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]))
Related
After looking at a few similarish questions I figured I needed something more specific so asking here. I will start by explaining the situation:
The Setup
I have a Store which sells Cakes, Cookies and Wine. I have the weekly sales data of each product sorta like this:
Product ID
Product Name
Quantity
Value
Week Ending
1
Ginderbread
2
£4
13/01/22
2
Chocolate chip
5
£25
13/01/22
3
Red Wine Bottle
1
£10
13/01/22
4
Sponge Cake
3
£9
13/01/22
Currently every week's data is stored within the same table, with me using a Week filter to show only the week i'm interested in.
Using this Data I created PivotTables that shows the sales of each category, with the ability to drill down to show the specific products. Table looks something like this:
Category
Quantity
Value
Cakes
2
£4
Cookies
7
£29
Wine
1
£10
The issue
I now want to stick in a new calculated column that shows the Value as a %. E.g The total value for the previous table was £43, so Cookies is about 67%. If I drill down, it would show the Chocolate Chip record as 80% and Gingerbread as 20%
I imagine doing this would be easier if each individual week's data was on a different table, but I got a lot of weeks and I also want to do tables showing the sales for over a period of time. Plus I don't know of a way to merge the "value" and "quantity" columns, etc instead of having 1 for each week being shown.
any advice would be appreciated
Create an extra column in the source table (prior to filtering) entitled "perc" calculated as the corresponding value for each row divdied by the total value across all rows (se pic. / eqn. for first row below) --
=E2/$E$6
No calculated fields required - just include perc as the mesaure of interest in your pivot table, with value setting as 'sum':
The reason why this worked is because of the common denominator - which allows one to sum ratios on a 1:1 basis.
Devising a calculated field using the standard 'fields, items & sets' functionality for ordinary pivot tables would not be feasible / possible as far as I am aware. You would need to move into the realm of power pivots and data models - which is not too complicated (readily accesible directly from the field list per below) - however, I see this as unnecessary complication for the task at hand.
Side notes:
Using table names in your functions is sometimes more convenient when entering, albeit may appear tricky at first when reviewing - first eqn above becomes:
=[#Value]/Table1[[#Totals],[Value]]
I'm working on a charging matrix where project managers can input time to the top three contracts in each category based on a week to week basis. Right now I have a pivot table with the categories (Production, Spares, Development) with multiple contracts that were charged that week. I manually select the top three from each category and copy into a table where I have formulas creating charge numbers for the project managers to use.
The question is, is there a way I can automate selecting the top 3 contracts from each category based on number of hours for that specific week?
Pivot Table & Charging Matrix
You can use LARGE() to get the top 3 (large(data,1) etc)
Then use index() and match() to get the contract names.
I have made a simple example here, but it will not deal with duplicate results in the hours if they are in the top 3...
There are solutions to that already posted.
If I understand you correctly, you want to automate the process of finding the top 3 contracts under each category and then create the charge number based on the results.
You can do so by creating a new pivot table as demonstrated below, put the Category Name and Contract Name in the Rows field, and put the Hours in the Values field, then right click anywhere within the Row Labels column of the pivot table, go to Filter -> Top 10... -> enter 3 in the second field, then you should have the top three contracts for each category.
P.s. You can choose to sort the hours from largest to smallest, and choose NOT to show the subtotals for each category.
Once you have the list, you can enter your formula (I presume you used a formula) in corresponding cells in column H (as in my example) to create the desired charge number.
I am having issues translating the following formula to a pivot table; either through a regular pivot table, or through DAX and powerpivot.
=SUMPRODUCT((C$2:C$11)*(D$2:D$11)*(A$2:A$11=A2)*(B$2:B$11=B2))/SUMIFS(D$2:D$11,A$2:A$11,A2,B$2:B$11,B2)
The background is, I have a number of products that appear on an e-commerce site, and I need to find out their price per day. However, these prices change daily, based on things like promo codes, visitor location etc. Therefore, I need their weighted price based on the number of visitors that saw a particular price.
Can anyone help with this translation, or alternatively, offer a better way to approach this problem?
PS- I need it in a pivot table due to the volume of data. At 250,000 rows, standard Excel cannot handle this formula.
