Hope you'll be able to help me.
I have a table with 11 columns, the first one is a date, the next 9 ones are a way of uniquely identifying data and the 11th is a certain amount of money.
What I'm doing in a pivot table is showing the added amount according to one of the identifiers (lines) and dates (columns).
All is well and quite easy to do in a pivot table. Today though I was told that the amounts in my source table are actually cumulative since the beginning of the year.
What I mean is that there are recurring entries in that table and that if I have an entry with the 9 identifiers in january and the same in february and march for example, the value of the one in february is actually (february-january) and for march (march-february).
I could through the unique identifiers just add a column in my source table to identify and calculate the real amount, but I was wondering if there was a way to do so in the pivot table directly ?
Thanks !
Edit :
Here is a screenshot of a simplified version (only two identifiers)
In the fourth column is the amount I have, and in the fifth the real one, that I have to calculate, it is quite easy with only two columns as identifiers.
The goal here is that the pivot table at the bottom shows the "real" amount without me having to create a new column in my source table.
My example table
You can do it using Calculated Items. But it is cumbersome.
A Calculated Item is just another item that a Pivot Table field can take. It is defined in terms of the other items in the same field. For example, the field Date might have values of Jan17, Feb17, etc. A new calculated item called Difference can be added to the Date field and defined as =Feb17-Jan17. This new Difference item will appear whenever the Date field is used to provide row or column labels and the values displayed for it in the main body of the pivot table will be equal to the corresponding values for Feb17 less those for Jan17.
The discussion below is based (loosely) on the pivot table in the picture accompanying the question.
Calculated Items cannot be calculated on grouped fields, so it will be necessary to ungroup the Date field in the pivot table. This will cause the items in the field to be displayed in the same dd/mm/yyyy format as the source data. Changing these to the custom format of mmmyy makes them easier to work with. In English (rather than French) they get displayed as Jan17, Feb17, etc. using this format.
To add a new Calculated Item to the Date field, select any item in this field and locate the Calculated Item option via the ribbon. This has changed across versions of Excel, in Excel 2010 it is accessed via the "Fields, Items & Sets" button of the "Pivot Table Tools/Options" tab of the ribbon. In later versions it accessed via the "Calculations" button of the same tab. A dialog box will appear as illustrated below.
In the Name: box insert a suitable name such as Feb17Xand in the Formula: box enter =IF(Feb17=0,0,Feb17-Jan17). Click "Add" then "OK". The new Date item labelled Feb17X will appear in the pivot table and will show values of 20, 0 and 0 against projects A, B and C respectively.
Feb17X is the decumulated Date item for February. The IF is necessary because although the Amountvalues are cumulative, they only appear in the source data whenever a new Amount occurs in the month (for example Project B and Department IS has data showing for April and June but not for May).
Similar decumulated Date items can be defined in the same way for the other months.
For March, Mar17X is defined as
=IF(Mar17=0,0,Mar17-(Jan17+Feb17X))
and a new Mar17X item is added to the Date field. Unfortunately, this shows values of -28, 0 and 0 against projects A, B and C, respectively. To get the correct values displayed, it is necessary to add the Department field to the row labels in the pivot table (below the Project field) and then to use the "Collapse Entire Field" operation to stop the detail of the Department field from being visible.
The calculated items for the remaining months are added as expected - that for June is Jun17X and has formula
=IF(Jun17=0,0,Jun17-(Jan17+Feb17X+Mar17X+Apr17X+May17X))
Once the new items have been defined for the Date field, a filter is applied in the pivot table to remove the cumulative items ie, Feb17, Mar17, Apr17, May17 and Jun17. This results in the pivot table displaying the sum of the decumulated values as shown below.
A few points:
The zeroes in the pivot table can be suppressed from display by setting the number format of the Amount field to #
In the larger problem where each Amount is defined by a Date, Project and 8 further field values, the row labels of the pivot table will need to include Project and all 8 of the attribute fields. The latter 8 fields will need to be "collapsed out" of the display.
It is much, much simpler to add a decumulated Amount column to the
source data range rather than using the Calculated Item approach set
out here. Sorting the source data by the 9 attributes (Project
first then the remaining 8) and then by Date makes the task
of decumulation very easy. Simply compare the 9 attributes in a row
with the previous row: if the values are unchanged between the two
rows, subtract the previous row's Amount from the current row's,
otherwise leave the current row's Amount unchanged.
Related
I'm working on achieving the following data transformation/wrangling within Power Query but can't seem to get there on my own. i have read a lof of different questions and answers on the forum but it seems just a bit beyond my grasp.
I have a table which has the ticker of a specific currency in the first column.
There is a second column with the date and time when a certain event, related to that specific currency, happens. This second column is basically the different 5-minute intervals which exist on any given day.
Finally there is a third column which describes the magnitude of the event.
The table therefore looks like this
What I would like to do in power Query is transpose the uniques name of the currencies as the first row of a new table. The first column of this table would be the largest time interval for any given currency. In this case, as you can see in the data I am attaching, the largest timeseries would be that of the currency ETH. Using the longest calendar as our first column I would then like to place the values described in item 3 above as rows in the new table.
