I have four values: Name, Maturity, Hasinteracted?, SizeofName
Entity (Constant) - represents the name of the entity.
Maturity (Variable) - In months, how long have they been active with us (i.e. 1 would be one month etc)
Hasinteracted? (True, False) - If yes, their value is TRUE
SizeofEntity (constant) - How large is this entity? This value varies for different Names but is constant for its' own name (i.e. Entity A will always be 12 regardless of their maturity, while Entity B will be 19 regardless of their maturity)
What I am trying to do:
Using a PivotTable, I have been able to create a table which has Maturity in the rows, and count of interactions for each maturity in the column.
The part that I am struggling with is the total SizeofEntity. Basically, I want it to sum the total SizeofEntity. The issue is that if Entity A repeats in the name section, it will double in this calculation.
Example
Entity A shows once (size = 12) in maturity 1 and maturity 2, Entity B shows once (size = 19) in maturity 1.
What I am hoping to see in the value section is the total SizeofEntity in Maturity 1 being 31 and 12 in Maturity 2, which occurs.
Now, if Entity A was to interact twice in Maturity 1, I would want the size to remain same, but the number of interactions to increase. With the way it is currently structured, because Entity A is repeated, the interaction now increases by one, but so does the size of the entity (from 31 to 43).
Is there a way to have Excel ignore the value in the SizeofEntity if the Entity name is repeated in another column, or is there another way to make this possible?
The data provided in the images is a small example. I am dealing with a much larger dataset with over 300 different names with hundreds of interactions per maturity period.
I've achieved your expected results using the following logic.
Create a column called EntityConcat on column E. With this you can detect if you have duplicate entity and maturity pairs.
I've concatented them using this formula then dragged down:
=A2&B2
In another column (F) detect if they repeat and only flag the first occurence:
=IF(COUNTIF(E$2:E2,E2)=1,1,"")
Finaly I've created another column that shows sizes for the first occurence only:
=IF(F2=1,D2,0)
Now on your pivot table you can count "SizeofEntity" for total number of occurences but should instead sum this last column's values, where no duplicate entity sizes will be found.
Hope this is what you were after.
Related
I am looking for a way to make a specific graph in Excel and I can't find a solution in Excel or on the web.
I have data about an online training with people completing parts of a course at a certain time:
FullName
Course
TIME
Name-A
Part 1
23/03/2022 10:38
Name-A
Part 2
23/03/2022 12:07
Name-A
Part 3
23/03/2022 16:55
Name-B
Part 1
11/03/2022 15:14
Name-B
Part 2
22/03/2022 12:08
Name-B
Part 3
28/03/2022 16:06
Name-B
Part 4
30/03/2022 14:55
Name-B
Part 5
18/04/2022 08:13
Name-C
Part 1
11/04/2022 15:25
Name-C
Part 2
20/04/2022 13:50
I would like to have a specific graph of this data:
On the vertical axis: one row for each user' name: Name-A, Name-B and Name-C.
On the horizontal axis: continuous time (say, in days) From the minimum time in the table (or less) to the maximum (or more)
Series of plots for the data: Each part of the course (from Part 1 to Part 5 here) would be a series of dots of a specific color, placed on the right row (for a learner's name) above the corresponding time on the horizontal axis.
Do you have any idea on how it could be achieved?
All the best, R.S.
Edit: The table does not appear as in the preview so i try to add a screenshot:
Screenshot of the table
So one way to visualise this as mentioned in the comments is to create a separate series for each person and show passing each part of the course as a vertical step:
It's based very loosely on this but I've set each day in the date range as the x-coordinates and used a lookup to transform the data in H2
=RIGHT(XLOOKUP($G2+TIME(23,59,59),FILTER($C$2:$C$11,$A$2:$A$11=H$1),FILTER($B$2:$B$11,$A$2:$A$11=H$1),0,-1))+(COLUMN()-COLUMN($G$1))*10
pulled down and across to give
Explanation
The data for the graph has dates spanning the times in the raw data for its x-coordinates (column G). I generated it manually but could have used Sequence in Excel 365.