The following is in Excel 2010 sans Powerpivot. However, the general approach should work:
Explanation:
I added a column that multiplies the Prices and Visits. The pivot table uses Dates, then Product SKU as the row labels. Then I added a calculated field that divides the Price*Visits by the Visits.
I am having an issue that I am hoping some more experienced DAX programmers may be able to help me with. I have been trying to develop a dashboard in Excel 2013 / PowerPivot / PowerView and one of the graphics I would like to display is a line chart of median performance by hour of day. I would then like to filter the data set with my performance metrics based on a separate column, and link that to a slicer. The medians should be calculated relative to the filtered data set. For the median calculation I am trying to adapt the formula proposed by Marco Russo here (http://sqlblog.com/blogs/marco_russo/archive/2010/07/20/median-calculation-in-dax.aspx).
To illustrate the problem, suppose that I have two tables - main_table and other_table. Main_table has 4 columns- RowID, hour_of_day, performance_metric, and category. Other_table has two columns- hour_of_day and median_column. My goal is to find a formula for median_column such that it shows the median performance metric by hour of day, but can still be sliced by category. The formula I tried to use for the medians was
=CALCULATE(
MINX(
FILTER(
VALUES(main_table[performance_metric]),
CALCULATE(
COUNTA(main_table[performance_metric]),
main_table[performance_metric] <= EARLIER(main_table[performance_metric]))
> COUNTA(main_table[performance_metric]/2),
main_table[performance_metric]),
FILTER(
main_table,
main_table[hour_of_day] = EARLIER(other_table[hour_of_day])))
Or without formatting:
=CALCULATE(MINX(FILTER(VALUES(main_table[performance_metric]), CALCULATE(COUNTA(main_table[performance_metric]), main_table[performance_metric] <= EARLIER(main_table[performance_metric])) > COUNTA(main_table[performance_metric]/2), main_table[performance_metric]), FILTER(main_table, main_table[hour_of_day] = EARLIER(other_table[hour_of_day])))
However, when I create a slicer based on category in main_table, my chart does not seem affected by the slicer. My understanding was that by putting main_table as opposed to ALL(main_table) as the first argument in the last FILTER call, my median calculations would be subject to slices and filters applied to main_table. Am I missing something obvious here?
Calculated columns are apparently computed before queries are executed, therefore anything that needs to be affected by slicers must be entered as a measure, not a calculated column.
Answered in more detail here (http://www.mrexcel.com/forum/powerpivot-questions/741071-medians-context-issues-dax.html#post3641780)
I have created a power pivot table as shown in the picture. I want to calculate quarter over quarter sales change. For which I have to divide for example corporate family "Acer" 's sales in 2012Q4 by sum of all the corporate family. I am using calculated measure to do this, but I am not sure what formula I can use.
My need is to create two columns, one for 2012Q4 percent of total and one for 2013Q1 percent of total. Then I will create another measure to find the difference. So the formula for 2012Q4 should be like this 1624442 / (1624442+22449+1200+16123) . Any idea which function can help me do it?
It sounds like you are measuring the change in the percent of total for each corporate family from quarter to quarter. You will need to create 3 calculated measures. I'm not sure what your model looks like so I can't give you the exact formula, but here is the idea.
CurrentQtr%ofTotal:= Divide(Sum('Sales'[Units]),Calculate(Sum('Sales'[Units]), All['Product'[Corporate Family])))
PrevQtr%ofTotal:= DIVIDE(CALCULATE(Sum('Sales'[Units]), DATEADD(DimDate[DateKey], -1, QUARTER)),
CALCULATE(Sum('Sales'[Units]), DATEADD(DimDate[DateKey], -1, QUARTER), All('Product'[Corporate Family]))))
Change%ofTotal:= DIVIDE(([CurrentQtr%ofTotal]-[PrevQtr%ofTotal]),[PrevQtr%ofTotal])
I used the divide function because it handles divide by zero errors. You use the ALL function to remove the filter on the Corporate Family column from the filter context. The Change%ofTotal is just to find the differenc. I'm calculating % change but you may just want to subtract.
Here's the link to a good blog post on time intelligence. And here's one on calculating percent of total.
For percentages please follow the tutorial on the Tech on the Net.
Adding another column where you calculate a difference between two pivot columns will not work - this column is "unpivotable", as it relies on a column defintion. You would need to copy and paste pivot as values to another worksheet and do the extra calculation there.