I am using SAS to connect to Teradata. Given the below dataset (it's a transaction table that updates records regularly), I need to be able to select records from the past hour (at least 3). So for example, if I am running the query at 6pm, I should get txn_id 5678, 1985, 2985 (refer to below dataset). Can you please help? This needs to be done in proc sql (connecting to teradata) or even just a SQL query running in Teradata SQL Assistant.
Dataset:
TXN_ID Date Time
1234 20200608 4:00 PM
5678 20200608 5:00 PM
1985 20200608 5:30 PM
2985 20200608 5:45 PM
2365 20200608 2:30 PM
Expected Output:
TXN_ID Date Time
5678 20200608 5:00 PM
1985 20200608 5:30 PM
2985 20200608 5:45 PM
Try outobs option :
proc sql outobs=3;
select * from sashelp.class order by Age, Name;
quit;
This option is used to limit the number of rows in the output.
Related
I have some experience in SSRS, but new in Power BI.
Would you prompt me please the first step create a detailed report in Power BI.
Initial dataset:
Client Country Month
John USA jan
Ivan Russia feb
Albert England mar
... ... ...
Desirable result:
The matrix with aggregations on the top of the Page:
Clients jan feb mar
England 50 5 30
USA 75 7 15
Russia 25 5 15
By clicking on the numbers, I want to get filtered information about clients on the bottom of the Page (e.g. if we click on 50, we get 50 rows with clients from England in January):
Client Country Month
Mary England jan
Mick England jan
Albert England jan
... ... ...
This can be done by creating 2 linked objects in Power BI: the matrix and the table.
Matrix:
Rows = Country
Columns = Month
Values = Count of ClientS
Table:
Values = Country, Month, Clients
i have data set from my Azure DevOps (collect data with work items, state, date etc...) and i want calculate count of work item from previously date. It's necessary what calculate grown rate (current count of work items - count of work items from previously date) and create visualisation.
Data set format (example):
field# (1) work item id (2)Date) ...
Graph Example (as is):
Graph Example (to be):
Example of raw data:
Can I consider these below you sample raw data? I will delete this answer after everything is clear.
date work item id
9/24/2020 1012
9/24/2020 1013
9/24/2020 1014
9/25/2020 1012
9/25/2020 1013
9/25/2020 1014
9/25/2020 1015
Gap in date
9/27/2020 1012
9/27/2020 1013
9/27/2020 1014
9/27/2020 1015
9/27/2020 1016
9/27/2020 1017
If I consider Date wise ID count, below is the result-
date id count
9/24/2020 3
9/25/2020 4
9/27/2020 6
Now what you want from the above counts? As per my understanding-
date diff
9/24/2020 3 ->> As no previous date available, its current date count
9/25/2020 1 ->> Diff between current and previous date
9/27/2020 ? ->> what you wants here? as previous date is not there
I have a query that generates every day of the year(shown below). What if I want to get a series of every hour of every day of the year from the current timestamp. Example: today is July 23,2019 10:30:00 AM, the result I am hoping to get is below
2019-07-23 20:30:00
2019-07-23 20:00:00
2019-07-23 19:00:00
2019-07-23 18:00:00
.
.
.
2018-07-23 20:00:00
This is a Redshift (PostgreSQL 8.0.2) query for Eclipse Birt. Hoping to create a parameter for both date and time but seems difficult to achieve if 2 separate ranges.
select cast(convert_timezone('UTC','AEST',cast(now() as timestamp without time zone)) as date) - generate_series(0, 365) date,
to_char(cast(convert_timezone('UTC','AEST',cast(now() as timestamp without time zone)) as date) - generate_series(0, 365), 'dd/mm/yyyy') date_disp;
Example: today is July 23,2019 10:30:00 AM, the result I am hoping to get is below:
2019-07-23 20:30:00
2019-07-23 20:00:00
2019-07-23 19:00:00
2019-07-23 18:00:00
.
.
.
2018-07-23 20:00:00
This is to similar to your previous question.
Use:
SELECT date_trunc('hour', now()::timestamp) - generate_series(0, 24 * 365) * interval '1 hour'
This outputs:
2019-07-23 05:00:00
2019-07-23 04:00:00
etc
You can use the DATEADD Redshift function, using "h", "hr" or "hrs" as your first parameter. Documentation for this function can be found here and here.
I am trying to create a variance measure in PowerBI.
This is the data that I have,
Month Year MonthNo Value
Jan 2016 1 700
Feb 2016 2 800
March 2016 3 900
April 2016 4 750
.
.
Jan 2017 13 690
Feb 2017 14 730
And My variance for the Month Number 7 should be like,
`{Avg(values(4,5,6) - Value(7)} / Value(7)`
i.e (Average of last 3 months value - current month value) / Current month value
How to do this in Power BI? Thanks.
If it is okay for you to use a column, I believe you could add one with this code to get what you want:
Variance = (CALCULATE(AVERAGEX(Sheet1,Sheet1[Value]),FILTER(FILTER(Sheet1,Sheet1[MonthNo]<=EARLIER(Sheet1[MonthNo])-1),Sheet1[MonthNo]>=EARLIER(Sheet1[MonthNo])-3))-Sheet1[Value])/Sheet1[Value]
You'll need to replace all instances of Sheet1 with the name of your table.
It'll give you something like this:
I can't Read a column from excel which like
9:32:18 AM
9:32:23 AM
9:34:31 AM
9:34:33 AM
4:53:56 PM
8:28:44 AM
8:35:19 AM
4:21:22 PM
8:37:50 AM
8:37:58 AM
8:38:16 AM
4:44:33 PM
in SAS Base 9.4 on Windows 10
TimeZone +2