The new layout would look like this
My steps to transform the raw data in the first table are detailed in this image. Basically just expanding a JSON file and getting all the data I need into that first format which I described previously.
What I then do is:
Pivot using the first column
Transpose
That gives me a whole bunch of new columns. Way more than I want. Any idea what I can do differently?
In powerquery,
click select pair column
Transform .. pivot column .. values column: basis advanced options: do not aggregate
code:
#"Pivoted Column6" = Table.Pivot(YourPriorStepName, List.Distinct(Source[pair]), "pair", "basis", List.Sum)
output:
I am having an issue with showing last value.
I have a source table, where is every single day (once) and for each day I have for item 1 total amount in stock.
I put it in pivot table. Column for total item in stock, for each day in month July for example, shows me balance for every day. When I group the month, it shows cumulative amount - which is wrong. I need to show last value.
Therefore I searched for a solution, I found on webpage ExcelJet this.
But when I tried it, for some reason, the date 31/07/2020 shows value 0 on top first, and on top second place the correct value for the last day of month.
Does anyone know why that happens? In source data there is 31/7/2020 with only 9.546.
You are applying the filter in the wrong field. You must apply it to your AMOUNT field, and you are applying it to your ITEM field (the field that holds the value VEL).
This is happening because you are working in the compact view of Pivot Table, and I think it's easier to work in tabular design.
Design the layout and format of a PivotTable
My Pivot Table is like this:
As you can see, ITEM and AMOUNT field are in the rows section. And DATE field in the Values section, set to MAX DATE and renamed as LATEST.
The filter is applied in the field AMOUNT.
I know what you mean, but actually the filter is applied on the correct field/row. See the prtscrn.
For the references, I attached the source table too.
btw, if I tried filtered out the column Note it still doesn't work properly
I've got a pivot table that contains Countries in Rows and few different types of revenue in columns, grouped by Scenarios. I've got 5 types of scenarios, and I need to show 2 of them at once for comparison.
It looks like this:
ScenarioX ScenarioY
Revenue1, Revenue2, Revenue1, Revenue2
Country1
Country2
The problem appears when I want to add a variance columns, that would calculate the difference between Revenue1(ScenarioX) and Revenue1(ScenarioY) etc.
I know how to use calculated fields, but this case is much harder, is it even possible?
I have tried to add a standard table right next to the pivot table, that takes the values directly from the pivot and calculates them. It works, but in this case i will need to hide and expand the table basic on the revenue type filter, which crashes the table.
ScenarioX ScenarioY Variance
Revenue1, Revenue2, Revenue1, Revenue2, Variance 1, Variance2
Country1 Rev1X-Rev1Y, Rev2X-Rev2Y
Country2 Rev1X-Rev1Y, Rev2X-Rev2Y
What I need exactly is a hint, how to add the calculated fields, or other methods (through vba maybe?) to make the table look like above?
Ok found the solution finally, posting here, maybe it will help someone:
Duplicate the field in the pivot table "VALUES" area
[optionally - change it's name to "Variance"]
Right click on the new field -> Value Field Setting -> Show Values As tab
In the Combo Box change the field to "Difference From"
In the Base Field in my case I had to select "Scenario", in Base Item - the scenario that
will be substracted from the main one.
I am using Excel Powerpivot with data in two separate tables. Table 1 has ITEM level data with a BRAND characteristic. Table 2 has BRAND level data. The two tables are linked by the BRAND key. The measure I am using is non addable. i.e. the sum of the ITEMS does not equal the BRAND. The pivot is set up with ITEMS nested under BRANDS in the rows and the Measure in the column.
Excel assumes that I want to summarize ITEM to a BRAND level by applying SUM, MAX, MIN, AVG, etc. I would like to return the actual values from the appropriate ITEM or BRAND level table and not apply any calculations to the values. Is this possible?
If what you are effectively trying to do is produce a different result for the Brand rows (e.g. blank()) then the answer is to write a further measure that does a logic check to determine whether or not the row in question is an ITEM or a BRAND.
= IF (HASONEVALUE(table1[Item]), [Measure], Blank() )
Bear in mind that this will work for your current pivot but may not be adaptable to all pivots.
This assumes that you have explicitly created a measure called [Measure] and you are not just dragging the numeric column into the values box. If not you can create the initial [Measure] something like this:
= Sum(table1[Value])
Where Value is the column you want to use in the measure. Although you have used a sum, if it relates to a single item which has a single row in the table it will give the desired result.
I have a list of items - each item has a title, plus a bunch of attributes, including a date.
If I drop the date into the row box of a pivot table, then group it, and drop the title below - so I have Years, Quarters, Created On, Title, I get a nice list of all the titles in my data, grouped by year, quarter and month.
But I want to also display all the other attributes next to the title of each one - all the associated data for each row. With the textural ones, I don't want to count them - I just want to list the entire data set, but grouped by date. If I add them to the other pivot table boxes it starts doing the usual counting...
It would be nice to have all the extra filtering power of pivot tables, but am I making this too hard?
Thanks for your help.
To display text data, you will need to use the data label feature.
Non pivotable text aggregation is easily accomplished in M code in power query One of my posts.