As you can see, employee 6006 is aligned to two projects. I want to display the sum of commitment without having project ID in the view.
Like this:
When I add sum of commitment to the view it does not add the two values up it just gives two bars with a total of 50 for each rather than showing an overlapped sum of 100. Any ideas?
Related
I have 4 columns: Companies, Products, Sales and Sales Growth.
I need to create a cross table with Companies in Horizontal axis, Products in Vertical axis and Sales Growth in cell values. But I need to show only top 10 products (by sum of sales) and top 10 companies (by sum of sales as well) in my vizualisation and I don't know how to restrict products and companies in my axisses.
I tried to calculate new ranking column which I would use as a condition in axis definition, but the result of my calculation is completely wrong and I really don't know what's wrong, it seemed so simple.
DenseRank([Company],"desc",sum([Sales]))
Next options are to use Show/Hide Items or Data limitation, but I didn't manage to set it correctly.
Could you please give me some advice how to do this?
Thank you
The closest example I have is limiting to the top Nth products per company.
Using show/hide with an expression of Max(DenseRank(Sum([Sales]) OVER (Intersect([Companies],[Product])),"desc",[Companies]))
Sorry about the title, it was hard to figure out how to word this. So, my main problem is a Total Count column represent the overall quantity, but the other columns are PART of a Total Count column. This wouldn't be so bad except the other columns may be part of each other too. Meaning, for like 11/26/18... the Total Count column is ALL of the Item Count, but some of the other ones may be in New PR Count too, but not necessarily all. Same thing with Dropped Outside LT and Dropped Late columns. They are all part of the Total Count column but all are not necessarily separate.
I feel nothing short of a bunch of complex formulae or macros will fix this so, what is my best option to show at least the individual counts? I was thinking to have the Total Count column as a Clustered Column chart type, the other columns as a Stacked Column and the 2 lines as is. Or all columns just be Clustered Columns and lines as is. What do you all think would best show this data?
So sadly, due to proprietary, I am told at work not to upload an image of the chart. FUN. So, here is what I have..
7 Series - 5 Series are Stacked Columns in Primary Axis, 2 Series are Line with Markers in Secondary Axis. Each column is for a single week's entry of data (so based around a Date entry.
The two Line with Markers are percentages (Secondary Vertical (Value) Axis) on right side of chart. On left side is Total Count (Verical (Value) Axis) basically showing a Count being connected to the Total Count column.
I have a report with 2 pie charts, giving sales data for product groups. Running a dataset from an OLAP cube.
I want to be able to select 2 different dates for each chart.
Example; Someone wants to compare November sales to the previous month. So one chart to display October, one to display November. Or they might want to see how Jan/Feb/Mar compare to Apr/May/Jun.
Can this be done from the same dataset, or do I need to point each chart to a separate dataset?
If the dataset returns the data for both months, you could add filters to each chart to show the appropriate one. However, it sounds like you'd want this to be more dynamic.
I would suggest creating two separate datasets, each with a month parameter. This will allow the user to select any combination of two months. The charts would simply point to their respective dataset. You shouldn't incur a noticeable performance hit either way.
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 have a list (30+) of users with the number of times those users were active per month in my system. I'm using an Excel chart to show which users have been consistently active over time. About one third of the users come consistently (several times a month) while others come one month and not another.
Unfortunately since I have 30+ users, the colors in the Excel chart are difficult to distinguish from one another. What I was thinking to remedy this was to only show the top 10 (or 15) users and group the others into an "others" or "catch-all" bucket and still shows it in the chart.
A sample image of the chart:
What's the best way to do this?
Add a column that differentiates 'Active' from 'Non-active'. In the sample I had to create overall B and C were the most active so I populated D2 down with:
=IF(OR(B2="B",B2="C"),"Active","Non-active")
Adjust the formula if that distinction is made on a month by month basis. Create a Stacked Column PivotChart and in the PivotTable move the 'Active' together as necessary. Select each of the Non-active series (here only two for illustration) in the chart and apply the same colour fill to all.