There are three columns of y-values, H to J, generating a separate series for each person. The three lines are initially spaced out by 10 units based on the column number. In the formula above, the raw data is filtered by the person's name so the headers in columns H, I or J match the names in column A in the raw data. Xlookup is used with 'next smallest' match so where the date in column G is greater or equal to the date/time in column C it will return the corresponding course from column B. Because column C actually contains date/times, I have added almost 24 hours when matching the date in column G to make sure that a match is found if the day is the same, regardless of time. In a case like Name-A, where three courses are completed in the same day, this will automatically select the last one (Part 3). Then I take the right-hand character of the course name (which is a digit in the sample data) and add it to the relative column number multiplied by 10. If there is no match, Xlookup returns zero so you just get the initial value for each series (10, 20 or 30), otherwise the result will be an increase by one unit each time a course is passed. If you couldn't assume the last character of the course name was a digit, you would need a lookup to assign a number to each course name.
The data is then plotted on a scatter graph with points joined by straight lines. I had to adjust the x-axis manually to make the range correct and the labelling clearer.
This could be done without Excel 365, probably using Aggregate to get the highest row number with a condition on the name and date.
EDIT
I could have achieved the same result much more easily using Countifs to find how many courses had been passed by a certain person by a certain date:
=COUNTIFS($A$2:$A$11,H$1,$C$2:$C$11,"<="&$G2+TIME(23,59,59))+(COLUMN()-COLUMN($G$1))*10
This wouldn't have needed Excel 365. If you needed to give different courses different weightings, you could do this with a sumproduct and a lookup, also fairly straightforward.
Good evening to all. I have a problem with powerbi that I can't solve:
I have the following data stored there (for simplicity, I have voluntarily reduced the size of the table):
https://files.fm/u/yx9y4mrun
id: the id of a person. Here we have three persons
Name: represents an activity performed by a person. Here we have only two activities: activity 1 and activity 2
Value: the value transmitted by the person.
Date: the date and time of transmission.
As you can see, a person can send several data in one day, at different dates and times. Now I want a table in powerbi that represents the data as follows
a column that represents the first date of data transmission by a person (I did this using a measure that I named "first" with the formula MIN(Donnee[Date]))
a column that represents the last date of data transmission by a person (I did it using a measure that I named "last" with the formula MAX(Donnee[Date]))
a column that displays for each patient the n-th day of transmission (roughly if it is day 1 or 2 or 3)
For the latter, I wanted to make a DATEDIFF(Donnee[Date]-Donnee[last], DAY) +1. But I have the following error:
It is impossible to determine a unique value for the "Date" column in the "Data" table. This can happen when a measurement formula refers to a column that contains many values, without specifying an aggregation such as min, max, count or sum to get a unique result.
Let's say I have this:
A B
1 10 20
2 12 30
3 25 15
4 40 30
How do I find the row which have same value in column B and different value for column A when compared to all the rows above or below ?
I want to find this cell:
A2:B2
Update: NO revision necessary
Following feedback I have tested this equation (below) with 20k rows (link below) - happy to report back results as expected/all still in order. No changes necessary/warranted. This function works just fine/as expected. Beaut!
Explanation:
When testing large samples of data of type 'integer' (say) that range a common order of magnitude/size (i.e. have material probability of re-occurring), the probability of obtaining a unique value for field A (col B, below screenshot) reduces, due to the law of large numbers (variance is what leads to unique values, and this reduces as the sample size increases).
As a consequence, one may encounter results = !Calc# which simply means 'no unique values could be found in col A (or they could but only for when col C was also unique - although the probability of this is remote, it's mainly due to numerous other cells in respective columns containing identical data. Throw a negative 100 in column A (assuming all other values are positive real/integer number plane), and you should see my eqn. below return '-100' and whatever the corresponding 'col-C' data is (assuming that is not unique too, as I have mentioned)...
NOW - back to the solution already! :)
ORIGINAL SOLN:
This will give you back every such combination (besides {12,30} there is also {40,30}):
=FILTER(B2:B5&"-"&C2:C5,(COUNTIFS(B2:B5,"="&$B$2:$B$5)=1)*(COUNTIFS(C2:C5,"="&$C$2:$C$5)>1))
OneDrive excel-linked spreadsheet for your convenience here, taking careful note of restrictions per 1st comment to this proposed soln.
