I would like to SUMX my Employees Wages, but without Employees who have any sickness record, in which selected date is. So, if Employee was sick from March 3rd to March 5th and Selected Date is March 4th, we don't take that Employee into an account.
That's How I Get A CurrentDay From Slicer:
That's How I Was Trying To At Least Sum Rows, In Which CurrentDay Is Before EndDate of Sickness Record:
And all I get is... The number of TOTAL rows in my sickness records table:
How can I filter that table, to get a valid result?
The structure of your tables is not clear. So, looking through your code you can try following:
COUNTROWS(
FILTER(
table -- ALL(table) as variant, depends on your report ect.
,table[StartDate] <= SELECTEDVALUE(Calendar[Date]) & table[EndDate] >= SELECTEDVALUE(Calendar[Date])
)
Related
I have a table of sales grouped by week. I want to write a query that creates a new table giving the sales of the week in question AND the sales of that item from this time last year, but my attempts either give blank cells for the this-time-last-year (TTLY) values or duplicates.
I've tried writing a subquery that takes the date, subtracts 52 weeks, and shows the value for that week, then joining that subquery to my main query.
However, that subquery isn't working: the query shows the date of a year ago correctly, but doesn't then pull the SALES for that TTLY week, only the current week.
with ttyl as
(select
date::date as date,
(sales.date - interval '52 weeks') as date_ttly,
ID,
value
from sales
where country = 'uk' and date > '2019-08-01' and ID = '12345678')
In this example the subquery generates the previous year's date in the date_ttly column but pulls 2019 data in the value column.
All the WHERE conditions are just temporary so as to make building the query easier.
Thank you!
Assuming that the sales are grouped by date and by country only, a join on the same table should work:
SELECT sales1.id,
sales1.date,
sales1.value,
sales2.date,
sales2.value
FROM sales AS sales1
JOIN sales AS sales2 ON sales1.date - interval '52 weeks' = sales2.date
AND sales1.country = sales2.country
However, this also assumes that your date is always the same day of the week, e.g. Monday.
I have 3 tables, one with stocktakes conducted last year, one with stocktakes conducted this year and one with sales. All of them are joined by date to one table where I have dates.
Now the question is what can I do to get table with:
store name/ last year stocktake date/ this year stocktake date/ sum of sales from last year stocktake date to this year stocktake date.
If you choose store, than stocktake date from one table, stocktake from second table all looks good, the problem is that I can't get sales to show from/to.
C2Csales = calculate(sum(PP_SalesLessTax[SalesLessTax]),PP_SalesLessTax[date] >= [ly date])
[ly date] is just a measure with last year stocktake date
I have a feeling that this have to be very easy but have no idea how to get this work
thanks
daniel
please see data model. It is a part of bigger model but I have trimmed it so it is clear what is this about.
data model
And here is what I need. Please see picture.
thanks for all responses
result required
You don't need two tables to simulate years. You can have just one. The idea of last year should be calculated by a measure. If you have a complete date table with a day for each row without missing days then you can build time intelligence.
If I get you, you need something like this two measures:
Sales = sum(PP_SalesLessTax[SalesLessTax]
Sales LY = CALCULATE ( sum(PP_SalesLessTax[SalesLessTax] , SAMEPERIODLASTYEAR ( DatesTable[DateColumn] )
With this two measures you can take both of them on same visualizations to compare them.
The idea of having from and to can be solved on visualizations. The slicer with a date type column can create a range filter data that will apply for this two created measures.
I have a date column which I am trying to query to return only the largest date per month.
What I currently have, albeit very simple, returns 99% of what I am looking for. For example, If I list the column in ascending order the first entry is 2016-10-17 and ranges up to 2017-10-06.
A point to note is that the last day of every month may not be present in the data, so I'm really just looking to pull back whatever is the "largest" date present for any existing month.
