New to using sharepoint and what to know if it is possible in a sharepoint list to calculate multiple items based on Date and location?
I have the following columns
Date
Location
Activity
Number of hours to complete task
Hours for the day
The person entering the data will use one entry per activity so may have 3 activities equaling 10.5 hours for the day.
Can I add the "Number of hours to complete task" together for the day based on the "date" and "location" and save that into the "Hours for the day" column?
SharePoint caculated column can only get the data in current item, it cannot get other items' data.
For you requirement, you may need to use some custom js code to achieve this.
Related
I have a problem with extracting the data from dataset. In my company project has some processes, which are grouped in categories. So I have one project which has many processes grouped. On the basis of column "D" I would like to get the first data and the last date from every kind of category. For example, for project 20.28 I would like to have start date from row 5 and finish date from row 4. I hundreds of projects divided into categories so making it manually isn't and option here. Below is a sample.
Sample data set
I have a solution based on consecutive filters with formulas. If this works to you I'll post here the steps.
https://drive.google.com/file/d/1pdxMGRDl_sV5wRmqIFouDQs8L43LVxgi/view?usp=sharing
I have a calendar on SharePoint online that I'm trying to use to track the amount of leave time employees use. Currently I'm capturing the number of hours daily that the employees are using a field on the event, but I would like to calculate the number of workdays in each event so that I can find out the total number of hours used by a given person.
I already assume I'm going to need another field to capture this, but how would I perform the calculation?
Below formula used to calculate working days, hope this helps.
=(DATEDIF([Start Date],[Due Date],"D"))-INT(DATEDIF([Start Date],[Due Date],"D")/7)*2-IF((WEEKDAY([Due Date])-WEEKDAY([Start Date]))<0,2,0)+1
To get the working days from event item between the 'from' and 'to' columns You can use the following formula:
=IF(ISERROR(DATEDIF(From,To,"d")),"",(DATEDIF(From,To,"d"))+1-INT(DATEDIF(From,To,"d")/7)*2-IF((WEEKDAY(To)-WEEKDAY(From))0),1,0)-IF(AND(NOT(WEEKDAY(From)=7),WEEKDAY(To)=7),1,0))
I am brand new to Spotfire (using 7.7) and am hitting a roadblock on a simple task so am hoping for some assistance.
I need a count of customers that are scheduling service dates in consecutive years.
Since users will be using different date filters I created a MaxServiceDate calculated column to give me the max date depending on the filter and from there subtract a year to give me a PreviousYear calculated column.
Then my thought is then do a distinct count of all CustomerIDs which have a ServiceDate that match the MaxServiceDate and PreviousYear. The issue I'm running into is I don't know how to group by or fix the CustomerID in order to loop through the ServiceDates and check if they have dates matching my criteria.
Thanks for any help.
Sample data:
You can create a secondary table with a pivot transformation having the max(ServiceDate) and customer ID. The join that table back with your original so that you have the maxdate for each customer on your main table. Then do a calculated column based on the Max(ServiceDate) and Service date to determine if > 365 days.
Pivot Transformation
I think a calculated column like the following would meet your needs:
If((Max(Year([ServiceDate])) over (Intersect([CustomerID])) - Min(Year([ServiceDate])) over (Intersect([CustomerID])) + 1)=UniqueCount(Year([ServiceDate])) over (Intersect([CustomerID])),"good","bad")
For each customer, take their max service date year and subtract their min service date year and add +1. This number should match the number of distinct years associated to that customer's service dates.
This will tell you if a particular customer (at least while you had that customer) had service done in consecutive years or not.
Currently i had a project using Microsoft SQL Server Analysis Service. I found a problem regarding filtering data with excel timeline.
Here is my date dimension screenshot:
<img src="https://i.stack.imgur.com/NUr2x.png"/><img src="https://i.stack.imgur.com/5OSgA.png" />
I had a cube with 2 measures, Sales Quantity (measures) and Sales Quantity Last Year (calculation). Here is MDX expression for Sales Quantity Last Year calculation:
( ParallelPeriod([Date].[YM].[Calendar Year],1,[Date].[YM].CurrentMember),[Measures].[Sales Quantity In 1000] )
After deploying the project to my local server, the data can be shown perfectly using excel 2013:
Pic: Data in Excel without filter
The problem start when i want to filter the data using excel timeline. When i filter only '2016', my calculation measure is no longer working. You can see the data in 'Sales Quantity in 1000 LY' column is blank. It looks like that i cant see the data outside current filter (2016). Pic: Filtered using timeline filter
But when i use slicer, the data can be shown normally Pic:Filtered using Slicer
Did i make a mistake in building date dimension? Or i need to fix the MDX calculation query? Because when i test this case in Microsoft AdventureWorksDW2014 with the same date hierarchy and the same calculation, all is going well.
Your parallel period calculation looks correct assuming [Date].[YM] is your date hierarchy. I am guessing that your date dimension is off somehow.
Make sure that:
it has a hierarchy created, and the hierarchy is what you are referencing in the parallel period calculation. Here is an example, you could have more or less attributes in the hierarchy obviously.
Your attribute relationships are defined correctly.
Key columns on the attributes in the hierarchy are correct. In the example above, you would just make year the key for the year column, but then for quarter it would be a collection of the year and quarter column. For period, key columns would be year, quarter, period. For week, key columns would be year, quarter, period, week. Date would just use the date column since date is the key.
4.Make sure that the date key attribute is using a date field for it's value column, as a time slicer needs this.
define time intelligence on your date dimension. Right click on the date dimension on the solution explorer and choose add business intelligence, then on choose enhancement screen pick define dimension intelligence. Then set the attribute type for each dimension attribute. Here is how it would be for our example.
Hopefully one of these does it for you.
I am working on logistics data. I have booking being made throughout the day at regular intervals from start to the end of the day.
Now these booking are consistent and I have time from like
04:45
21:10
21:10
06:07
05:44
05:45
05:45
05:45
etc.
Now as there are multiple bookings I need to group them such as
04:00- 05:00 (1 hours)- this should capture all booking made during this period.
Similar for other hours during the day.
By doing this I will be able to group individual values into specific group. Can you please advice how to achieve the same in excel.
If the values are stored as dates in Excel, the Pivot Table has this functionality built in already with the "Group Field" option. You can group by Hours which is probably what you want. Note that you can select multiple items to get a hierarchy of groups as shown below. This will break if the underlying data is not formatted as a Date so watch out for that.
If you do not have true dates and just have times, you can format as a Time in Excel and it will work. Just don't show the days/date because it will be gibberish.
add a column truncating the time to hours
along the lines of =time(hour(z),0,0)
then create a pivot table using the hour column