I am pulling data from an Oracle database into Spotfire. For some reason, Spotfire formats all numbers as currency with 2 decimals. In my data sets there are a significant number of columns that should be integers. Having them come in as currency doesn't cause any calculation issues that I've found, but it is a formatting issue when columns that obviously should not have decimals are displaced with them.
I have tried using the CAST AS SMALLINT, INTEGER, and also ROUND in my SQL statements to try and get rid of the decimal places. So far, they have all been unsuccessful.
Any ideas on how I can get Spotfire to import numbers with the desired format, or am I going to have to manually change them after they are imported?
Below is an example of some of the functions I have tried.
> SELECT
>
> NAME,
>
> CAST(X_ID AS SMALLINT) X_ID,
>
> CAST(Y_ID AS INTEGER) Y_ID,
>
> ROUND(Z_ID,0) AS Z_ID,
>
> FROM TABLE
Thanks
Spotfire is importing It to the largest most precise data type needed. If you want to display it differently then simply go to Edit > Column Properties, click on the column in question and change the format. You can also do this for each individual chart if you don’t want to make a global change
Related
I created a simple DataTable visualization in OpenSearch Dashboard (which is basically Kibana in AWS). I want table with average time per user. So I group by user, and use "Average" metric. It works great, but! the log has time in milliseconds, with 3 decimal places. Can I round it (or even truncate If necessary) these 3 decimal places?
One option is to go to Stack Management > Advanced Settings > Number format to set decimals (in general, not for an individual visualization):
Otherwise, you could create a Table using the Time Series Visual Builder (TSVB) editor where you have the possibility to set the decimals through Options tab > choose 'Custom' for the Data Formatter > set the desired 'Numeral.js' Format string:
I have a bunch of statistical data that I have chopped up and pieced together in power query. In looks like there is category missing from the Database. To fill in the gaps I am trying to take the grand totals which are correct (red), subtract from that what I know to be correct, with the remaining numbers giving me my answer (orange).
The correct data starts with I1, I2, I3, I4, so possibly a grand total of these, by state.
At the moment this is filled by the following formula in excel;
=E53-SUMIFS($E$5:$E$44,$B$5:$B$44,B45,$C$5:$C$44,C45,$D$5:$D$44,D45)
Any help with how the heck I can do this in power query. I realise I cant use the same formula but any ideas would be much appreciated. I can change the text in red to total if that helps in some way?
Thanks
Here's one potential way. If you start with your spreadsheet set up similar to this:
I only used a subset of your StateIDs from your example and generated my own Values for this example. And the figures in the Available column would be from your red section.
Then add the table from the spreadsheet to Power Query (in Excel, you would click on the table and then Data > From Table/Range > Select My table has headers and click OK).
In Power Query:
You'll probably have to change the TimeID type to date if you want to use the dates for anything, because it will probably come in as date-time type--I won't use the dates here though, so you could skip changing the type (otherwise, right-click the TimeID column > Change Type > Date)
Then use Group By to aggregate values and set the stage for the calculation you want (select the StateID > Group By > and setup the groupings like below and click OK)
You should see something like this:
Then add a new column with your calculation (Add Column > Custom Column > Set it up like below and click OK)
You should see something like this:
I am trying to create an appropriate Format table property of a specific MS Access table in order to achieve the display style described below. For example purposes, let the table name be example and the field that I am trying to format be dollars
When example!dollars.Value is 567.98, I wish to display $0.567K. I also wish to display 1,000.42 as $1.000K.
In another table storing larger values, I use the Format property string $#,##0,\K; ($#,##0,"K)"[Red];"| < $1K |"; --, which successfully displays the amount in K dollars; however, any values less than $1K cannot be displayed. This is not acceptable due to the scale of the values in the example table.
The most intuitive solution is to use the string $0,000\K and specify the thousands separator as . instead of ,. However, I do not know how to do this.
Any advice will be greatly appreciated!
This works for me:
Kamount = Format(Amount/1000, "$0.000K")
So divide by 1000, then format as needed.
Use the Format property string $0\.000\K
I've got two date fields from two tables and I'm trying to show receipts of POs in line with work order consumption sorted chronologically.
Is there any way to sort two date fields together?
For instance:
1/1/14 work order date
1/5/14 work order date
1/7/14 PO receipt date
1/9/14 work order date
1/20/14 work order date
The two fields are 'duedate' from table 'porel' and 'reqdate' from table 'jobmtl'
Usually the simplest solution in such cases is to perform the ordering at the server side (e.g. using SQL Server stored procedure, Access query, etc.), and then use the stored procedure or query as the source for the data.
An alternative that I read about is to create global variables in the report, assign your dates values to these variables using 'WhilePrintingRecords;' in formula fields, and using these variables that then does the actual reporting for you.
Slightly complicated.
Another solution which I am not sure if applies to you is :
Click on the main menu > Report > Record Sort Expert
Select your date field in the box on the left and add it to the box on the right
Check the Ascending checkbox and click Ok
Let us know how it goes.
you should create a formula saying
if (table1.duedate = null) then
{table2.duedate}
else
{table1.duedate}
Then sort on this formula. Check the syntax yourself.
I am calculating sum of all sales order (by multiplying quantity and price of a sales order - assume one sale order has only one item and using the sum function) in SQL query and I am spooling the output to a CSV file by using spool C:\scripts\output.csv.
The numeric output I get is truncated/rounded e.g. the SQL output 122393446 is made available in CSV as 122400000.
I tried to google and search on stackoverflow, but I could not get any hints about what can be done to prevent this.
Any clues?
Thanks
I think it is a xls issue.
Save as xls.
format column -> number with 2 decimals for example.
Initially I thought it might have something to do with the width of the number format which normally is 10 (NUMWIDTH) in sqlplus, but your result numeric width is 9, so that can not be the problem. Please check your query if you use a numeric type that doesn't have the required precission, and thus makes inexact calculations.