Second shift creates inventory and it is timestamped at that time.
The issue is when it comes to reporting if I choose second shift for 1/10/2019 I wont get any of the inventory created after midnight, because the date changed.
For example: 2nd shift on the 9th produced two items. one before midnight and one after midnight. I run a report asking what second shift produced on the 9th, but it only returns pallet one and not pallet two, because pallet two technically was created on the 10th.
I can't just select second shift on the 9th and 10th, because then I'll get the last half of the 9th's second shift production, and the first half of the 10th second shift production. I'd also prefer not to make my report viewers enter a time in addition to the date.
I need one of two things...
1. a way to input this data in a way that I can get the data i need.
2. a way to output this data in a way that i can get the data I need. (this one preferably)
The data is in SQL, and I am creating this report in SSRS.
I have tried entering date and time, but still not getting desired result...
Since you seem to have your Shift number in your data and it's timestamped, you can use a CASE statement to adjust the datetime based on the shift.
SELECT SHIFT, PRODUCTION_DATE,
CASE SHIFT WHEN 2 THEN DATEADD(HOUR, -8, PRODUCTION_DATE) ELSE PRODUCTION_DATE END AS PRODUCTION_DATE_ADJUSTED
FROM TABLE
Related
So I have two time series on one time axis. However, the second time series (Exiters) has null data for the last time period (2018 Q3). Tableau is currently dealing with this null data point by extending the series line to to the bottom which ultimately makes it appear to any user that the data has dipped to "0". Extending the line to "0" is misleading in my opinion.
That being said, is there any way to exclude this null data point only without affecting the data in the other time series (Participants)? Basically, I just want to exclude this specific null data point, have the Exiter time series end at 2018 Q2 and maintain the Participant time series ending at 2018 Q3. This surely is possible right?see image here
In my attempts to reproduce this, I kept finding that the default behavior was to act as you are desiring; to have Exiter end at Q2 while Participant displays into Q3.
I was able to reproduce the "0" effect, though, once I clicked on the following button "Show data at default position" after clicking on the "2 Nulls" button at the bottom right of the viz:
I wonder if perhaps at some point that button was clicked in the creation of this workbook. More information on default positions here.
The way to revert this behavior, which may end up giving you the view you are looking for is:
Analysis > Special Values > Hide
I have been struggling to find the new incoming volume per day.
I have categories as : - total ticket, Resolved, closed and Daily left.
So the calc is everyday resolved and closed are moved from the queue and
'daily left = Total Ticket- (Pending + Closed)'
Now there is some carry forward everyday hence the total ticket for the next day includes some volume i.e. Daily left of previous day.
I am not able to figure out how to show that number, I have tried using previous value but it is not helping. Please suggest. Attaching a print screen of the data.
For 3rd the # of records are 33 however there is 1 carry forward from previous
day hence the Fresh Vol should be 32. I have used the formula to calc but it is
not giving correct result
sum([Number of Records]) - (PREVIOUS_VALUE([Daily Left Volume]))
This is taking the left over of current day and not previous day.
I am also using look Up function but that also does not show the current output.
The output from tableau after using the lookup function is below attached as well
I am new to this community and dont have enought reputation to comment :P. So writing few possible solutions here:
1) Make sure the data is sorted by date and is unique on date level. If it is not then Previous or lookup might not work
2) Another solution will be take running_sum of every field and then apply the operations. This should give right answer
3) If this does not will it possible to change the way you import the data?
a) Simply create another filed as Date_past = Date-1 in your raw data.
b) Duplicate your data.
c) join the two data sets on Date = Date_past
d) Now you have all the data of today's date and last day in one field and you can perform operations as you need
I have an incident queue, consisting of a record number-string, the open time - datetime, and a close time-datetime. The records go back a year or so. What I am trying to get is a line graph displaying the queue volume as it was at 8PM each day. So if a ticket was opened before 8PM on that day or anytime on a previous day, but not closed as of 8, it should be contained in the population.
I tried the below, but this won't work because it doesn't really take into account multiple days.
If DATEPART('hour',[CloseTimeActual])>18 AND DATEPART('minute',[CloseTimeActual])>=0 AND DATEPART('hour',[OpenTimeActual])<=18 THEN 1
ELSE 0
END
Has anyone dealt with this problem before? I am using Tableau 8.2, cannot use 9 yet due to company license so please only propose 8.2 solutions. Thanks in advance.
For tracking history of state changes, the easiest approach is to reshape your data so each row represents a change in an incident state. So there would be a row representing the creation of each incident, and a row representing each other state change, say assignment, resolution, cancellation etc. You probably want columns to represent an incident number, date of the state change and type of state change.
Then you can write a calculated field that returns +1, -1 or 0 to to express how the state change effects the number of currently open incidents. Then you use a running total to see the total number open at a given time.