The query I'm running at the moment looks like
SELECT MAX(date_col)
FROM schema_name.table_name
WHERE <condition1>
AND <condition2>
GROUP BY EXTRACT (MONTH FROM date_col)
ORDER BY max;
This does actually return most of what I'm looking for - what I'm actually getting back is
"2016-11-30"
"2016-12-30"
"2017-01-31"
"2017-02-28"
"2017-03-31"
"2017-04-28"
"2017-05-31"
"2017-06-30"
"2017-07-31"
"2017-08-31"
"2017-09-29"
"2017-10-06"
which are indeed the maximal values present for every month in the column. However, the result set doesn't seem to include the maximum date value from October 2016 (The first months worth of data in the column). There are multiple values in the column for that month, ranging up to 2016-10-31.
If anyone could point out why the max value for this month isn't being returned, I'd much appreciate it.
You are grouping by month (1 to 12) rather than by month and year. Since 2017-10-06 is greater than any day in October 2016, that's what you get for the "October" group.
You should
GROUP BY date_trunc('month', date_col)
I am having an issue in calculating last week data in Tableau. Below is my scenario:
In my dashboard, I have a slider which selects the date. In my table, I have a list of users where I will be showing each of them's call records. One column will have last week records and one will have total records.
For Total records, there is not an issue. But for finding last week's count, I need to have a calculated field, that needs to subtract 7 days from the date selected and then give out the number of records for each user.
Say I have selected date as 25-04-2017, then my table should show all the records until 25-04-2017 in one column and other should show data from 18-04-2017 till 25-04-2017.
You can filter it with Relative days. When adding your dimension (date type) to the Filters list the picture below will appear.
Now you can click on the relative date and to choose the best option for you. You can see it in the picture below.
Create a Date parameter for your user to select. Using the Superstore data set, I created a calc field for last 7 days sales:
if datediff('day',[Order Date],[date]) <= 7 and datediff('day',[Order Date],[date]) >= 0 then [Sales] end
And sales up to date:
if datediff('day',[Order Date],[date]) >= 0
then [Sales] end
See attached example: https://www.dropbox.com/s/nqdp9zj74jay72d/170427%20stack%20question.twbx?dl=0
I was able to find the solution for my issue.
I created a boolean field as Max7Days with the formula as below:
DATEDIFF('day', [Date] , {MAX([Date])} ) <= 7
And created another that would count the number of records for the last 7 days if the condition was true as per the below formula:
CASE [Max7Days]
WHEN TRUE
THEN
[Number of Records]
END
I'm having a customer look up a report between FROM and TO dates. Basically for any month a client can request a report, what I need to do is show the QTY of units in the inventory as of the last day of previous month. So if client is looking to make a report for 12/23/2015 - 12/28/2016 then I need to show the QTY of units in inventory (beginning inventory) on 11/30/2015. I had someone recommend I use DateSerial, but it doesn't seem to do what I want it to do. Basically the FROM AND TO dates are values that I pass on from a Visual Basic application into an empty form and they get used in the report.
I'm not sure if I need to make changes to my queries. Here's what the report does..
With the report, I need to be able to show the client the following...
ItemID
Beginning Inventory (as of last day of previous month)
Unit Price
Bought Units (for report date)
Sold Units (for report date)
Returned Units (for report date)
Subtotal (of bought +sold+returned)
Inventory on hand (beg + subtotal)
So what I do is in my first query I get the Unit Price, and Beginning Inventory (currently not filtering by last day of previous month).
Then I have 3 more queries, one for Bought, Sold and Returned where I link the ItemID's and I filter the TransactionDate (between dates form!formdates!txtFrom and form!formdates!txtTo).
Then I have the last query where I combine the first one with the other 3. Now I'm pretty sure I should include the DATESERIAL() function in the first query? And filter the TransactionDate (this is the column i need to look through to count beginning inv, as well as look for Bought, Sold, Returned Items).
Please help!
The DateSerial() function should return the last day of the previous month. Here is an example query for your problem:
SELECT ID, myDate
FROM Table1
WHERE (((myDate)=DateSerial(Year([enter start date:]),Month([enter start date:]),0))) OR (((myDate) Between [enter start date:] And [enter end date:]));
Documentation: https://msdn.microsoft.com/en-us/library/bbx05d0c(v=vs.90).aspx