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.
Related
I do have data set with multiple date columns with different values of dates across all the months and years. I want to create a report wherein when I select a Year, I want to list the count of dates across each months on that year. Based on one Year field selection, how can I apply filter across different date fields to display the counts for that particular year
Lets say we have the data set like this
Date 1 Date 2
1/3/2017 NA
1/23/2017 1/23/2017
1/14/2017 1/16/2017
2/2/2017 2/3/2017
NA 2/21/2017
3/1/2017 NA
3/3/2017 3/21/2017
.
.
.
12/1/2017 12/12/2017
My result should look like this when I pick the year 2017
Date 1 Date 2
Jan 3 2
Feb 1 2
Mar 2 1
.
.
Dec 1 1
I was able to apply filter on one column but when I try to apply on other columns, I am not getting desired result
Assuming you want to interact with your dashboard using a parameter, you can create one string parameter in order to input the year you want to analyze.
After that you just need to create 2 calculated fields to count if that year is "contained" in your dates:
if contains(str([Date 1]),[Parameter]) then 1 else 0 end
Keep in mind that there's no gaurantee you'll get all the available months in the calendar unless you have data for all of them.
In order to consider even blank dates, I created a Date Global calculated field as follow:
ifnull([Date 1],[Date 2])
Once you've created this fields/parameter (show parameter control), you can simply add them in your worksheet ad I did in the image:
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").
I am attempting to load time series data from an excel spreadsheet into spotfire. In my spreadsheet there is a separate column for year (spotfire sees it as an integer) and month (spotfire sees it as text) since it is in the three letter abbreviation format ie January is JAN. I am trying to avoid changing the data in excel and would like to do all of my work in spotfire as this will be updated periodically. How do I link these columns in spotfire so that I can plot a variable over a time frame?
Click Insert > Insert Calculated Column... Make sure you have the right data table selected. In the Expression field type:
Date([year],
case when [month]="JAN" then 1
when [month]="FEB" then 2
when [month]="MAR" then 3
when [month]="APR" then 4
when [month]="MAY" then 5
when [month]="JUN" then 6
when [month]="JUL" then 7
when [month]="AUG" then 8
when [month]="SEP" then 9
when [month]="OCT" then 10
when [month]="NOV" then 11
when [month]="DEC" then 12 end,
1)
I would name it something like "monthdate". Note that each date will have the day equal to 1. If you also have the day in your data, just put that column in the formula above instead of the last 1.
Issue:
Need to show RUNNING DISTINCT users per 3-month interval^^. (See goal table as reference). However, “COUNTD” does not help even after table calculation or “WINDOW_COUNT” or “WINDOW_SUM” function.
^^RUNNING DISTINCT user means DISTINCT users in a period of time (Jan - Mar, Feb – Apr, etc.). The COUNTD option only COUNT DISTINCT users in a window. This process should go over 3-month window to find the DISTINCT users.
Original Table
Date Username
1/1/2016 A
1/1/2016 B
1/2/2016 C
2/1/2016 A
2/1/2016 B
2/2/2016 B
3/1/2016 B
3/1/2016 C
3/2/2016 D
4/1/2016 A
4/1/2016 C
4/2/2016 D
4/3/2016 F
5/1/2016 D
5/2/2016 F
6/1/2016 D
6/2/2016 F
6/3/2016 G
6/4/2016 H
Goal Table
Tried Methods:
Step-by-step:
Tried to distribute the problem into steps, but due to columnar nature of tableau, I cannot successfully run COUNT or SUM (any aggregate command) on the LAST STEP of the solution.
STEP 0 Raw Data
This tables show the structure Data, as it is in the original table.
STEP 1 COUNT usernames by MONTH
The table show the count of users by month. You will notice because user B had 2 entries he is counted twice. In the next step we use DISTINCT COUNT to fix this issue.
STEP 2 DISTINCT COUNT by MONTH
Now we can see who all were present in a month, next step would be to see running DISTINCT COUNT by MONTH for 3 months
STEP 3 RUNNING DISTINCT COUNT for 3 months
Now we can see the SUM of DISTINCT COUNT of usernames for running 3 months. If you turn the MONTH INTERVAL to 1 from 3, you can see STEP 2 table.
LAST STEP Issue Step
GOAL: Need the GRAND TOTAL to be the SUM of MONTH column.
Request:
I want to calculate the SUM of '1' by MONTH. However, I am using WINDOW function and aggregating the data that gave me an Error.
WHAT I NEED
Jan Feb March April May Jun
3 3 4 5 5 6
WHAT I GOT
Jan Feb March April May Jun
1 1 1 1 1 1
My Output after tried methods: Attached twbx file. DISTINCT_count_running_v1
HELP taken:
https://community.tableau.com/thread/119179 ; Tried this method but stuck at last step
https://community.tableau.com/thread/122852 ; Used some parts of this solution
The way I approached the problem was identifying the minimum login date for each user and then using that date to count the distinct number of users. For example, I have data in this format. I created a calculated field called Min User Login Date as { FIXED [User]:MIN([Date])} and then did a CNTD(USER) on Min User Login Date to get the unique user count by date. If you want running total, then you can do quick table calculation on Running Total on CNTD(USER) field.
You need to put Month(date) and count(username) in the columns then you will get result what you expect.
See screen below
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.