I am currently trying to calculate the retention rate (percentage of customers that returned to a webpage) of 3 days for in a entire table within the span of 14 days. To do so, I am trying to count the total user (visitorId) of whom returned to the page between specific dates, then I would average them together in order to have the the average retention rate for the 14 days. Currently I am using this code but it does not seem to work.
SELECT
pageviews.pageType,
pageviews.pageviewDate,
sessions.sessionDate,
sessions.deviceType,
sessions.visitorId
AVG(COUNT(sessions.visitor > 1 BETWEEN sessions.sessionDate '2018-04-26' AND '2018-04-29')
# There would be multiple of these dates
FROM sessions
INNER JOIN pageviews
ON sessions.visitorId = pageviews.visitorId AND
pageviews.pageviewDate = sessions.sessionDate
WHERE
pageviews.pageType = 'Game' AND sessions.deviceType = 'Desktop';
To be more specific, the desired result would be to have a single number that states the average number of customers that returned to a specific page (in this case, Game) that used Desktops. Can anyone help? Please let me know if more clarification is needed. Note, for simplicity, I did not add all the date that I would calculate the retention rate as it would be many.
Related
Given the table showed in the picture, I want to calculate the number of users who have dates far in more than one day. Basically the problem is to calculate the number of regular visitors.
For example: The user adrian# have 3 timestamps, 2 of them in the same day and the other one 2 days after, so this user came back. Instead, the user david# only have 2 timestamps (in the same day), that means this user didn't come back. Any ideas?
You can use the following query:
SELECT usuario_email
FROM users
GROUP BY usuario_email
HAVING COUNT(DISTINCT DATE(fecha)) > 1
The above will select users having visited your site in 2 or more different dates, hence it will select only adrian# based on your sample data.
Demo here
I am developing a php/mysql database.
I have a table called ‘actions’ which (amongst others) contains fields hrs, mins, actiondate, invoiceid and staffid.
For any particular actiondate there could be any number of actions carried out by various staff who would enter their time as hrs and mins.
What I need to do is produce a table which for each date and for a specific member of staff and invoice, adds up all of the hrs and mins for each date as a decimal, rounds it up to the nearest quarter and displays that result. I also need to be able to add up all of those results and display that total.
For example, if on March 1st, person with staffid=23 had carried out 4 actions for invoiced 121 lasting, 1h2m, 23m, 10m and 20m the total for that day would be 62+23+10+20 = 115m = 115/60 = 1.92 which would be rounded up to 2.00.
I can get each day’s total (maybe not very elegantly) and display it against the date using the code below
SELECT actions.`actiondate`,
(FORMAT((((CEIL((((60*SUM(hrs))+SUM(mins))/60)*4))/4)),2)) AS dayfeeqtr
FROM actions
WHERE staff.staffid=’23’
AND invoiceid=‘121’
GROUP BY actions.`actiondate`
However, what I can’t work out, is how can I add up all of these rounded up results for that invoice and that member of staff.
Can anyone help please?
If I understand correctly, you can use a subquery:
SELECT sum(dayfeeqtr)
FROM (SELECT a.`actiondate`,
FORMAT((((CEIL((((60*SUM(hrs))+SUM(mins))/60)*4))/4)), 2) AS dayfeeqtr
FROM actions a
WHERE s.staffid = '23' AND invoiceid = '121'
GROUP BY a.`actiondate`
) a;
I do note that your query is not correct -- for instance, there is a reference to staff, which is not in a from clause. However, you say that this is working, so I assume the errors are a transcription problem.
I am trying to write a single MySQL query which will tell me the total number of active users in the database in week-based intervals. The 2 returned values per row should be the date, and the total number of active users on that date. I was able to get this far:
SELECT from_days(to_days(cast(u.created as datetime)) - mod(to_days(cast(u.created as datetime)) - 1 - 1, 7)) AS date, COUNT(1) as count
FROM users u
WHERE u.active = 1
GROUP BY 1;
I believe this shows me the number of new active users in each given interval, but I can't figure out how to 'aggregate' those counts to show the total number of users increasing over each time interval. Any point in the right direction would be greatly appreciated.
It's hard to say without an example of your output but I would start by making the whole thing a subquery and using an aggregate function or a calculation on top of it.
See this post:
MySQL Running Total with COUNT
When trying to manipulate and display date from ONE table, I am having difficulty coding it correctly.
I need to, from the same table, find the amount of Services done per day (Which has been done, based on the Count of ServiceId). I then need to find the OverallCharge (done) and find the min, max and avg of these overallCharge (s) per day (BasicCharge + AdditionalPartsCharge + AdditionalLabourCharge)
I need to display these charges per ServiceDate in the table
My draft is the following but is telling me that ServiceId is not part of an aggregate function.
SELECT Service.ServiceDate, Service.NumServices , Min(OverallCharge) AS MinOverallCharge, Max(OverallCharge) AS MaxOverallCharge, Avg(OverallCharge) AS AverageOverallCharge
FROM (SELECT Service.ServiceId, Sum([BasicCharges]+[AdditionalLabourCharges]+[AdditionalPartCharges]) AS OverallCharge, Service.ServiceDate, Count (Service.ServiceId) AS NumServices
FROM Service
GROUP BY Service.ServiceDate, NumServices, MinOverallCharge, MaxOverallCharge, AvgerageOverallCharge);
Thanks
I am trying to calculate user's reputation for this month and then to find 4 nearest other results (2 are lower and 2 are higher) so at all to find 5 results at a sequence.
For example the reputation for certain user is 4500 so I should get at the end results: 2750, 3000, 4500, 4650, 8900
This is the query I am having (it only selects for the certain user his reputation in the current month): SELECT SUM(reputation_change) FROM activity WHERE user_id = '1' AND YEAR(datetime) = YEAR(CURDATE()) AND MONTH(datetime) = MONTH(CURDATE())
My table is as following:
So the question is: how to make this to be performance-fair? Don't I have to restructuralize table and to add just for each user column reputation_this_month?
Thanks for all your suggestions.
You can run a MySQL routine every night that creates a different table based off of the query above. You'll see faster results when you SELECT from this table and you won't be taxing your production table with resource intensive queries