You may need to show missing date values or add padding if state changes are rare. For other analytical questions, structuring your data with one record per incident may be more convenient. To avoid duplication, you might want to use database views or custom SQL with UNION ALL clauses to allow both views of the same underlying database tables.
It's always a good idea to be able to fill in the blank for "Each record in my dataset represents exactly one _________"
Tableau 9 has some reshaping capability in the data connection pane, or you can preprocess the data or create a view in the database to reshape it. Alternatively, you can specify a Union in Tableau with some calculated fields (or similarly custom SQL with a UNION ALL clause). Here is a brief illustration:
select open_date as Date,
"OPEN" as Action,
1 as Queue_Change,
<other columns if desired>
from incidents
UNION ALL
select close_date as Date,
"CLOSE" as Action,
-1 as Queue_Change,
<other columns if desired>
from incidents
where close_date is not null
Now you can use a running sum for SUM(Queue_Change) to see the number of open incidents over time. If you have other columns like priority, department, type etc, you can filter and group as usual in Tableau. This data source can be in addition to your previous one. You don't have ta have a single view of the data for every worksheet in your workbook. Sometimes you want a few different connections to the same data at different levels of detail or for perspectives.
I am working on a home accounting template (and could not find any good one :-/), so I am creating one for each month. Both in my expenses and my incomes, I would like to have a date column where I just have to insert the "day" (e.g.: 22) and it automatically fills the rest with the current month and year (or I could set them in another cell).
For example: 22 + ENTER would return: 22/12/2014
If I do this, I automatically get a default date: 22/01/1900
I do not know if it is possible to change this defaul date depending on the current one or any other value.
I have tried with a different strategy: if the amount column is not empty, fill in with today's date: =IF(A3="";"";TODAY())
The problem is that I do not always register today's expenses, so I need to change it manually. I was just wondering if this is possible and there is a better way (maybe a macro?).
You need Excel to modify the cell contents after you press ENTER. The only option seems to be a Macro using the Worksheet_Change event.
Please check out this other question. I think that will help.
This can be achieved with simple formatting and use of controls that are available in Excel. VBA will give you drastically more flexibility, however the request above can be accomplished without learning VBA.
I have included a sample file here.
Steps to recreate:
Create a range of months. I created a range including the current month through 12/2014
Insert a combo box from the developer tab. Right click and select Format Control. On the Control tab, input the range you just created and then select a "linked cell". This will insert an integer to indicate which item you picked in the list, starting at 1.
Use the attached formula to add the DAY that you enter in the first column and VLOOKUP the month and year from the value chosen in the combo box.
Enhancements: I used conditional formatting to change the text color of the days you enter to WHITE. This way you won't see them. I also included some checking in the VLOOKUP formula: the day you enter must be a number and must be non-blank for a date to populate.
Tough problem I am working on here.
I have a table of CustomerIDs and CallDates. I want to measure whether there is a 'repeat call' within a certain period of time (up to 30 days).
I plan on creating a parameter called RepeatTime which is a range from 0 - 30 days, so the user can slide a scale to see the number/percentage of total repeats.
In Excel, I have this working. I sort CustomerID in order and then sort CallDate from earliest to latest. I then have formulas like:
=IF(AND(CurrentCustomerID = FutureCustomerID, FutureCallDate - CurrentCallDate <= RepeatTime), 1,0)
CurrentCustomerID = the current row, and the FutureCustomerID = the following row (so it is saying if the customer ID is the same).
FutureCallDate = the following row and the CurrentCallDate = the current row. It is subtracting the future call time from the first call time to measure the time in between.
The goal is to be able to see, dynamically, how many customers called in for a specific reason within maybe 4 hours or 1 day or 5 days, etc. All of the way up until 30 days (this is our actual metric but it is good to see the calls which are repeats within a shorter time frame so we can investigate).
I had a similar problem, see here for detailed version Array calculation in Tableau, maxif routine
In your case, that is basically the same thing as mine, so you could apply that solution, but I find it easier to understand the one I'm about to give, I would do:
1) Create a calculated field called RepeatTime:
DATEDIFF('day',MAX(CallDates),LOOKUP(MAX(CallDates),-1))
This will calculated how many days have passed since the last call to the current. You can add a IFNULL not to get Null values for the first entry.
2) Drag CustomersID, CallDates and RepeatTime to the worksheet (can be on the marks tab, don't need to be on rows or column).
3) Configure the table calculation of RepeatTIme, Compute using Advanced..., partitioning CustomersID, Adressing CallDates
Also Sort by Field CallDates, Maximum, Ascending.
This will guarantee the table calculation works properly
4) Now you have a base that you can use for what you need. You can either export it to csv or mdb and connect to it.
The best approach, actually, is to have this RepeatTime field calculated outside Tableau, on your database, so it's already there when you connect to it. But this is a way to use Tableau to do the calculation for you.
Unfortunately there's no direct way to do this directly with your database.