 4
ORDER BY
CampaignName, dia
The field Impressions, returns with a value that is consistent with my reference datastudio report and the info I see in google ads stats, so I feel I'm in the right track.
My problem is that some fields like CampaignStats.AverageCpm , CampaignStats.Cost are always 0.
For example, the query:
Select * from `<DB>.google_ads.p_CampaignStats_<ACCOUNT_ID>` where AverageCpm >0;
Returns with no results.
I'm thinking permission problems? But I have administrator access to all the company's accounts.
Database is backfilled correctly.
I've tried generating a new dataset: Same problem and I don't see if there is a way to configure how google makes the imports.
What else could it be? What else can I do?
Thank you very very much!
Answer by Roman Petrochenkov, check his youtube channel he is the best.
AVG(cs.AverageCpm) AS CPM, Is not correct
Since average of averages is not average of the total.
You need to calculate CPM manually as SUM(Impressions)/SUM(NULLIF(Cost, 0)) as CPM
Although, I would recommend against calculating it in the BQ and would recommend to calculate int in the BI (data studio in this case).
I developed a words game (using firebase as my backend) with levels and coins.
Now, I'm facing some difficulties while trying to query my DB, so that it will output a table with all levels in the game and average user coins for each level. For example :
Level Avg User Coins
0 50
1 12
2 2
Attached is a picture of my events table:
So as you can see, there is an event of 'level_end', then we can see the 'user coins' and 'level_num'. What is the right way to do that?
This is what I managed to do so far, obviously the wrong way :
SELECT event_name,user_id
FROM `words-game-en.analytics_208527783.events_20191004`,
UNNEST(event_params) as event_param
WHERE event_name = "level_end"
AND event_param.key = "user_coins"
You seem to want something like this:
SELECT event_param.level_num, AVG(event_param.user_coins)
FROM `words-game-en.analytics_208527783.events_20191004` CROSS JOIN
UNNEST(event_params) as event_param
WHERE event_name = 'level_end' AND event_param.key = 'user_coins'
GROUP BY level_num
ORDER BY level_num;
I'm a little confused by what is in event_params and what is directly in events, so you might need to properly qualify the column references.
Imagine you have this two tables.
a) streamers: it contains time series data, at a 1-min granularity, of all the channels that broadcast on
Twitch. The columns of the table are:
username: Channel username
timestamp: Epoch timestamp, in seconds, corresponding to the moment the data was captured
game: Name of the game that the user was playing at that time
viewers: Number of concurrent viewers that the user had at that time
followers: Number of total followers that the channel had at that time
b) games_metadata: it contains information of all the games that have ever been broadcasted on Twitch.
The columns of the table are:
game: Name of the game
release_date: Timestamp, in seconds, corresponding to the date when the game was released
publisher: Publisher of the game
genre: Genre of the game
Now I want the Top 10 publishers that have been watched the most during the first quarter of 2019. The output should contain publisher and hours_watched.
The problem is I don't have any database, I created one and inputted some values by hand.
I thought of this query, but I'm not sure if it is what I want. It may be right (I don't feel like it is ), but I'd like a second opinion
SELECT publisher,
(cast(strftime('%m', "timestamp") as integer) + 2) / 3 as quarter,
COUNT((strftime('%M',`timestamp`)/(60*1.0)) * viewers) as total_hours_watch
FROM streamers AS A INNER JOIN games_metadata AS B ON A.game = B.game
WHERE quarter = 3
GROUP BY publisher,quarter
ORDER BY total_hours_watch DESC
Looks about right to me. You don't need to include quarter in the GROUP BY since the where clause limits you to only one quarter. You can modify the query to get only the top 10 publishers in a couple of ways depending on the SQL server you've created.
For SQL Server / MS Access modify your select statement: SELECT TOP 10 publisher, ...
For MySQL add a limit clause at the end of your query: ... LIMIT 10;
I'm new to BigQuery and have limited experience with SQL, but have been making a few queries successfully.
One complicated one which I am a bit stuck on is breaking down the number of screen views by a user's region.
My SQL query looks like this
SELECT
geo.region, COUNT(params.value.string_value) as count
FROM
`xxx`,
UNNEST(event_params) as params
WHERE
geo.country = "Australia" AND geo.region > "" AND event_name = "screen_view" AND params.key = "firebase_screen"
GROUP BY
geo.region
ORDER BY
count DESC
I get some output which is quite a significant amount less than what the Firebase console reports for total screen views in Australia.
Row region count
1 Victoria 25613
2 South Australia 3557
...
Is there something wrong with my query?