I am trying to rank records in power pivot table using DAX as below in MSSQL analysis service tabular model.
Example details:
I have a shop sales detail in table.
e.g.
ShopNo date sales
-----------------
1 2014-11-09 120
1 2014-11-09 130
2 2014-11-10 130
2 2014-11-10 135
In pivot table data is analyzed month and year wise.
I want to see result like
ShopNo sales rank
-----------------
2 265 1
3 250 2
Any solution is there to display statewise population automatically.
Thanks
You should be able to achieve the ranking quite easily with PowerPivot using this formula:
RankShop:=RANKX(ALL(SalesTable[ShopNo]), [Sum of sales],,,Dense)
With SalesTable being your shops sales table. If you then create a pivot table - drag ShopNo onto Rows and add new Measure (Excel 2010, in 2013 it's Calculated Field). The resulting table could then look like this:
To find out more about RANK function, I suggest this article.
In order to hide the rank value in Grand Total row, add a simple condition that puts blank values in case of grandtotals:
=IF(HASONEVALUE(SalesTable[ShopNo]), [RankShop], BLANK())
Hope this helps.
Related
I have a SQL Server database with a table dbo.sales with 7 columns.
First column contains different sales person names, on column 2 to 6 other information, on column 7, sales average.
Question: what I need is a query to get all sales person details (all seven columns in Excel) if their sales average is more than 60% between a given date.
For example: in my database, I have data from 01/05/2016 to 31/05/2016, if I enter a period in my Excel sheet between 25/05/2016 to 31/05/2016 and my required average for ex. 60% (should be changed as per my need), then I need all the sales person details who continuously have sales average of more than 60% between 25 to 31st May 2016.
If a sales man average was dropped below 60% on 28th May, then I don't want to see him on my report. In simple words, I need all sales person who continuously hitting 60% or more on average sales within my search period.
Not sure if the sales period date is within the table, but if it is, that query should work for you:
;WITH PeriodSales as (
SELECT * FROM Sales
WHERE SalseDate between #StartDt and #EndDt)
SELECT * FROM PeriodSales
WHERE SalesPerson not in (
SELECT SalesPerson FROM PeriodSales
WHERE CASE WHEN IsNumeric(salesavg) = 1
THEN CAST(salesavg as Decimal) ELSE 0 END <= 60.
);
I have a table here with following fields:
Id, Name, kind. date
Data:
id name kind date
1 Thomas 1 2015-01-01
2 Thomas 1 2015-01-01
3 Thomas 2 2014-01-01
4 Kevin 2 2014-01-01
5 Kevin 2 2014-01-01
5 Kevin 2 2014-01-01
5 Kevin 2 2014-01-01
6 Sasha 1 2014-01-01
I have an SQL statement like this:
Select name,kind,Count(*) AS RecordCount
from mytable
group by kind, name
I want to know how many records there are for any name and kind. Expected results:
name kind count
Thomas 1 2
Thomas 2 1
Kevin 2 2
Sasha 1 4
The problem is that it is a big table, with more than 50 Million records.
Also I'd like to know the result within the last hour, last day, last week and so on, for which I need to add this WHERE clause this:
Select name,kind,Count(*) AS RecordCount
from mytable
WHERE Date > '2015-26-07'
group by kind, name
I use T-SQL with the SQL Server Management Studio. All of the relevant columns have a non clustered index and the primary key is a clustered index.
Does somebody have ideas how to make this faster?
Update:
The execution plan says:
Select, Compute Scalar, Stream Aggregate, Sort, Parallelism: 0% costs.
Hash Match (Partial Aggregate): 12%.
Clustered Index Scan: 88%
Sorry, I forgot to check the SQL-statements.
50 million is just lot of rows
Not anything you can do to optimize that query that I can see
Possibly a composite index on kind, name
Or try name, kind
Or name only
I think the query optimizer is smart enough for this to not be a factor but but switch the group by to name, kind as name is more unique
If kind is not very unique (just 1 and 2) then you may be better off no index on that
I defrag the indexes you have
To query the last day is no big deal because you already have a date column on witch you can put an index on.
For last week I would create a seperate date-table witch contains one row per day with columns id, date, week
You have to pre-calculate the week. And now if you want to query a specific week you can look in the date table, get the Dates and query only those dates from your tabele mytable
You should test if it is more performant to join the date columns or if you better put the id column in your myTable an join with id. For big tables id might be the better choice.
To query last hour you could add the column [hour] in myTable an query it in combination with the date
I have a View that has a structure similar to the following:
Id Name State ZipCode #Requests AmtReq Price Month Year
1 John IN 46202 203 33 $300 1 2015
1 Jane IN 46202 200 45 $100 2 2015
...
Queries require reports to be generated for given quarters (1st quarter will include the first three months ...) grouped by state
The result should look like this:
Ist Quarter ...
January February ...
State ZipCode #Requests AmtReq Price #Requests AmtReq Price ...
IN 46202 203 33 45 200 45 100
I feel that this can be done using pivoting but I do not have experience with it. I tried with single column pivoting and had some success, but not in this scale.
Another approach would be to create a stored procedure that will generate the data for me and then just fix some formating (e.g., the first two rows) in the client. Any suggestions on how to approach this problem?
I am using SQL Server as a DBMS.
If you have MS Excel on your machine then you can export the view to Excel and summarize it to a pivot table. From there you can create table and diagrams as you needed.
I am using Crystal report to do a sum over 3 columns. The table structure looks like:
table #test (Country VARCHAR(10), Name VARCHAR(10), Weight VARCHAR(10), Qty INT)
I wrote a query in the crystal command pane when I do the connection:
SELECT Country, SUM(Qty) As Qty, Name, Weight FROM #test GROUP BY Country, Name, Weight
I should get something like:
CANADA 2 John 200
US 1 John 160
US 2 Mike 180
US 6 Sam 90
However, the crystal report does not sum the field, instead it pulls every single row, and the result looks like I write the query:
SELECT Country, Qty, Name, Weight FROM #test
CANADA 1 John 200
CANADA 1 John 200
US 1 John 160
US 2 Mike 180
US 3 Sam 90
US 3 Sam 90
By the way, the backend database is called "Cache". It might be due to there are some hidden characters, but I cannot see them. I have used replace (char(10)), replace (char(13) and trim to try to clean.
I also try to pull the table column directly without writing the query, but I do not know how to sum three columns (Country, Name and Weight). I only know how to sum one column. By the way, the request do not want the details, only the sum over these three columns;
First group by country.
Create one more group by quantity
Create one more group by name
Place weight in details and take the sum for all 3 groups if you need or only particular group
Supress tje details.
I would like to do data mining. But my data is not useful.
my table structure is something like:
date customerid age residence prosubsclassid productid
----------------------------------------------------------------------------
21.11.2001 123232323 a b 2099 23232322
amount asset sales
------------------------
4 34 56
Now I have to show the data in this way:
prosubsclassid 130207 130208 130209
------ ------ ------
1413232 1 3 1
3435545 2 1 2
3534344 3 1 sum(amount)
Column(customerid)
I want to convert to tabular form in my data.
There is no automatic way to do this. There are support for pivot in SQL server, but the columns still needs to be specified.
Depending on if you want to have a text report or a table with dynamic columns I would group the data per date and prosubsclassid and then using a cursor to build the data.
If you want a dynaic table build a dynamic sql query based on the grouped data and run Exec.
If you want text report, just concatenate the string data the way you want per line into
a temp table with one textcolumn and when you are done, select the table.