How would i write a statement that would make specific group by's looking at the monthly date range/difference. Example:
org_group | date | second_group_by
A 30.10.2013 1
A 29.11.2013 1
A 31.12.2013 1
A 30.01.2015 2
A 27.02.2015 2
A 31.03.2015 2
A 30.04.2015 2
as long es there isnt a monthly date_diff > 1 it should be in the same second_group_by. I hope its clear enough for you to understand, the column second_group_by should be generated by the user...it doesnt exists in the table.
date diff between which rows though?
If you just want to separate years (or months or weeks) use
GROUP BY DATEPART(....)
That's Sybase or SQL Server but other SQLs will have equivalent.
If you have specific data ranges, get them into a table with start and end date-time and a monotonically increasing integer, join to that with a BETWEEN and GROUP BY the integer.
Related
I am compiling data of multiple years but I only need time not date and year. How can I set the year and date data into a single year and a single date so that I can use the time information as accumulative data?
2020-01-01 + time value.
Thanks!!!!
The information you provided is a little light. Still with certain assumptions:
create table ts_sum (ts_fld timestamptz);
insert into ts_sum values ('2020-04-14 08:15:32'), ('2021-09-27 18:45:01'), ('2022-01-09 20:21:05');
select sum(to_char(ts_fld, 'HH24:MI:SS')::interval) from ts_sum;
sum
----------
47:21:38
Needs to be tested with your data. The procedure is extract the time portion out of the timestamp using to_char then cast that to an interval and then sum the time intervals.
I am creating a Tableau visualization for floor stock in our plant. We have a column for incoming date, quantity, and outgoing date. I am trying to create a visualization that sums the quantity but only while between the 2 columns.
So for example, if we have 9 parts in stock that arrived on 9/1 and is scheduled to ship out on 9/14, I would like this visualization to include these 9 parts in the sum only while it is in our stock between those 2 dates. Here is an example of some of the data I am working with.
4/20/2018 006 5/30/2018
4/20/2018 017 5/30/2018
4/20/2018 008 5/30/2018
6/29/2018 161 9/7/2018
Create a new calculation:
if [ArrivalDate]>="2018-09-01" and [ArrivalDate]<"2018-09-15"
and [Shipdate]<'2018-09-15"
then [MEASUREofStock] else 0 end
Here is a solution using UNIONs written before Tableau added support for Unions (so it required custom SQL)
Volume of an Incident Queue at a Point in Time
For several years now, Tableau has supported Union directly, so now it is possible to get the same effect without writing custom SQL, but the concept is the same.
The main thing to understand is that you need a data row per event (per arrival or per departure) and a single date column, not two. That will let you calculate the net change in quantity per day, and you can then use a running total if you want to see the absolute quantity at the close of each day
There is no simple way to display the total quantity between the two dates without changing the input table structure. If you want to show all dates and the "eligible" quantity in each day, you should
Create a calendar table that has all dates start from 1990-01-01 to 2029-12-31. (You can limit the dates to be displayed in dashboard later by applying date filter, but here you want to be safe and include all dates that may exist in your stock table) Here is how to create the date table quickly.
Left join the date table to stock table and calculate the eligible quantity in each day.
SELECT
a.date,
SUM(CASE WHEN b.quantity IS NULL THEN 0 ELSE b.quantity END) AS quantity
FROM date a
LEFT JOIN
stock b on a.date BETWEEN b.Incoming_Date AND b.Outgoing_Date
GROUP BY a.date
Import the output table to Tableau, and simply add dates and quantity to the chart.
Im a novice SPSS user and are working on a data set with two columns, customer ID and order date. I want to create a third variable with a month integer of number of inactive months since the observed customer ID:s last order date. This is how the data looks like:
This will create some sample data to demonstrate on:
data list list/ID (f3) OrderDate (adate10).
begin data
1 09/18/2016
1 03/02/2017
1 05/12/2017
2 06/06/2016
2 09/09/2017
end data.
Now you can run the following syntax to create a variable that contains the number of complete months between the date in the present row and the date in the previous row:
sort cases by ID OrderDate.
if ID=lag(ID) MonthSince=DATEDIF(OrderDate, lag(OrderDate), "months").
In SQL Task Editor I have the following Query
DELETE FROM
[TICKETS_DATA]
where BILLING_TICKETS_DATA_Time_ID <
(SELECT TIME_ID
FROM [TIME]
WHERE (TIME_Year = ?) AND (TIME_Month = ?)) - 1
I have TIME_ID with relevant Month and Year present in the row.
I have 2 Variables present as Time_Month (int32) and Time_Year (int32) for eg 08 and 2012 respectively.
I want to pick up the Current Time_ID and pass the above query in SQL Task Editor.
Currently in the Table I was storing 1 month of data and now want to store 3 months data.
Kindly, assist me in Parameter mapping and how to parse the variable in the SQL Command query.
As long as the Time_id in the table is a numeric value that is incremented by one for each record, and there is as stated one record per year/month combo and the numbers increase sequentially, by one each time, in date order (i.e. 2000 01 has time_id 1 and 2000 02 has time_id 2 and 2001 1 has time_id 13), then you can just change the -1 to -3 to delete records from your table that are older than three months. Bear in mind that since this was probably run last month, you will have two months in the table on the first run after this change and it will delete 0 records in this first run. Next run, you will have 3 months and it will delete 0 records again. On the third run (assuming it is only run once a month) you will have three months of data and it will delete records from 4 months prior to that date.
I have a rating table. It boils down to:
rating_value created
+2 april 3rd
-5 april 20th
So, every time someone gets rated, I track that rating event in the database.
I want to generate a rating history/time graph where the rating is the sum of all ratings up to that point in time on a graph.
I.E. A person's rating on April 5th might be select sum(rating_value) from ratings where created <= april 5th
The only problem with this approach is I have to run this day by day across the interval I'm interested in. Is there some trick to generating a running total using this sort of data?
Otherwise, I'm thinking the best approach is to create a denormalized "rating history" table alongside the individual ratings.
If you have postgresql 8.4, you can use a window-aggregate function to calculate a running sum:
steve#steve#[local] =# select rating_value, created,
sum(rating_value) over(order by created)
from rating;
rating_value | created | sum
--------------+------------+-----
2 | 2010-04-03 | 2
-5 | 2010-04-20 | -3
(2 rows)
See http://www.postgresql.org/docs/current/static/sql-expressions.html#SYNTAX-WINDOW-FUNCTIONS
try to add a group by statement. that gives you the rating value for each day (in e.g. an array). as you output the rating value over time, you can just add the previous array elements together.