Screenshot
Notes
Assumes you have Office 365 version of Excel
Can I define different aggregation methods for subtotals in different dimension in an Excel pivot table?
The following example shows a result I'm trying to obtain. The metric to aggregate is, let's say, lines of code of a software project. The 2 dimensions in question are Date and Organization. In source data, Organization is broken down into 2 columns, Department and Project, while Date is a single column and Excel makes up the Months/Years summaries automatically when making the ODBC data connection.
A metric such as this one should be aggregated differently along the different dimensions. For the Organization dimension, the subtotal for all projects of the department is the SUM, but in the date dimension, the subtotal for all months of the year is the MAX of any given month (or perhaps AVG, or last etc. but certainly not SUM).
I've tried to define the different aggregation methods in Excel in the field settings, but it always selects one or the other method for both dimensions. Is there a way to do it, preferably using standard Pivot Table mechanisms or at worst a UDF in Excel?
What I would do to tackle this problem is to add both aggregation functions: sum and max , then hide ( or shrink a lot ) those columns you do not want to display.
in the above example I shrink columns B,D,F and I because of they has values that are out of scope for your requirements.
The "Total Max of Loc" displays a value consistent with the function expressed throughout the entire column: that is "the maximum number of lines of code reached by each project in each department; this could lead to misunderstandings when we observe the values of the subtotals and grand total; i.e: The "Grand Total - Total Max of Loc" is not the "Total Max of Sum of Loc": in the example, it shows 18 which represents the absolute maximum value of Loc in a Project in each Department; In the same way the Total Max of Loc for Department 2 is 18 and form Department 1 is 12
When requested a different behavior as expressed in comment to this answer, I think we are entering into the strong customizations space and some solution could be found by writing custom macro and by leveraging the getpivotdata function or, if it can be acceptable for your case, simply by the addition of a new column with the max()formula and possibly hiding the column "Total Max of Loc"
I am new to Spotfire and need help in getting the right expression for a calculated column.
My Data contains different subjects grouped in column ID. For every ID, Bodyweight was measured on different days. Days are given in column Day and stated as 1,2,3...
The last day is denoted by Last and Bodyweight measurements given in another column. Another column is present which is called Baseline. The Body weight measured is considered as baseline if the column contains a Y for that row.
I need to insert a calculated column, which will contain the difference between Body measurement measured on Day denoted Last and Body measurement marked by Y in column Baseline.
This should be done for every new ID. I am not able to figure this out. Could someone advise me on how to go about it?
Here is an example attached
So, the calculated column for Rita will give -4 (body weight at Last=56 and BodyWeight at baseline=56, so 52-56 =-4)
the sample data you provided is a little weird, particularly the [Day] column. if it's within your control, I suggest to use actual dates rather than a number/string here.
barring that, I was able to get your desired results, but it required two calculated columns: the first one will consolidate the [Day] and [Baseline] columns into a single column, and the second one contains your desired info.
column 1, which I called Day (int):
CASE
WHEN [Day]="Last" THEN 1000000
WHEN [Baseline]="Y" THEN -1000000
WHEN [Day]!="Last" THEN Integer([Day])
END
I picked a random high and low max to establish a chronological order. this will put 1000000 in place of "Last" (if you have any programs that are longer than one million days, you'll need to increase this number). the same for the [Baseline] column, but that value will be -1000000, which is presumably the lowest value you will ever see in this column. both of these are assumptions and may not work for your implementation. finally, in all other cases, the day number will be used.
column 2, which I called Diff:
Last([Weight]) OVER (Intersect([Name],LastNode([Day (int)]))) -
First([Weight]) OVER (Intersect([Name],FirstNode([Day (int)])))
the first line uses what's called an OVER expression to retrieve the first value for [Weight], ordered by [Day (int)], per [Name]. the second line gives the reverse of that, and so the difference is calculated as -4 (or whatever is appropriate).